22 Mistakes Private Equity Firms Make With AI Transformation, From Vague Mandates to Talent Gaps
alex_verem · x · 2026-09-29
mardehaym lists 22 mistakes PE firms make with AI transformation (several excerpted in the thread):
- Telling every portfolio CEO to "do something with AI" without a business problem, a helper, and clear success criteria
- Confusing successful projects with actual adoption: FTI found 95% of surveyed funds reported initiatives meeting or exceeding business cases, yet 43% of portfolio companies were still experimenting, using AI in limited ways, or not at all
- Assuming budget fixes things: 35% cited AI talent shortages as the scaling barrier vs 20% citing budget
- Waiting to hire a dedicated leader before starting (list truncated at item 4)
Core thesis: the bottleneck is organization and talent, not money.
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