What happens when AI collides with one of the most complex industries on earth? In this episode of The AI Guys Podcast, Lee and Rich sit down with Chris Notaro to unpack why healthcare may be one of the biggest battlegrounds for AI, from messy data environments and vendor lock-in to governance, cybersecurity, and the growing gap between innovation and implementation. It is a sharp, honest conversation about what is really holding the industry back, and where the biggest opportunities are starting to emerge.

The team digs into why most healthcare organizations still are not truly ready for AI, how administrative bloat continues to slow progress, and why many of today’s AI wins are happening in billing, claims, and operations instead of direct patient care. Chris also shares his perspective on healthcare data sovereignty, the tension between providers and payers, and how consumers are beginning to use AI tools to take more control over their own health decisions, records, and insurance battles. If you want a real-world look at where AI is creating friction, leverage, and change inside healthcare, this episode delivers it.

If you enjoyed this episode, make sure to subscribe and follow The AI Guys Podcast for more conversations that break down how AI is reshaping business, technology, and everyday life. Drop a comment with your biggest takeaway, and let us know whether AI will fix healthcare, expose its flaws, or both.

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What happens when AI stops being just a tool and starts becoming part of the product building process itself? In this episode of The AI Guys Podcast, Lee and Rich sit down with Tom Carluccio, Head of Market and Product Strategy at Crosscap, to talk about how AI is reshaping product discovery, prototyping, and software delivery. Tom shares his journey from startups and consulting into product leadership, along with the mindset shift that helped his team move faster and build smarter.

The conversation digs into what it really looks like to build products with AI in the loop. Tom breaks down how rapid prototyping creates better customer feedback, why AI compresses the time between idea and execution, and how teams can stay focused on shipping instead of getting stuck in endless planning cycles. They also get into the real challenges, including legacy systems, internal adoption, developer workflows, quality control, and why deep domain expertise still matters more than ever in an AI-first world.

If you are leading a product team, building software, or trying to figure out how AI actually fits into your business, this episode is packed with practical insight. Subscribe for more conversations that make artificial intelligence easier to understand and easier to apply.

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In this episode of The AI Guys Podcast, Lee and Rich dig into the real cost of AI and why cheaper models do not always mean lower bills. They unpack the "inference paradox," where token prices keep dropping while total AI spend keeps climbing because agents are reasoning more, retrying more, and handling increasingly complex workflows. If your team feels like AI is getting more powerful and more expensive at the same time, this episode will hit home.

The conversation breaks down where businesses waste money with AI, from choosing the wrong model for the job to letting massive context windows balloon token usage without realizing it. Lee and Rich also explore why companies need to stop thinking only about cost per token and start measuring cost per outcome, cost per resolved task, and actual business value. They close with a smart look at model routing, orchestration, budget controls, and why the future of AI depends on sending the right work to the right model at the right time.

If you are building with AI, scaling internal usage, or trying to get control of rising token costs, this episode is packed with practical takeaways. Be sure to subscribe so you do not miss future conversations on AI strategy, infrastructure, and real-world adoption.

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All links: https://lnkd.in/eXDpww6V

Spotify: https://lnkd.in/ee9h9GYB

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Apple: https://lnkd.in/epYT2GSi