McKinsey's AI Lie Explains What's Happening to Work

Reddit r/artificial / 4/6/2026

💬 OpinionSignals & Early TrendsIdeas & Deep AnalysisIndustry & Market Moves

Key Points

  • The article argues that McKinsey did not actually build thousands of AI experts, but instead reframed an existing internal database with a natural-language interface and amplified it through broadly syndicated communications.
  • It claims McKinsey’s strategy across decades has been consistent: leverage new tech to address executive anxiety, position itself as the intermediary for answers, and drive adoption even when outcomes fail to match hype.
  • It connects current AI-driven workplace change to prior technology waves (ERP, digital transformation, big data), suggesting the pattern of disruption and defensive buying repeats.
  • The piece concludes that understanding this recurring playbook helps explain how work is evolving and makes the “future” resemble past cycles of tech adoption.

Everyone thinks McKinsey just built 25,000 AI experts.
They didn't.

They took a 35-year-old internal database, put a natural language interface on top, and wrote a press release that every major business publication ran without asking a single follow-up question.

This is the same play McKinsey has run for a hundred years. ERP in the 90s.

Digital transformation in the 2000s. Big data in the 2010s. Each wave the same: new technology creates executive anxiety, McKinsey positions itself between that anxiety and the answer, and companies buy the trend to protect themselves when it fails.

The future looks a lot like the past.

And once you see it, you can't unsee it.

https://www.youtube.com/watch?v=uTdKJaQkgJQ

submitted by /u/AmorFati01
[link] [comments]