Dave Linthicum Is Not AI

Welcome to "Dave is not AI." I'm David Linthicum, and I take a skeptical look at the exploding AI marketplace. Forget the hype. We explore the true reality behind AI technology, its capabilities, and its limitations. Discover why enterprises and humans are struggling with AI today, and gain expert insights on how to best navigate a future where AI is everywhere. Join me for grounded, unbiased analysis to master the AI landscape. Because while AI might be the buzzword, clear understanding is your best strategy. Subscribe now for the real AI story.

Dave Linthicum Is Not AI is a technology podcast hosted by David Linthicum, with 78 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

David Linthicum hosts Dave Linthicum Is Not AI, a technology show with 78 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Dave Linthicum Is Not AI

  Agentic AI Has an MCP Problem

  Aug 14, 202610 min

  MCP was supposed to be the breakthrough that made agentic AI actually work at scale. It promised a common language for tools, memory, and action — the missing layer that would turn language models into reliable digital operators. But in 2026, that promise is starting to collapse under real-world pressure. The deeper companies pushed MCP into production, the more they ran into the same problems: security risks, bloated context windows, fragile integrations, unpredictable behavior, and agents that looked impressive in demos but failed when the stakes became real. What was sold as the foundation for the next generation of AI is now being questioned as one of the biggest bottlenecks holding it back. And that matters, because agentic AI does not get judged on hype — it gets judged on whether it can perform safely, consistently, and at enterprise scale. In this video, we break down why MCP is increasingly being seen not as the protocol that unlocked agentic AI, but as the layer that exposed its weaknesses. If 2026 is the year the cracks became impossible to ignore, then 2027 may be the year the industry starts looking for something new. Because when the infrastructure fails, the future built on top of it fails too.

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  Dave Linthicum Is Not AI

  Why AI Vendors Are Embedding Engineers Inside Your Enterprise

  Aug 7, 202613 min

  Forward deployed engineers are suddenly everywhere, and if you spend any time around enterprise AI, cloud, or data modernization, you've probably noticed the title showing up again and again. That is not an accident. The largest AI providers, the hyperscalers, and the big model companies have figured out that most enterprises are very good at launching pilots and very bad at getting those pilots into production. The technology works in a demo, but production is where things become expensive, political, messy, and slow. So the providers created a role designed to live inside customer accounts, remove friction, accelerate deployment, and make sure their platforms become the standard. That is why this matters. These people can be highly skilled engineers and very effective at implementation, but they are not neutral architects or objective advisors. They are funded, trained, and incentivized by the vendors whose technology they represent. Enterprises need to understand that distinction before they confuse implementation help with strategic guidance. In this video, I want to explain where this role came from, why it is expanding so quickly, what value it can provide, and why smart enterprises should engage it with open eyes and very clear boundaries from day one.

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  Dave Linthicum Is Not AI

  Ford's AI Debacle Is a Warning for Every CEO

  Jul 31, 202615 min

  Ford just became the latest cautionary tale in the AI gold rush, and the lesson could not be clearer. The company reportedly leaned on AI-driven quality control systems, believing automation could take over work long handled by seasoned engineers. But instead of delivering the kind of precision and consistency the hype promised, the technology fell short where real-world judgment mattered most. The result was predictable: Ford ran into the wall that so many enterprises are about to hit, discovering too late that AI can automate certain tasks, but it cannot replace experience, intuition, and decades of institutional knowledge. Now, after pushing people out to make room for automation, Ford is bringing those experts back to provide the oversight the machines still need. That is not just a Ford story; it is an enterprise AI story. Too many executives are buying into inflated promises from vendors, cloud providers, and AI platform CEOs who keep selling transformation without properly explaining limitations. Companies absolutely own the bad decisions they make, but they are making them in a market drowning in hype. Ford is what happens when belief outruns understanding. And unless leaders reset expectations now, many more brands will repeat this same mistake.

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  Dave Linthicum Is Not AI

  Flock AI Is Always Watching — And Cities Are Pushing Back

  Jul 24, 202612 min

  Across the country, cities and towns are facing a difficult question: do AI-driven Flock cameras make communities safer, or do they push us closer to a surveillance society? In this video, David Linthicum takes a hard look at why so many municipalities are starting to push back. What began as a tool to help police recover stolen vehicles and identify suspects is now raising serious concerns about privacy, data retention, oversight, and the tracking of ordinary drivers who have done nothing wrong. As citizen outrage grows, local leaders are being forced to respond, in some cases by pausing deployments, rewriting policies, or reconsidering these systems altogether. But this is not a one-sided story. Supporters argue that these cameras can help law enforcement solve crimes faster, improve response times, and provide communities with a stronger sense of security. The real issue is whether cities can find the right balance between legitimate public safety benefits and the risks of constant monitoring. If you care about how AI is changing local government, civil liberties, and public trust, this is a conversation you need to hear. What happens next will influence policing, privacy rights, and public trust in technology for years to come.

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  Dave Linthicum Is Not AI

  Flock AI Is Always Watching — And Cities Are Pushing Back

  Jul 24, 202612 minS0

  <p >Across the country, cities and towns are facing a difficult question: do AI-driven Flock cameras make communities safer, or do they push us closer to a surveillance society? In this video, David Linthicum takes a hard look at why so many municipalities are starting to push back. What began as a tool to help police recover stolen vehicles and identify suspects is now raising serious concerns about privacy, data retention, oversight, and the tracking of ordinary drivers who have done nothing wrong. As citizen outrage grows, local leaders are being forced to respond, in some cases by pausing deployments...

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