Only 500K people using agentic coding
Ben estimated that only around 500,000 people globally currently use any form of agentic coding workflow, out of 8 billion people.
Snapshot · God Mode Podcast
SpaceX Down 35% From IPO | Cancelling Claude Max for Cursor and Codex | $800 in AI Subs, $50K of Code | DeepSeek Hikes Prices | 25 AI Predictions Graded | EP25
Explore episode
Aug 8, 2026
Where this was said
Gavin Baker, 10x demand, 3x supply
At 19:30 · chapter starts 17:40
Ben pulls in the macro framing from a recent Gavin Baker podcast appearance. Baker's argument is simple and stark: demand for AI tokens is growing roughly 10x over the next year, but data center commitments and supply-side build-out will only deliver around 3x more capacity. Something has to give — either labs cut pre-training compute to free up inference supply, or prices go up. Baker's view is that labs will not cut pre-training, because their investor stories are all built on reaching AGI, and you only reach AGI by continuing to pour resources into the next frontier model. Ben notes that both Fable and Claude are now at their sixth generation of models, converging in parallel. With only about 500,000 people globally using agentic coding workflows today against 8 billion potential users, the demand curve is almost incomprehensibly steep. The hosts' conclusion: the inference layer — companies like Cerebras, and the OpenRouter routing layer recently bid on by Stripe — is where the investment value will accumulate.
Token demand 10x-ing, supply only 3x-ing
Gavin Baker argued on Invest Like the Best that AI token demand is growing 10x next year while supply is only growing 3x, implying prices must rise.
Gavin Baker's Warning: Tokens Are About to Get More Expensive
Investor Gavin Baker laid out a stark supply-demand mismatch for AI tokens: demand is growing 10x next year while supply grows only 3x. Frontier labs won't cut pre-training to free up capacity, so consumer prices are heading up.
Average Intelligence Will Be Free — The Inference Investing Thesis
Average AI intelligence will eventually be free, and frontier models will command a premium. The real investment opportunity isn't in the labs subsidising tokens with VC money — it's in the inference providers routing cheap models at scale.
Similar snapshots
MVP built in one week
Sam's initial MVP was coded in approximately one week using ChatGPT voice mode and copy-pasting code, with no prior technical experience.
Discord vs email for young users
Sam argues Discord is 10x better than email for building relationships with younger users who rarely check their inbox.
Monthly infra costs ~$780–$980
Sam's monthly operating costs include Cursor ($200), AI image generation ($100), AI video generation ($200), hosting ($100), email marketing ($80), and AI compute ($300–$500).
ChatGPT-powered pain point research
Sam recommends copying days of Discord chat history into ChatGPT and prompting it to list recurring pain points as a fast, free market research technique.
50 free tools built total
Bhanu and his team built approximately 50 free tools to attract search traffic, each linked back to SiteGPT.
New tool built in under 5 minutes
With AI coding tools like Cursor, Bhanu can now create a new free marketing tool in less than 5 minutes by referencing existing tools.
KD filter < 10 for rankable keywords
Bhanu filters Ahrefs keyword results to show only those with a keyword difficulty below 10, making them realistic ranking targets for any decent website.
Minimum 1,000 monthly search volume
Bhanu sets a minimum search volume of 1,000 monthly searches when selecting keywords to target with free tools.
20 downloads/day at launch
PropGPT averaged 20 downloads per day right after launching on the App Store through influencer marketing.
