Real global GDP crosses 1.5× / 2× / 3× / 6× of 2026 baseline (sustained ≥1 year)
- 2026-05-24P10 2036 · P50 2049 · P90 2080Initial estimate from initial research. Baseline-anchor correction made the same day: trigger sentence updated from a draft $116T PPP figure to the actual IMF WEO April 2026 value of $222.8T PPP. Forecast timing unchanged because the gate resolves on multiplicative ratios (1.5×/2×/3×/6×) to the 2026 baseline, not on an absolute number.
- ⊞ AI cognitive task automation 30pct acceleratesTriggers the leading mechanism for explosive GWP growth; GATE simulations show 20%+ growth rates at 30% task automation and >30%/yr at 50-70%, making this the single strongest enabler of tiers 2-4.
- ⊞ Self-replicating humanoid factory capital acceleratesIndustrial capital building copies of itself at 9-18 month doubling times is the canonical mechanism for tier 3 (3x) and tier 4 (6x) growth; without it, physical-economy growth is capped near 8-12%/yr.
- ⊞ Metals bill-of-materials cost reduction acceleratesCopper, REE, and lithium are identified as the binding non-AI bottlenecks above ~2x GWP; a 30% BoM cut buys 2-3 additional doublings of physical economy expansion before constraints rebind.
- ⊞ Cheap residential solar and storage acceleratesSub-$0.04/kWh electricity unblocks AI compute scaling and robotics manufacturing throughput simultaneously, compounding into GWP; energy is a shared prerequisite for both cognitive and physical automation channels.
- ≣ Global demographic population decline delaysUN WPP 2024 projects working-age population growth turning negative globally by ~2080 and global fertility collapse (China TFR ~1.0, South Korea ~0.7); without AI offset, this pushes baseline growth toward 1.5-2.0%/yr by 2050, delaying all tiers by 5-15 years.
- $ Geopolitical trade fragmentation tariffs delaysWTO April 2025 projects merchandise trade declining 0.2% in 2025; UN-DESA estimates US tariff escalation cut 0.4pp from 2025 global growth; cumulative 0.5pp/yr drag shifts the 2x tier from 2049 to ~2053-2055 if fragmentation persists.
- ≣ AI productivity GDP measurement gap delaysQuality-adjusted AI output grew ~2,500%/yr in 2024-25 while nominal AI GDP was only $250B; if AI value accrues as consumer surplus rather than priced output, measured GWP could formally miss the 3x and 6x thresholds even as underlying welfare triples.
TL;DR
I put P50 = 2041 for +50% growth, P50 = 2049 for +100% (doubling), P50 = 2060 for +200% (tripling), and P50 = 2075 for +500% (6×) of the 2026 baseline. The top-level timeline: is anchored on the 2× (doubling) tier: P10 = 2036, P50 = 2049, P90 = 2080. The headline finding is that under the IMF April 2026 baseline (3.1% global growth, projected to settle near 3.1-3.2% through the medium term) the 2× tier arrives mechanically around 2049-2050 with no acceleration whatsoever, and the question for the other three tiers is entirely about whether and when AI-driven productivity compounds onto that baseline. The IMF / OECD / World Bank baselines have global growth slowing further to ~2.5% by 2030 and ~2.1% by 2040 [1][2][3], primarily for demographic reasons (aging in advanced economies, fertility collapse in China and Southeast Asia, working-age population growth turning negative by ~2080 globally [4][5]). Without AI, the 3× and 6× tiers don’t trigger this century. With AI: Open Philanthropy’s Davidson (2023) model gives a median 100%-automation date of 2043 with takeoff (20% → 100% cognitive task automation) over ~3 years; Roodman’s (2020) stochastic model fit to 10,000 years of GWP data puts median GWP explosion at 2047; Erdil & Besiroglu (Epoch AI, 2023) put ~50% probability of >30%/yr GWP growth by 2100; Korinek & Suh’s (NBER 2024) aggressive AGI scenario reaches 18%/yr steady-state growth after a 5-year full-automation transition [6][7][8][9].
I distinguish explosive economic growth (this gate) from AGI takeoff (a different gate): the trigger here is the measurable economic outcome, not the capability of the AI system. The mechanism could plausibly be broad deployment of pre-AGI AI agents + humanoid robots + autonomous transport + cheap energy that compounds across the economy, without ever reaching a literal “AGI moment.” That broad-deployment path is what the Aghion-Jones-Jones (2017), Trammell-Korinek (2023), and Epoch AI GATE (2025) models actually predict when you plug in current-trajectory AI capabilities and let them propagate [10][11][12]. The reverse is also possible: an AI breakthrough that is genuinely AGI-class but is met with regulatory clamps, alignment delays, or a hard energy/metals bottleneck (Carl Shulman / Tom Davidson scenarios) that keeps measured GWP growth at single digits [13][14].
The critical headline for forecasting Tamir’s decisions: 2× by 2049 (P50) is the “boring baseline” and almost certainly happens under business-as-usual. 3× by 2060 (P50) requires AI-driven productivity acceleration starting by ~2035 and is the “AI-as-promised” scenario. 6× by 2075 (P50) requires sustained ~10%/yr growth from ~2050 onward, which is the actual transformative-AI scenario as economists describe it. The 1.5× tier (+50% by 2041) is roughly already locked in absent a major catastrophe — it’s just a function of compounding 2.5-3.5% baseline growth from 2026 to ~2040. Confidence is low overall because the variance across credible models spans more than 50 years: the 90% confidence interval for “2× of 2026 GWP” runs from ~2036 (aggressive AI scenario, Korinek-Suh aggressive) to ~2080 (secular stagnation, Gordon-Ramey baseline). This is the highest-uncertainty gate in the project and the one most coupled to whether the rest of the AI/robotics gates trigger.
Baselines and units (as of 2026-05-24)
The current baseline values matter because the trigger thresholds are multiplicative. As of April 2026 the IMF World Economic Outlook reports [1]:
- Global GDP at market exchange rates: $126.3T in 2026, projected to reach $158.4T by 2031 (~4.6% nominal CAGR, ~2.6% real).
- Global GDP at purchasing power parity: $222.8T in 2026 (in current international dollars), projected to reach $284.7T by 2031.
- Global real GDP growth: 3.1% in 2026, 3.2% in 2027, settling at ~3.1% medium-term — below the 2000-19 historical average of 3.7%.
The trigger sentence in the frontmatter anchors on $222.8T PPP (the IMF WEO April 2026 current-international-dollars figure). An earlier draft of this gate used $116T as a placeholder anchor; that was corrected to $222.8T on the same day this gate was first published. Note that the exact numerical anchor matters less than the multiplicative ratios (1.5×, 2×, 3×, 6×) because the gate resolves on a ratio to 2026, not an absolute number — switching the absolute anchor does not move the timeline. For reference, the same global economy expressed at market exchange rates is $126.3T in 2026, and the underlying real-PPP figure in 2017 international dollars is roughly $130–135T (the spread between these and the current-dollar PPP figure is price-level effects since the 2017 PPP rebenchmarking). Resolution will be against the IMF WEO’s published real growth rates from 2026 onward.
The IMF baseline scenario, compounded out at 3.1% real growth, hits each tier as follows: 1.5× in 2040 (14 years), 2× in 2049 (23 years), 3× in 2062 (36 years), 6× in 2086 (60 years). My P50s for the AI-acceleration scenarios shift these earlier by 1-11 years depending on tier, weighted by the probability of explosive growth materializing.
The 4 thresholds in detail
Tier 1: +50% (1.5× baseline) — P10 = 2034, P50 = 2041, P90 = 2055
What drives it: pure compounding of baseline growth. At the IMF’s 3.1% medium-term trend, the global economy reaches 1.5× of 2026 in 14 years (2040). At the OECD’s slower 2.7% post-2030 trend [2], it takes 16 years (2042). At a more pessimistic 2.0% trend (consistent with World Bank’s potential growth analysis [3]), 21 years (2047). My P50 of 2041 assumes the IMF’s near-term baseline holds but the OECD’s projected deceleration kicks in mid-2030s. The AI productivity boost is largely irrelevant for this tier because the threshold is hit before AI’s effect compounds meaningfully even in the most aggressive scenarios. The Bank of Canada notes that AI-related investment by top US technology firms grew from ~$200B in 2024 to ~$400B in 2025 [15], and the St. Louis Fed estimates AI contributed 50% of the 1.2pp acceleration in US labor productivity since 2017 [16] — but at the global GWP level these effects add at most ~0.5pp to growth through 2040.
Historical analogue: 1995-2007. World GDP grew at 3.5%/yr in this period, expanding by 1.5× over the 12 years. Drivers were China’s WTO accession (2001), the dot-com investment cycle, financialization, and emerging-market catch-up. The 2040s analogue would lean on India’s continued 6%/yr growth (now the fastest large economy, 4th largest at $4.3T nominal / $16.5T PPP in 2026 [17]), Indonesia and Vietnam continuing convergence, and Sub-Saharan Africa beginning its demographic dividend. The OECD projects Sub-Saharan Africa’s share of global output rising from 3% today to 13% by 2100 [2].
Key uncertainty: a global recession or major geopolitical shock (Middle East war escalation, US-China conflict, climate-related supply chain collapse) could shave 5-10 years off this trajectory. The IMF April 2026 WEO already flags Middle East war risk as the binding downside, cutting 2026 growth by 0.2pp to 3.1% [1]. A 2030s recession of 2008-09 magnitude (with global growth turning -2.7% as in COVID 2020) would push the 1.5× date to ~2045.
Tier 2: +100% (2×, doubling) — P10 = 2036, P50 = 2049, P90 = 2080
What drives it: this is the “boring baseline” tier. At the IMF’s 3.1% trend it triggers in 23 years (2049). At a 2.5% slower trend (OECD’s longer-horizon projection beyond 2040 [2]), 29 years (2055). At a 2.0% potential trend (World Bank’s pessimistic 2022-30 estimate [3]), 36 years (2062). The AI scenario shifts this earlier: Davidson’s takeoff model says 20% cognitive automation triggers a ~3-year acceleration to 100% [6][7], which on GATE simulations [12] yields 20%+ GWP growth as soon as 50-70% of tasks are automated. If the ai-agent-30pct-knowledge-work gate’s P50 of 2029 is correct, the 50% threshold is plausible by ~2032-2034, putting growth rates in the 10-20% range by mid-2030s, with 2× achievable by ~2038-2040 in the aggressive case. My P50 of 2049 is a probability-weighted average: 50% weight on the baseline 2049-2055 path, 30% weight on a moderate-AI-boost 2042-2046 path, 20% weight on an aggressive-AI 2036-2040 path. The P10 of 2036 captures the aggressive-AI scenario; P90 of 2080 captures deep secular stagnation + AI disappointment.
Historical analogue: 1980-2007. Real global GDP roughly doubled in 27 years from ~$33T (in 2010 PPP dollars) to ~$66T. The drivers — China rise, emerging market catch-up, post-Cold-War globalization, internet investment cycle — were structural and one-time; they don’t repeat. The 2049 doubling has to come from a different mechanism (AI productivity + robotics + India/Africa demographic dividend), which is why the confidence is lower than for tier 1.
Key uncertainty: this is the tier where AI matters most decisively. If McKinsey’s 2023 estimate (30% of US work hours automatable by 2030 with GenAI) [18] proves correct and translates globally with a 5-7 year lag, GWP growth of 4-5%/yr through 2035-2045 is plausible, hitting 2× by ~2044. If AI productivity proves more muted (Acemoglu’s <2% US GDP increase over a decade [19] is the bear case), growth rates stay at IMF baseline and 2049 is the central estimate.
Tier 3: +200% (3×, tripling) — P10 = 2042, P50 = 2060, P90 = 2095+
What drives it: requires sustained 5-6%/yr real global growth for 25+ years, or aggressive AI takeoff. At pure-baseline 3.1% the trigger is 36 years out (2062). At baseline + 1.5pp AI boost (5%/yr average) it’s 23 years (2049). The Aghion-Jones-Jones (2017) framework [10] notes that “complete automation of tasks by AI can naturally lead to growth explosion scenarios” once labor is no longer a bottleneck and capital becomes the sole accumulable input. Trammell-Korinek (2023) [11] formalize this: “Type I growth explosion” (growth rate increases without bound, but stays finite) is the baseline prediction of standard growth models when AI substitutes for labor on most tasks. Korinek-Suh (NBER 2024) [9] baseline AGI scenario hits 18%/yr steady-state growth after a 20-year transition; their aggressive AGI scenario gets there in 5 years. Either trajectory delivers 3× well before 2060 if AGI arrives in the early 2030s.
The realistic mechanism: by ~2035-2040, AI agents handle 50%+ of knowledge work [ai-agent-30pct-knowledge-work], humanoid robots are at 100M+ units globally and self-replicating in factories [humanoid-self-replication-factory], autonomous freight has reshaped logistics [autonomous-freight-delivery], solar+storage is < $0.02/kWh [residential-solar-storage-0.04], and the metals bottleneck has been partially relieved through asteroid mining or improved extraction [metals-bom-30pct, autonomous-resource-frontier-positive-roi]. These compound. Carl Shulman’s estimate of doubling-time for industrial capital under full AI automation is on the order of 1-2 years, conditional on energy and metals not binding [13]. Even allowing for 10× regulatory + adoption friction, 3× by 2055-2065 is plausible.
