Episode 12: Why Enterprise AI Is Still Living in 2024 (And What Enthusiasts Get Wrong About It)

If you've ever wondered why big companies seem slow to adopt the AI tools everyone's excited about — the answer probably isn't what you think.Andrew works inside enterprise AI and has been building agents there for years. Jonathan builds AI agents as an enthusiast, outside any corporate structure. In this episode they compare notes and discover they've been using the word "agent" to mean completely different things. Andrew walks through why enterprise teams are still building the same narrow, scoped agents they were building two years ago — not because they're incompetent, but because of real organizational forces: developer gatekeeping, risk aversion, and a cost-of-automation calculus that AI just recently changed. He also takes apart the popular "enterprises can't use frontier AI because of data privacy" argument — turns out AWS Bedrock and Azure AI Studio already let companies run Claude or GPT privately, with no data sent to the AI provider. The actual gap between local and cloud-hosted AI, he argues, comes down to how you're billed. Jonathan pushes back from the enthusiast side and finds, by the end, that both camps are solving different problems and neither fully understands what the other is dealing with.New episodes every week — full video on YouTube. Hosted by Jonathan Spanos and Andrew Signore.