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Companies having a hard time adjusting to AI

Business Ideas
Before & After
Outdoor Advertising
Data
Advice
AI
·
Source
Updated on Nov 8, 2025
businessbarista
Alex Lieberman
@businessbarista·Sep 2
Link to tweet
My biggest learning building McKinsey for AI... Most businesses are not ready for AI transformation. They want it (out of necessity or FOMO), but they lack: - The right ownership in-house - The right technical knowledge in-house - The right tech stack - The necessary cultural

Alex Lieberman nailed it: most businesses want AI, but almost none are ready for it. They chase shiny tools before fixing the basics—people, processes, and culture. His insight from building Tenex AI is a massive wake-up call for anyone pitching an “AI revolution.”

Why it works

  • Hits FOMO and fear head-on.
  • Uses authority (“building McKinsey for AI”) to back up the lesson.
  • Lists real barriers: ownership, tech knowledge, tech stack, and culture.
  • Turns a vague buzzword (“AI transformation”) into a tangible business audit.

Real examples

  • IBM learned the hard way: rebranded as an “AI company,” but growth stalled until process-first initiatives kicked in.
  • Wendy’s used AI to optimize drive-thru times—small, internal use, massive ROI.
  • Airbnb applied AI to pricing after cleaning their data pipelines first.
  • Coca-Cola focused on employee training before deploying generative tools.
Source (tenex.ai)

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