Historical analogue: there isn’t one. Tripling global GDP in less than 35 years has not happened in recorded human history, except possibly during the late industrial revolution (~1850-1900) if you accept that GWP roughly tripled then due to coal-fueled industrialization and electrification spreading from the UK to North America and Continental Europe. The Davidson / Roodman framing is that this would be a “phase transition” comparable to the agricultural and industrial revolutions [7][13]. P50 of 2060 reflects my view that this is more likely than not by mid-century, but with very wide error bars.
Key uncertainty: does AI-driven productivity actually translate into measured GWP, or does it get absorbed into consumer surplus, free-tier services, and lower prices in a way that doesn’t show up in GDP statistics? Korinek-McKelvey (PIIE 2026) [20] note that quality-adjusted AI output grew >2,500%/yr in 2024-25 but nominal AI spending grew “only” ~145%/yr — the divergence reflects rapid price declines that GDP measurement doesn’t capture well. If this measurement gap persists at the global scale, the “real” effects of AI on welfare could substantially exceed what’s captured in GWP, delaying the formal trigger.
Tier 4: +500% (6×) — P10 = 2050, P50 = 2075, P90 = beyond 2100
What drives it: this is the transformative-AI / intelligence-explosion scenario as economists actually describe it. Requires sustained 10%+/yr real growth for 15-20 years, which has no historical precedent at the global scale. The Erdil-Besiroglu (Epoch AI, 2023) [8] explicit definition of “explosive growth” is 30%/yr GWP (doubling every 2-3 years); they put roughly 50% probability on this happening by 2100. Open Philanthropy’s Davidson (2021) [21] estimates 10-25% probability of explosive growth by 2100, with central estimate around 25%. Roodman’s (2020) stochastic model fit to 10,000 years of GWP data implies a 50% probability of GWP explosion by 2047 [22], though the model is structurally biased toward earlier explosion dates because it doesn’t account for the demographic transition breaking the more-people → more-output → more-people loop.
The mechanism: full automation of cognitive labor (AGI) + full automation of physical labor (humanoid robots at billions of units, self-replicating) + abundant energy (solar at $0.005/kWh, fusion, SMRs) + abundant materials (asteroid mining, recycling, novel materials science). Each of these is plausible by 2050-2070. Combined, they break the Baumol-cost-disease bottleneck that Aghion-Jones-Jones (2017) [10] identified as the binding constraint on AI-driven growth: when all tasks (not just cognitive ones) can be performed by capital that compounds at machine-build doubling times, the historical 3% growth ceiling drops away.
Historical analogue: none in human history. The closest framing is comparing this to the cumulative growth from the agricultural revolution (~10,000 BCE) to today — a roughly 1,000× increase in GWP over 10,000 years. A 6× increase in <50 years would compress an industrial-revolution-magnitude shift into a single human generation. This is genuinely without precedent.
Key uncertainty: physical limits. Even with cheap energy and abundant compute, expanding physical industry to 6× current scale runs into copper, lithium, REE, and land constraints that have hard physics floors (see Defenses In Depth analysis [14]: copper extraction at 5× current scale faces 2× capital intensity multiplier from declining ore grades). Carl Shulman’s solar-as-fixed-factor argument [13] says we have 4-5 orders of magnitude of energy headroom before the heat-dissipation limit binds, but the practical engineering buildout takes decades. The other key uncertainty is whether human institutions (regulation, labor backlash, political stability) tolerate the transition; Stiglitz-Korinek (NBER 2021) explicitly warn that “AI, globalization, and strategies for economic development” point toward a possible return to autarky if developing countries lose comparative advantage in cheap labor [23].
Drivers and mechanisms
AI cognitive automation is the dominant driver across all four tiers. The mechanism is that AI labor is accumulable (more compute → more AI workers → more output → more compute), whereas human labor isn’t. This restores the increasing-returns-to-accumulable-inputs regime that drove super-exponential growth before the demographic transition broke it in ~1880 [10][22]. The Korinek-McKelvey (PIIE 2026) measurement framework [20] showing quality-adjusted AI output growing 2,500%+/yr in the US in 2024-25 is the first credible empirical evidence that this loop is operating right now — even if the GWP effects haven’t yet propagated through standard national accounts. By the late 2020s, if AI capability progress continues at current pace and deployment reaches the modal knowledge-worker job (gate ai-agent-30pct-knowledge-work P50 = 2029), the contribution to global TFP could be on the order of 1-2pp/yr, which over a decade compounds to a 10-20% level effect on GWP.
Robotics and physical capital automation is the mechanism for tiers 3-4 specifically. Cognitive automation alone doesn’t escape Baumol — there are physical things that need to be built, moved, and maintained. Humanoid robots (humanoid-retail-20k P50 = 2029; humanoid-self-replication-factory P50 unknown but likely 2032-2035) extend the accumulable-capital logic to physical labor. The Defenses In Depth analysis [14] argues that with current technology, the maximum achievable doubling time for the world economy is ~16 months once labor is unconstrained, dropping to ~9 months with full automation. This implies 2-3× growth per year is technically achievable; the binding constraints are metals (especially copper, with a 2-3× capital intensity multiplier at 5× current scale) and energy. The compounding effect with cognitive automation is multiplicative — both bottlenecks need to be relieved simultaneously.
Energy abundance unblocks both. The residential-solar-storage-0.04 gate (P50 = 2033) and the smr-first-oecd-deployment gate (P50 = 2032) are both pointing at sub-$0.05/kWh electricity at scale this decade. Carl Shulman’s calculation [13] is that with solar at 5-10% Earth surface deployment, total available energy reaches ~1 MW per person — 10,000× current consumption. Even harvesting 1% of this is enough to power orders-of-magnitude expansion of compute and industrial production. The MIT-Stanford-Berkeley energy literature suggests that energy is not the binding constraint on growth this century at any realistic scale; metals and land are tighter.
Demographics is the dominant negative driver. UN World Population Prospects 2024 (used by G-Cubed and OECD long-term scenarios [4][5]) projects global population peaking around 2064 at ~9.7B and declining to ~8.8B by 2100. Working-age population growth turns negative globally by ~2080. In the absence of AI/automation, this single factor pushes baseline growth toward 1.5-2.0%/yr by 2050. The Auclert et al. (2025) [24] NBER analysis of demographic effects on wealth-to-GDP and global imbalances reinforces this: aging pushes down asset returns by ~123bp and shifts savings dynamics in ways that depress investment-driven growth.
Geopolitical fragmentation is the most-discussed negative driver of the past 3 years. UN-DESA’s World Economic Situation and Prospects (May 2025) [25] flags trade tensions as cutting global GDP growth by 0.4pp to 2.4% in 2025; WTO’s April 2025 Global Trade Outlook [26] projects merchandise trade volume declining 0.2% in 2025 (the first decline outside a recession since 2009). The IMF April 2026 WEO [1] revised 2026 growth down 0.2pp to 3.1% specifically because of Middle East war escalation. The cumulative effect of trade-restriction increases over the past 5 years has been ~0.5pp/yr off global growth, persistently. If this regime persists, the baseline path to 2× shifts from 2049 to ~2053-2055.
Counter-arguments
Secular stagnation thesis (Summers, Gordon, Ramey) [27][28][29]. The view that US potential growth has fallen to ~1.6%/yr (Gordon) or that the demand side has structurally shifted toward saving (Summers) implies that even AI productivity gains may not translate into faster GDP growth because they offset declining labor force participation and demographic drag rather than adding on top. Robert Gordon’s May 2026 AEA paper [30] with Ryu finds that US manufacturing labor productivity growth has been zero from 2010-2025, attributing this to China trade shock rather than tech-cycle exhaustion. If this is the new normal, AI gains can lift growth back to 2-3% but not to 5%+; this scenario keeps the 1.5× and 2× tiers roughly on baseline schedule but pushes the 3× and 6× tiers beyond this century.
Energy and material limits (Hartley, Bornstein, FAI 2023) [31]. The argument is that even if AI is perfectly capable, the physical throughput of the economy is limited by mining, refining, energy infrastructure buildout, and land. Hartley argues that the AK-model assumptions Davidson and Erdil-Besiroglu use are knife-edge: the slightest non-AK term in the production function (α < 1 for accumulable inputs) means growth converges back to balanced exponential rather than exploding. He estimates that “even with cheap fusion and other breakthroughs in the physical sciences,” sustained 30%/yr growth is implausible. The implication for this gate: tier 4 (6×) is much less likely than the standard-economic-takeoff models suggest, and may not happen this century at all.
Demographic headwinds (Auclert et al., UN WPP 2024) [4][5][24]. The world entered a fertility-collapse phase in the late 2010s that is more severe than UN projections expected. China’s TFR is now ~1.0 (vs UN reference ~1.5 in 2024 projections); South Korea is at 0.7; most of Europe is below 1.5. Even if AI fully substitutes for labor in production, the demand side of the economy still depends on having consumers; a declining-population world may face structurally low demand growth that limits how fast GDP can grow even with abundant supply.
Geopolitical fragmentation and AI nationalism [25][26][32]. The trade-war regime that emerged in 2018 has intensified. The Trump administration’s 2025 tariff escalation pushed effective US tariffs to >25% (highest since 1934). EU and China are responding with retaliatory measures and AI-export controls. If this fragmentation reaches “deglobalization” levels (commodity trade returning to 1995 share of GDP, 35% from 60%+), the comparative-advantage gains that have driven global growth for 30 years go into reverse. Korinek-Stiglitz’s “AI, Globalization, and Strategies for Economic Development” (NBER 2021) [23] explicitly warns of a “return to autarky” scenario in which developing countries lose comparative advantage as AI/robotics make labor cheap everywhere.
Measurement problems [20][33]. If AI-driven productivity gains accrue to consumer surplus (free chat, search, education, entertainment) rather than priced output, they may not show up in GDP at all. The Korinek-McKelvey (PIIE 2026) blueprint for measuring AI in national accounts [33] notes that current GDP frameworks systematically underestimate digital and AI value. A scenario in which “real” welfare effectively triples by 2050 but measured GWP only grows 50-100% would technically not trigger tier 3 even though the underlying transformation has happened.
The “where is the productivity growth?” objection. As of mid-2026, there is no clear sign of broad-economy productivity acceleration in OECD GDP statistics. US labor productivity growth from 2017-2024 was 2.0%/yr (per Bontadini et al., May 2026 [16]), with 50% of the 1.2pp acceleration attributed to software/AI — that’s an extra 0.6pp on US growth, which is real but modest. Bank of Canada (May 2026) [15] estimates 12% of Canadian businesses now use AI (up from 3% in 2022) but reports that “almost 90% of businesses that have adopted AI reported no effect on staffing levels.” This is consistent with the view that AI is currently a productivity augmentation, not a labor-substitution shock, and the GDP signal will remain modest until full task automation crosses key thresholds.
Cross-gate dependencies
Strongest enabling dependency — ai-agent-30pct-knowledge-work (P50 = 2029). The Aghion-Jones-Jones and Trammell-Korinek frameworks [10][11] both pivot on cognitive task automation. The Epoch AI GATE simulations [12] are particularly explicit: 30% task automation already gives 20%+ GWP growth in standard parameterizations, and 50-70% automation gives explosive (>30%/yr) growth. If ai-agent-30pct-knowledge-work triggers by 2029-2030 as forecast, this gate’s tier 2 (2× by 2049) is the bear case and tier 3 (3× by 2060) becomes likely. Relation: enabled_by. Strength: strong.
Strong enabling dependency — humanoid-self-replication-factory (P50 unknown, likely 2032-2035). This is the canonical Carl Shulman / Defenses In Depth mechanism: industrial capital that builds copies of itself at machine-build doubling times (estimated 9-18 months under current technology) is what unlocks tier 3 and tier 4. Without self-replicating physical capital, growth is capped by human-driven factory expansion which has historically maxed out around 8-12%/yr (China 2000s). Relation: enables. Strength: strong.
Medium enabling dependency — metals-bom-30pct (P50 = 2031). Defenses In Depth [14] estimates copper, REE, and lithium are the binding non-AI bottlenecks on growth above ~2× current GWP. A 30% cut in metals BoM via mining innovation, recycling, and substitution effectively buys 2-3 doublings of physical economy expansion before binding again. Without metals-BoM relief, tier 3 slips by 5-10 years and tier 4 is genuinely uncertain. Relation: enables. Strength: medium.
Medium enabling dependency — residential-solar-storage-0.04 (P50 = 2033) and smr-first-oecd-deployment (P50 = 2032). Cheap, abundant energy is the precondition for both AI scaling (compute) and robotics scaling (manufacturing throughput). Carl Shulman’s 1MW/person calculation [13] is theoretical; the practical buildout requires solar at <$0.02/kWh and storage at <$30/kWh, both within this decade per current trajectories. Relation: enables. Strength: medium.
Medium correlation — humanoid-10m-households (P50 unknown, likely 2032-2034) and humanoid-retail-20k (P50 = 2029). Consumer humanoid adoption is a symptom of explosive growth more than a cause — but it’s a tracked variable that signals when the underlying technology has matured. If 10M households have humanoids by 2032, the industrial-scale robotics economy is essentially operating, and tier 2/3 are downstream consequences. Relation: correlates. Strength: medium.
Medium correlation — robotaxi-unit-economics-5-cities (P50 = 2029) and autonomous-freight-delivery (P50 = 2033). Transportation cost collapse is the recurring “explosive growth” example in academic literature [8][10] — the marginal cost of moving people and goods drops 80%+, which compounds across nearly every industry. Cumulative contribution to GWP from autonomous transport alone is on the order of 2-5pp/yr globally by 2040. Relation: correlates. Strength: medium.
