Satya Nadella Says Those Who Don’t Embrace AI Within Microsoft Must Leave the Company
Microsoft is at a key turning point under the leadership of its CEO, Satya Nadella. The focus is not only on adding AI agents to Windows 11 or expanding Copilot’s features, but also on a major internal restructuring. The company sees artificial intelligence as both a golden opportunity and a serious threat if not handled with enough focus.
According to Business Insider, the message from leadership to Microsoft’s top executives is clear: commit fully to AI transformation or leave the company.
Nadella Pushes for Speed and Agility
Based on internal documents and employee statements, Nadella is urging teams to work faster and with more flexibility. This has led to direct talks with senior leaders to confirm their readiness to handle the workload of this “AI revolution.”
The goal is to center decision-making around AI leaders and to completely reshape how Microsoft funds and builds its products.
As part of this shift, Judson Althoff was recently promoted to CEO of Microsoft’s commercial business. This move aims to free Nadella and key engineering leaders to focus on the technical side — from system architecture to building data centers.
A New Production Approach and Shift in Leadership Style
To speed up innovation, Nadella has introduced weekly AI acceleration meetings and new communication channels that prioritize input from lower-level technical employees over traditional executive presentations. The idea is to reduce top-down management and get insights directly from the people doing the development work.
Nadella has told corporate vice presidents to rethink their roles — encouraging them to act more like individual contributors (hands-on technical workers) rather than people managers. He has emphasized that Microsoft is already in the “middle innings” of the AI game, not the beginning, and that urgency is critical.
According to Asha Sharma, president of CoreAI product at Microsoft, the company is adopting a new “production function.” Software development no longer follows a simple assembly-line model where more people mean more output. With AI, software and decision-making can scale without a proportional increase in engineering hours. The value now lies in judgment and problem-solving, not just execution.
