
What happened
Capgemini CEO Aiman Ezzat told Fortune that leaders should run small AI tests and pilots, not big-bang bets, because no one knows which technologies will mature.
Why it matters
Ezzat frames AI as a whole-business transformation, not just an efficiency tool for separate divisions, and warns against treating it as a black box managed apart from the core business.
What to watch
Capgemini runs labs for 6G, quantum computing and robotics, but Ezzat says nothing is fully ready to mature, so the test is whether those pilots scale when adoption accelerates.
WHO IT HITSCEOs and boards weighing large AI capital expenditures face pressure to show clarity on outcomes; Ezzat's advice suggests IT and strategy teams should favor pilots over big-bang rollouts until adoption patterns mature.
Summaries like this, every morning.
Ezzat's comments come as boards wrestle with AI FOMO and large capital expenditure implications, with outcomes that are shrouded in mystery. He compares the current moment to the metaverse hype, which Capgemini itself experimented with through a metaverse lab, and suggests agility—small tests and pilots—is a better approach than waiting for clarity.
His argument that AI is a business, not a technology, challenges firms that view it primarily as a way to make separate divisions more efficient. He says that approach is a start but not a whole-enterprise strategy that connects data and operations across functions like finance, HR, procurement and supply chains.
Ezzat also pushes back on the phrase "human in the loop," favoring "human in the lead" and "human-centricity," an idea he traces to the 1950s ergonomics movement. The stakes, as he suggests, are higher than bad office chairs: getting AI-human integration wrong could be far more consequential than a bad back, though whether his pilot-first approach proves sufficient hinges on how quickly adoption accelerates.
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