Artificial intelligence may look cheaper than ever, but many of today’s prices are being subsidized by investors while model providers lose billions of dollars. Once that funding slows down, thousands of businesses built on cheap API access could face sudden price increases they cannot survive.
This video examines the real economics behind AI tokens, OpenAI’s enormous infrastructure costs, NVIDIA H100 clusters, cloud contracts, and the startups known as AI “wrappers.” These companies often depend entirely on models they do not own, leaving them vulnerable to changing prices, retired APIs, weaker models, or direct competition from the same providers supplying their technology.
We also explore AI shrinkflation, vendor lock-in, “Sherlocking,” advertising inside AI platforms, and why traditional software profit margins may not apply to systems that require expensive chips and massive amounts of electricity for every request.
Cheap AI was never guaranteed to last. It may have been the bait that convinced businesses to build their products on infrastructure they cannot control.
When the real bill finally arrives, the companies that own their models, hardware, and data may be the only ones left standing.
00:25 - The Day the Tokens Died
02:11 - The $100 Billion Hush-Hush Deal
04:42 - The H100 Math Problem
06:33 - The SaaS Hostage Crisis
08:35 - The Shrinkflation Secret
09:41 - The Root Cause: Silicon Reality
12:16 - Owned Ground
Narrated by: Josh Risser
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