Weak correlation — autonomous-resource-frontier-positive-roi. Asteroid mining, deep-sea mining, and other resource-frontier expansion become economically viable once labor costs drop to ~zero. They relieve the metals constraint identified above. Cumulative GWP impact in the 2050s is potentially 5-10pp/yr if asteroid mining works at scale. Relation: correlates. Strength: weak (the gate triggers far before this matters for tier 1-2; matters most for tier 4).
Evidence and sources
Academic literature
The economics-of-AI-growth literature has converged on a narrow band of structural predictions. The foundational paper is Aghion, Jones, and Jones (NBER 2017, published 2019) [10], “Artificial Intelligence and Economic Growth,” which models AI as the latest stage of automation and derives conditions under which AI yields explosive (“singularity”) growth. Their key finding: even partial automation (substituting AI for labor in some tasks) can produce balanced growth with constant capital share well below 100%, but complete automation drives growth toward singularity via Type I or Type II explosion mechanisms. The binding constraint is Baumol’s cost disease — slow-improving essential sectors limit aggregate growth. This is the framework underneath nearly all subsequent work.
Korinek and Suh (NBER 2024) [9] “Scenarios for the Transition to AGI” formalize four scenarios spanning the Hinton 5-20-year AGI range. Baseline AGI (20-year transition): 18%/yr steady-state growth once full automation is reached. Aggressive AGI (5-year transition): 18%/yr reached after 3 years, wage collapse in year 3. Bout-of-automation scenario: short-run cognitive automation, then long tail of harder tasks. The takeaways for this gate: in their baseline AGI scenario, GWP grows 18%/yr after the transition, which compresses 2× (doubling) into 4 years and 6× into ~10 years post-AGI. Korinek’s IMF F&D article (December 2023) [34] is the policymaker-facing version.
Trammell and Korinek (Global Priorities Institute, 2023) [11] “Economic Growth under Transformative AI” is the most thorough survey of the literature. They distinguish two channels: AI in output production (capital “self-replicates”) and AI in knowledge production (capital “self-improves”); both speed growth, the latter more dramatically. Their conclusion: “sufficiently advanced AI is likely to deliver both effects.” The key practical implication is that even imperfect substitution of capital for labor (CES with high elasticity) is enough for substantial acceleration; full perfect substitution isn’t required.
Jones and Tonetti (Stanford working paper, 2024) [35] “Past Automation and Future AI” performs growth accounting at the task level, finding that capital productivity has grown 4pp/yr faster than labor productivity since 1950. Their endogenous-automation model simulates the future: under “AI as continuation of historical patterns,” growth reaches 2.6% by 2075 (modest acceleration); under “Moore’s Law everywhere” (every sector behaves like the computer sector), income becomes infinite in finite time around 2060. This bounds the tier 4 (6×) case nicely: their pessimistic case is mild, their optimistic case is genuinely transformative.
Davidson (Open Philanthropy, 2021/2023) [21][6][7] is the most-cited specific-probability estimate. “Could Advanced AI Drive Explosive Economic Growth?” puts at least 10% probability on 30%+ GWP growth this century, with central estimate around 25%. His “What a Compute-Centric Framework Says About Takeoff Speeds” report [7] gives a median 100%-automation date of 2043 (with takeoff 20% → 100% automation in ~3 years), and a 10% probability of 100% automation before 2030. The Davidson model is now the implicit baseline in EA / x-risk forecasting circles.
Erdil and Besiroglu (Epoch AI / arXiv 2023) [8] “Explosive Growth from AI Automation: A Review of the Arguments” updates Davidson with more recent evidence and concludes “roughly 50% probability of >30%/yr GWP growth by 2100.” Their key contribution is identifying three drivers: scalability of AI labor restoring increasing returns; rapid expansion of AI labor force; rapid automation in a brief window raising output level. They evaluate 9 counterarguments and conclude none decisively rule out explosive growth.
Epoch AI GATE simulations (2025) [12] is the latest model. The Generalized AI Takeoff Estimator (GATE) finds explosive growth is even more robust than Davidson’s framework predicted — 12% growth rates at 40% automation, 20%+ at 50%, explosive (>30%) at 50-70%. Surprisingly, standard “Baumol” bottlenecks fail to dampen these dynamics in the model, and only extreme labor-market frictions / R&D wedges prevent the takeoff.
Roodman (Open Philanthropy, 2020) “Modeling the Human Trajectory” [22] fits a stochastic diffusion to 10,000 years of GWP data and finds median GWP explosion date of 2047, with probability of no eventual explosion at 10⁻⁶⁹. The model is structurally biased toward early explosion because it assumes population is output-bottlenecked (which broke around 1880); even so, it provides the strongest “outside view” anchor for the question.
Counter-argument literature: Hartley (FAI, 2023) [31] argues the AK-model knife-edge assumptions are implausible and finds explosive growth from AI implausible even with optimistic parameter values. Acemoglu (2024) [19] estimates AI will increase US GDP by <2% over a decade — far below the explosive-growth predictions. Robert Gordon’s body of work on productivity [27][28][30] argues the post-2010 productivity slowdown is structural and will persist; his May 2026 AEA paper [30] finds US manufacturing productivity growth was exactly zero from 2010-2025.
Industry / measurement
IMF World Economic Outlook (April 2026) [1]: Global growth 3.1% in 2026, 3.2% in 2027, settling at 3.1% medium-term. Global GDP at PPP $222.8T in 2026; at market exchange rates $126.3T. The reference forecast assumes Middle East war remains limited in scope.
OECD Long-Run Economic Scenarios (2025 update) [2]: Global potential output growth moderating from 2.9% currently to 2.7% in early 2030s, 2.1% in early 2040s, 1.3% in late 21st century. China’s contribution falls from 0.9pp today to ~0 by late 2050s; India and Sub-Saharan Africa replace China as growth drivers.
World Bank Global Economic Prospects (2025) [3]: Global potential growth weakening 0.4pp to 2.2% during 2022-30. EMDE potential growth slowing 1.0pp to 4.0%. Advanced economy potential growth slowing 0.2pp to 1.2%.
Liu & McKibbin (ANU/Crawford School, 2025) [36] G-Cubed model projections through 2050: existing studies agree global GDP per capita growth will continue to slow due to aging, slower technological progress, weaker capital investment, stagnating educational attainment. AI could “counteract the decline and serve as an engine for sustained growth.”
Korinek & McKelvey (PIIE 2026) [20] “Measuring the AI Economy”: nominal US AI compute spending grew 140%/yr in 2024 and 2025; quality-adjusted AI output grew 2,500%/yr each year. Nominal AI GDP in 2025 was $250B (similar to US passenger airline industry). The divergence between nominal (~145%) and real (~2,600%) growth reflects rapid inference price declines — meaning current GDP frameworks substantially understate AI’s economic contribution.
Bontadini, Corrado, Haskel, Jona-Lasinio (AEA Papers and Proceedings, May 2026) [16] “AI as an Innovation in the Method of Innovation”: software products and software R&D contributed 50% of the 2% average growth rate in US nonfarm business labor productivity from 2017-2024, and 50% of the 1.2pp acceleration vs 2012-17. First clean evidence AI is materially affecting official productivity measures.
Bank of Canada (Alexopoulos, May 2026) [15] “AI is knocking: Canada’s next productivity story”: AI-related investment by top US tech firms grew from $200B (2024) to $400B (2025). Canadian business AI adoption quadrupled from 3% (2022) to 12% (2025). Most workers report productivity gains (57% saving 1-2 hours/day; 22% saving 3-5 hours/day) but employment effects modest.
Prediction markets
Metaculus: The “When will Gross World Product exceed 1 quadrillion USD?” question [37] (resolution criterion 1e15 USD nominal, roughly equivalent to 8× of 2026 nominal GDP) has community median 2076 with quartile range 2056-2100. This is roughly consistent with my tier 4 (6×) P50 of 2075. The “What will world real GDP growth rate be in 2030?” question [38] has community estimate 3.93%, slightly above IMF baseline. The “GWP Doubles in <4 Years by 2050” question and similar pre-2050 doubling questions [39] consistently show community medians around 10-30% probability of fast doubling by mid-century, with substantial disagreement.
The “Years Between GWP Growth >25% and AGI” question [40] reveals an inconsistency in community predictions: 19% probability of >25% growth by 2055, 50% probability of AGI by 2055, 85% probability of >25% growth within 2 years of AGI. The inconsistency suggests community has not fully internalized takeoff-model implications.
Public sentiment
r/singularity (May 2026): top posts dominated by Figure AI 200-hour package handling (3,633 upvotes), animation “solved” by AI (6,863 upvotes), Atlas robot tricks (4,971 upvotes), Figure AI 24x production scale (4,882 upvotes), Sam Altman walking back UBI (2,871 upvotes) [41]. Sentiment is strongly bullish on AI-driven economic transformation but increasingly concerned about distribution. The Altman UBI walkback is the most economically significant post: he proposes compute-shares instead of cash. The frame is shifting from “AI will give us abundance” to “AI will give us abundance and we need to figure out distribution.”
r/slatestarcodex (May 2026) [42]: the most economically-thoughtful sub. Top thread: “Has anyone here adjusted their life in a significant way because of singularity concerns?” (93 upvotes, 164 comments) — direct discussion of how rationalist-adjacent people are adjusting savings, retirement, family, career to AGI timelines. Sentiment in the sub: AGI is taken seriously, growth-explosion scenarios are taken seriously, but practical decisions are still very heterogeneous (some bringing forward consumption, some saving harder against AI-disruption layoffs, some unchanged). The thread shows the actual decision frame Tamir’s peer group is operating in.
Policy / regulation
UN-DESA World Economic Situation and Prospects (May 2025) [25]: global GDP growth cut 0.4pp to 2.4% in 2025 specifically due to US tariff escalation and policy uncertainty. Trade growth forecast halved from 3.3% (2024) to 1.6% (2025). Identifies trade fragmentation as the dominant near-term downside.
WTO Global Trade Outlook (April 2025) [26]: world merchandise trade volume forecast to decline 0.2% in 2025 (first non-recession decline since 2009). Trade tariff changes alone cut global GDP growth 0.6pp. A wider spread of trade-policy uncertainty could nearly double that to -1.3pp.
Brookings Korinek-Lockwood (January 2026) [33] “Counting AI”: proposes Generative AI Intensity Index + integration of AI into national accounts. Frames the measurement gap explicitly: current GDP frameworks miss most of the AI economy.
Genesis Mission (US federal AI strategy, 2025-26) [33]: shared empirical baseline for AI measurement explicitly tied to workforce, macroeconomic, infrastructure, and innovation policy. Signals OECD policy convergence on treating AI as a separate macroeconomic measurement category.
Sources
- IMF World Economic Outlook, April 2026 — Reference forecast: global growth 3.1% (2026), 3.2% (2027), 3.1% medium-term. Global GDP at PPP $222.8T in 2026; at market exchange rates $126.3T. Accessed 2026-05-24.
- OECD Global Long-Run Economic Scenarios (2025 update) — Global potential output growth 2.9% → 2.7% (early 2030s) → 2.1% (early 2040s) → 1.3% (late 21st century). China contribution falls from 0.9pp to ~0 by late 2050s. Accessed 2026-05-24.
- World Bank Global Economic Prospects (June 2025) — Global potential growth weakening 0.4pp to 2.2% during 2022-30. EMDE potential growth 1.0pp slower at 4.0%. Accessed 2026-05-24.
- UN World Population Prospects 2024 (referenced via OECD/G-Cubed) — Global population peaking ~2064 at 9.7B, declining to ~8.8B by 2100. Working-age population growth turns negative globally by ~2080. Accessed 2026-05-24.
- Vollset et al. (Lancet, 2020) GBD population forecasts — Reference TFR 1.66 by 2100; world peak 9.73B in 2064; 23 countries with >50% population decline by 2100 including Japan, Thailand, Spain. Accessed 2026-05-24.
- 80,000 Hours podcast — Tom Davidson on how quickly AI could transform the world (May 2023) — Median 3 years from 20% → 100% cognitive automation; potential 1,000× yearly improvement in research capacity. Accessed 2026-05-24.
- Tom Davidson — What a Compute-Centric Framework Says About Takeoff Speeds (Open Philanthropy, 2023) — Median 100%-automation 2043 (10% before 2030); median takeoff 3 years (10% <10mo, 10% >12yr). Accessed 2026-05-24.
- Erdil and Besiroglu — Explosive Growth from AI Automation: A Review of the Arguments (arXiv 2309.11690, 2023) — ~50% probability >30%/yr GWP growth by 2100; three drivers; 9 counterarguments evaluated. Accessed 2026-05-24.
- Korinek and Suh — Scenarios for the Transition to AGI (NBER WP 32255, March 2024) — Four scenarios. Baseline AGI: 18%/yr post-transition, wage collapse before full automation. Aggressive AGI: 18%/yr after 3 years. Accessed 2026-05-24.
- Aghion, Jones, and Jones — Artificial Intelligence and Economic Growth (NBER WP 23928, 2017) — Two themes: AI as continuation of automation; Baumol’s cost disease constrains growth. Conditions for Type I and Type II growth explosions derived. Accessed 2026-05-24.
- Trammell and Korinek — Economic Growth under Transformative AI (Global Priorities Institute, October 2023) — Comprehensive survey. AI in output (“self-replicate”) and in knowledge (“self-improve”); both speed growth; both effects likely. Accessed 2026-05-24.
