Microsoft’s recent study offers a path to target AI investments based on what developers actually need.

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Microsoft researchers surveyed 860 developers to understand where AI support is actually wanted in daily workflows. Developers welcome AI for tedious operational tasks, cautiously accept it for high-stakes technical work, but firmly limit it for interpersonal or identity-defining work like mentoring. The study reveals that developers prioritize AI tools that are safe, transparent, and easy to control, especially for critical tasks. A quadrant framework maps developer need versus actual AI usage, helping leaders identify where to build new AI support, improve existing tools, or avoid over-investment.

Applying AI where it matters