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AI 2027 Milestone Tracker
AI 2027 report milestone tracking (January 2025–present): which predicted capabilities have shipped across Anthropic, OpenAI, Google DeepMind, Meta, xAI, and major enterprise adopters; what remains unshipped or contradicted; and what near-term signals suggest for agentic AI, safety frameworks, autonomy, and deployment timelines
- Claude Opus 4.8
- financial
- frontier
- academic
- vc
- substack
Synthesised 2026-04-08
Full brief
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AI 2027, published in April 2025 by the AI Futures Project, made a falsifiable bet: that frontier AI would cross a superhuman-coding threshold around 2027 to 2028, trigger recursive R&D acceleration, and force a geopolitical reckoning by decade's end. Eighteen months of evidence now exist to test it, and the verdict…
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academic
25 sources
Academic & arXiv
The academic literature through early 2026 presents a coherent body of evidence that broadly supports the methodological critiques in the Fant-AI-sia thesis while also tracking concrete - if uneven - progress against AI 2027 milestones. On agentic AI, the…
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financial
25 sources
Financial Press
The financial and institutional press picture from 2025 to present reveals a market that is simultaneously accelerating and decelerating in ways that resist the clean exponential narrative of AI 2027. On the bullish side, Bloomberg Intelligence documents AI…
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frontier
25 sources
Frontier Lab & Model News
The period from January 2025 through April 2026 has produced a rich and often contradictory body of evidence against the AI 2027 report's milestone predictions. On the 'shipped' side, the agentic AI layer that AI 2027 predicted for mid-2025 has clearly…
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substack
25 sources
Substack Thesis Validation
The evidence from January 2025 through April 2026 provides a complex, mixed verdict on the AI 2027 scenario and the iTone Substack thesis ('Fant-AI-sia: Magic Without Mastery'). On the side of the Substack's skeptical claims: the AI 2027 authors themselves…
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vc
25 sources
VC & Analyst Reports
The VC and analyst lane tells a story of massive capital deployment alongside a persistent and widening gap between headline AI adoption and verifiable enterprise value creation. On the funding side, CB Insights documents a record $200B+ in AI venture…
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