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Rapid advances in AI—especially the shift from training to real-world inference—are reshaping work, business strategy, and the roles of humans. They accelerate productivity while increasing cognitive demands and redefining where human judgment still matters. Here to help us get a handle on that and returning to the show after five years is Rob May, Co-Founder and CEO of NeuroMetric AI, a pioneering company optimizing inference for multi-model AI systems. A serial entrepreneur, Rob has founded and scaled multiple successful companies including Backupify, Talla, Dianthus, and BrandGuard. He’s also an active angel investor with over 100 portfolio companies and brings firsthand insight into the evolution of AI entrepreneurship. His expertise lies at the intersection of AI research, applied inference, and startup strategy. He is also the co-host of the AI in NYC Show, where he discusses the latest breakthroughs in AI infrastructure and reasoning with top founders, investors, and researchers.

We talk about how the bottleneck in business is shifting from labor to cognition, the paradoxical way AI is increasing workloads and cognitive strain, the rise of inference as the core AI economy, and how infrastructure constraints are pushing towards a more distributed AI ecosystem.

All this plus our usual look at today's AI headlines!

Transcript and URLs referenced at HumanCusp Blog.