Grey Swan turns public evidence into disciplined scenario probabilities. It tracks whether advances in AI and productive capability are being matched by the energy, health, education, trust, coordination and compute systems needed to absorb them, while climate adds pressure across the whole system.
The model has now been run three times: an October 2025 baseline, a Spring 2026 update and the new Fall 2026 run.
A Grey Swan is a high-impact future whose warning signs are already visible. The framework asks what happens if those signs are acted on early, and what happens if action remains fragmented or delayed.
The two policy postures are Do The Right Thing (DTR), where leaders make material coordinated reforms, and Let It Rip (LIR), where deployment and disruption outrun the response.
v12 keeps the original two postures and four outcomes but improves what is measured. Institutional trust is restored explicitly, economic growth and productivity are visible, compute is measured as productive infrastructure rather than broadband speed, and a new posture layer estimates how likely DTR and LIR actually are.
The Fall 2026 baseline judges the current global posture at roughly 10% DTR and 90% LIR.
Grey Swan does not judge the future from AI capability alone. Progress has to survive contact with the systems that make capability usable.
Reliable, affordable power, grid access, connection constraints, system adequacy and resilience as demand rises.
Surveillance continuity, preparedness capacity and the workforce needed to sustain care through shocks.
Whether educators and learning systems are building meaningful AI capability rather than simply acquiring tools.
Underlying institutional legitimacy plus operational AI accountability, transparency, audit and contestability.
Resilient networks and practical cross-border compacts that work in implementation, not only in communiqués.
Who controls advanced compute and whether productive access exists for smaller firms, universities and public bodies.
Climate is not a seventh silo. Heat, water stress, food insecurity, migration, health burdens and infrastructure damage can weaken every other lever.
Even if productivity and AI capability rise, Full Empowerment is blocked unless gains reach households and workers through stronger financial resilience, labour participation and improving shared prosperity.
The outcomes are system states, not predictions of one dramatic event.
Productive capability spreads widely, institutions remain resilient and gains reach ordinary households, workers, firms and public services. The Wealth-Diffusion Gate must be open.
Disruption continues but systems cope more often than not. Progress is genuine, although incomplete and vulnerable to reversal.
Some sectors and places advance while others stall. Capability, skills and wealth cluster, producing real gains alongside widening gaps.
Not a Hollywood collapse. Pressures compound faster than institutions can absorb them, making shocks harder to manage and recovery slower and more expensive.
The baseline established the scenarios. Spring 2026 worsened the conditional odds. Fall 2026 holds those odds but adds a new answer to a harder question: which posture are we actually following?
Established DTR versus LIR, four outcomes, six Archimedes levers, climate as a cross-cutting condition and the Wealth-Diffusion Gate.
Foundational paper →Trade fragmentation and degraded health surveillance pushed conditional probabilities toward Lost Control. Geopolitical and health flags were active; the Wealth-Diffusion Gate remained closed.
Read the Spring update →The inherited conditional odds do not move. But the new posture assessment puts DTR at only 10%, making the posture-weighted real-world outlook substantially darker.
Read the Fall update →Grey Swan asks where the current trajectory is taking us. A 2050 AI Settlement asks what would have to change for a better outcome to become plausible.
The paper turns the Grey Swan framework from diagnosis toward a positive systems proposition. It asks what would have to move together if AI and climate transition are to become shared human capability rather than a more efficient form of concentration. The six Archimedes pillars remain central, climate is the physical stress condition, and the Wealth-Diffusion Gate becomes the decisive test of whether productivity and capability gains reach households, workers, SMEs, regions and public systems.
Public, reproducible and deliberately conservative.
Grey Swan uses public-access evidence from established international statistical agencies, regulators, system operators and widely used independent datasets. Core v12 source families include the IMF, World Bank, ILOSTAT, OECD/OECD.AI, WHO, IEA and major grid operators, UNCTAD, Freedom House, Transparency International, public Gallup/OECD trust aggregates, the Caldara-Iacoviello Geopolitical Risk dataset and public Epoch AI compute estimates. Official and operator data are preferred; modeled estimates are flagged and given less weight. No private telemetry or proprietary data are used.