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If ANT can translate AI-driven hiring into faster prototype development and code generation, near-term operating efficiency could improve, supporting a more favorable risk-adjusted trajectory. However, outcomes depend on ROI from AI tooling and recruitment costs; the effect is uncertain and contingent on execution.
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Anthropic engineering manager Felix Rieseberg says traditional coding interviews no longer signal future performance as AI, notably Claude, writes most of the code. He notes Google and Amazon are testing AI-based hiring and the industry shift toward AI-first developers. The move could lift hiring efficiency and product velocity, but the ultimate impact on ANT hinges on AI ROI and talent costs.
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