Jordi Visser joins the show to explain why Bitcoin's price consolidation is a silent IPO, not a stalling bull run: OGs distributing into institutional and global demand, AI replacing QE, and the energy transmission problem nobody is pricing in.
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I've been watching the sentiment on X crater in real time. People calling for $80K, some reaching all the way down to $60K, 18 months past the halving with the most pro-Bitcoin administration in history in office. And I get it, sort of. The price isn't doing what anyone modeled. But I've never been more personally bullish than I am right now, and this conversation with Jordi Visser is a big part of why.
I watch Jordi's Sunday show most weeks before 10:30 mass. I told him that straight to his face on tape. His framing is the kind that gives macro scaffolding to things I've been watching on the ground, in mining, in the merchant infrastructure buildout, in the energy constraints. When he wrote his piece on Bitcoin's silent IPO moment, I knew I had to get him in here, because it's the most compelling answer I've seen to the question everyone's asking: why is price lagging when everything else is going right?
The short version is this: it's distributing, not lagging. And what comes after distribution looks a lot like what happened after the dot-com bust cleared the wreckage. Google IPO'd in August 2004. Salesforce IPO'd in June 2004. Neither of those looked like the obvious winners in the middle of the consolidation. This is that moment for Bitcoin.
Jordi ran an index book and the ETF desk at Morgan Stanley during the dot-com bubble. He was at the center of it. So when he says today's AI situation is not comparable to 1998-2000, I take that seriously. He watched those stocks get knocked down and watched the NDX take well over a decade from the lows to recover to all-time highs, and even longer from the peak.
His read is that Bitcoin is now in the equivalent of the post-bust consolidation period. The bubble cleared. The serious projects survived. And the next breakouts, the ones that define the next two decades, are forming right now in a period of compressed volatility that feels like nothing is happening.
"All of this selling that's been happening, that's trapped the price, that the decline in volatility, reminds me a lot of what happened after finally the dot-com bubble reached a point and Google came out as an IPO in 2004, and so did Salesforce. Those things have gone off to just massive importance over the world."
The OGs who built positions when Bitcoin required fighting governments, fighting nonbelievers, and fighting every instinct in traditional finance. Those people are doing portfolio construction now. If you're sitting on $9 billion in a single asset and you're starting a new portfolio today, you don't buy $9 billion of that asset again. You diversify. That's rational. It's not bearish. It's what happens when early investors who took the most asymmetric risk in history reach a point where normal capital allocation logic kicks in.
Jordi's framing crystallized something I've been saying in a less precise way: this is bullish distribution. The supply that was previously held in relatively few hands is moving to many more hands with different time horizons. Those hands are likely to hold longer before they do anything with it, because they came in with different expectations and different needs. That's not a ceiling. That's a base.
Jordi breaks the incoming demand into three buckets, and it maps well to what I'm watching from the ground.
The first is institutional adoption. Pensions, banks, ETFs: this is the slow, inevitable tide. It's in motion and nothing is stopping it. The compliance infrastructure is being built, the custody solutions exist, the regulatory clarity is improving. This isn't a prediction anymore, it's a process.
The second is the developed-world trading mentality. US and European participants, in Jordi's read, treat Bitcoin as a trading asset. Sentiment drives them in and out. When price is flat, they go find something else. This cohort is the source of most of the bearish chatter on X right now. But they come back when momentum returns, and they'll be back.
The third buyer is the one that I think is most important over the next decade: the developing world. Jordi lived in Argentina and Brazil for stretches of his career. He makes the point that real debasement, the kind that destroys savings across a generation, is not what Americans are experiencing. People in those countries own Bitcoin. They're not trading it. They're saving in it, the same way Michael Saylor describes, hiding wealth from governments that have spent decades confiscating value through inflation. Stablecoins serve the remittance and transaction function in those markets; Bitcoin serves the savings function.
On top of that three-part picture, I added two infrastructure moments Jordi hadn't mentioned that I think are material. Square's rollout giving around 4 million US merchants the ability to receive Bitcoin payments or automatically convert a portion of cash flows to Bitcoin. Even if only a fraction of those merchants turn it on at even modest percentages, that's a real and growing bid that compounds over time. And Zelle's effective creation of a digital wallet for a generation that would never have opened one otherwise. Jordi's analogy: once someone opens a DraftKings account, they can't watch a game without a bet on it. The behavioral barrier just dropped for a cohort that controls an enormous share of net worth in this country.
