"You don't want to be too ahead of the learning curve," he said. "If [you are], you're investing and building capabilities that nobody wants."
"Basically, the need to integrate AI with humans. How do you get humans to trust the agent? The agent can trust the human, but the human doesn't really trust the agent."
Corporate leaders increasingly face FOMO around applied AI as investments grow and outcomes remain uncertain. Boards worry about capital expenditure and unclear returns, prompting caution. Capgemini sold its U.S. subsidiary that handled tracing and removal data for ICE amid market and reputational pressures, and the company's share price weakened amid AI spending fears. Executives seek a middle path between moving too quickly and failing to act. AI adoption should proceed through small tests and pilots with an emphasis on integrating AI with human workers and building human trust in AI agents before scaling.
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