Google: AI writes 75% of its code, but it isn't building itself yet
Google DeepMind's first internal audit of AI-driven research found no measurable speedup in AI progress, even with AI writing most of the code.
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Key takeaways
- Google DeepMind ran its first internal audit of how much AI is accelerating AI research.
- The audit found no measurable speedup in AI progress.
- Headline claim: AI writes about 75% of Google's code.
- The 'AI builds better AI' feedback loop hasn't shown up in the data yet.
Google DeepMind says AI isn't speeding up AI research. Not yet. Its first internal audit of AI-driven research found no measurable acceleration in progress, per a Decrypt report published October 15, 2026.
The 75% figure
Here's the number that grabs you: AI reportedly writes around 75% of the code at Google. You'd figure that would squeeze timelines hard. The audit says it hasn't. No measurable speedup in how fast AI itself advances.
That gap is the whole story. Writing code is one job. Deciding what to build, designing experiments and landing real breakthroughs are different jobs. Typing faster isn't the same as discovering faster.
What we don't know
The summary we've got is thin. It doesn't spell out the audit's methods, timeframe or metrics. So read the conclusion as a headline finding, not the full picture.
Why it matters
Plenty of AI-token and AI-agent narratives lean on runaway, self-improving AI. If a major lab can't measure that effect inside its own walls, the story's weaker than the pitch decks suggest. Hold or trade AI-linked tokens? Be wary of valuations that assume exponential progress is already underway. It isn't, at least not by this audit. The real question is whether the speedup shows up in the next one, or never does.
Source: Decrypt
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