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Applied AI·September 18, 2026·1 min read

Anthropic is operating a lab that conducts biology experiments

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An AI lab running its own wet lab collapses the distance between model capability and real-world bio experimentation—governance, not just safety research, now has to live inside the same org chart as the tools. If you operate in bio or adjacent risk domains, assume leading labs will be direct R&D actors, not just model vendors, and update your dependency and oversight map accordingly.

Applied AI

Leaked presentation: OpenAI expects negative free cash flow of $278B from 2026 to 2030 and projects its revenue will grow from $36B this year to $350B in 2030

A projected $278B negative free cash flow against a $36B→$350B revenue ramp cements frontier AI as a capex arms race, not a normal software business. For enterprise buyers, this likely means continued price pressure on base inference and aggressive pushes into higher-margin, higher-lock-in products to make those curves meet.