A January leadership plan at Mark Zuckerberg’s Hawaii retreat envisioned smaller, AI-supervised teams and major staff cuts. After a May layoff and employee backlash over tracking and weak productivity signals, Meta paused the most aggressive phase and began rebuilding management.
Project OT mapped scenarios where some teams would shrink by up to 60%, replacing much daily work with AI-driven agents supervised by small human pods.
Meta has moved thousands into an Applied AI group and is now offering some engineers a voluntary path back into management after a year of flattening structures.
# What Project OT set out to do In early 2026 Mark Zuckerberg and senior leaders drew up Project OT (Organization Transformation) at a leadership retreat in Hawaii. The plan assumed much routine work could be handled by AI agents, leaving smaller, highly skilled human groups to oversee them. The stated goals were cost cuts, redesigned team structures, and redeploying staff into priority work such as producing training data.
# How teams would change
An early pilot under a product management vice president created five pods that produced prototypes in four-week sprints instead of six-month cycles.
# The timeline and the layoffs Project OT envisioned two waves of workforce change: one in May and a second in November. On May 19, Meta executed the first wave the following morning — a roughly 10% cut, about 8,000 jobs — and cancelled the November wave before leaders finalized how many would be affected.
# Why the plan slowed and partly reversed
Operational signals also raised concerns. Internal data showed code changes increased 220% year over year but changes that reached users rose only 36%. Major technical and security incidents rose 40% and time spent firefighting incidents increased 70%. In June attackers exploited an AI customer support bot to access notable Instagram accounts.
Faced with employee unrest and weak productivity evidence, Meta scaled back the most aggressive workforce reductions and reconsidered its flattened structure.
# Aftermath: Applied AI and rebuilding management
By the end of Q2 Meta reported 75,472 employees (down 3%), revenue of $60.8 billion, and expenses of $42 billion (up 55%). The company has allocated at least $130 billion for AI infrastructure this year. At a July town hall Zuckerberg acknowledged the reorganisation had been mistimed and that agent technology had not progressed as fast as expected.
# What this means for Meta's workplace model Project OT shows a clear organizational experiment: shift many routine tasks to automated agents, concentrate human talent into smaller pods, and reduce middle management. The initiative stalled when tracking measures, employee morale, and operational metrics conflicted with the assumption that AI could immediately replace large amounts of human oversight. Meta's current posture mixes continued investment in models and infrastructure with a partial rollback of the flattened structure it tested.
Meta spent the first half of this year planning to replace much of the work its employees do with AI agents, then abandoned the most aggressive part of the plan when the technology did not deliver. Meta code-named the scheme Project OT, short for Organization Transformation. It explored cutting the size of many teams b
The social-media giant reportedly considered cutting up to 60 percent of some teams and replacing staff with AI.
Meta explored cutting some teams by up to 60% and handing their work to AI agents under a plan code-named Project OT. Hatched at Mark Zuckerberg's Hawaii retreat, it involved two layoff waves, pods of three replacing traditional teams, and keystroke tracking to train AI models. Staff revolted, internal sentiment fell f
The company that spent the past year telling managers to code is now asking some engineers in a key AI division whether they'd like to lead teams again.
The company's AI efforts are in shambles. The post Mark Zuckerberg Had a Secret Plan to Replace Meta Staff With AI Agents, and It Backfired Spectacularly appeared first on Futurism .
In 2026, Mark Zuckerberg made a surprising return to Elon Musk's social network X, seizing the opportunity to unveil Meta's latest AI innovation, Muse. By engaging with specific engineering talent and researchers on X, Zuckerberg aims to leverage diverse online communities for fostering discussions, effectively amplify
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