AI is changing how software gets built, but the real bottleneck is still product, distribution, and human behavior. Sam Kamani and Will unpack what actually shifts when anyone can ship an MVP in days, why finding a technical co-founder is no longer the only path, and why most “great ideas” still fail once they have to survive the real world.Sam shares what he’s seeing firsthand as an enterprise AI strategist, from digital humans and workforce replication to the messy reality of bringing AI into customer service, training, and marketing. Will pushes on the deeper question: if AI makes building easier, why is building a successful product still so hard?You’ll discover:
Why AI has lowered the cost and time to build software, but not the difficulty of creating something people actually use
How Claude’s watermarking news connects to AI slop, model collapse, and training on synthetic content
Why the biggest AI companies may be overvalued even as they pour trillions into chips, data centers, and debt
Where open source models might close the gap and where they still lag badly behind Anthropic, OpenAI, and Google
Why enterprises behave differently from retail users, and why tools like Copilot, Claude, and Excel still dominate real workflows
They also get practical about speed and systems: Sam explains how he’s using AI for personal assistants, nutrition tracking, and content creation, while Will proposes automating their entire post-recording workflow with APIs, transcripts, thumbnails, descriptions, and clips.If you care about AI, software, enterprise adoption, or what’s actually worth building right now, this conversation is a sharp look at the gap between hype and reality. It’s especially useful for founders, product builders, and anyone trying to turn AI from a novelty into something people will pay for and use every day.
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