Podbit · The a16z Show
In the 2000 bubble, 97% of all fiber laid in America was dark — unused and worthless. Today, every GPU is running hot. Baker's ROIC test confirms it: the biggest AI CapEx spenders have seen roughly a 10-point increase in return on invested capital since the buildout began. The numbers say this is not a bubble.
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At 3:38 · chapter starts 2:50
David George opens with staggering numbers: $1 trillion of data centers in the US, plans to add $3–4 trillion over five years, a data center buildout that already dwarfs the entire US interstate highway system in inflation-adjusted dollars, and a 150x increase in Google's token processing over just 17 months [2] — Gavin Baker "10-point ROIC increase for big CapEx spenders: The biggest public GPU spenders have seen approximately a 10-point increase in return on inv…" 04:45 . The scale sounds terrifying, but Baker is unfazed [1] — Gavin Baker "In the 2000 bubble, 97% of all fiber laid in America was dark — unused and worthless. Today, every GPU is running hot. Baker's ROIC test co…" 03:38 . He walks through two key comparisons: Cisco peaked at 150–180x trailing earnings in 2000 versus NVIDIA's current ~40x multiple, and unlike dark fiber — where 97% of installed cable sat unused at the bubble's peak — every GPU is running at capacity. The most rigorous test, Baker argues, is ROIC: the biggest public GPU spenders have seen roughly a 10-point increase in their returns since ramping up CapEx [2] — Gavin Baker "10-point ROIC increase for big CapEx spenders: The biggest public GPU spenders have seen approximately a 10-point increase in return on inv…" 04:45 . The ROI on AI infrastructure spending, he concludes, has been unambiguously positive — even if future Blackwell spending will be a fair test.
Google reported a 150x increase in the volume of tokens processed in just the past 17 months, demonstrating explosive real-world AI usage.
Cisco peaked at 150–180x trailing earnings during the 2000 bubble; NVIDIA trades at roughly 40x — a much more moderate valuation.
At the peak of the 2000 internet/telecom bubble, 97% of fiber laid in America was dark — unused and unlit — the defining sign of overbuilding.
The biggest public GPU spenders have seen approximately a 10-point increase in return on invested capital since ramping up AI CapEx, signaling strong returns so far.
The major hyperscalers collectively generate around $300 billion of free cash flow per year, with $500 billion of cash on their balance sheets, underwriting AI CapEx.
Lighting up 1 gigawatt of AI compute capacity on NVIDIA chips costs approximately $40–50 billion.
With AI coding tools like Cursor, Bhanu replicates an existing free tool for a new keyword in under 5 minutes. What used to be a multi-day build is now a lunch-break task.
Ahrefs, SiteGPT, Cal.com, PostHog, Datafast, Sibyl AI, Bento, Feather, Featurepace, Mintlify, Cloud Code, ChartMogul — Bhanu runs his entire business solo with these 12 tools.
PropGPT runs on React Native with TypeScript and Python for ML, Neon for the database, RevenueCat and Superwall for monetization. LLM costs are $20/month, data APIs $100/month, and after $10K in monthly marketing spend, margins sit at roughly 50%.
Game apps keep users engaged long enough for ads to pay off. Tool apps don't — so if you're building a utility, ads are almost always the wrong call and subscriptions are your only real lever.
Inside SEO Bot, a single button labelled 'Boost My Domain Rating' routes users directly to Listing Bot. That one interaction converts a user of one tool into a user of two — without any marketing cost.
Directory listings are a powerful but underrated growth channel — but only if your product is genuinely interesting enough to earn the click. AI products have a natural advantage here because they're easy to package in a compelling, clickable way.
The fastest path to Twitter growth isn't volume — it's forming sharp opinions about how the platform works and sharing them immediately. People cluster around those who understand the rules and say so out loud.
Sam had no coding knowledge, so he used ChatGPT voice mode to generate his entire codebase and copy-pasted it into Notepad. A friend later introduced him to Cursor, and he never looked back.
Copy days of Discord chat history, paste it into ChatGPT, and ask it to list recurring pain points. The ones that come up most often are your best product bets.
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