Eric Aparicio

At Manifest 2026, Scott Luton spent time with Josh Gruenstein, Co-Founder and CEO of Tutor Intelligence, to talk about a future that’s no longer theoretical: AI-powered robot workers operating inside America’s warehouses and factories. And this isn’t a science experiment. It’s already happening.   From MIT to the Warehouse Floor Gruenstein and his team came out of MIT’s Computer Science and AI Lab with a bold idea: build AI-powered robot workers that can handle the manual labor people don’t want to do. “We build physical robots,” Gruenstein explained. “We build AI models that enable robots to perceive their environments, and then we deploy those robots into factories and warehouses across the United States to do manual labor that people don’t want to do.” Unlike traditional automation projects that require massive capital outlays, Tutor Intelligence operates on a robots-as-a-service model. Companies can engage a Tutor robot for roughly $14–$18 an hour, creating a flexible, scalable path to automation without multimillion-dollar implementation risk.   Automation Isn’t New. AI Is Changing the Playbook. When asked about dominant supply chain themes, Gruenstein pointed to a constant drumbeat: automation. But 2026 feels different. “Automation is obviously a constant theme,” he said. “What really seems different…

Last month, we launched Between the Lines, our Supply Chain Now book club, with a simple idea: the best leaders don’t just consume headlines, they read deeply, think critically, and stay curious. The response to our first edition reminded us how powerful shared learning can be! This month, we’re building on that momentum with fresh selections designed to challenge perspectives, spark new ideas, and strengthen the way we think, innovate, and navigate an ever-evolving global landscape.   Check out a few of the selections the Supply Chain Now team recommends from February 2026:   Scott Luton: The 2028 Global Intelligence Crisis from Citrini Research Imagine a short-term future where the very technology we hail as humanity’s next great productivity engine becomes essentially the source of a global economic crisis. “The 2028 Global Intelligence Crisis” from Citrini Research is a thought experiment that projects just such a scenario: by 2028, rapid and widespread AI adoption has supercharged productivity yet hollowed out the consumer economy, driving unemployment above 10% and triggering a deep market downturn as traditional spending collapses despite booming output. In this speculative, but unsettling, framework, AI doesn’t fail, it succeeds so overwhelmingly that the economy it was meant to…