Meta and Block Eliminate Middle Manager Titles as AI Takes On Oversight Work
Meta and Block are scrapping traditional management hierarchies, replacing middle managers with AI-assisted roles that push decision-making authority down to individual contributors. The shift reflects a broader corporate strategy to flatten organizations and accelerate decision-making by removing layers between executives and workers.
Meta's Reality Labs unit last month introduced three new job titles: "AI builder," "pod lead," and "org lead." Block, the payments company founded by Jack Dorsey, is eliminating the word "manager" entirely, creating "player-coach" positions instead.
At Block, individual contributors now use AI tools to make decisions autonomously rather than waiting for managerial approval. Player-coaches work alongside teams rather than directing them from above. Dorsey outlined an even more ambitious goal: reducing Block's five organizational layers to just two or three by year's end, with the ultimate vision of eliminating hierarchy altogether.
The Numbers Behind the Shift
Middle managers have been targets of corporate cost-cutting for years. Job site Indeed found that companies advertised 12.3% fewer middle-manager positions in 2025 than in 2024. The overall decline in job listings during that period suggests companies are consolidating these roles rather than replacing them one-to-one.
Meta CEO Mark Zuckerberg said during an earnings call in January that his company is investing in AI tools to create a flatter structure. "We are starting to see projects that used to require big teams now be accomplished by a single very talented person," he said.
How AI Handles What Managers Once Did
At Meta's Reality Labs, AI systems now support org leads in handling employee reviews and promotions. The technology doesn't eliminate human judgment but removes the need for dedicated managerial layers to coordinate these functions.
Dorsey and Sequoia Capital partner Roelof Botha wrote in a recent blog post that AI systems can coordinate work that traditional hierarchies once managed. "There is no need for a permanent middle management layer," they wrote. "Everything else the old hierarchy did, the system coordinates."
Both companies acknowledge their current reorganizations still require human oversight. The new roles differ from the old titles mainly in structure and decision-making authority, not in the elimination of human involvement.
What This Means for Managers Now
For those in management roles, the trend signals a fundamental change in what leadership means. Traditional oversight functions are being distributed across AI tools and individual workers. Success in these new structures depends on coaching skills and technical credibility rather than gatekeeping information or approvals.
Managers interested in understanding how AI reshapes organizational design and leadership can explore AI for Management resources. Those in executive positions should consider AI for Executives & Strategy to understand the broader strategic implications of these structural shifts.
The reorganizations at Meta and Block remain in early stages. Whether flatter, AI-assisted hierarchies prove more efficient than traditional structures will become clearer as these companies scale their experiments.
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