The infrastructure is getting built out. That's why I said it on tape and I'll say it here: I've never been more bullish, personally.
This is the part of Jordi's thinking that I find most useful for explaining to people why the macro setup for Bitcoin is actually stronger than it looks, even without a new Fed easing cycle.
The 2010-2019 playbook was financial engineering. ZIRP meant companies could issue debt at near-zero and buy back their own stock at a 6% earnings yield. That spread was free money. Stack on top of that the private equity, private credit, and commercial real estate bubbles that ZIRP enabled, and you had a decade of earnings-per-share growth that was mostly financial, not operational.
That cycle is over. Rates aren't going back to zero on any reasonable timeline. But the economy is still growing. Why?
Jordi's answer: AI-driven operating efficiency. Companies are reducing headcount not through mass layoffs but through attrition. With US household net worth where it is, a meaningful number of workers are simply choosing not to re-enter the labor force. Older workers age out. Immigration policy changes are reducing the pipeline of replacement labor. Jordi estimates this amounts to roughly 300,000 jobs leaving the labor force annually through natural attrition alone, his estimate, based on his own model, not a published BLS figure.
Into that gap, AI steps in. You don't need to hire as many people to grow earnings. The efficiency gains that produces are more than one-for-one in some cases. And that earnings growth is what keeps equities up and crypto bid, even without a new QE cycle. The new liquidity is coming from productivity, not the Fed's balance sheet.
CoreWeave reported earnings the morning Jordi and I recorded this. Stock was down around 15% on the day. On the earnings call they talked about insatiable demand and then, in the same breath, lowered their capex guide by around 40% because of bottlenecks. Jordi was writing a paper on it in real time. That tension (demand is real, but the build-out is constrained) is the thing investors need to understand heading into next year.
This is where I can speak with real conviction, because I've been inside Bitcoin mining professionally for six years.
The meme inside the mining industry for the last several years has been capacity, capacity, capacity. Build out, build out, build out. Megawatts, megawatts, megawatts. And that buildout has been real, especially in Texas. But while everyone was staring at the capacity number, transmission has been quietly neglected.
FERC dropped a report recently flagging the same gap. The ability to actually move power from where it's generated to where the data centers are is becoming a separate and serious constraint from generation capacity itself. That's not a new problem in the mining world, but it's now showing up at AI-infrastructure scale, and the investment community hasn't fully priced it.
Jordi added the demand-side version of the same bottleneck. Tariff-related delays this year hit transformer procurement hard. Oracle has flagged capacity constraints. GE Vernova has talked about delays on gas turbines. And CoreWeave's capex guide-down the morning of our recording was a live example of the same phenomenon: insatiable demand, but the physical infrastructure to serve it isn't arriving on schedule.
"Dead GPUs are the ones that can't be plugged in because the energy isn't there."
That's Jordi's line, and it's exactly right. The chips aren't the binding constraint. The wires are.
For investors: this bottleneck has implications for some names that have traded well this year. Nuclear, uranium, some of the data center-adjacent names. Jordi's read is that the market will start rewarding earnings-growth stories where revisions are going up and penalizing companies taking on debt against a build-out timeline that keeps slipping. Energy as a theme is where he'd focus for next year, and from where I sit in the mining world, that is exactly the right call.
The part of this conversation that I think is most important for people who are tuned into the Bitcoin thesis but not fully thinking through the social dynamics. This is it.
Jordi's point is not that people are going to lose jobs overnight. His point is subtler and harder. The psychological damage is underemployment, not unemployment. You spent four years and a lot of money on a degree that was supposed to lead somewhere, and the path forward in that field is closing because AI is taking it. That damage is real and it's already happening, and it will accelerate.
At the same time, the Uber and DoorDash second jobs that millions of people depend on to cover the gap between their wage and their actual cost of living. Those are about to be undercut. Jordi's estimate is that there are around 3 million people in the US employed inside automobiles, combining rideshare and truck driving. Once robo-taxis remove the safety driver and a consumer can choose between a $25 Uber and a $5 autonomous ride, the choice is going to be obvious. People in inflation-hammered cities aren't going to pass up 70% savings out of solidarity.
