We explore a provocative question at the center of today’s AI conversation in education: when AI boosts productivity, what actually happens to the time it saves? Drawing on a recent workplace study discussed in Harvard Business Review, we examine whether AI reduces workload or quietly expands it, and what that could mean for teachers, school leaders, and the future of work in schools.

Topics covered in this episode:

• Mark Cuban’s framing of two types of AI users
• A workplace study suggesting AI may intensify work rather than reduce it
• Why “time savings” do not necessarily mean less work
• The three forms of work intensification: task expansion, blurred boundaries, and multitasking
• What these patterns could mean for teachers and school staff
• Whether AI efficiency gains actually create meaningful downtime
• How AI tools may begin to co-opt teacher voice and professional judgment
• Why district leaders should think carefully about how work is redesigned around AI

Sources:

https://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-it

https://x.com/mcuban/status/2023750950322889050