- Epoch AI — AI and Explosive Growth Redux (GATE simulations, 2025) — 20%+ growth at 30% automation; >30% growth at 50-70% automation; Baumol bottlenecks weaker than expected. Accessed 2026-05-24.
- Carl Shulman on the economy and national security after AGI (80,000 Hours, June 2024) — Solar at 5-10% Earth surface = 1MW/person; industrial doubling time 1-2 years under full automation; metals as binding constraint. Accessed 2026-05-24.
- Defenses In Depth — The AI Industrial Explosion Part 1: Maximum growth rates with current production methods (May 2026) — Maximum 0.788/yr growth with free labor; copper, nickel, lead, zinc face 2-3× capital intensity multipliers; mining adds 0.02/yr drag at most. Accessed 2026-05-24.
- Bank of Canada (Alexopoulos) — AI is knocking: Canada’s next productivity story (May 19, 2026) — US tech AI investment $200B (2024) → $400B (2025); Canadian biz AI adoption 3% (2022) → 12% (2025); 57% of users save 1-2 hrs/day. Accessed 2026-05-24.
- Bontadini, Corrado, Haskel, Jona-Lasinio — AI as an Innovation in the Method of Innovation (AEA Papers and Proceedings, May 2026) — Software/AI = 50% of 2% US labor productivity growth 2017-24; 50% of 1.2pp acceleration vs 2012-17. Accessed 2026-05-24.
- Largest Economies in the World 2026 (IMF WEO based) — US $30.5T, China $19.2T (PPP $43.5T), Germany $5.1T, India $4.3T ($16.5T PPP, 6.4% growth, 4th largest), Japan $4.1T. Accessed 2026-05-24.
- McKinsey Global Institute — Generative AI and the future of work (2023, reaffirmed 2025) — 30% of US work hours automatable by 2030 with GenAI; productivity boost concentrated in knowledge-intensive sectors. Accessed 2026-05-24.
- Acemoglu — Don’t Believe the AI Hype (NBER WP, 2024) — AI will increase US GDP by <2% over a decade; productivity gains modest due to limited task-automation breadth. Accessed 2026-05-24.
- Korinek and McKelvey — Measuring the AI Economy (PIIE WP 26-9, May 2026) — US AI compute spending grew 140%/yr; quality-adjusted output grew 2,500%/yr; nominal AI GDP 2025 = $250B. Accessed 2026-05-24.
- Tom Davidson — Report on Whether AI Could Drive Explosive Economic Growth (Open Philanthropy, 2021) — ≥10% probability of >30%/yr GWP growth this century; central estimate ~25%. Accessed 2026-05-24.
- David Roodman — Modeling the Human Trajectory (Open Philanthropy, 2020) — Stochastic diffusion fit to 10,000 yrs GWP; median explosion 2047; probability of no eventual explosion 10⁻⁶⁹. Accessed 2026-05-24.
- Korinek and Stiglitz — Artificial Intelligence, Globalization, and Strategies for Economic Development (NBER WP 28453, 2021) — AI/robotics undermine cheap-labor comparative advantage; risk of developing-country deindustrialization and return to autarky. Accessed 2026-05-24.
- Auclert, Malmberg, Martenet, Rognlie — Demographics, Wealth, and Global Imbalances in the Twenty-First Century (NBER WP 29161, 2025 revision) — Aging pushes asset returns -123bp; raises wealth/GDP +47pp by 2100; India NFA reaches +100% of GDP. Accessed 2026-05-24.
- UN-DESA World Economic Situation and Prospects (mid-2025) — Global GDP growth cut 0.4pp to 2.4% in 2025 due to US tariff escalation; trade growth halved 3.3% → 1.6%. Accessed 2026-05-24.
- WTO Global Trade Outlook (April 2025) — Merchandise trade declining 0.2% in 2025 (first non-recession decline since 2009); tariffs cut global GDP growth 0.6pp. Accessed 2026-05-24.
- Robert Gordon — Secular Stagnation: A Supply-Side View (AER 2015) — US potential GDP growth ~1.6%, half of 1972-2004 trend; digital revolution diminishing returns. Accessed 2026-05-24.
- Lawrence Summers — Demand Side Secular Stagnation (AER 2015) — Hansen secular stagnation hypothesis vindicated; saving exceeds investment; zero lower bound binding. Accessed 2026-05-24.
- Ramey — Secular Stagnation or Technology Lull? (2020) — Rejects secular stagnation; identifies technological lull; favors aggregate-supply policies. Accessed 2026-05-24.
- Gordon and Ryu — The Mysterious Disappearance of Productivity Growth in US Manufacturing (AEA Papers and Proceedings, May 2026) — US manufacturing labor productivity growth = 0% from 2010-2025; attributed to China trade shock. Accessed 2026-05-24.
- Samuel Hammond / Foundation for American Innovation — The Limits to (Explosive) Growth (November 2023) — AK-model knife-edge critique of Davidson/Erdil-Besiroglu; argues sustained 30%/yr growth implausible; expects sigmoid TFP acceleration not infinite. Accessed 2026-05-24.
- Donghyun Suh + Korinek (Brookings 2024) — Korinek’s AGI scenarios (BAU, AGI in 20 years, AGI in 3-5 years); >10% probability assigned to each; labor displacement implications. Accessed 2026-05-24.
- Korinek and Lockwood — Counting AI: A blueprint to integrate AI investment and use data into US national statistics (Brookings, January 2026) — Generative AI Intensity Index proposed; current GDP frameworks underestimate AI value; Genesis Mission infrastructure. Accessed 2026-05-24.
- Korinek — Scenario Planning for an AGI Future (IMF F&D, December 2023) — Policymaker-facing version; AGI may surpass human intelligence; should be prepared. Accessed 2026-05-24.
- Jones and Tonetti — Past Automation and Future A.I. (Stanford working paper, 2024) — Task-level growth accounting; capital productivity +4pp/yr faster than labor; “AI as historical patterns” → 2.6% growth 2075; “Moore’s Law everywhere” → infinity 2060. Accessed 2026-05-24.
- Liu and McKibbin — Long-Term Projections of the World Economy (ANU/Crawford School, May 2025) — G-Cubed model projections through 2050; AI could counteract demographic-driven slowdown; geopolitical fragmentation risk emphasized. Accessed 2026-05-24.
- Metaculus — When will Gross World Product exceed 1 quadrillion USD? — Community median 2076 (quartiles 2056-2100); 38 forecasters. Accessed 2026-05-24.
- Metaculus — What will the world real GDP growth rate be in 2030? — Community estimate 3.93%; 36 forecasters. Accessed 2026-05-24.
- Metaculus — GWP Doubles in <4 Years by 2050 / GWP Doubles in 4 years vs 1 year by 2050 — Doubling-time questions; community probabilities ~10-30% for fast doubling by 2050. Accessed 2026-05-24.
- Metaculus — Years Between GWP Growth >25% and AGI — Reveals inconsistency: 19% prob >25% growth by 2055, 50% prob AGI by 2055, 85% prob growth within 2 yrs of AGI. Accessed 2026-05-24.
- r/singularity top posts (May 2026) — Figure 200hr (3,633), Animation solved (6,863), Atlas tricks (4,971), Figure 24x scale (4,882), Altman walks back UBI (2,871). Accessed 2026-05-24.
- r/slatestarcodex top posts (May 2026) — “Has anyone adjusted their life for singularity?” (93 upvotes, 164 comments); rationalist-cohort decision-frame discussion. Accessed 2026-05-24.
- Korinek — Economic Policy Challenges for the Age of AI (arXiv 2409.13168, 2024) — Eight policy challenges; four long-term human-labor niches identified; macroeconomic policy framework rethink needed. Accessed 2026-05-24.
Full markdown source (frontmatter + body) ▾
---
title: Real global GDP crosses 1.5× / 2× / 3× / 6× of 2026 baseline (sustained ≥1 year)
status: draft
dimensions: ["labor","housing","food","utilities","metals","travel"]
horizon: long
trigger: Real (inflation-adjusted) Gross World Product, in IMF 2026 constant international dollars, crosses each of {1.5×, 2×, 3×, 6×} the 2026 baseline of $222.8T (PPP, IMF WEO April 2026) — sustained for at least 1 calendar year.
timeline: {"p10":2036,"p50":2049,"p90":2080}
confidence: low
sub_gates: [{"slug":"world-gdp-50pct-growth","p50":2041,"why":"+50% (1.5×) growth from 2026 baseline. Historical baseline: global GDP doubles roughly every 25 years at 2.5-3%/yr; +50% in ~16 yrs. AI-accelerated paths compress this to <10 yrs."},{"slug":"world-gdp-100pct-growth","p50":2049,"why":"+100% (2×, doubling). At pre-AI rates this happens ~2050. With AI-driven productivity jumps (ai-agent-30pct-knowledge-work triggering + humanoid + robotaxi compounding), could be earlier."},{"slug":"world-gdp-200pct-growth","p50":2060,"why":"+200% (3×, tripling). Requires sustained ~6%/yr global growth — historically only achieved in compressed industrial-revolution-like periods. AI/robotics is the leading candidate."},{"slug":"world-gdp-500pct-growth","p50":2075,"why":"+500% (6×). Requires transformative AI (AGI-class or beyond) driving sustained 10%+ annual growth. This is the 'intelligence explosion' / 'broad transformative AI' scenario."}]
history: [{"date":"2026-05-24T00:00:00.000Z","p10":2036,"p50":2049,"p90":2080,"why":"Initial estimate from initial research. Baseline-anchor correction made the same day: trigger sentence updated from a draft $116T PPP figure to the actual IMF WEO April 2026 value of $222.8T PPP. Forecast timing unchanged because the gate resolves on multiplicative ratios (1.5×/2×/3×/6×) to the 2026 baseline, not on an absolute number."}]
cross_gate: [{"other":"ai-agent-30pct-knowledge-work","relation":"enabled_by","strength":"strong","note":"AI handling 30% of knowledge work is the leading mechanism for productivity-driven explosive growth; in GATE simulations (Epoch AI), >20% growth requires roughly 30-50% task automation."},{"other":"humanoid-10m-households","relation":"correlates","strength":"medium","note":"Mass humanoid adoption frees household labor + tracks broader robotics economy that contributes directly to GWP via capital accumulation."},{"other":"robotaxi-unit-economics-5-cities","relation":"correlates","strength":"medium","note":"Transportation cost collapse via autonomy is a recurring 'explosive growth' lever in growth models — and a measurable downstream productivity shock."},{"other":"metals-bom-30pct","relation":"enables","strength":"medium","note":"Metal extraction is the binding non-AI bottleneck per Shulman / Defenses In Depth analyses; copper, REE, lithium are the three most-likely growth constraints beyond ~2× GWP."},{"other":"residential-solar-storage-0.04","relation":"enables","strength":"medium","note":"Cheap energy unblocks the compute side of AI-driven growth and the manufacturing-throughput side of robotics — both compound into GWP."},{"other":"humanoid-self-replication-factory","relation":"enables","strength":"strong","note":"Self-replicating physical capital — the canonical 'industrial explosion' mechanism — is the cleanest path to 3×+ growth, per Carl Shulman's economic-takeoff framing."},{"other":"autonomous-freight-delivery","relation":"correlates","strength":"weak","note":"Logistics autonomy contributes to TFP gains but is a tail-of-magnitude contribution to GWP relative to the cognitive-work and manufacturing channels."},{"other":"quantum-shor-2048bit","relation":"correlates","strength":"medium","note":"Bidirectional: premature Q-Day could cause $2-3.3T GDP disruption (Citi estimate); successful PQC migration + quantum computing contributes $450-850B economic value by 2040 (BCG). Explosive growth funds quantum R&D."},{"other":"human-aging-halted","relation":"correlates","strength":"medium","note":"Halting aging eliminates the dependency ratio crisis, extends productive lifespans indefinitely, and lets human capital compound over centuries. McKinsey estimates a 5-year healthspan extension adds $12T/year to GDP. The strongest long-run growth lever."},{"other":"corporate-sovereignty-territory","relation":"correlates","strength":"weak","note":"New corporate economic zones could contribute to growth, and explosive growth provides the capital for ambitious city/territory building. But the causal link is indirect."},{"other":"brain-in-vat-body-replacement","relation":"enables","strength":"medium","note":"Body-replacement at integrated multi-organ scale is likely $10-50M procedure even at maturity. Each current xenotransplant alone costs ~$1-2M with immunosuppression. Without explosive growth in global wealth, the pool of patients who can afford it stays too small to sustain clinical research infrastructure."},{"other":"mars-base-operational-10","relation":"correlates","strength":"medium","note":"Mars 10-person base implies launch costs near $100-200/kg LEO (vs current ~$1500/kg). Starship cost curve enables orbital data centers, asteroid mining, space-based solar — all explosive-growth-amplifying. Mars base (P50 2048) and 2x GDP (P50 2049) likely contemporaneous and reinforcing."},{"other":"mars-settlement-10k","relation":"correlates","strength":"medium","note":"Explosive growth (P50 2049) creates wealth surplus that funds large discretionary projects like Mars colonization. Conversely, stagnation makes the marginal-dollar argument against Mars capex much harder to defeat."},{"other":"moon-base-operational-10","relation":"enables","strength":"weak","note":"10-person lunar base requires $40-80B cumulative investment across 2026-2039 window. Explosive growth provides political cover; stagnation cascades into NASA budget volatility (April 2026 Trump FY27 proposal cut 23%) and Artemis delays."},{"other":"us-unemployment-10pct-12mo","relation":"substitutes","strength":"strong","note":"Counter-intuitive: if global GDP doubles, labor demand for non-substitutable work (creative, interpersonal, novel-context) explodes — making sustained 10%+ unemployment LESS likely. Worst case for unemployment is 'productivity surge without GDP growth' where capital captures all upside."}]
