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248: Drew Mehta: "Why Most AI Projects Deliver Faster Garbage Instead Of Business Value"

Drew Mehta explains why so many “AI strategies” fail in practice, and why owner-operators need end-to-end workflow decomposition, not deck-first consulting. We dig into the difference between consultants and builders, the “garbage equation,” and why AI should be used to fix weeks-long process bottlenecks, not just minutes of work.

👤 About the Guest
Drew Mehta is an AI and product builder with 20+ years of experience creating data, analytics, and AI products for Major League Baseball, KKR, and P

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248
Oct. 21, 2026

248: Drew Mehta: "Why Most AI Projects Deliver Faster Garbage Instead Of Business Value"

Drew Mehta explains why so many “AI strategies” fail in practice, and why owner-operators need end-to-end workflow decomposition, not deck-first consulting. We dig into the difference between consultants and builders, the “garbage equation,” and why AI should be used to fix weeks-long process bottlenecks, not just minutes of work. 👤 About the Guest Drew Mehta is an AI and product builder with 20+ years of experience creating data, analytics, and AI products for Major League Baseball, KKR, and P
249
Oct. 16, 2026

247: Are You Building the Future, Or Just Getting Better at Running the Present? (Reflections on Shawn Busse)

Erik walked away from his conversation with Shawn Busse thinking less about technology itself and more about what it actually takes to create something new inside a business. Shawn described business as “the hardest art project ever,” and the idea stuck. Artists create through experimentation: they make something, react to it, change it, throw pieces away, and keep going. Businesses call those same behaviors prototyping, testing, iteration, and product-market fit. The tension is that businesse
248
Oct. 14, 2026

246: Shawn Busse: "The End Of Cheap Customer Acquisition Is Here. Now What?"

Shawn Busse argues that “growth marketing” hits an inherent ceiling when it becomes a commoditized, copyable process. He uses Hotelling’s law and the “Google beach” to explain why competitors converge, prices collapse, and differentiation fades. The antidote is creative, cross-functional marketing that also shapes product, pricing, and delivery. 👤 About the Guest Shawn Busse is the founder of Kinesis, a Portland growth studio helping businesses compete on creativity instead of conformity. A for
245
Oct. 9, 2026

245: "Treating Rejection as Information" (Reflections On Wanda J. Herndon)

🧠 Erik’s Take Erik frames this as a short, high-leverage review of his conversation with Wanda Herndon, using her career as a mirror for a recurring workplace pattern: people who are ready to grow run into organizations that only know how to say “no.” What stays with him is Wanda’s ability to treat rejection as information, not identity. He also leans into the nuance that her story is not a simple “leave when it’s hard” message. It asks harder questions about timelines, internal opportunity, and
244
Oct. 7, 2026

244: Wanda J. Herndon: "What If Every 'No' Is Telling You to Find a 'Yes' Elsewhere?"

Wanda J. Herndon shares how her commitment to telling the truth guided her through corporate PR, and how she navigated being stifled by “sure things” in old-guard companies before helping build Starbucks into a global brand. Her memoir, *Working Class to Breaking Glass*, connects leadership, belonging, and resilience. 👤 About the Guest Wanda J. Herndon is an award-winning communications executive, author, and trailblazer. Best known as Starbucks’ first SVP of global communications, she rose thr
243
Oct. 6, 2026

243: "Everything About Dots: ChatGPT's New Game-Changer" ft. Justin Coats

Justin Coates, co-founder of LearnAir, demos ChatGPT’s new always-on, voice-driven AI agents (Dots) and the “Space” work hub, and explores what changes when work becomes something you can direct and supervise while you are actually living your life. 🧭 Conversation Highlights Dots and related always-on agents connect to your digital work stack, so they can keep working using context from what you’ve linked. The episode centers on real demos: updating a podcast run-of-show doc, fixing broken int