Episode 35 The Cost of Change in Complex Industries: David Truch Take on Energy, AI and the Future

Episode 41 Bridging the Gap: Navigating Energy Investments in Latin America with Warren Levy

Warren Levy, a longtime energy sector professional, reflects on re-entering the field to connect investors with Latin American opportunities. He covers the region's investment landscape, geopolitical influences, cultural considerations, and the link between energy policy and socioeconomic progress. The discussion also explores community engagement, AI's growing role in energy, and biodiversity as a meaningful project success metric.

Episode 40 Inside Financial Compliance: AI, Regulation & the SEC Perspective with Ahmed Abdul-Jaleel

Former SEC regulator Ahmed Abdul-Jaleel joins Phil to discuss his move to Empower Investments, the realities of compliance in a changing regulatory landscape, and how AI is transforming financial services. From risk management and governance to AI-powered research, oversight, and training, this episode explores the future of compliance from both a regulator’s and operator’s perspective.

Episode 39 Flipping the Script: Making Grass-Fed Beef Accessible to All with Chris Kerston

Co-founder of Origin Provisions Chris Kerston explains how rising beef prices, a shrinking US cattle herd, and shifting consumer values pushed him to build a grass-fed brand for Middle America, one that trades premium margins for scale, transparency, and shelf space in everyday grocery stores.

Episode 38 Why Cancer Keeps Winning: Randall Riggs on drug failure, mutation, and limits of progress

30 years in pharma and one approved drug says everything. Randall B. Riggs breaks down why cancer resists even the best science, how mutation outpaces static treatments, and why resilience matters more than breakthroughs. Progress is real, but the odds, funding gaps, and biology keep the fight brutally uneven.

Episode 37 Where Automation Breaks Down: Why manufacturing resists AI and easy answers with Matthew

Small-batch manufacturing leaves little room for clean automation or plug-and-play AI. Matthew unpacks the friction between theory and shop floor reality, from unbuildable designs to endless automation projects. Real progress depends less on tools and more on experience, constraints, and hard-earned judgment.