Matt Garman took the reins as AWS CEO in June 2024 after two decades at Amazon, including a stint as one of EC2’s first product managers. Under his watch, AWS has grown into a $150 billion-a-year engine powering much of today’s AI boom. The unit is the main compute partner for Anthropic, has deals with OpenAI worth up to $100 billion and plans around $200 billion in capex—most of it for AI infrastructure—this year alone. On one hand, AWS is rolling out AI-driven “agents” that write code, manage security, even recruit candidates without a human recruiter in the loop. On the other, Garman insists junior talent remains essential. He’s committed to hiring 11,000 interns and new grads this year, arguing that while tools can automate tasks, people adapt and learn new roles. He dismisses predictions that AI will wipe out entry-level white-collar jobs, pointing to how spreadsheets displaced manual calculators yet expanded the labor pool. The tension shows up in Amazon’s broader workforce moves. Since last October, the company cut about 30,000 corporate positions and plans to automate or robot-replace up to half a million roles over time. Garman’s stance is that technology destroys some jobs but creates others—and that companies who never train entry-level talent risk long-term stagnation. He likens AI’s impact to the cloud’s early days: transformative, faster than before, and demanding a constant willingness to learn.