Cybersecurity and cloud infrastructure company Cloudflare has announced major global layoffs, eliminating more than 1,100 jobs — around 20% of its total workforce — as the company aggressively restructures around artificial intelligence. The layoffs are among the clearest examples yet of a tech company openly linking workforce reduction directly to AI adoption.
The San Francisco-based company said the restructuring is aimed at preparing Cloudflare for what it calls the “agentic AI era,” where AI systems increasingly handle tasks previously performed by human employees.
AI Usage Inside Cloudflare Jumped 600%
In an internal memo sent by CEO Matthew Prince and President Michelle Zatlyn, the company said its internal AI usage has increased by more than 600% over the past three months alone. Employees across departments including:
- Engineering
- HR
- Finance
- Marketing
…are now running “thousands of AI agent sessions” daily to complete work.
The memo reportedly stated:
“The way we work at Cloudflare has fundamentally changed.”
Executives said the company is redesigning internal processes, teams, and roles to operate more efficiently in an AI-first environment.
Layoffs Affect Nearly One-Fifth Of Workforce
At the end of 2025, Cloudflare reportedly employed around 5,156 full-time workers globally. The current layoffs therefore affect more than one in every five employees.
Reports suggest the cuts primarily affect:
- Back-office operations
- Administrative roles
- Internal process functions
Engineering and customer-facing sales roles are reportedly less affected, with Cloudflare continuing hiring in certain strategic AI-related areas.
Company Says Layoffs Are Not About Cost-Cutting
Interestingly, Cloudflare insists the layoffs are not being driven by weak financial performance or simple cost reduction.
The company recently reported:
- Q1 revenue of $639.8 million
- 34% year-on-year growth
- Earnings above Wall Street expectations
Instead, executives describe the move as a long-term organizational redesign centered around AI-driven productivity.
Cloudflare said:
- AI has fundamentally changed workflows
- Smaller teams can now deliver larger outputs
- The company wants to avoid repeated future layoffs by restructuring aggressively now
Layoffs Will Cost Cloudflare Up To $150 Million
Despite reducing headcount, the restructuring itself is expected to be expensive.
Cloudflare estimates:
- $140 million to $150 million in restructuring costs
- Large severance payouts
- Accelerated equity vesting expenses
- Extended healthcare support for affected employees
According to reports, affected employees may receive:
- Base pay through the end of 2026
- Continued healthcare support in some countries
- Enhanced severance benefits exceeding industry standards
Investors Still Punished The Stock
Despite strong quarterly earnings, Cloudflare’s stock fell sharply after the announcement.
Shares reportedly dropped:
- Around 18–24% in after-hours and premarket trading
Analysts believe investors are worried that:
- AI restructuring may hurt near-term growth
- Revenue guidance disappointed Wall Street
- AI infrastructure costs remain extremely high
Some reports also noted that Cloudflare’s margins are coming under pressure due to rising AI-related infrastructure expenses.
Part Of A Larger AI Layoff Wave
Cloudflare is not alone. Several major tech firms have recently announced AI-linked workforce reductions or restructuring initiatives, including:
- Meta
- Amazon
- Oracle
- Coinbase
- Block
- PayPal
According to industry estimates cited in reports:
- More than 90,000 tech jobs have been eliminated globally this year amid AI restructuring and efficiency drives.
AI May Transform Work Faster Than Expected
Cloudflare’s announcement is significant because the company openly acknowledged AI as the primary driver behind workforce restructuring instead of citing vague “economic conditions” or “organizational changes.”
The move highlights how AI is increasingly shifting from:
- Productivity assistance
to - Direct operational replacement for some human roles.
At the same time, many experts warn that AI adoption still comes with:
- Massive infrastructure costs
- Reliability challenges
- Human oversight requirements
- Expensive compute demands
Meaning the long-term economics of replacing humans with AI remain uncertain.
