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The end of the BigCheese Podcast

Season 5 Episode 12 - Jun 19, 2026

Show Notes

In this final episode of the BigCheese Podcast, Sean Hise, Jacob Wise, and Brandon Corbin wrap up a two-and-a-half year run by talking through what changed: AI went from the topic to the tool. They reflect on what the show taught them, where AI actually creates leverage, where it creates dangerous overconfidence, and why the next chapter is less about “AI” and more about domain expertise, real-world application, and building things that matter.

Podcast: bigcheese.ai

Hosts

  • Brandon Corbin
  • Jacob Wise
  • Sean Hise

Sponsors

Episode Highlights

  • 00:00:06 The announcement: this is the last BigCheese Podcast episode.
  • 00:00:17 Why ending now makes sense: AI has become “the hammer,” not the whole conversation.
  • 00:01:21 What the podcast actually did for the hosts: forced learning, prep, and clearer thinking.
  • 00:02:41 The big transition: AI is embedded everywhere now, and the value has shifted to domain expertise.
  • 00:04:43 Farm Bureau’s internal AI lab and how BigCheese directly influenced real client work.
  • 00:05:39 Why coding turned out to be the strongest mainstream AI use case.
  • 00:07:42 Music, art, and writing: why AI often produces the mean, not the memorable.
  • 00:10:46 Apps are now getting produced like blog posts: faster, cheaper, and often sloppier.
  • 00:12:09 Meta, Midjourney, and the split between “chasing AI” and actually solving specific problems.
  • 00:15:47 The critique of AGI hype and the case for focused, domain-specific problem solving instead.
  • 00:17:38 Data centers, energy demand, and the infrastructure cost of brute-forcing the future.
  • 00:23:38 Robinhood agent accounts and using AI as executive function for investment decisions.
  • 00:26:26 Replacing old automation tools with custom AI-driven workflows built for one person.
  • 00:29:38 The future isn’t generic SaaS for everyone; it’s more personal, purpose-built software.
  • 00:33:14 Knowledge ownership problem: people get attached to AI-generated plans they barely understand.
  • 00:36:02 Sharp take: ineffective people are even more ineffective with AI.
  • 00:39:35 Why “AI can do everything” is still a reckless claim, especially in high-stakes systems.
  • 00:42:02 Final warning after two and a half years: AI is not deterministic, and it should not be treated like it is.
  • 00:46:46 Final sign-off from Sean, Jacob, and Brandon.

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