I spoke at Penn last week, panel at the Penn Republicans Club. One of the students, a finance major with a Goldman internship lined up, followed up with me afterward asking what he should do. My honest answer: study Bitcoin, study AI, don't feel like you have to have it all figured out at 21, and don't be afraid to make mistakes. We live in times where adaptability is the most valuable skill, not a specific credential. That's not the most comforting advice to give a kid who's done everything right, but it's the true one.
The political dimension of all this worries me. When I look at what's driving the political atmosphere right now, from Mamdani-style democratic socialism taking hold in New York on one end to people looking for a strongman to fix things on the other, the K-shaped economy is the engine underneath both. That's what Schumpeter was describing when he wrote about capitalism consuming itself and socialism rising in its wake. What he didn't get to write about was AI getting to a point where the democratization of intelligence drives the cost of everything toward zero. That's the end state Jordi is pointing toward, and it's the one that makes Bitcoin's long-term role clear.
The one thing I'll add, because I said it on tape and I mean it: the people building the good things need to be rewarded for it. That's not a political statement, it's just logic. The Tesla shareholder vote, the Elon compensation package, the politician who went after it and got quoted back at. That whole episode mattered because the message in a capitalist democratic society is supposed to be simple: execute well, get rewarded. When that message gets drowned out by political noise from people who are in pain from a K-shaped economy that they didn't create, you get policy that punishes the builders. That's the one scenario outside of energy constraints that I think could actually impede the path forward.
On the healthcare piece: I opted out of traditional health insurance four years ago and joined CrowdHealth. I've had two children since, a couple of health events, and CrowdHealth has been there. We went from paying $1,800 a month on Cobra as a family of three to around $900 a month as a family of five with CrowdHealth and direct primary care. When Jordi talks about AI disrupting doctors and lawyers, I believe it. But the health insurance cartel is a separate problem, and I already opted out of it. You can too.
Jordi runs through the company-level picture and his picks are specific.
On the LLM side, his read is Google. They're the only company with a credible GPU competitor to Nvidia, which means they're the only one that doesn't depend entirely on Nvidia's supply chain for their training infrastructure. Demis Hassabis's public posture, the Gemini product, the resources. Jordi likes the setup.
He's far more cautious on OpenAI. His framing is a Kentucky Derby AI bubble race, and OpenAI shows the signs of a company that's biting off more than it can chew. The "mutiny" history, Masa Son's involvement, Sam Altman's response on the BG2 Pod to Brad Gerstner's question. Jordi was at a dinner in Boston the week of our recording and the portfolio managers around that table spent real time on that response. It wasn't a good look, by his account or mine.
"His comments on the BG2 Pod were a bit perplexed. A lot of hubris in the response to Brad."
The physical-world side is where Jordi gets most animated. Tesla, in his read, has a 20-year head start on autonomy that nobody else can replicate. The Gigafactory scale, the vision-based autonomy approach that interacts with the real world rather than geo-fencing like Waymo, the Optimus humanoid timeline. If the TAM on robo-taxis and humanoids is real, Jordi's view is that nobody is positioned to compete with Tesla on it. He notes that Tesla and Bitcoin market caps are currently very close to each other, and that the traditional finance world that won't believe in Bitcoin also won't believe in Tesla. He finds that symmetry interesting and so do I.
Nvidia he describes as the canary in the coal mine. The stock looks too cheap for the moat it actually has, and if it starts to break down, that's the signal that something real is wrong in the AI investment thesis. So far it hasn't.
His hot take from a prior appearance that he stands by: no public companies by 2030. AI is gobbling everything and capitalism is consuming itself. The entrepreneurs and private companies win. He still believes it.
The through-line Jordi draws is the one I find most compelling as a framing for what this whole moment is about.
Bitcoin, the Internet, and mobile all represent exponential decentralization and democratization, not just inside wealthy countries but at global scale. Jordi spent time in Brazil. He went to weddings in the favelas. He's seen what real poverty looks like, and he's seen what it means for someone in that position to have access to a savings technology that governments can't debase and that doesn't require a bank account.