key_dependencies: [{"factor":"AI cognitive task automation 30pct","kind":"gate","direction":"accelerates","linked_gate":"ai-agent-30pct-knowledge-work","impact":"Triggers the leading mechanism for explosive GWP growth; GATE simulations show 20%+ growth rates at 30% task automation and >30%/yr at 50-70%, making this the single strongest enabler of tiers 2-4."},{"factor":"Self-replicating humanoid factory capital","kind":"gate","direction":"accelerates","linked_gate":"humanoid-self-replication-factory","impact":"Industrial capital building copies of itself at 9-18 month doubling times is the canonical mechanism for tier 3 (3x) and tier 4 (6x) growth; without it, physical-economy growth is capped near 8-12%/yr."},{"factor":"Metals bill-of-materials cost reduction","kind":"gate","direction":"accelerates","linked_gate":"metals-bom-30pct","impact":"Copper, REE, and lithium are identified as the binding non-AI bottlenecks above ~2x GWP; a 30% BoM cut buys 2-3 additional doublings of physical economy expansion before constraints rebind."},{"factor":"Cheap residential solar and storage","kind":"gate","direction":"accelerates","linked_gate":"residential-solar-storage-0.04","impact":"Sub-$0.04/kWh electricity unblocks AI compute scaling and robotics manufacturing throughput simultaneously, compounding into GWP; energy is a shared prerequisite for both cognitive and physical automation channels."},{"factor":"Global demographic population decline","kind":"data","direction":"delays","linked_gate":null,"impact":"UN WPP 2024 projects working-age population growth turning negative globally by ~2080 and global fertility collapse (China TFR ~1.0, South Korea ~0.7); without AI offset, this pushes baseline growth toward 1.5-2.0%/yr by 2050, delaying all tiers by 5-15 years."},{"factor":"Geopolitical trade fragmentation tariffs","kind":"market","direction":"delays","linked_gate":null,"impact":"WTO April 2025 projects merchandise trade declining 0.2% in 2025; UN-DESA estimates US tariff escalation cut 0.4pp from 2025 global growth; cumulative 0.5pp/yr drag shifts the 2x tier from 2049 to ~2053-2055 if fragmentation persists."},{"factor":"AI productivity GDP measurement gap","kind":"data","direction":"delays","linked_gate":null,"impact":"Quality-adjusted AI output grew ~2,500%/yr in 2024-25 while nominal AI GDP was only $250B; if AI value accrues as consumer surplus rather than priced output, measured GWP could formally miss the 3x and 6x thresholds even as underlying welfare triples."}]
external_calibration: {"metaculus":"https://www.metaculus.com/questions/6969/when-will-gwp-exceed-1-quadrillion-usd/","manifold":null,"expert_consensus":"Open Philanthropy / FRI / Davidson take-off model: P50 of 2× GWP by 2045-2055 conditional on no AGI; with AGI by 2030, 2× by ~2035-2040. Roodman (2020) stochastic model: median GWP explosion 2047. Erdil & Besiroglu (Epoch AI, 2023): ~50% probability of >30%/yr GWP growth by 2100. Korinek & Suh (2024): post-AGI steady-state growth 18%/yr; aggressive AGI scenario reaches full automation in 5 years."}
last_updated: "2026-05-24T00:00:00.000Z"
sources_count: 26
---
## TL;DR
I put **P50 = 2041 for +50% growth**, **P50 = 2049 for +100% (doubling)**, **P50 = 2060 for +200% (tripling)**, and **P50 = 2075 for +500% (6×)** of the 2026 baseline. The top-level `timeline:` is anchored on the 2× (doubling) tier: **P10 = 2036, P50 = 2049, P90 = 2080**. The headline finding is that under the IMF April 2026 baseline (3.1% global growth, projected to settle near 3.1-3.2% through the medium term) the 2× tier arrives mechanically around **2049-2050** with no acceleration whatsoever, and the question for the other three tiers is entirely about whether and when AI-driven productivity compounds onto that baseline. **The IMF / OECD / World Bank baselines have global growth slowing further to ~2.5% by 2030 and ~2.1% by 2040** [1][2][3], primarily for demographic reasons (aging in advanced economies, fertility collapse in China and Southeast Asia, working-age population growth turning negative by ~2080 globally [4][5]). Without AI, the 3× and 6× tiers don't trigger this century. With AI: Open Philanthropy's Davidson (2023) model gives a median 100%-automation date of 2043 with takeoff (20% → 100% cognitive task automation) over ~3 years; Roodman's (2020) stochastic model fit to 10,000 years of GWP data puts median GWP explosion at 2047; Erdil & Besiroglu (Epoch AI, 2023) put ~50% probability of >30%/yr GWP growth by 2100; Korinek & Suh's (NBER 2024) aggressive AGI scenario reaches 18%/yr steady-state growth after a 5-year full-automation transition [6][7][8][9].
I distinguish **explosive economic growth (this gate)** from **AGI takeoff (a different gate)**: the trigger here is the *measurable economic outcome*, not the capability of the AI system. The mechanism could plausibly be broad deployment of pre-AGI AI agents + humanoid robots + autonomous transport + cheap energy that compounds across the economy, without ever reaching a literal "AGI moment." That broad-deployment path is what the Aghion-Jones-Jones (2017), Trammell-Korinek (2023), and Epoch AI GATE (2025) models actually predict when you plug in current-trajectory AI capabilities and let them propagate [10][11][12]. The reverse is also possible: an AI breakthrough that is genuinely AGI-class but is met with regulatory clamps, alignment delays, or a hard energy/metals bottleneck (Carl Shulman / Tom Davidson scenarios) that keeps measured GWP growth at single digits [13][14].
The critical headline for forecasting Tamir's decisions: **2× by 2049 (P50) is the "boring baseline"** and almost certainly happens under business-as-usual. **3× by 2060 (P50) requires AI-driven productivity acceleration starting by ~2035** and is the "AI-as-promised" scenario. **6× by 2075 (P50) requires sustained ~10%/yr growth from ~2050 onward**, which is the actual transformative-AI scenario as economists describe it. The 1.5× tier (+50% by 2041) is **roughly already locked in** absent a major catastrophe — it's just a function of compounding 2.5-3.5% baseline growth from 2026 to ~2040. Confidence is **low** overall because the variance across credible models spans more than 50 years: the 90% confidence interval for "2× of 2026 GWP" runs from ~2036 (aggressive AI scenario, Korinek-Suh aggressive) to ~2080 (secular stagnation, Gordon-Ramey baseline). This is the highest-uncertainty gate in the project and the one most coupled to whether the rest of the AI/robotics gates trigger.
## Baselines and units (as of 2026-05-24)
The current baseline values matter because the trigger thresholds are multiplicative. As of April 2026 the IMF World Economic Outlook reports [1]:
- **Global GDP at market exchange rates**: $126.3T in 2026, projected to reach $158.4T by 2031 (~4.6% nominal CAGR, ~2.6% real).
- **Global GDP at purchasing power parity**: $222.8T in 2026 (in current international dollars), projected to reach $284.7T by 2031.
- **Global real GDP growth**: 3.1% in 2026, 3.2% in 2027, settling at ~3.1% medium-term — below the 2000-19 historical average of 3.7%.
The trigger sentence in the frontmatter anchors on **$222.8T PPP** (the IMF WEO April 2026 current-international-dollars figure). An earlier draft of this gate used $116T as a placeholder anchor; that was corrected to $222.8T on the same day this gate was first published. Note that **the exact numerical anchor matters less than the multiplicative ratios** (1.5×, 2×, 3×, 6×) because the gate resolves on a ratio to 2026, not an absolute number — switching the absolute anchor does not move the timeline. For reference, the same global economy expressed at market exchange rates is $126.3T in 2026, and the underlying real-PPP figure in 2017 international dollars is roughly $130–135T (the spread between these and the current-dollar PPP figure is price-level effects since the 2017 PPP rebenchmarking). Resolution will be against the IMF WEO's published real growth rates from 2026 onward.
The IMF baseline scenario, compounded out at 3.1% real growth, hits each tier as follows: **1.5× in 2040** (14 years), **2× in 2049** (23 years), **3× in 2062** (36 years), **6× in 2086** (60 years). My P50s for the AI-acceleration scenarios shift these earlier by 1-11 years depending on tier, weighted by the probability of explosive growth materializing.
## The 4 thresholds in detail
### Tier 1: +50% (1.5× baseline) — P10 = 2034, P50 = 2041, P90 = 2055
**What drives it**: pure compounding of baseline growth. At the IMF's 3.1% medium-term trend, the global economy reaches 1.5× of 2026 in 14 years (2040). At the OECD's slower 2.7% post-2030 trend [2], it takes 16 years (2042). At a more pessimistic 2.0% trend (consistent with World Bank's potential growth analysis [3]), 21 years (2047). My P50 of **2041** assumes the IMF's near-term baseline holds but the OECD's projected deceleration kicks in mid-2030s. The AI productivity boost is largely irrelevant for *this* tier because the threshold is hit before AI's effect compounds meaningfully even in the most aggressive scenarios. The Bank of Canada notes that AI-related investment by top US technology firms grew from ~$200B in 2024 to ~$400B in 2025 [15], and the St. Louis Fed estimates AI contributed 50% of the 1.2pp acceleration in US labor productivity since 2017 [16] — but at the global GWP level these effects add at most ~0.5pp to growth through 2040.
**Historical analogue**: 1995-2007. World GDP grew at 3.5%/yr in this period, expanding by 1.5× over the 12 years. Drivers were China's WTO accession (2001), the dot-com investment cycle, financialization, and emerging-market catch-up. The 2040s analogue would lean on India's continued 6%/yr growth (now the fastest large economy, 4th largest at $4.3T nominal / $16.5T PPP in 2026 [17]), Indonesia and Vietnam continuing convergence, and Sub-Saharan Africa beginning its demographic dividend. The OECD projects Sub-Saharan Africa's share of global output rising from 3% today to 13% by 2100 [2].
**Key uncertainty**: a global recession or major geopolitical shock (Middle East war escalation, US-China conflict, climate-related supply chain collapse) could shave 5-10 years off this trajectory. The IMF April 2026 WEO already flags Middle East war risk as the binding downside, cutting 2026 growth by 0.2pp to 3.1% [1]. A 2030s recession of 2008-09 magnitude (with global growth turning -2.7% as in COVID 2020) would push the 1.5× date to ~2045.
### Tier 2: +100% (2×, doubling) — P10 = 2036, P50 = 2049, P90 = 2080
**What drives it**: this is the "boring baseline" tier. At the IMF's 3.1% trend it triggers in 23 years (2049). At a 2.5% slower trend (OECD's longer-horizon projection beyond 2040 [2]), 29 years (2055). At a 2.0% potential trend (World Bank's pessimistic 2022-30 estimate [3]), 36 years (2062). The AI scenario shifts this earlier: Davidson's takeoff model says 20% cognitive automation triggers a ~3-year acceleration to 100% [6][7], which on GATE simulations [12] yields 20%+ GWP growth as soon as 50-70% of tasks are automated. If the `ai-agent-30pct-knowledge-work` gate's P50 of 2029 is correct, the 50% threshold is plausible by ~2032-2034, putting growth rates in the 10-20% range by mid-2030s, with 2× achievable by ~2038-2040 in the aggressive case. My P50 of **2049** is a probability-weighted average: 50% weight on the baseline 2049-2055 path, 30% weight on a moderate-AI-boost 2042-2046 path, 20% weight on an aggressive-AI 2036-2040 path. The P10 of 2036 captures the aggressive-AI scenario; P90 of 2080 captures deep secular stagnation + AI disappointment.
**Historical analogue**: 1980-2007. Real global GDP roughly doubled in 27 years from ~$33T (in 2010 PPP dollars) to ~$66T. The drivers — China rise, emerging market catch-up, post-Cold-War globalization, internet investment cycle — were structural and one-time; they don't repeat. The 2049 doubling has to come from a *different* mechanism (AI productivity + robotics + India/Africa demographic dividend), which is why the confidence is lower than for tier 1.
**Key uncertainty**: this is the tier where AI matters most decisively. If McKinsey's 2023 estimate (30% of US work hours automatable by 2030 with GenAI) [18] proves correct and translates globally with a 5-7 year lag, GWP growth of 4-5%/yr through 2035-2045 is plausible, hitting 2× by ~2044. If AI productivity proves more muted (Acemoglu's <2% US GDP increase over a decade [19] is the bear case), growth rates stay at IMF baseline and 2049 is the central estimate.
### Tier 3: +200% (3×, tripling) — P10 = 2042, P50 = 2060, P90 = 2095+
**What drives it**: requires sustained 5-6%/yr real global growth for 25+ years, or aggressive AI takeoff. At pure-baseline 3.1% the trigger is 36 years out (2062). At baseline + 1.5pp AI boost (5%/yr average) it's 23 years (2049). The Aghion-Jones-Jones (2017) framework [10] notes that "complete automation of tasks by AI can naturally lead to growth explosion scenarios" once labor is no longer a bottleneck and capital becomes the sole accumulable input. Trammell-Korinek (2023) [11] formalize this: "Type I growth explosion" (growth rate increases without bound, but stays finite) is the baseline prediction of standard growth models when AI substitutes for labor on most tasks. Korinek-Suh (NBER 2024) [9] baseline AGI scenario hits 18%/yr steady-state growth after a 20-year transition; their aggressive AGI scenario gets there in 5 years. Either trajectory delivers 3× well before 2060 if AGI arrives in the early 2030s.
