Scott Galloway cited Meta's 72% value collapse in 2022 as evidence that even elite tech companies can suffer near-total drawdowns, a warning for today's AI-inflated valuations.
Snapshot · Pivot
Scott Galloway cited Meta's 72% value collapse in 2022 as evidence that even elite tech companies can suffer near-total drawdowns, a warning for today's AI-inflated valuations.
Where this was said
At 59:15 · chapter starts 53:55
The conversation turns to a detailed structural analysis of the AI investment cycle. Scott invokes Palantir CEO Alex Karp and investor Mark Cuban as independently reaching the same conclusion: token costs are untenable, Chinese open models are eating frontier model consumption, and enterprises are pulling back on AI budgets. [1] — Scott Galloway "In the dot-com crash, it went B2C first, then B2B, then infrastructure. Scott Galloway sees the same pattern now: AI application spending i…" 53:50 Scott maps the dot-com analogy carefully: in 1999, everyone invested in the application layer (Amazon, eToys, Pets.com), found insufficient demand, then piled into infrastructure (Cisco, telcos) — which subsequently lost 93% of its value. Today's sequence: AI application demand is stalling, Meta and xAI have already announced they overbuilt for their own LLM needs and are now renting out capacity, and the transition from supply crisis to demand crisis happened in roughly 30 days. The B2C names will be hit first, then B2B, then infrastructure — NVIDIA, Cisco-style. Evidence: OpenAI and Anthropic are reportedly considering delaying their IPOs.
PropGPT averaged 20 downloads per day right after launching on the App Store through influencer marketing.
Eyal and Yali shut down all marketing and spent 4 months completely rebuilding PropGPT from scratch.
PropGPT has accumulated over 40,000 total downloads since launch.
PropGPT's large language model (AI) operating costs are just $20 per month, and the cost is continually falling.
Ad-based monetization works well for game apps where users spend extended time in-session, as seen with Grid and Wordle.
Tool-focused apps like PuffCount are poor candidates for ad monetization because users don't stay in-session long enough.
A hard paywall is a screen that blocks all app features unless the user pays or starts a free trial — it cannot be dismissed.
Mobile apps are primarily monetized through either ads (best for games) or in-app purchases/subscriptions (best for tools).
According to the episode, YouTube outperforms every other social platform for building trust and driving SaaS conversions.
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