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Where Should AI Live in Organizations?

Does IT Really Kill AI?

๐—œ๐—ง ๐—ถ๐˜€ ๐˜„๐—ต๐—ฒ๐—ฟ๐—ฒ ๐—”๐—œ ๐—ด๐—ผ๐—ฒ๐˜€ ๐˜๐—ผ ๐—ฑ๐—ถ๐—ฒ. (Mollick, The Economist, 2026)
๐—”๐—œ ๐—ฑ๐—ผ๐—ฒ๐˜€๐—ปโ€™๐˜ ๐—ฑ๐—ถ๐—ฒ ๐—ถ๐—ป ๐—œ๐—ง. ๐—œ๐˜ ๐—ฑ๐—ถ๐—ฒ๐˜€ ๐—ถ๐—ป ๐—ผ๐—ฟ๐—ด๐—ฎ๐—ป๐—ถ๐˜‡๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—ฎ๐—บ๐—ฏ๐—ถ๐—ด๐˜‚๐—ถ๐˜๐˜†.ย (Sherlock, 2026)

That headline in last month’s The Economist traveled fast.
But itโ€™s more clickbait than conclusion.

Ethan Mollickโ€™s point wasnโ€™t actually that IT kills AI.
Itโ€™s that AI slows down when itโ€™s treated like traditional enterprise technology.

Thatโ€™s largely true. AI is amorphous and accessible at scale, and requires different treatment than legacy enterprise applications.

But AI isnโ€™t something to โ€œmove out of IT.โ€
And itโ€™s not something that a single leader should own.

It needs to be federated into the businessโ€” with IT owning the center of enablement:

โ€ข Platforms
โ€ข Data
โ€ข Integration
โ€ข Scalable foundations

When that modelโ€” and ITโ€™s role within itโ€”is unclear, AI doesnโ€™t scale.

Ignore the noise.
Clarity scales AI.

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    Janetโ€™s advisory services, based on her extensive knowledge of ecommerce, technology, and organizations were game-changing for us. We built our digital organization around Janetโ€™s recommendations with great results.
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    Major Footwear Company
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    Major Technology Company
    Dr. Sherlockโ€™s recommendations on Product Management saved us from building an unnecessarily complex organization.
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    We relied upon Dr. Sherlockโ€™s invaluable expertise to help us determine the reporting structures, remit, and approach for AI across our agency.
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