AI Forecast Ledger
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Case file No. 04 · AI Forecast Ledger

Missedcapabilities

Within three to six months AI will be writing 90% of code, and within a year essentially all of it

Missed · called by Mar 2026

3 receiptsOpen verificationClose

Missed

Share of production code generated by AI vs. written by humans30.1 % of Python functions (US contributors) written by AI, December 2024 (as of 2024-12)

Verified blind: DeepSeek V4 + Grok — agree

How it's graded

Met if, broadly across software, AI is generating ~90% of code by late 2025; failed if human-written code stays the clear majority of production software

Share of production code generated by AI vs. written by humans1 measured point

30.1% of Python functions (US contributors) written by AI, December 2024as of 2024-12

A single reading is not yet a trajectory. The figure appears once a second measurement lands.

Table view
As ofMeasured (% of Python functions (US contributors) written by AI, December 2024)Receipt
2024-1230.1source

Trajectory unverified indicators — not graded receipts

  • Sep 2025By late 2025: AI writing ~90% of code (the 3–6 month call) missedSix months on, no verified industry-wide 90% figure materialized; independent analyses put AI's share far lower.assessed Jun 2026indication↗
  • Mar 2026By Mar 2026: AI writing essentially all code (the 1-year call) missedA year on, human-written code remains the clear majority of production software; even Anthropic's internal 90% claim is disputed.assessed Jun 2026indication↗

Receipts · 3

Ledger history
  • 2026-06-24: seeded
  • 2026-06-25: demoted pending bulletproof re-grade
  • 2026-06-26: added trajectory checkpoints — both 3–6mo and 1-yr milestones missed
  • 2026-07-03: The claim's target date (2026-03) is in the past. The prediction was that AI would be writing 90% of code by late 2025/early 2026. Source 7 (arXiv, measurement) shows that by December 2024, AI wrote…
  • 2026-09-14: Verdict 'wrong' remains correct (target 2026-03 passed with AI's share of production code far below 90%). A fresh read of the arXiv study supplies the best quantified independent measurement of…

Every verdict on the ledger is graded against dated, archived third-party evidence and blind-verified by two independent models.