Part of the What will be the state of AGI by the end of 2030? topic →
This market asks whether no system will satisfy the topic’s full-range AGI definition by December 31, 2030. Current evidence shows rapid gains in coding, science, mathematics, and autonomous task horizons, but those measurements are selective and do not establish reliable performance across all average-human tasks or robust adaptation to novel situations. Expert timelines remain widely dispersed: some prominent leaders place AGI around 2030, while independent analyses emphasize generalization gaps, evaluation limits, and possible compute bottlenecks. Those unresolved requirements keep this residual outcome as the most likely single state, though not by an overwhelming margin.
A Nature perspective distinguishes autonomy and efficacy from generality, helping separate agentic benchmark progress from the market’s AGI definition.
DeepMind CEO says AGI could arrive 'around 2030, plus or minus a year,' describing AI as a 'species-level transition' with humanity having 'little margin for error'
Two government and economic-policy assessments conclude that both continued limitations and acceleration to broad human-level capability remain plausible; neither treats AGI by 2030 as settled.
Company walks back policy that would have covertly degraded Claude's performance for researchers building competing AI models
Amodei's 'Policy on the AI Exponential' proposes FAA-style testing for frontier AI models, argues transparency alone is insufficient. Anthropic pledges $350M to manage AI labor-market impact.
Will AGI be developed and be net positive to the world by the end of 2030?
Will AGI be developed and be net negative to the world by the end of 2030?
Will recursive self-improvement be observed in AI by 2030?
Will any meaningful federal AI regulation be enacted into law by 2029?
Will a federal tax on AI tokens at a provider level be enacted into law by 2029?
Will the American AI Sovereign Wealth Fund Act be enacted into law by 2029?
