Companies having a hard time adjusting to AI
Alex Lieberman
@businessbarista·Sep 2
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.
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