Why the Future of Semiconductor Manufacturing Belongs to Engineers and AI Together

The semiconductor industry has never been a forgiving environment for slow decisions. Engineers are routinely buried under terabytes of yield data, process logs, wafer measurements, and failure analysis reports and every day brings a new problem that requires not just data processing, but genuine expertise and judgment. It is precisely this pressure that makes the conversation around generative AI in semiconductor manufacturing so important, and so easy to get wrong. The wrong conversation frames AI as a replacement. The right one frames it as a co-pilot.

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