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Anthropic ·

She argued that generative AI is moving out of its experimental phase and into something CFOs know well: systematic measurement

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On the question of guardrails, Valentine pointed to a recent incident in which Anthropic inadvertently exposed internal source code for its Claude coding tool, offering a rare public glimpse into how frontier AI labs protect their models.

Key facts

Summary

AI is moving fast, but many companies still have not decided who should own the job of turning that momentum into measurable business value. Valentine pointed to a recent Harvard Business Review article by the founders of the Return on AI Institute, citing survey findings that underscore this opening. Valentine, a tenured associate professor of management science and engineering at Stanford’s School of Engineering, told the room of finance chiefs that CFOs have a strategic opening to lead on AI if they are willing to quantify the value and be accountable for it. That example reinforced a broader point in Valentine’s remarks: the requirements for safe, production-grade AI are fundamentally different from those for everyday employee experimentation.

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