AI may replace middle management and ‘measurer’ roles, says Cloudflare CEO Matthew Prince
Cloudflare has announced plans to cut nearly 20% of its workforce as CEO Matthew Prince warned that artificial intelligence could eliminate entire categories of corporate jobs. The layoffs mainly affect operational and “measurer” roles such as middle management, finance, legal, auditing and internal operations, which the company believes can increasingly be handled by AI systems. Cloudflare said the restructuring is part of its shift toward an “agentic AI-first” operating model rather than a response to weak business performance. While the company continues hiring in engineering and sales, the move reflects a broader trend across the tech industry where firms are using AI-driven automation to streamline operations and reduce workforce size.
Internet infrastructure and cybersecurity company Cloudflare is the latest tech firm to openly link workforce restructuring with the growing impact of artificial intelligence, as CEO Matthew Prince warned that AI could make an entire category of corporate jobs obsolete.
In a recent opinion piece published in The Wall Street Journal, Prince said that most employees affected by Cloudflare’s latest layoffs belonged to what he described as “measurer” roles. These included middle management, finance, legal, internal auditing, operations and revenue recognition teams. According to Prince, AI systems are increasingly capable of handling organisational measurement and oversight tasks with greater speed and efficiency than humans.
Earlier this month, Cloudflare announced plans to cut nearly 20 per cent of its global workforce, affecting more than 1,100 employees. The company said the move is part of its transition toward an “agentic AI-first operating model,” rather than a response to poor financial performance or slowing growth.
Prince argued that AI tools can now monitor workflows, analyse operational data, assess performance and automate compliance processes at a scale that was previously impossible. He described AI systems as “tireless, independent, efficient and available,” suggesting that the technology is fundamentally changing how modern organisations operate.
At the same time, the Cloudflare chief indicated that some categories of workers may remain relatively protected in the near future. He identified “builders,” such as engineers and product developers and “sellers,” including customer-facing sales teams, as roles that continue to hold strong strategic value for the company. Prince said Cloudflare still plans to hire aggressively in growth-oriented functions despite the layoffs.
Cloudflare reported record quarterly revenue growth alongside the workforce reduction, underscoring a broader shift taking place across the technology industry where companies are increasingly using AI-driven productivity gains to justify leaner organisational structures.
The development comes amid growing concerns about AI’s impact on employment. Since the rise of generative AI tools following the launch of ChatGPT in late 2022, companies across sectors have accelerated investments in automation, AI agents and autonomous workflow systems. Several firms, including Meta Platforms, Block and Snap Inc., have also announced layoffs while simultaneously increasing their focus on AI adoption.
According to outplacement firm Challenger, Gray & Christmas, AI-related job cuts in the United States have surged sharply in 2026, with tens of thousands of layoffs already linked to automation and AI-led restructuring initiatives.
However, not everyone is convinced that AI alone is responsible for the cuts. Some analysts and industry observers have accused companies of “AI washing,” where businesses attribute layoffs to artificial intelligence even when broader cost-cutting pressures, post-pandemic overhiring, or operational restructuring may also be major factors. Venture capitalist Marc Andreessen recently argued that many technology firms remain overstaffed after rapid hiring during the pandemic years.
A recent study by Anthropic also suggested that AI systems are becoming increasingly capable of performing tasks related to finance, legal operations, management and analytics, although the research noted that engineering and sales roles may also face growing automation pressures over time.