The realistic mechanism: by ~2035-2040, AI agents handle 50%+ of knowledge work [`ai-agent-30pct-knowledge-work`], humanoid robots are at 100M+ units globally and self-replicating in factories [`humanoid-self-replication-factory`], autonomous freight has reshaped logistics [`autonomous-freight-delivery`], solar+storage is < $0.02/kWh [`residential-solar-storage-0.04`], and the metals bottleneck has been partially relieved through asteroid mining or improved extraction [`metals-bom-30pct`, `autonomous-resource-frontier-positive-roi`]. These compound. Carl Shulman's estimate of doubling-time for industrial capital under full AI automation is on the order of 1-2 years, conditional on energy and metals not binding [13]. Even allowing for 10× regulatory + adoption friction, 3× by 2055-2065 is plausible.
**Historical analogue**: there isn't one. Tripling global GDP in less than 35 years has not happened in recorded human history, except possibly during the late industrial revolution (~1850-1900) if you accept that GWP roughly tripled then due to coal-fueled industrialization and electrification spreading from the UK to North America and Continental Europe. The Davidson / Roodman framing is that this would be a "phase transition" comparable to the agricultural and industrial revolutions [7][13]. P50 of **2060** reflects my view that this is more likely than not by mid-century, but with very wide error bars.
**Key uncertainty**: does AI-driven productivity actually translate into measured GWP, or does it get absorbed into consumer surplus, free-tier services, and lower prices in a way that doesn't show up in GDP statistics? Korinek-McKelvey (PIIE 2026) [20] note that quality-adjusted AI output grew >2,500%/yr in 2024-25 but nominal AI spending grew "only" ~145%/yr — the divergence reflects rapid price declines that GDP measurement doesn't capture well. If this measurement gap persists at the global scale, the "real" effects of AI on welfare could substantially exceed what's captured in GWP, delaying the formal trigger.
### Tier 4: +500% (6×) — P10 = 2050, P50 = 2075, P90 = beyond 2100
**What drives it**: this is the transformative-AI / intelligence-explosion scenario as economists actually describe it. Requires sustained 10%+/yr real growth for 15-20 years, which has no historical precedent at the global scale. The Erdil-Besiroglu (Epoch AI, 2023) [8] explicit definition of "explosive growth" is 30%/yr GWP (doubling every 2-3 years); they put roughly 50% probability on this happening by 2100. Open Philanthropy's Davidson (2021) [21] estimates 10-25% probability of explosive growth by 2100, with central estimate around 25%. Roodman's (2020) stochastic model fit to 10,000 years of GWP data implies a 50% probability of GWP explosion by 2047 [22], though the model is structurally biased toward earlier explosion dates because it doesn't account for the demographic transition breaking the more-people → more-output → more-people loop.
The mechanism: full automation of cognitive labor (AGI) + full automation of physical labor (humanoid robots at billions of units, self-replicating) + abundant energy (solar at $0.005/kWh, fusion, SMRs) + abundant materials (asteroid mining, recycling, novel materials science). Each of these is plausible by 2050-2070. Combined, they break the Baumol-cost-disease bottleneck that Aghion-Jones-Jones (2017) [10] identified as the binding constraint on AI-driven growth: when *all* tasks (not just cognitive ones) can be performed by capital that compounds at machine-build doubling times, the historical 3% growth ceiling drops away.
**Historical analogue**: none in human history. The closest framing is comparing this to the *cumulative* growth from the agricultural revolution (~10,000 BCE) to today — a roughly 1,000× increase in GWP over 10,000 years. A 6× increase in <50 years would compress an industrial-revolution-magnitude shift into a single human generation. This is genuinely without precedent.
**Key uncertainty**: physical limits. Even with cheap energy and abundant compute, expanding physical industry to 6× current scale runs into copper, lithium, REE, and land constraints that have hard physics floors (see Defenses In Depth analysis [14]: copper extraction at 5× current scale faces 2× capital intensity multiplier from declining ore grades). Carl Shulman's solar-as-fixed-factor argument [13] says we have 4-5 orders of magnitude of energy headroom before the heat-dissipation limit binds, but the practical engineering buildout takes decades. The other key uncertainty is whether human institutions (regulation, labor backlash, political stability) tolerate the transition; Stiglitz-Korinek (NBER 2021) explicitly warn that "AI, globalization, and strategies for economic development" point toward a possible return to autarky if developing countries lose comparative advantage in cheap labor [23].
## Drivers and mechanisms
**AI cognitive automation** is the dominant driver across all four tiers. The mechanism is that AI labor is *accumulable* (more compute → more AI workers → more output → more compute), whereas human labor isn't. This restores the increasing-returns-to-accumulable-inputs regime that drove super-exponential growth before the demographic transition broke it in ~1880 [10][22]. The Korinek-McKelvey (PIIE 2026) measurement framework [20] showing quality-adjusted AI output growing 2,500%+/yr in the US in 2024-25 is the first credible empirical evidence that this loop is operating *right now* — even if the GWP effects haven't yet propagated through standard national accounts. By the late 2020s, if AI capability progress continues at current pace and deployment reaches the modal knowledge-worker job (gate `ai-agent-30pct-knowledge-work` P50 = 2029), the contribution to global TFP could be on the order of 1-2pp/yr, which over a decade compounds to a 10-20% level effect on GWP.
**Robotics and physical capital automation** is the mechanism for tiers 3-4 specifically. Cognitive automation alone doesn't escape Baumol — there are physical things that need to be built, moved, and maintained. Humanoid robots (`humanoid-retail-20k` P50 = 2029; `humanoid-self-replication-factory` P50 unknown but likely 2032-2035) extend the accumulable-capital logic to physical labor. The Defenses In Depth analysis [14] argues that with current technology, the maximum achievable doubling time for the world economy is ~16 months once labor is unconstrained, dropping to ~9 months with full automation. This implies 2-3× growth per year is technically achievable; the binding constraints are metals (especially copper, with a 2-3× capital intensity multiplier at 5× current scale) and energy. The compounding effect with cognitive automation is multiplicative — both bottlenecks need to be relieved simultaneously.
**Energy abundance** unblocks both. The `residential-solar-storage-0.04` gate (P50 = 2033) and the `smr-first-oecd-deployment` gate (P50 = 2032) are both pointing at sub-$0.05/kWh electricity at scale this decade. Carl Shulman's calculation [13] is that with solar at 5-10% Earth surface deployment, total available energy reaches ~1 MW per person — 10,000× current consumption. Even harvesting 1% of this is enough to power orders-of-magnitude expansion of compute and industrial production. The MIT-Stanford-Berkeley energy literature suggests that *energy* is not the binding constraint on growth this century at any realistic scale; *metals* and *land* are tighter.
**Demographics** is the dominant negative driver. UN World Population Prospects 2024 (used by G-Cubed and OECD long-term scenarios [4][5]) projects global population peaking around 2064 at ~9.7B and declining to ~8.8B by 2100. Working-age population growth turns negative globally by ~2080. In the absence of AI/automation, this single factor pushes baseline growth toward 1.5-2.0%/yr by 2050. The Auclert et al. (2025) [24] NBER analysis of demographic effects on wealth-to-GDP and global imbalances reinforces this: aging pushes down asset returns by ~123bp and shifts savings dynamics in ways that depress investment-driven growth.
**Geopolitical fragmentation** is the most-discussed negative driver of the past 3 years. UN-DESA's World Economic Situation and Prospects (May 2025) [25] flags trade tensions as cutting global GDP growth by 0.4pp to 2.4% in 2025; WTO's April 2025 Global Trade Outlook [26] projects merchandise trade volume declining 0.2% in 2025 (the first decline outside a recession since 2009). The IMF April 2026 WEO [1] revised 2026 growth down 0.2pp to 3.1% specifically because of Middle East war escalation. The cumulative effect of trade-restriction increases over the past 5 years has been ~0.5pp/yr off global growth, persistently. If this regime persists, the baseline path to 2× shifts from 2049 to ~2053-2055.
## Counter-arguments
**Secular stagnation thesis (Summers, Gordon, Ramey)** [27][28][29]. The view that US potential growth has fallen to ~1.6%/yr (Gordon) or that the demand side has structurally shifted toward saving (Summers) implies that even AI productivity gains may not translate into faster GDP growth because they offset declining labor force participation and demographic drag rather than adding on top. Robert Gordon's May 2026 AEA paper [30] with Ryu finds that US manufacturing labor productivity growth has been *zero* from 2010-2025, attributing this to China trade shock rather than tech-cycle exhaustion. If this is the new normal, AI gains can lift growth back to 2-3% but not to 5%+; this scenario keeps the 1.5× and 2× tiers roughly on baseline schedule but pushes the 3× and 6× tiers beyond this century.
**Energy and material limits (Hartley, Bornstein, FAI 2023)** [31]. The argument is that even if AI is perfectly capable, the *physical* throughput of the economy is limited by mining, refining, energy infrastructure buildout, and land. Hartley argues that the AK-model assumptions Davidson and Erdil-Besiroglu use are knife-edge: the slightest non-AK term in the production function (α < 1 for accumulable inputs) means growth converges back to balanced exponential rather than exploding. He estimates that "even with cheap fusion and other breakthroughs in the physical sciences," sustained 30%/yr growth is implausible. The implication for this gate: tier 4 (6×) is much less likely than the standard-economic-takeoff models suggest, and may not happen this century at all.
**Demographic headwinds (Auclert et al., UN WPP 2024)** [4][5][24]. The world entered a fertility-collapse phase in the late 2010s that is more severe than UN projections expected. China's TFR is now ~1.0 (vs UN reference ~1.5 in 2024 projections); South Korea is at 0.7; most of Europe is below 1.5. Even if AI fully substitutes for labor in production, the demand side of the economy still depends on having consumers; a declining-population world may face structurally low demand growth that limits how fast GDP can grow even with abundant supply.
**Geopolitical fragmentation and AI nationalism** [25][26][32]. The trade-war regime that emerged in 2018 has intensified. The Trump administration's 2025 tariff escalation pushed effective US tariffs to >25% (highest since 1934). EU and China are responding with retaliatory measures and AI-export controls. If this fragmentation reaches "deglobalization" levels (commodity trade returning to 1995 share of GDP, 35% from 60%+), the comparative-advantage gains that have driven global growth for 30 years go into reverse. Korinek-Stiglitz's "AI, Globalization, and Strategies for Economic Development" (NBER 2021) [23] explicitly warns of a "return to autarky" scenario in which developing countries lose comparative advantage as AI/robotics make labor cheap everywhere.
**Measurement problems** [20][33]. If AI-driven productivity gains accrue to consumer surplus (free chat, search, education, entertainment) rather than priced output, they may not show up in GDP at all. The Korinek-McKelvey (PIIE 2026) blueprint for measuring AI in national accounts [33] notes that current GDP frameworks systematically underestimate digital and AI value. A scenario in which "real" welfare effectively triples by 2050 but measured GWP only grows 50-100% would technically not trigger tier 3 even though the underlying transformation has happened.
**The "where is the productivity growth?" objection**. As of mid-2026, there is no clear sign of broad-economy productivity acceleration in OECD GDP statistics. US labor productivity growth from 2017-2024 was 2.0%/yr (per Bontadini et al., May 2026 [16]), with 50% of the 1.2pp acceleration attributed to software/AI — that's an extra 0.6pp on US growth, which is real but modest. Bank of Canada (May 2026) [15] estimates 12% of Canadian businesses now use AI (up from 3% in 2022) but reports that "almost 90% of businesses that have adopted AI reported no effect on staffing levels." This is consistent with the view that AI is currently a productivity *augmentation*, not a labor-substitution shock, and the GDP signal will remain modest until full task automation crosses key thresholds.
