Podbit · The Prof G Pod with Scott Galloway
Galloway points to IBM and big tech as proof that AI hasn't cracked visual design: the number of designers as a percentage of total employees has actually gone up, not down. Human-centered, differentiated design is more in demand than ever, and Sora's struggles bear that out.
Where this was said
At 8:10 · chapter starts 2:07
Pablo's question cuts to the heart of the most pressing tension in tech: companies are spending furiously on AI, but the productivity payoff is stubbornly elusive. Galloway opens with the macro: worldwide AI spending is forecast to hit $2.6 trillion in 2026, up 47% from 2025. But then the counterweight arrives — a 2024 MIT study found humans are cheaper than AI for 77% of vision-based tasks, and a survey of 6,000 senior executives found 90% of firms reporting zero productivity impact over three years [1] — Scott Galloway "No AI productivity impact: A survey of 6,000 senior business executives found that 90% of firms report AI having no impact on productivity …" 04:25 . Even the executives who use AI average just 1.5 hours a week. The picture that emerges is of a technology that works beautifully in demos and lab conditions but struggles to move the needle at organizational scale. Galloway draws a distinction between AI technology, which he's bullish on, and AI stocks, which he believes are priced for a world that doesn't yet exist. He predicts CFOs will soon take the wheel from CEOs who've been using AI talk to wallpaper over poor management decisions, and that the era of experimentation will give way to a hard ROI reckoning [2] — Scott Galloway "We're leaving the AI experimentation era and entering the ROI era — and that transition is going to hurt AI stock valuations hard. Galloway…" 05:40 . The one silver lining: consultants who help companies decide where to spend on AI are about to have a very good few years.
Worldwide AI spending is forecast to total $2.6 trillion in 2026, a 47% increase year over year.
Total AI spending in 2025 was $1.76 trillion, the baseline from which 2026 forecasts a 47% jump.
A 2024 MIT study found that for 77% of vision-based tasks, it is cheaper to employ humans than AI. NVIDIA's own VP of Applied Deep Learning admits that for his team, AI currently costs more than the employees it's supposed to replace. The economics just aren't there yet.
A 2024 MIT study found that for 77% of vision-based tasks, it is cheaper to employ humans than AI.
A survey of 6,000 senior executives found 90% of firms report zero AI productivity impact over three years. Meanwhile AI tools boost individual coder output by 290% on single files but only 30% at the company level — showing that lab results and real-world ROI are two very different things.
A survey of 6,000 senior business executives found that 90% of firms report AI having no impact on productivity over the last 3 years.
69% of firms actively use AI, with higher usage rates at younger, more productive firms, but adoption remains concentrated among small groups.
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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