AI companies are spending against a future of demand that isn't materializing. The data center buildout — backed by Washington's political bet on AI — will not continue at the same rate. Galloway predicts demand will collapse.
Podbit · The Prof G Pod with Scott Galloway
AI companies are spending against a future of demand that isn't materializing. The data center buildout — backed by Washington's political bet on AI — will not continue at the same rate. Galloway predicts demand will collapse.
Where this was said
At 11:26 · chapter starts 7:48
This section is pure Galloway data-journalist mode. A 2026 NBC poll shows 46% of registered voters hold negative feelings toward AI versus only 26% positive. Pew finds just 10% of US adults are more excited than concerned, while 50% are more concerned — up from 37% in 2021 [1] — Scott Galloway "Two-thirds of people globally use AI regularly, but willingness to trust it has fallen from 52% to 43% since 2022. Only 10% of US adults ar…" 08:08 . Yet two-thirds of people globally use AI regularly, revealing a striking paradox: usage keeps climbing even as trust collapses. Galloway then offers two historical analogies. Nuclear power's brand fell to 49% public support in 2019 but bounced to 61% by 2025 — not from PR, but because Google, Microsoft, Meta, and Amazon needed nuclear for their AI data centers, making the technology feel necessary again [2] — Scott Galloway "Nuclear power's support fell to 49% in 2019 but climbed back to 61% by 2025 — not through a PR campaign, but because tech giants needed it …" 09:25 . The Facebook-Cambridge Analytica scandal provides the second case: privacy trust cratered from 79% to 28%, yet Facebook's monthly active user count still grew 2%. The implication is unsettling — brand damage rarely kills the economics, so AI companies may not even need to fix the trust problem to survive.
A 2026 NBC poll found 46% of registered voters hold negative feelings toward AI, versus only 26% positive.
Two-thirds of people globally use AI regularly, but willingness to trust it has fallen from 52% to 43% since 2022. Only 10% of US adults are more excited than concerned. The gap between what people use and what they trust is widening fast.
Pew Research found only 10% of US adults say they're more excited than concerned about AI in daily life.
Pew found 50% of US adults are more concerned than excited about AI in daily life, up from 37% in 2021.
Two-thirds of people globally use AI regularly, but only half are willing to trust it, and just 39% in advanced economies.
Since 2022, willingness to rely on AI has fallen from 52% to 43% even as adoption has surged.
Nuclear power's support fell to 49% in 2019 but climbed back to 61% by 2025 — not through a PR campaign, but because tech giants needed it for AI data centers. AI's redemption arc, if it comes, will follow the same path: necessity first, understanding second.
Support for nuclear power fell to 49% in 2019 but recovered to 61% by 2025, driven not by PR but by necessity as tech companies pledged nuclear power for AI data centers.
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Avnish grew his solo business to $25,000 per month in just 15 months without spending a dollar on ads. His entire growth engine was built on community posts in Reddit and Facebook groups.
One well-crafted post in the right community took Avnish from single thousands of users to tens of thousands. This wasn't luck — it was a repeatable part of his 5-step playbook.
Most founders chase paid ads and influencer deals, but Avnish's growth came entirely from knowing where his users already gathered online. Dominating Reddit and Facebook groups — for free — was his entire strategy.
The dominant mobile monetization flow is simple: free download, onboarding, then a hard paywall that blocks all features until the user pays or starts a trial. It's unskippable by design — and that's exactly the point.
Switching PuffCount to a hard paywall and requiring a free trial before any feature access sent conversion rates soaring to 20–25%. One structural change to the payment flow — no new features, no new users — transformed the business.
Vasco is so confident in YouTube that he'll personally PayPal $500 to anyone who posts for 45 days and doesn't make $5,000. This isn't hype — it's a distillation of his own experience growing an AI app to $70K/month using nothing but daily videos.
Vasco's AI app went from zero to $70,000 a month in just two years. The entire growth engine was YouTube — one video a day, nothing fancy, no expensive tools. Most of his users came directly from the channel.
People buy from people they know, like, and trust. YouTube is the only platform that builds all three at scale — and Vasco's $1M business is the proof of concept.
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