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Mark Zuckerberg Says Meta’s AI Agents Haven’t Met Expectations Despite Massive AI Spending

Job cuts and AI investment reveal Meta's changing priorities

Mark Zuckerberg told Meta employees this week that AI agent development hasn’t accelerated as expected,  a rare admission from a CEO who’s bet the company’s structure and up to $145 billion on the technology.

At a July 2 internal town hall, Zuckerberg said the “trajectory of the agentic development over at least the last four months hasn’t really accelerated in the way that we expected,” and that the company’s bets on the new structure “haven’t come to fruition yet”. He was referring to AI agents, automated systems designed to execute tasks on behalf of users.

The restructuring that wasn’t “clean”

In May, Meta cut roughly 10% of its global workforce — about 8,000 jobs — and reassigned 7,000 employees to AI-focused teams. The moves prompted employee pushback and raised morale concerns. Zuckerberg now acknowledges the reorganization wasn’t as “clean” as it could have been, and that executives miscalculated the timing.

Leadership had been “super optimistic” about tools like Anthropic’s Claude Code when planning began in January and February. That optimism hasn’t translated into results.

A $145 billion question

Meta is projected to spend $125 billion to $145 billion on AI infrastructure this year — nearly double last year’s $72 billion. The company’s first-quarter revenue hit $56.3 billion, up 33% year-over-year, with AI-driven ad targeting lifting both impressions and pricing. But the agentic layer — the autonomous systems meant to replace human roles, isn’t keeping pace.

Zuckerberg expects “more significant benefits” within three to six months. That timeline now carries weight.

Beyond the town hall

The admission lands amid broader turbulence. Meta’s Applied AI unit, which runs about 6,500 engineers, has been described internally as chaotic, with employees complaining of “mind-numbing” tasks. CTO Andrew Bosworth recently called the rollout “atrocious”. Meanwhile, Meta is reportedly exploring selling excess AI compute capacity, a move that would generate $10 billion to $20 billion in annual revenue.

For now, the question isn’t whether Meta can afford the bet. It’s whether the technology can catch up to the check.

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