What is the “AI 2027” scenario?
What it is
Where Aschenbrenner's Situational Awareness is a trend-extrapolation essay, AI 2027 is a concrete narrative scenario: a detailed, month-by-month depiction of how events might play out if AI capabilities keep compounding and AI begins to automate its own research around 2027. It's meant to make an abstract forecast vivid and testable, not to be a guaranteed prediction.
How it relates to Situational Awareness
| Dimension | Situational Awareness | AI 2027 |
|---|---|---|
| Form | Trend-extrapolation essay (2024) | Narrative scenario (2025) |
| Inflection year | 2027 | 2027 |
| Engine | AI automating AI research (recursive R&D) | |
How the shared claim is tracking
Both stake out AGI-level capability around 2027 driven by autonomous AI research — exactly what this scorecard grades as Open. As of mid-2026, agentic coding is strong (~80% SWE-Bench Pro) but no system has autonomously conducted AI research end-to-end. The shared core resolves by January 1, 2028. See the side-by-side comparison. As of July 2026, that shared 2027 bet sits at 62.5/100 on our auditable AGI-2027 Thesis Tracker — the single running score that moves as each verdict resolves.
Frequently asked questions
A widely-discussed 2025 scenario forecast, from researchers including former OpenAI staff, depicting month by month how a fast AI takeoff could unfold around 2027 via AI automating AI research.
They share the core: 2027 as the inflection point and recursive AI R&D as the engine. They differ in form — AI 2027 is a narrative scenario, Situational Awareness is a trend-extrapolation essay.
The shared core claim is still open. As of mid-2026 agentic coding is strong but autonomous AI research is undemonstrated; it resolves by January 1, 2028.
The live scorecard updates as models ship and verdicts change.
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