Podcast
Podcast #18 of Tokenomics Brief: State of AI Tokenomics Top Takeaways
Episode 18·Oct 5, 2026·18 min The State of AI Tokenomics: Top Takeaways J.R. Storment shares the State of AI Tokenomics data on stage in Amsterdam at the first Tokenomicon. 472 companies, representing about $4.6 trillion in combined revenue, told us where they run AI, how they route it, who owns it and whether they can […]
Why Tokens Aren’t the AI Bill: Introducing Total Cost of AI (TCA)
Episode 17·Sep 7, 2026·24 min Why Tokens Aren’t the AI Bill: Introducing Total Cost of AI (TCA) J.R. Storment recaps a busy 10-day stretch for the Tokenomics Foundation’s four working groups and proposes a new organizing metric: Total Cost of AI (TCA), arguing that token and API costs are only 10 to 25 percent of […]
Podcast #16 of Tokenomics Brief: Routing Wars: Tokenomics in Action
Episode 16·Aug 25, 2026·25 min Routing Wars: Tokenomics in Action From San Diego, J.R. Storment turns the model router story around and reports it from the buy side. Early, directional data from the State of Tokenomics survey shows how far enterprises have already gone on routing, how many are building rather than buying, and exactly […]
Only about a quarter of a platform's AI spend is typically direct model consumption. The rest is GPU, infrastructure, memory, database, compute and the labour around all of it — so a cost model that stops at the token line item misses roughly three quarters of the bill, and the value formula built on top of it is wrong.
Quantization, Capacity and Moving Unit
You buy a Ferrari. Three weeks later it clocks itself down to a station wagon.
Blended Token Cost – the Bill Beneath the Bill
Your PTU runs out mid-request. The call gets routed to pay-as-you-go. Same model, different cost per token.
The AI Value Paradox is the definitive podcast for founders, tech leaders, creative professionals, and business executives.
The Token Economy and New FinOps Jobs
The age of abundant AI is over. JPMorgan's analyst desk reports memory chips are sold out for all of 2026.
Squishy Human Meatballs, the Human Side of FinOps
The human in the loop a squishy human meatball that is needed in some part of every workflow on the horizon. Inelegant but accurate.
FUD and FOMO and How FinOps Agents are Driving Both
Fear is what happens to my job if agents start doing this work. The FOMO fear is what happens to my career if I don't figure this out fast enough.
