Tokenomics Will Wreck Your Margins: The AI Model Routing Workflow That Cuts Spend 50%

Tarun Raisoni built a data center company to roughly $400 million in trailing sales without taking a dollar of outside capital, sold it to a Fortune 500 for $217 million, then walked away from the boat and the fishing rod to start over. His answer for why is four words long: "exits are just a number." What he started instead is Gruve, and what he came on the show to argue is the most uncomfortable idea in enterprise AI right now. Here it is. In the cloud era, your data went somewhere else and stayed exactly what it was. A provider could store it, back it up, and hand it back to you unchanged, because storage does not understand. The AI era broke that. When you push high quality proprietary data into a frontier model, the data can be parameterized, and the intelligence inside it can escape. Tarun's question is not who owns the file. It is who owns the understanding. He calls it the intelligence boundary, and nobody has drawn it yet. Ryan pushed on the obvious nightmare version. You install Claude Code across your team, they ship ten times faster, you feed your financials and your roadmap into it, and then Anthropic launches Claude for Teachers into the exact market you were building for. Tarun did not flinch. He reached for Amazon Basics instead, which is the cleanest available precedent: watch what sells on your platform, build your own version, undercut the seller. Except now the platform is not a marketplace. It is the thing your team talks to all day. His prescription is not "go local and hide." It is a hybrid routing model, and he is blunt that where you draw the lines depends entirely on your business. Some workloads belong in a frontier model because the data gravity and the IP density are low. Some workloads you fine-tune inside your own ecosystem on a large open source model. And some workloads you do not let a frontier model see, not the data, not the metadata, not even the shape of the algorithm. Then the economics arrive, and this is where founders should sit up. Tarun's word is tokenomics, and his point is that the bill you are staring at right now is not a real bill. It is a heavily investor-subsidized bill. What you paid for ChatGPT or Claude two years ago versus one year ago versus today reflects a subsidy that is being slowly withdrawn. Ryan told the story of a founder friend who worked himself into a hospital bed in January because he was convinced the tools were about to be yanked. Tarun's answer was calmer and more useful: stop worrying about the rug pull and start measuring whether the spend is actually producing measurable productivity. Software engineering is measurable. Most other things in your company are not yet. The go-to-market story is genuinely unusual. Enterprises are notoriously brutal to sell into, so Gruve bought its way to a standing start, acquiring NetServ, Lumos Cloud, and SecurView to import talent, partnerships, and customers in one motion. Cisco is both a channel partner and an investor. Reception from the inherited accounts, in his telling, was not resistance but relief, because those customers were being offered outcomes instead of headcount and hours. Gruve: ⁠https://gruve.ai⁠ Tarun's Forbes Technology Council article, "The Next Enterprise Won't Just Use AI, It Will Own Its Intelligence": ⁠https://www.forbes.com/councils/forbe... Iron Lady Foundation: ⁠https://ironladyfoundation.org⁠ Tarun on LinkedIn: ⁠  / ⁠   ⁠  / ⁠   #1 AI Founder Newsletter! ⁠https://aiforfounders.co⁠ Build your audience for life! ⁠https://inboxalchemy.co/⁠ If you're not AI native; you're not getting the job! ⁠https://ainativestudent.com/⁠ Get 35% off any supplement subscription with Momentous! ⁠https://crrnt.app/MOME/8RDrnXDd⁠ Use code RYAN30 to save $30 on your AI men's fashion stylist! ⁠https://taelor.style/⁠ Your podcast's autonomous AI sponsorship agent! ⁠https://gethowdi.com/