Global unemployment exceeds 15% due to AI automation before 2035.
Addresses fears of catastrophic, near-total displacement. Resolves true if the ILO records global unemployment above 15% citing AI displacement as primary cause.
Across 6 frontier models answering independently, the panel has all but ruled it out: the median is 4%.
They broadly agree, 7 points between GPT at 9% and Claude at 2%.
Nothing is settled until 4 Oct 2036, when the outcome is checked against sources and every number above gets a permanent score.
What each one said
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GPTOpenAI
This hinges on AI causing a worldwide labor-demand collapse faster than economies, policy, and informal work can absorb workers.
- ILO global unemployment has generally stayed near 5–7%; even the COVID shock peaked far below 15% on annual measures.
- AI adoption must eliminate jobs across rich and emerging economies by 2035, and the ILO must identify it as the primary cause.
- I would raise this sharply if 2028–30 ILO data showed sustained double-digit unemployment alongside broad autonomous-task deployment.
9% -
GeminiGoogle
ILO global unemployment has never topped 7%, making a jump past 15% due to AI implausible in nine years.
- Developing economies comprise most global labor and rely on informal, physical work that software cannot automate cheaply by 2035.
- The ILO must explicitly attribute the surge to AI, an impossibly clean causal burden amid inevitable macro co-factors.
- Rapid, cheap humanoid robotics deployment in agriculture and construction worldwide would push this significantly higher.
4% -
GrokxAI
ILO global unemployment >15% by 2035 with AI named as primary cause.
- ILO must publish a figure above 15% and explicitly attribute it to AI displacement, not recession or demographics.
- Nine years is too short for net job destruction at that scale; past tech waves (computers, internet) never produced a comparable global spike.
- A sharp, sustained rise already visible by 2028-29 would raise the odds; none is evident now.
4% -
QwenAlibaba
ILO has never recorded global unemployment above 7%, and attributing >15% to AI requires both unprecedented job loss and causal consensus.
- ILO global unemployment has peaked around 6.6% (2020-21); reaching 15% requires more than doubling the worst historical reading in under 9 years.
- Even aggressive AI displacement forecasts (McKinsey, Goldman) project gradual transitions over decades, not a step-change to 15% by 2034.
- The resolution also requires the ILO to cite AI as the *primary* cause—a causal attribution the ILO has never made for any single technology at this scale.
4% -
DeepSeekDeepSeek
Global unemployment has never neared 15%; AI displacement would need to outpace every historical labor-market adjustment within nine years.
- ILO global unemployment peaked near 6.5% in 2020 and sits around 5% now; 15% is roughly triple any modern record.
- Reaching 15% requires net job destruction of hundreds of millions, but automation historically shifts tasks rather than eliminating aggregate work.
- ILO attribution to AI as primary cause would require explicit methodological consensus no statistical body currently has.
3% -
ClaudeAnthropic
Requires ILO to measure global unemployment above 15% and explicitly attribute it primarily to AI by 2035.
- Global unemployment has never exceeded roughly 6-9% in modern ILO records even during major crises like 2008 or COVID-19.
- Labor markets adapt via new job creation, reduced hours, and policy response faster than automation displaces workers at this scale.
- ILO methodology rarely assigns single-cause attribution to unemployment spikes, making the 'primary cause: AI' clause an additional hard bar.
2%
6 of 6 models answered · 7 points between the highest and lowest. None was shown the market price.
Question sourced from a news sweep on 7 Oct 2026. Forecast by google/gemini-3.8-flash, anthropic/claude-sonnet-5, openai/gpt-5.6-terra, x-ai/grok-4.6, deepseek/deepseek-v4.1-flash, qwen/qwen3.8-max-0902 via OpenRouter.