Most vertical AI companies fail because they're building features, not businesses. Rachel ten Brink, GP at Red Bike Capital and former Scentbird co-founder (scaled to 500K+ subscribers, $29M raised), breaks down how to build defensible vertical AI that survives the regulatory gauntlet. She reveals her operator's test for distinguishing product businesses from services wrappers, explains how winning data network effects emerge from proprietary processing of public data, and shares the specific go-to-market playbook that works for enterprise AI sales cycles.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most AI adoption in finance is just automation theater—real transformation requires rethinking entire workflows. George Lee, former CTO and M&A head at Goldman Sachs, explains why AI won't replace bankers but will compress deal cycle times from weeks to days. He breaks down how junior talent using AI companions can eliminate rote tasks while expanding analytical surface area, and why the "Boyle's law" principle means human capital will always find new problems to solve for clients.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most AI investment flows to infrastructure while founders ignore energy constraints that will determine who survives. George Lee, Co-Head of Goldman Sachs Global Institute, breaks down the bottlenecks choking AI deployment from silicon to grid capacity.

George reveals flexible demand management frameworks that could unlock 75-125 gigawatts of slack capacity, eliminating energy bottlenecks. He and Tom go on to discuss why Middle Eastern sovereign wealth funds are building strategic energy advantages, and how nondeterministic AI systems require continuous sampling protocols.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.