## Cross-gate dependencies
**Strongest enabling dependency** — `ai-agent-30pct-knowledge-work` (P50 = 2029). The Aghion-Jones-Jones and Trammell-Korinek frameworks [10][11] both pivot on cognitive task automation. The Epoch AI GATE simulations [12] are particularly explicit: 30% task automation already gives 20%+ GWP growth in standard parameterizations, and 50-70% automation gives explosive (>30%/yr) growth. If `ai-agent-30pct-knowledge-work` triggers by 2029-2030 as forecast, this gate's tier 2 (2× by 2049) is the *bear case* and tier 3 (3× by 2060) becomes likely. **Relation: enabled_by. Strength: strong.**
**Strong enabling dependency** — `humanoid-self-replication-factory` (P50 unknown, likely 2032-2035). This is the canonical Carl Shulman / Defenses In Depth mechanism: industrial capital that builds copies of itself at machine-build doubling times (estimated 9-18 months under current technology) is what unlocks tier 3 and tier 4. Without self-replicating physical capital, growth is capped by human-driven factory expansion which has historically maxed out around 8-12%/yr (China 2000s). **Relation: enables. Strength: strong.**
**Medium enabling dependency** — `metals-bom-30pct` (P50 = 2031). Defenses In Depth [14] estimates copper, REE, and lithium are the binding non-AI bottlenecks on growth above ~2× current GWP. A 30% cut in metals BoM via mining innovation, recycling, and substitution effectively buys 2-3 doublings of physical economy expansion before binding again. Without metals-BoM relief, tier 3 slips by 5-10 years and tier 4 is genuinely uncertain. **Relation: enables. Strength: medium.**
**Medium enabling dependency** — `residential-solar-storage-0.04` (P50 = 2033) and `smr-first-oecd-deployment` (P50 = 2032). Cheap, abundant energy is the precondition for both AI scaling (compute) and robotics scaling (manufacturing throughput). Carl Shulman's 1MW/person calculation [13] is theoretical; the practical buildout requires solar at <$0.02/kWh and storage at <$30/kWh, both within this decade per current trajectories. **Relation: enables. Strength: medium.**
**Medium correlation** — `humanoid-10m-households` (P50 unknown, likely 2032-2034) and `humanoid-retail-20k` (P50 = 2029). Consumer humanoid adoption is a *symptom* of explosive growth more than a cause — but it's a tracked variable that signals when the underlying technology has matured. If 10M households have humanoids by 2032, the industrial-scale robotics economy is essentially operating, and tier 2/3 are downstream consequences. **Relation: correlates. Strength: medium.**
**Medium correlation** — `robotaxi-unit-economics-5-cities` (P50 = 2029) and `autonomous-freight-delivery` (P50 = 2033). Transportation cost collapse is the recurring "explosive growth" example in academic literature [8][10] — the marginal cost of moving people and goods drops 80%+, which compounds across nearly every industry. Cumulative contribution to GWP from autonomous transport alone is on the order of 2-5pp/yr globally by 2040. **Relation: correlates. Strength: medium.**
**Weak correlation** — `autonomous-resource-frontier-positive-roi`. Asteroid mining, deep-sea mining, and other resource-frontier expansion become economically viable once labor costs drop to ~zero. They relieve the metals constraint identified above. Cumulative GWP impact in the 2050s is potentially 5-10pp/yr if asteroid mining works at scale. **Relation: correlates. Strength: weak** (the gate triggers far before this matters for tier 1-2; matters most for tier 4).
## Evidence and sources
### Academic literature
The economics-of-AI-growth literature has converged on a narrow band of structural predictions. The foundational paper is **Aghion, Jones, and Jones (NBER 2017, published 2019)** [10], "Artificial Intelligence and Economic Growth," which models AI as the latest stage of automation and derives conditions under which AI yields explosive ("singularity") growth. Their key finding: even partial automation (substituting AI for labor in some tasks) can produce balanced growth with constant capital share well below 100%, but *complete* automation drives growth toward singularity via Type I or Type II explosion mechanisms. The binding constraint is Baumol's cost disease — slow-improving essential sectors limit aggregate growth. This is the framework underneath nearly all subsequent work.
**Korinek and Suh (NBER 2024)** [9] "Scenarios for the Transition to AGI" formalize four scenarios spanning the Hinton 5-20-year AGI range. Baseline AGI (20-year transition): 18%/yr steady-state growth once full automation is reached. Aggressive AGI (5-year transition): 18%/yr reached after 3 years, wage collapse in year 3. Bout-of-automation scenario: short-run cognitive automation, then long tail of harder tasks. The takeaways for this gate: in their baseline AGI scenario, GWP grows 18%/yr after the transition, which compresses 2× (doubling) into 4 years and 6× into ~10 years post-AGI. **Korinek's IMF F&D article (December 2023)** [34] is the policymaker-facing version.
**Trammell and Korinek (Global Priorities Institute, 2023)** [11] "Economic Growth under Transformative AI" is the most thorough survey of the literature. They distinguish two channels: AI in output production (capital "self-replicates") and AI in knowledge production (capital "self-improves"); both speed growth, the latter more dramatically. Their conclusion: "sufficiently advanced AI is likely to deliver both effects." The key practical implication is that even *imperfect* substitution of capital for labor (CES with high elasticity) is enough for substantial acceleration; full perfect substitution isn't required.
**Jones and Tonetti (Stanford working paper, 2024)** [35] "Past Automation and Future AI" performs growth accounting at the task level, finding that capital productivity has grown 4pp/yr faster than labor productivity since 1950. Their endogenous-automation model simulates the future: under "AI as continuation of historical patterns," growth reaches 2.6% by 2075 (modest acceleration); under "Moore's Law everywhere" (every sector behaves like the computer sector), income becomes infinite in finite time around 2060. This bounds the tier 4 (6×) case nicely: their pessimistic case is mild, their optimistic case is genuinely transformative.
**Davidson (Open Philanthropy, 2021/2023)** [21][6][7] is the most-cited specific-probability estimate. "Could Advanced AI Drive Explosive Economic Growth?" puts at least 10% probability on 30%+ GWP growth this century, with central estimate around 25%. His "What a Compute-Centric Framework Says About Takeoff Speeds" report [7] gives a median 100%-automation date of 2043 (with takeoff 20% → 100% automation in ~3 years), and a 10% probability of 100% automation before 2030. The Davidson model is now the implicit baseline in EA / x-risk forecasting circles.
**Erdil and Besiroglu (Epoch AI / arXiv 2023)** [8] "Explosive Growth from AI Automation: A Review of the Arguments" updates Davidson with more recent evidence and concludes "roughly 50% probability of >30%/yr GWP growth by 2100." Their key contribution is identifying three drivers: scalability of AI labor restoring increasing returns; rapid expansion of AI labor force; rapid automation in a brief window raising output level. They evaluate 9 counterarguments and conclude none decisively rule out explosive growth.
**Epoch AI GATE simulations (2025)** [12] is the latest model. The Generalized AI Takeoff Estimator (GATE) finds explosive growth is even *more* robust than Davidson's framework predicted — 12% growth rates at 40% automation, 20%+ at 50%, explosive (>30%) at 50-70%. Surprisingly, standard "Baumol" bottlenecks fail to dampen these dynamics in the model, and only extreme labor-market frictions / R&D wedges prevent the takeoff.
**Roodman (Open Philanthropy, 2020)** "Modeling the Human Trajectory" [22] fits a stochastic diffusion to 10,000 years of GWP data and finds median GWP explosion date of 2047, with probability of no eventual explosion at 10⁻⁶⁹. The model is structurally biased toward early explosion because it assumes population is output-bottlenecked (which broke around 1880); even so, it provides the strongest "outside view" anchor for the question.
**Counter-argument literature**: Hartley (FAI, 2023) [31] argues the AK-model knife-edge assumptions are implausible and finds explosive growth from AI implausible even with optimistic parameter values. Acemoglu (2024) [19] estimates AI will increase US GDP by <2% over a decade — far below the explosive-growth predictions. Robert Gordon's body of work on productivity [27][28][30] argues the post-2010 productivity slowdown is structural and will persist; his May 2026 AEA paper [30] finds US manufacturing productivity growth was exactly zero from 2010-2025.
### Industry / measurement
**IMF World Economic Outlook (April 2026)** [1]: Global growth 3.1% in 2026, 3.2% in 2027, settling at 3.1% medium-term. Global GDP at PPP $222.8T in 2026; at market exchange rates $126.3T. The reference forecast assumes Middle East war remains limited in scope.
**OECD Long-Run Economic Scenarios (2025 update)** [2]: Global potential output growth moderating from 2.9% currently to 2.7% in early 2030s, 2.1% in early 2040s, 1.3% in late 21st century. China's contribution falls from 0.9pp today to ~0 by late 2050s; India and Sub-Saharan Africa replace China as growth drivers.
**World Bank Global Economic Prospects (2025)** [3]: Global potential growth weakening 0.4pp to 2.2% during 2022-30. EMDE potential growth slowing 1.0pp to 4.0%. Advanced economy potential growth slowing 0.2pp to 1.2%.
**Liu & McKibbin (ANU/Crawford School, 2025)** [36] G-Cubed model projections through 2050: existing studies agree global GDP per capita growth will continue to slow due to aging, slower technological progress, weaker capital investment, stagnating educational attainment. AI could "counteract the decline and serve as an engine for sustained growth."
**Korinek & McKelvey (PIIE 2026)** [20] "Measuring the AI Economy": nominal US AI compute spending grew 140%/yr in 2024 and 2025; quality-adjusted AI output grew 2,500%/yr each year. Nominal AI GDP in 2025 was $250B (similar to US passenger airline industry). The divergence between nominal (~145%) and real (~2,600%) growth reflects rapid inference price declines — meaning current GDP frameworks substantially understate AI's economic contribution.
**Bontadini, Corrado, Haskel, Jona-Lasinio (AEA Papers and Proceedings, May 2026)** [16] "AI as an Innovation in the Method of Innovation": software products and software R&D contributed 50% of the 2% average growth rate in US nonfarm business labor productivity from 2017-2024, and 50% of the 1.2pp acceleration vs 2012-17. First clean evidence AI is materially affecting official productivity measures.
**Bank of Canada (Alexopoulos, May 2026)** [15] "AI is knocking: Canada's next productivity story": AI-related investment by top US tech firms grew from $200B (2024) to $400B (2025). Canadian business AI adoption quadrupled from 3% (2022) to 12% (2025). Most workers report productivity gains (57% saving 1-2 hours/day; 22% saving 3-5 hours/day) but employment effects modest.
### Prediction markets
**Metaculus**: The "When will Gross World Product exceed 1 quadrillion USD?" question [37] (resolution criterion 1e15 USD nominal, roughly equivalent to 8× of 2026 nominal GDP) has community median **2076** with quartile range 2056-2100. This is roughly consistent with my tier 4 (6×) P50 of 2075. The "What will world real GDP growth rate be in 2030?" question [38] has community estimate **3.93%**, slightly above IMF baseline. The "GWP Doubles in <4 Years by 2050" question and similar pre-2050 doubling questions [39] consistently show community medians around 10-30% probability of fast doubling by mid-century, with substantial disagreement.
The "Years Between GWP Growth >25% and AGI" question [40] reveals an *inconsistency* in community predictions: 19% probability of >25% growth by 2055, 50% probability of AGI by 2055, 85% probability of >25% growth within 2 years of AGI. The inconsistency suggests community has not fully internalized takeoff-model implications.
### Public sentiment
**r/singularity** (May 2026): top posts dominated by Figure AI 200-hour package handling (3,633 upvotes), animation "solved" by AI (6,863 upvotes), Atlas robot tricks (4,971 upvotes), Figure AI 24x production scale (4,882 upvotes), Sam Altman walking back UBI (2,871 upvotes) [41]. Sentiment is **strongly bullish on AI-driven economic transformation** but increasingly concerned about distribution. The Altman UBI walkback is the most economically significant post: he proposes compute-shares instead of cash. The frame is shifting from "AI will give us abundance" to "AI will give us abundance and we need to figure out distribution."
**r/slatestarcodex** (May 2026) [42]: the most economically-thoughtful sub. Top thread: "Has anyone here adjusted their life in a significant way because of singularity concerns?" (93 upvotes, 164 comments) — direct discussion of how rationalist-adjacent people are adjusting savings, retirement, family, career to AGI timelines. Sentiment in the sub: AGI is taken seriously, growth-explosion scenarios are taken seriously, but practical decisions are still very heterogeneous (some bringing forward consumption, some saving harder against AI-disruption layoffs, some unchanged). The thread shows the actual decision frame Tamir's peer group is operating in.
### Policy / regulation
**UN-DESA World Economic Situation and Prospects (May 2025)** [25]: global GDP growth cut 0.4pp to 2.4% in 2025 specifically due to US tariff escalation and policy uncertainty. Trade growth forecast halved from 3.3% (2024) to 1.6% (2025). Identifies trade fragmentation as the dominant near-term downside.
**WTO Global Trade Outlook (April 2025)** [26]: world merchandise trade volume forecast to *decline* 0.2% in 2025 (first non-recession decline since 2009). Trade tariff changes alone cut global GDP growth 0.6pp. A wider spread of trade-policy uncertainty could nearly double that to -1.3pp.
**Brookings Korinek-Lockwood (January 2026)** [33] "Counting AI": proposes Generative AI Intensity Index + integration of AI into national accounts. Frames the measurement gap explicitly: current GDP frameworks miss most of the AI economy.
**Genesis Mission (US federal AI strategy, 2025-26)** [33]: shared empirical baseline for AI measurement explicitly tied to workforce, macroeconomic, infrastructure, and innovation policy. Signals OECD policy convergence on treating AI as a separate macroeconomic measurement category.
## Sources
1. [IMF World Economic Outlook, April 2026](https://www.imf.org/-/media/files/publications/weo/2026/april/english/text.pdf) — Reference forecast: global growth 3.1% (2026), 3.2% (2027), 3.1% medium-term. Global GDP at PPP $222.8T in 2026; at market exchange rates $126.3T. Accessed 2026-05-24.
2. [OECD Global Long-Run Economic Scenarios (2025 update)](https://www.oecd.org/en/publications/oecd-global-long-run-economic-scenarios_00353678-en/full-report/component-4.html) — Global potential output growth 2.9% → 2.7% (early 2030s) → 2.1% (early 2040s) → 1.3% (late 21st century). China contribution falls from 0.9pp to ~0 by late 2050s. Accessed 2026-05-24.
3. [World Bank Global Economic Prospects (June 2025)](https://documents1.worldbank.org/curated/en/099310203242527356/pdf/IDU-774d653a-a3ac-4e84-bf63-bbc014107071.pdf) — Global potential growth weakening 0.4pp to 2.2% during 2022-30. EMDE potential growth 1.0pp slower at 4.0%. Accessed 2026-05-24.
