Cloudflare Hired 1,111 People to Prove AI Wouldn’t Take Jobs. Then It Fired 1,100 of Them.

📰 Medium · Programming

Cloudflare hired 1,111 people to test AI's job impact, then fired 1,100, revealing AI's potential to automate jobs

intermediate Published 9 May 2026
Action Steps
  1. Analyze Cloudflare's hiring and firing pattern to understand AI's job automation potential
  2. Research the types of jobs that are most susceptible to AI automation
  3. Evaluate the impact of AI on job markets and the tech industry as a whole
  4. Consider the ethical implications of AI automation on employment
  5. Develop strategies to upskill and reskill workers in the face of AI automation
Who Needs to Know This

Software engineers, product managers, and data scientists can learn from Cloudflare's experiment to understand AI's role in automating jobs and its potential impact on the tech industry

Key Insight

💡 AI can automate jobs, but it's crucial to understand which jobs are most susceptible and develop strategies to upskill and reskill workers

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💡 Cloudflare's experiment reveals AI's potential to automate jobs, firing 1,100 of 1,111 hired workers
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