AI can make work faster—but does it make it better? In this episode, Dr. Sabrina Anjara is joined by Dr. Manaswi Saha to challenge the idea that speed equals productivity in knowledge work. They explore why “just add human oversight” often fails, how misdesigned collaboration patterns quietly scale risk, and what it really means to measure human–AI collaboration quality. From agency and cognitive effort to joint utility and trust over time, this conversation reframes productivity as something you design—not something you accelerate blindly.

AI is everywhere—but productivity gains are harder to find. In this episode, Dr. Sabrina Anjara sits down with Fergus Gleeson to unpack why many organizations are stuck in “productivity theater”: celebrating time saved, tickets closed, and bots deployed while outcomes stay flat. Together, they explore why productivity in the AI era must be measured at the level of the human+AI workflow, not individual effort; why decision latency beats busywork as a metric; and why reinvesting saved time—with clear ownership—is the real unlock for value. A practical reset of the AI productivity scoreboard.