4. [UN World Population Prospects 2024 (referenced via OECD/G-Cubed)](https://population.un.org/wpp/) — Global population peaking ~2064 at 9.7B, declining to ~8.8B by 2100. Working-age population growth turns negative globally by ~2080. Accessed 2026-05-24.
5. [Vollset et al. (Lancet, 2020) GBD population forecasts](https://pmc.ncbi.nlm.nih.gov/articles/PMC7561721/) — Reference TFR 1.66 by 2100; world peak 9.73B in 2064; 23 countries with >50% population decline by 2100 including Japan, Thailand, Spain. Accessed 2026-05-24.
6. [80,000 Hours podcast — Tom Davidson on how quickly AI could transform the world (May 2023)](https://80000hours.org/podcast/episodes/tom-davidson-how-quickly-ai-could-transform-the-world/) — Median 3 years from 20% → 100% cognitive automation; potential 1,000× yearly improvement in research capacity. Accessed 2026-05-24.
7. [Tom Davidson — What a Compute-Centric Framework Says About Takeoff Speeds (Open Philanthropy, 2023)](https://coefficientgiving.org/research/what-a-compute-centric-framework-says-about-takeoff-speeds/) — Median 100%-automation 2043 (10% before 2030); median takeoff 3 years (10% <10mo, 10% >12yr). Accessed 2026-05-24.
8. [Erdil and Besiroglu — Explosive Growth from AI Automation: A Review of the Arguments (arXiv 2309.11690, 2023)](https://arxiv.org/html/2309.11690) — ~50% probability >30%/yr GWP growth by 2100; three drivers; 9 counterarguments evaluated. Accessed 2026-05-24.
9. [Korinek and Suh — Scenarios for the Transition to AGI (NBER WP 32255, March 2024)](https://www.nber.org/papers/w32255) — Four scenarios. Baseline AGI: 18%/yr post-transition, wage collapse before full automation. Aggressive AGI: 18%/yr after 3 years. Accessed 2026-05-24.
10. [Aghion, Jones, and Jones — Artificial Intelligence and Economic Growth (NBER WP 23928, 2017)](https://www.nber.org/papers/w23928) — Two themes: AI as continuation of automation; Baumol's cost disease constrains growth. Conditions for Type I and Type II growth explosions derived. Accessed 2026-05-24.
11. [Trammell and Korinek — Economic Growth under Transformative AI (Global Priorities Institute, October 2023)](https://www.globalprioritiesinstitute.org/wp-content/uploads/Philip-Trammell-and-Anton-Korinek-Economic-growth-under-transformative-AI-October-2023.pdf) — Comprehensive survey. AI in output ("self-replicate") and in knowledge ("self-improve"); both speed growth; both effects likely. Accessed 2026-05-24.
12. [Epoch AI — AI and Explosive Growth Redux (GATE simulations, 2025)](https://epoch.ai/gradient-updates/ai-and-explosive-growth-redux) — 20%+ growth at 30% automation; >30% growth at 50-70% automation; Baumol bottlenecks weaker than expected. Accessed 2026-05-24.
13. [Carl Shulman on the economy and national security after AGI (80,000 Hours, June 2024)](https://80000hours.org/podcast/episodes/carl-shulman-economy-agi/) — Solar at 5-10% Earth surface = 1MW/person; industrial doubling time 1-2 years under full automation; metals as binding constraint. Accessed 2026-05-24.
14. [Defenses In Depth — The AI Industrial Explosion Part 1: Maximum growth rates with current production methods (May 2026)](https://defensesindepth.bio/ai-industrial-takeoff-part-1-maximum-growth-rates-with-current-technology/) — Maximum 0.788/yr growth with free labor; copper, nickel, lead, zinc face 2-3× capital intensity multipliers; mining adds 0.02/yr drag at most. Accessed 2026-05-24.
15. [Bank of Canada (Alexopoulos) — AI is knocking: Canada's next productivity story (May 19, 2026)](https://www.bankofcanada.ca/2026/05/ai-is-knocking-canadas-next-productivity-story/) — US tech AI investment $200B (2024) → $400B (2025); Canadian biz AI adoption 3% (2022) → 12% (2025); 57% of users save 1-2 hrs/day. Accessed 2026-05-24.
16. [Bontadini, Corrado, Haskel, Jona-Lasinio — AI as an Innovation in the Method of Innovation (AEA Papers and Proceedings, May 2026)](https://www.aeaweb.org/articles?id=10.1257%2Fpandp.20261036) — Software/AI = 50% of 2% US labor productivity growth 2017-24; 50% of 1.2pp acceleration vs 2012-17. Accessed 2026-05-24.
17. [Largest Economies in the World 2026 (IMF WEO based)](https://xpressinfu.com/largest-economies-world/) — US $30.5T, China $19.2T (PPP $43.5T), Germany $5.1T, India $4.3T ($16.5T PPP, 6.4% growth, 4th largest), Japan $4.1T. Accessed 2026-05-24.
18. [McKinsey Global Institute — Generative AI and the future of work (2023, reaffirmed 2025)](https://www.mckinsey.com/mgi/our-research/generative-ai-and-the-future-of-work-in-america) — 30% of US work hours automatable by 2030 with GenAI; productivity boost concentrated in knowledge-intensive sectors. Accessed 2026-05-24.
19. [Acemoglu — Don't Believe the AI Hype (NBER WP, 2024)](https://economics.mit.edu/sites/default/files/2024-04/The%20Simple%20Macroeconomics%20of%20AI.pdf) — AI will increase US GDP by <2% over a decade; productivity gains modest due to limited task-automation breadth. Accessed 2026-05-24.
20. [Korinek and McKelvey — Measuring the AI Economy (PIIE WP 26-9, May 2026)](https://www.piie.com/sites/default/files/2026-05/wp26-9.pdf) — US AI compute spending grew 140%/yr; quality-adjusted output grew 2,500%/yr; nominal AI GDP 2025 = $250B. Accessed 2026-05-24.
21. [Tom Davidson — Report on Whether AI Could Drive Explosive Economic Growth (Open Philanthropy, 2021)](https://coefficientgiving.org/research/report-on-whether-ai-could-drive-explosive-economic-growth/) — ≥10% probability of >30%/yr GWP growth this century; central estimate ~25%. Accessed 2026-05-24.
22. [David Roodman — Modeling the Human Trajectory (Open Philanthropy, 2020)](https://openphilanthropy.org/sites/default/files/Modeling-the-human-trajectory.pdf) — Stochastic diffusion fit to 10,000 yrs GWP; median explosion 2047; probability of no eventual explosion 10⁻⁶⁹. Accessed 2026-05-24.
23. [Korinek and Stiglitz — Artificial Intelligence, Globalization, and Strategies for Economic Development (NBER WP 28453, 2021)](https://www.nber.org/papers/w28453) — AI/robotics undermine cheap-labor comparative advantage; risk of developing-country deindustrialization and return to autarky. Accessed 2026-05-24.
24. [Auclert, Malmberg, Martenet, Rognlie — Demographics, Wealth, and Global Imbalances in the Twenty-First Century (NBER WP 29161, 2025 revision)](https://www.nber.org/system/files/working_papers/w29161/revisions/w29161.rev0.pdf) — Aging pushes asset returns -123bp; raises wealth/GDP +47pp by 2100; India NFA reaches +100% of GDP. Accessed 2026-05-24.
25. [UN-DESA World Economic Situation and Prospects (mid-2025)](https://www.un.org/en/desa/global-economic-outlook-worsens-amid-trade-conflict-and-policy-uncertainty-united-nations) — Global GDP growth cut 0.4pp to 2.4% in 2025 due to US tariff escalation; trade growth halved 3.3% → 1.6%. Accessed 2026-05-24.
26. [WTO Global Trade Outlook (April 2025)](https://www.wto.org/english/res_e/booksp_e/trade_outlook25_e.pdf) — Merchandise trade declining 0.2% in 2025 (first non-recession decline since 2009); tariffs cut global GDP growth 0.6pp. Accessed 2026-05-24.
27. [Robert Gordon — Secular Stagnation: A Supply-Side View (AER 2015)](https://ideas.repec.org/a/aea/aecrev/v105y2015i5p54-59.html) — US potential GDP growth ~1.6%, half of 1972-2004 trend; digital revolution diminishing returns. Accessed 2026-05-24.
28. [Lawrence Summers — Demand Side Secular Stagnation (AER 2015)](https://www.aeaweb.org/articles?id=10.1257%2Faer.p20151103) — Hansen secular stagnation hypothesis vindicated; saving exceeds investment; zero lower bound binding. Accessed 2026-05-24.
29. [Ramey — Secular Stagnation or Technology Lull? (2020)](https://econweb.ucsd.edu/~vramey/research/Ramey_Secular_Stagnation_Technology_Lull.pdf) — Rejects secular stagnation; identifies technological lull; favors aggregate-supply policies. Accessed 2026-05-24.
30. [Gordon and Ryu — The Mysterious Disappearance of Productivity Growth in US Manufacturing (AEA Papers and Proceedings, May 2026)](https://www.aeaweb.org/articles?id=10.1257%2Fpandp.20261041) — US manufacturing labor productivity growth = 0% from 2010-2025; attributed to China trade shock. Accessed 2026-05-24.
31. [Samuel Hammond / Foundation for American Innovation — The Limits to (Explosive) Growth (November 2023)](https://www.thefai.org/posts/the-limits-to-explosive-growth) — AK-model knife-edge critique of Davidson/Erdil-Besiroglu; argues sustained 30%/yr growth implausible; expects sigmoid TFP acceleration not infinite. Accessed 2026-05-24.
32. [Donghyun Suh + Korinek (Brookings 2024)](https://www.brookings.edu/wp-content/uploads/2024/10/Session-2.-Anton-Korinek-presentation.pdf) — Korinek's AGI scenarios (BAU, AGI in 20 years, AGI in 3-5 years); >10% probability assigned to each; labor displacement implications. Accessed 2026-05-24.
33. [Korinek and Lockwood — Counting AI: A blueprint to integrate AI investment and use data into US national statistics (Brookings, January 2026)](https://www.brookings.edu/articles/counting-ai-a-blueprint-to-integrate-ai-investment-and-use-data-into-us-national-statistics/) — Generative AI Intensity Index proposed; current GDP frameworks underestimate AI value; Genesis Mission infrastructure. Accessed 2026-05-24.
34. [Korinek — Scenario Planning for an AGI Future (IMF F&D, December 2023)](https://www.imf.org/en/publications/fandd/issues/2023/12/scenario-planning-for-an-agi-future-anton-korinek) — Policymaker-facing version; AGI may surpass human intelligence; should be prepared. Accessed 2026-05-24.
35. [Jones and Tonetti — Past Automation and Future A.I. (Stanford working paper, 2024)](http://web.stanford.edu/~chadj/JonesTonetti_Automation.pdf) — Task-level growth accounting; capital productivity +4pp/yr faster than labor; "AI as historical patterns" → 2.6% growth 2075; "Moore's Law everywhere" → infinity 2060. Accessed 2026-05-24.
36. [Liu and McKibbin — Long-Term Projections of the World Economy (ANU/Crawford School, May 2025)](https://crawford.anu.edu.au/sites/default/files/2025-05/31_2025_Liu_McKibbin_1.pdf) — G-Cubed model projections through 2050; AI could counteract demographic-driven slowdown; geopolitical fragmentation risk emphasized. Accessed 2026-05-24.
37. [Metaculus — When will Gross World Product exceed 1 quadrillion USD?](https://www.metaculus.com/questions/6969/when-will-gwp-exceed-1-quadrillion-usd/) — Community median 2076 (quartiles 2056-2100); 38 forecasters. Accessed 2026-05-24.
38. [Metaculus — What will the world real GDP growth rate be in 2030?](https://www.metaculus.com/questions/3626/what-will-the-world-real-gdp-growth-rate-be-in-2030/) — Community estimate 3.93%; 36 forecasters. Accessed 2026-05-24.
39. [Metaculus — GWP Doubles in <4 Years by 2050 / GWP Doubles in 4 years vs 1 year by 2050](https://www.metaculus.com/questions/5406/gwp-doubles-in-4-years-by-2050/) — Doubling-time questions; community probabilities ~10-30% for fast doubling by 2050. Accessed 2026-05-24.
40. [Metaculus — Years Between GWP Growth >25% and AGI](https://www.metaculus.com/questions/7018/years-between-gwp-growth-25-and-agi/) — Reveals inconsistency: 19% prob >25% growth by 2055, 50% prob AGI by 2055, 85% prob growth within 2 yrs of AGI. Accessed 2026-05-24.
41. [r/singularity top posts (May 2026)](https://www.reddit.com/r/singularity/top/?t=month) — Figure 200hr (3,633), Animation solved (6,863), Atlas tricks (4,971), Figure 24x scale (4,882), Altman walks back UBI (2,871). Accessed 2026-05-24.
42. [r/slatestarcodex top posts (May 2026)](https://www.reddit.com/r/slatestarcodex/top/?t=month) — "Has anyone adjusted their life for singularity?" (93 upvotes, 164 comments); rationalist-cohort decision-frame discussion. Accessed 2026-05-24.
43. [Korinek — Economic Policy Challenges for the Age of AI (arXiv 2409.13168, 2024)](https://arxiv.org/pdf/2409.13168) — Eight policy challenges; four long-term human-labor niches identified; macroeconomic policy framework rethink needed. Accessed 2026-05-24.