
Microsoft Research Podcast Ideas: Steering AI toward the work future we want
Apr 9, 2026
Rebecca Janssen, an economist studying AI’s impacts on work and society. Jake Hofman, a researcher of AI and human cognition. Jenna Butler, an expert on developer productivity and AI in software workflows. They discuss rapid generative AI change, who is adopting AI and how, effects on productivity and early-career risk, metaphors that shape use, and visions for AI that supports meaningful work.
AI Snips
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Episode notes
Students And Teachers Widely Use Generic Chat Tools
- Generative AI use in education is widespread: ~90% of students and ~80% of teachers report using it.
- Most rely on general chat tools (ChatGPT, Claude, Gemini) rather than purpose-built educational tools, creating policy gaps.
People And Leaders Drive Adoption More Than Access
- Individual employees and leaders strongly shape AI adoption and norms within organizations.
- Ground-up sharing of use cases and leader signaling determine who uses AI and for which tasks more than mere access does.
AI Changes Tasks Not Whole Jobs Immediately
- AI shifts work at the task level: engineers spend less boilerplate time and more on complex problems, sometimes causing cognitive overload.
- Productivity gains are real but can introduce new burnout and reliance risks.
