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America's New Industrial Revolution | Matthew Chang

Published 4 months, 3 weeks ago
Description

Empty shelves, clogged ports, and relentless price hikes forced a reckoning: if we need reliability, we have to build more at home. We sit down with Matt Chang, founder of Chang Robotics and co-founder of the Chang Robotics Fund, to map the reshoring wave and the practical playbook for scaling U.S. manufacturing without doubling the workforce. From inventory placement and port limits to the nuts and bolts of warehouse robotics and CNC tending, we focus on clear use cases that lift output, reduce waste, and keep people in safer, higher-skill roles.

Safety leads our AI conversation. Rather than jumping to fully autonomous systems, we break down why “human in the loop” industrial AI offers the best balance of accountability and speed today—optimizing schedules, orchestrating fleets, and catching failures before they cascade. We also dive into financing that aligns payments with productivity, plus the partner ecosystem across robotics, sensing, compute, and IoT that shortens deployment time and sharpens reliability.

One highlight: the fund’s recent investment in REA Resources, a company transforming wastewater fat, oil, and grease into city-scale biodiesel. The chemistry replaces costly incineration with a cleaner, revenue-positive process that can meaningfully offset municipal budgets while cutting emissions. Looking ahead to 2026, we share how we plan to scale talent and customer financing to help exporters compete in aviation, automotive, and CPG—sectors where automation is both a resilience lever and an anti-inflation force.

We also touch on Matt’s Amazon bestseller, “Risk Taking Is Biblical,” and the role of mentorship, values, and discipline—why walking away from misaligned money protects culture and sharpens focus. If you care about reshoring, intelligent automation, and values-driven leadership, this conversation offers a practical map to catch the manufacturing wave. Subscribe, share with a colleague who needs it, and leave a review with the use case you’re tackling next.

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