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Cloudflare cuts 20% of workforce to focus on builders and sellers as AI takes on management tasks
Cloudflare is cutting 20% of its workforce, targeting middle managers and oversight roles the CEO says AI can now handle. The company is keeping engineers and sales staff while flattening management layers.
Cloudflare's 20% Workforce Cut Signals Shift in How Companies Value Work
Cloudflare will cut 20% of its workforce, with CEO Matthew Prince framing the move as a strategic reset for the "agentic AI era" rather than cost reduction. The company is eliminating roles Prince calls "measurers"-primarily middle managers and staff in finance, legal, and internal audit functions.
Prince argues that AI systems now handle measurement and oversight tasks that once required large management layers. "Tireless, independent, efficient and available, AI systems can now measure an organisation with a level of objective detail and precision that was previously impossible even for the best employees," he wrote in the Wall Street Journal.
Who stays, who goes
Cloudflare is retaining and hiring "builders"-engineers and sales staff-roles the company sees as less vulnerable to near-term AI displacement. The reorganisation removes management layers and shifts decision-making closer to product teams and customers.
The approach prioritises speed. Fewer handoffs and managers who contribute directly to their teams, rather than oversee them, are intended to accelerate execution.
Broader industry pattern
Other technology leaders are adopting similar structures. Coinbase CEO Brian Armstrong is capping organisational layers at five below the CEO, positioning managers as "player-coaches" who work alongside their teams. Bolt CEO Ryan Breslow eliminated the entire HR department to return to a startup-style model.
Block's CFO Amrita Ahuja, whose company cut 40% of staff in February 2024, described the shift bluntly: "It feels like the acceleration is actually only quickening and we are seeing, really, an inevitability at this point around productivity gains."
Data supports the trend. Challenger, Gray & Christmas reported that AI was a leading cause of US job cuts in March and April 2024.
The strategic bet
These restructurings reflect a calculation by leadership teams: AI will absorb more administrative and managerial overhead, freeing people to concentrate on building products and driving revenue. Whether that prediction holds will determine whether these moves prove prescient or premature.
For executives weighing similar decisions, the question is timing. Ahuja suggested it's better to act early than late-a position that carries its own risks if the productivity gains fail to materialise as expected.
AI for Executives & Strategy and AI for Management resources can help leaders understand how to structure organisations for AI-driven productivity.