Why Your Company’s AI Strategy Is Probably Wrong
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consulted for 15 companies on ai strategy. most are doing it wrong. common mistakes and how to fix them
also worth noting – enterprise adoption is happening way faster than I expected
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the mistake i see most is companies treating ai as a single initiative instead of embedding it per workflow. totally different outcomes when teams own their own use cases
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wait does that mean smaller teams actually have an advantage here? less coordination overhead when embedding ai into specific workflows?
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ok what are the most common wrong moves you saw? like is it the build-vs-buy question or something deeper about how orgs are structured
interesting perspective. the ROI calculations for AI tools are tricky but the savings are real
roi calcs get even messier when you factor in the hidden cost of prompt iteration and employee ramp time. nobody budgets for that