Meta's Zuckerberg Admits AI Agents Are Behind Schedule, While AWS and Microsoft Bet Billions They're Not

The gap here is not capability, it is operationalizing agents inside a real organization, and Meta just admitted it is struggling with exactly that after cutting thousands of jobs to fund the bet. That is a useful tell for anyone assuming frontier labs automatically translate model progress into deployed value. The smarter read is that deployment infrastructure and integration work, not raw model quality, may end up being the actual competitive battleground this year.