The U.S. monthly jobs report doesn't even have a tech industry category — that classification was set up decades ago. The result: we cannot isolate what AI is doing to the labor market in real time, leaving policymakers and workers essentially flying blind.
Where this was said
At 3:35 · chapter starts 2:03
As Zolan Kano-Youngs and Ben Castleman settle into their conversation, Castleman makes a striking claim: of all the economic shocks hitting the economy right now — tariffs, oil prices, geopolitical disruption — AI may be the one that defines the era in retrospect. 'If you and I are sitting here in 5 years or 10 years looking back on this period, the thing we'll be talking about is AI,' he says. He acknowledges deep uncertainty about what that conversation will look like, but insists this feels like the moment where it's all starting. The hosts also briefly joke about collecting Daily guest-hosts 'like Pokémon,' grounding the episode in a relaxed, conversational register before the hard questions begin.
About 70% of Americans polled believe AI will lead to fewer jobs overall.
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.
Sam's top advice: when prompting Cursor, tell it to architect code for 100,000 users from day one. The AI changes its approach, building scalable frameworks instead of brittle one-user code.
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.
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