Meta halts second AI layoff wave after revolt
Meta halts second AI layoff wave after revolt
Anonymous
Key Points
1
Meta tested an agile 'pods' model for AI-enabled work, pairing two or three engineers with one designer and running four-week sprints, with at least 11 pods in use by June—far shorter cycles than Meta’s traditional project timelines.
2
A core priority of Project OT was redeploying thousands of employees into AI-related work, explicitly including tasks like producing training data for AI models.
3
Meta established an Applied AI unit of about 6,500 employees and created Superintelligence Labs, signaling a broad institutional push to accelerate AI model development.
4
There was a notable, last-minute reversal around May: just hours before the first layoff wave, Zuckerberg signaled a pause on the broader plan, resulting in a 10% cut but the deliberate cancellation of the planned November wave.
Meta halted its planned second wave of layoffs in November after employee pushback and disappointing results from its AI-replacement experiment, according to IBTimes. The social media giant's ambitious Project OT — an initiative to shrink teams by up to 60% and hand work to autonomous AI agents — stumbled when CryptoBriefing reported that AI productivity gains fell far short of projections, prompting the company to cancel further mass cuts despite maintaining the restructuring effort remains active.
Mark Zuckerberg unveiled Project OT at Meta's January Hawaii retreat as a year-long overhaul to make the company "AI native." The first wave in May cut 10% of the workforce, but The Globe and Mail reported that Zuckerberg reversed course just hours before layoffs began, signaling the November round would be canceled as employee resistance mounted and the feasibility of AI-led productivity improvements came into question.
How Project OT was supposed to work
Project OT aimed to reorganize Meta around AI by deploying autonomous agents to handle routine work and reducing teams to small, high-performing human crews. TipRanks reported that some teams faced potential cuts of up to 60%, with work shifted to AI agents overseen by lean, talent-dense management. The plan explicitly involved redeploying thousands of employees into AI-related roles, including producing training data for AI models.
Meta created two new units to anchor the transformation: an Applied AI team of roughly 6,500 employees focused on advancing AI model development, and Superintelligence Labs. The company also tested an agile "pods" model pairing two or three engineers with one designer to run four-week sprints — drastically shorter than Meta's traditional project timelines. By June, at least 11 pods were in operation.
AI productivity gains never materialized
Internal data revealed that autonomous AI agents were not delivering the promised productivity improvements that justified massive layoffs. CryptoBriefing reported that the shortfall forced Meta to scale back its ambitions and prompted the cancellation of the November layoff wave. Employee resistance grew into a broader critique questioning whether AI could truly replace human workers at the speed and scale Zuckerberg envisioned.
Newsy Today noted that the plan's collapse revealed fundamental flaws in automating complex work. What looked feasible on paper — autonomous agents handling engineering and design tasks — proved far harder to execute. Meta's early pilots showed enough friction that leadership decided further mass cuts risked destabilizing teams already stretched thin and managing AI transitions.
Project OT continues in scaled-back form
Despite halting layoff waves, Meta insists Project OT remains active and ongoing. The company plans to continue pilots, redeployments into AI-focused roles, and structural tweaks like capped manager-to-report ratios to enforce a leaner, more AI-centric operating model. IBTimes reported that Meta signaled no further mass layoffs are planned for 2026, shifting from dramatic cuts to gradual transformation.
The Globe and Mail reported that internal messaging from Zuckerberg emphasized the long-term nature of Project OT, framing it as a multi-year evolution rather than a sudden overhaul. Employees already redeployed to AI teams will remain, while traditional roles adjust gradually. The retreat from the aggressive two-wave schedule suggests Meta learned that disrupting entire departments at once creates too much friction — even for a company that cut 21% of its workforce in 2022 and 2023.
Sentiment
Mostly NegativeNEGATIVENEUTRALPOSITIVE
Publishers
14
Articles
2
Reach
16
A
AnonymousAuthor
