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Capabilities on the main line · CONVERGENCE

AGI

In one viewA system that handles most jobs at least as well as a competent human — including jobs it was never specifically prepared for.

Forecasters cluster on 2027–2033 with a long tail past 2040. The spread is enormous, and much of the argument is about definitions.

StatusHYPOTHESIS
TypeCapabilities on the main line
Marker?
Events in dossier5
Development chronology

In progress

2026

Some forecasts moved closer

About this eventIn the AI Futures sample, estimates updated in early 2026 shifted earlier, but this is not a scientific consensus.

AGI forecasts are highly sensitive to definitions, expert sampling and recent model demonstrations. A shift in several estimates is useful as a sentiment indicator but does not prove acceleration on a measurable scale, so the map separates forecasts from confirmed technological milestones.

Source: AI Futures
2026

The spread stays enormous

About this eventResearcher surveys put 50% probability near 2047; professional forecasters mass on 2027–2033.

Source: FutureSearch
2026

The academic objection

About this eventStanford faculty insist there is no AGI in 2026 and call for evaluation over evangelism.

Source: Stanford HAI

Planned

в планах

Agreeing on a definition

About this eventLabs and academia use different criteria. Without a shared yardstick, "achieved" will be declared before it happens.

Distant horizons

впереди

The economic test

About this eventThe most honest check is the share of jobs a system completes end to end and gets paid for by the market rather than a jury.

Sources and research

Primary material behind this dossier: papers, lab publications and official reports.

Capabilities on the main line