‘He’d already lost before he started’: What Zuckerberg got wrong on AI agents

The context behind that admission matters. Meta began laying off roughly 8,000 employees in May, about 10% of its corporate workforce, while reassigning another 7,000 to AI-focused teams, moves designed in part to help fund as much as $145 billion in AI infrastructure spending this year. Zuckerberg has acknowledged mistakes in the overhaul before, but this was his most direct concession yet that the technology at the center of it all is running behind.

Stacey Harris, chief research officer and managing partner at Sapient Insights Group, wasn’t surprised.

“I think he forgot about the importance of context and the importance of the human interaction with those agents, and the auditing that needed to be required, like any other resource inside your organization,” she said.

Speeding up bad processes

Harris’s assessment is grounded in data. Sapient’s Annual HR Systems Survey, the industry’s longest-running independent study of HR technology, found that 36% of organizations were using AI in some way in their HR or workforce processes last year. Of those, about 15% had adopted too early, according to Harris. They moved before their processes and tools were standardized, and their business outcomes had decreased considerably as a result.

“Just so you know, we don’t ask them their outcomes. We get those outcomes through third party analysis,” Harris said, referring to measures such as profitability, market share and workforce readiness.