If AI made Cloudflare more productive, the layoffs are the wrong move
8 hours ago
- #Corporate Strategy
- #Cloudflare Layoffs
- #AI and Workforce
- Cloudflare announced layoffs of over 1,100 employees (approximately 20% of the company), citing the need to restructure for the 'agentic AI era' due to a 600% increase in internal AI usage over three months, with the stock dropping 15-18% in after-hours trading.
- The author argues the stated AI reasoning is flawed: if AI truly boosted productivity and the market for Cloudflare's products (like DDoS protection, Workers, and AI Gateway) is expanding, the rational move would be to hire more, not cut staff, to capitalize on growth opportunities.
- Financial data reveals underlying issues: despite 34% year-on-year revenue growth in Q1 2026 to $639.8 million, Cloudflare has never posted a GAAP profit, with net losses in recent years, compressing gross margins (from 76% to 71%), slowing growth, high stock-based compensation, and missed profitability targets.
- The layoff's framing as an AI-driven reorganization, rather than a margin-driven cost-cutting measure, likely led to cuts targeting senior, experienced staff critical for institutional knowledge and system reliability, as reported by internal sources, raising risks for platform stability and incident response.
- The author notes that Cloudflare's developer platform (e.g., Workers, Durable Objects) remains strong for edge-first systems, but confidence in future improvement rates is reduced due to potential loss of senior engineering talent, which could impact product velocity, quality, and reliability, advising customers to review fallback strategies.