PodcastAnthony Pompliano ShowJordi Visser

Is Bitcoin About to Shock Everyone in Q4?

The discussion weighs the economic and market implications of AI, from semiconductor revenue and compute constraints to the risk that falling token usage and prices could pressure model-lab revenue. Visser also links high rates to pressure on rate-sensitive sectors while arguing that the AI trade has pricing power, and points to rising institutional interest in crypto. Speakers see potential for Bitcoin and crypto demand to strengthen, citing the move above $82,000, possible investor rotation, and Q4 allocation decisions, while keeping some claims explicitly tentative.

BitcoinCrypto MarketsAI InfrastructureSemiconductorsInterest RatesTechnology Stocks

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Key Takeaways

The speakers say AI model performance is improving as models get cheaper, but lower token prices and usage could pressure model-lab revenue. Visser argues that sustained growth will depend on bringing in people who do not currently use AI, potentially replacing some reduced usage from existing customers.

Visser warns that AI usage could surge while compute remains insufficient, citing the Instinct founder’s reported difficulty accumulating capacity amid 10% daily growth. He argues that more compute could let OpenAI and Anthropic serve more companies and improve models, including those intended for physical sciences.

Visser uses the shift in revenue from Ford, GM, and homebuilders toward Micron and Nvidia to illustrate the economy’s growing semiconductor footprint; he says the former group had almost 20 times the latter pair’s revenue in 2015, but the pair now exceeds the former group combined. He also says technology-related companies make up 56% of the S&P 500, helping explain weak breadth when technology dominates.

TECHNOLOGY

Semiconductor Shift — Jordi Visser compares Ford, GM, and homebuilders with Micron and Nvidia. In 2015, the first group had nearly 20 times the pair’s annual revenue; now Micron and Nvidia alone have more revenue than Ford, GM, and homebuilders combined. He says the comparison illustrates the economy’s shift toward semiconductors.

“If you take the revenue for Micron and Nvidia in 2015, so 11 years ago, and you compare that to Ford, GM, and the Homebuilders, you're talking about Ford, GM…”—

Nvidia Growth — Visser says Nvidia’s expected revenue growth over the next year is almost as large as the revenue the company is expected to generate.

“But even worse than that, the expectations of revenue growth for the next year for Nvidia are almost the entire size of the revenue that will be generated.”—

AI Model Economics — The speakers say AI models are getting cheaper as their performance improves. One warns that model-lab revenue could face pressure if both token consumption and token prices fall, because revenue depends on tokens processed multiplied by the price per token.

“We also know Grok recently released their latest model and they showed a chart of performance and price. Everything is getting better performance and price is coming down…”—

ECONOMY

GDP And Rates — Visser says GDP is growing at 6.5%. He argues that rates would theoretically need to exceed that pace before investing or business activity became difficult to profit from.

“Now, that matters because GDP is growing at six and a half percent…”—

Housing Challenges — Visser expects homebuilders to face lasting challenges, citing demographic shifts and younger generations’ greater mobility. He says housing demand may take other forms, including apartments and Airbnb, while noting that the country does not have enough housing.

“I think home builders are going to have a tough time for ever. I think the economy is changing. I think demographics are changing…”—

Rate Stabilization — The speaker says rates may settle after core PCE, unemployment, and hourly earnings data came in below expectations. He argues rates do not need to fall if they stop rising day after day, which could affect sentiment after the midterms.

“We got a lower than expected PCE core. Now we got an unemployment number that came in weaker than expected with an hourly earnings that came in weaker than expected…”—

MARKETS

S&P 500 Technology — Visser says technology-related companies, including some classified in other sectors, make up 56% of the S&P 500. He argues that this concentration helps explain weak market breadth when technology companies dominate.

“Technology sector which is going to include software and semis you add in basically companies like Netflix and Google and Meta and Amazon and Tesla because they're technology companies, but…”—

AI And Rates — Visser argues that higher rates have little effect on the AI trade while compute prices remain high. He cites Micron’s 87% margins and the pricing power of Anthropic and OpenAI; this is his view of those businesses, not a general conclusion about technology stocks.

“And I've said repeatedly on everything I speak at, there is absolutely no sensitivity for rates in the AI trade. None. You can move it up a lot…”—

Rate-Sensitive Sectors — Visser says consumer staples, utilities, and real estate are trading at 52-week lows because higher bond rates pressure these rate-sensitive sectors. He characterizes them as synthetic bond positions.

“Consumer staples. True. Utilities, real estate, you know what those names are? They're all interest rate sensitive…”—

FORECASTS

Bitcoin Bull Trend — The speaker says Bitcoin’s move above $82,000 confirmed the bull trend, which is now underway, with fundamentals strengthening. The speaker expects the market could take off, citing lower-than-expected unemployment data.

“I said before when Bitcoin got above 82,000, that was the confirmation of the bull trend. I think we're in that…”—

Crypto FOMO — The speaker says new entrants are driving crypto’s bull market and predicts that FOMO will intensify very soon.

“I think most of what's driving crypto right now is a combination of new players coming in. This is what a bull market is about…”—

Intro

The host introduces Jordy Visser and frames a discussion about macroeconomic fears, AI's business outlook, crypto, portfolio positioning, and potential year-end market opportunities.

Why the macro doomers are wrong on rates

Visser argues that current rate concerns recycle outdated doomer narratives and says rates have normalized after the financial crisis, while a more diverse, technology-led economy changes the historical context.

Homebuilders, autos & the new economy

Visser says demographic shifts may weigh on homebuilders and contrasts the slower growth of housing and auto revenues with the surging scale and momentum of Micron and Nvidia.

Tech dominance & why AI ignores rates

Visser says technology's expanded S&P 500 share explains weak market breadth and argues AI firms have pricing power and little rate sensitivity, even as rate-sensitive sectors face pressure.

Are OpenAI & Anthropic slowing down?

The speakers debate whether falling token prices and usage threaten OpenAI and Anthropic revenue; Visser expects continued growth from agents, wider adoption, compute scarcity, and frontier-model demand.

The personal AI agent explosion

Visser describes growing personal-agent use and says agent swarms require fast, secure settlement; he argues crypto infrastructure and digital assets can enable machine-driven transactions.

Why AI agents need crypto

Visser says Wall Street interest is shifting from resistance to active inquiry as banks pursue tokenization and stablecoins, while agents provide a practical link between AI and crypto.

Wall Street FOMO for crypto

Visser says Bitcoin above $82,000 confirmed a bull trend and points to institutional interest, improving crypto fundamentals, softer economic data, and easing upward pressure on rates.

Bitcoin bull trend & this week's macro data

The speakers connect Q4 crypto prospects to allocator decisions for the next calendar year, possible FOMO, and an emerging baseline bid for major crypto networks and tokens.

Why crypto wins the fourth quarter

The host discusses potential rotation from AI gains into crypto and the convergence of AI and Bitcoin; Visser describes an equal-weight 46-name crypto ecosystem index and agent-enabled investing.

AI to bitcoin rotation & the VisserLabs index

The speakers say custom, agentic portfolios could simplify investing but raise unresolved regulatory and platform questions, including how rules apply to automated or decentralized trading.

The micron moment for crypto

Visser predicts tokenization, stablecoin payments, and AI agents could accelerate crypto adoption within a year, urging investors and advisors to study the opportunity before wealth-management clients demand access.

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Important Disclaimers

Not Investment Advice: For education only — not financial, tax or legal advice.

AI-Generated: Made by AI from source transcripts and may contain errors.

No Guarantees: Past performance does not predict future results; investing carries risk.

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