Coinbase Cuts 14% of Staff as AI Push Accelerates Tech’s Middle-Manager Purge
Updated
Updated · The Guardian · May 15
Coinbase Cuts 14% of Staff as AI Push Accelerates Tech’s Middle-Manager Purge
6 articles · Updated · The Guardian · May 15
Coinbase last week cut 14% of its workforce and said it will eliminate “pure managers,” requiring remaining managers to contribute code and oversee at least 15 direct reports.
AI is driving the shift: executives at Coinbase, Amazon, Meta and Block say automation lets companies do more with fewer people, flatten hierarchies and strip out bureaucracy.
The new model is already stretching managers. At Meta, some managers took on coding work and wider spans of control; at Block, some engineering managers were assigned as many as 175 reports.
Middle-manager openings in the US were down 42% from their 2022 peak by late 2025, according to Revelio Labs, suggesting the pressure is spreading beyond a few company restructurings.
Researchers and former employees say flatter, AI-heavy structures may speed decisions but risk weaker mentorship, overloaded approval chains, security mistakes and fewer promotion paths.
Could slashing middle management for AI efficiency backfire by eroding mentorship and stifling innovation in tech companies?
As AI flattens corporate hierarchies, what new career paths—or dead ends—await non-technical and early-career workers?
Coinbase Lays Off 700 Employees Amid 14% Workforce Reduction, Citing AI Integration and Market Pressures
Overview
On May 5, 2026, Coinbase announced major job cuts and a comprehensive restructuring in response to challenging crypto market conditions and the rapid rise of Artificial Intelligence. The company faced underperforming shares and declining trading volumes, prompting a shift to a leaner operational model. AI’s growing ability to generate code is directly impacting software engineering roles, leading Coinbase to redesign its teams and management structure. By embracing AI-driven tools and forming smaller, more agile teams, Coinbase aims to boost efficiency and adapt quickly, positioning itself as an AI-first company in a changing tech landscape.