When he recounts a conversation he had with Michael Milken around 2019, in Milken's California library, the moment that reoriented his thinking is worth understanding. Jordi kept pressing the case that the dollar would weaken, and by his recollection Milken finally said: the dollar isn't a currency, the dollar is a belief. If you opened the borders and gave every person on the planet one day to become a citizen, 7 billion people would show up tomorrow. That reframe, Jordi says, made him stop betting on dollar weakness as the Bitcoin driver. What he landed on instead: Bitcoin's real driver is exponential innovation, not debasement. Debasement is real and it matters, but it's the symptom, not the root cause.
The root cause is that humans keep building things that decentralize power and democratize access. The Internet did it. Mobile did it. Bitcoin is doing it. AI is about to do it at an order of magnitude beyond anything we've seen. And in a world where the cost of intelligence itself is falling toward zero, where goods and services get cheaper year over year rather than more expensive, the monetary layer that benefits from deflation rather than requiring inflation to survive is Bitcoin.
That's why I keep coming back to what Jordi says almost at the close of our conversation: Bitcoin is the purest AI trade. A lot of people hear that and don't see the connection. I've heard that all my life about the things I've believed in before they were obvious. Few do.
Jordi Visser coined the phrase to describe the current period in Bitcoin's market cycle. Early holders, the OGs who accumulated when Bitcoin required fighting governments and nonbelievers, have reached a point of rational portfolio diversification. Their selling has suppressed price and volatility, but the supply they're offloading is being absorbed by institutions, developed-world traders, and developing-world savers. Jordi compares it to the post-dot-com consolidation period before Google and Salesforce IPO'd in 2004 and went on to define the next two decades of the web.
The distribution process Jordi describes is the primary reason. OGs offloading large positions into an expanding but still-maturing buyer base creates a lid on price even when underlying demand is growing. This is normal supply-and-demand mechanics during a transition phase, not evidence that the thesis is broken. Marty frames it plainly: you're distributing concentrated supply to many more hands with longer time horizons, and that is structurally bullish for where price goes when the distribution phase ends.
The 2010-2019 economy ran on financial engineering: ZIRP allowed companies to issue cheap debt and buy back stock, generating earnings-per-share growth without real operational improvement. That cycle is over. Jordi's argument is that AI-driven productivity gains have replaced it. Companies are replacing workers through natural attrition and AI adoption, growing earnings without the balance-sheet games. That productivity gain is what's keeping equities and Bitcoin bid, without the Fed needing to expand its balance sheet.
Capacity and transmission are two different things, and the AI infrastructure buildout has overindexed on the first while underinvesting in the second. Building megawatts of generation capacity doesn't help if the transmission lines to get that power to data centers aren't there. Marty has been watching this problem inside Bitcoin mining for six years. FERC published a recent report flagging the transmission gap. Delays in transformer procurement from tariff disruptions, plus gas turbine backlogs, are compounding the problem heading into 2026.
Jordi's view is that the displacement will arrive faster than almost anyone is pricing in, because consumer economics will force it. Once autonomous vehicles are operating safely and legally, the price differential between a robo-taxi and a human-driven Uber becomes undeniable. In cities already hammered by inflation and affordability problems, consumers will choose the cheaper option regardless of what regulators in blue or red states prefer. He puts around 3 million US workers in transportation-related roles in the direct path of this disruption.
Jordi's answer is no, and he's one of the people best positioned to compare the two. He ran Morgan Stanley's index book and ETF desk during the actual dot-com bubble. His read is that there's no comparison to the speculative froth of 1998-2000, where revenues and real use cases were almost entirely absent. The leading AI companies have real margins and real demand. The better analogy, in his view, is the post-bust consolidation that led to Google and Salesforce emerging as the defining companies of the next era, not the speculative peak that preceded the crash.
Jordi's picks are specific. On the LLM side: Google, because they're the only major player with a credible in-house GPU alternative to Nvidia via their TPUs, which reduces their supply chain dependency. On the physical-world side: Tesla, because of the two-decade head start Elon has in autonomous driving and the Gigafactory-scale manufacturing infrastructure needed to build humanoids at volume. He's cautious on OpenAI for reasons related to management posture, capital requirements, and the concentration of risk around a company that hasn't yet proven it can monetize its user base at the scale its spending requires.
Jordi Visser is an investor and macro analyst who spent decades in traditional finance, including running the index book and ETF desk at Morgan Stanley during the dot-com era. He founded and ran a hedge fund before stepping back to focus on independent research, writing, and weekly video analysis. He publishes on Substack and produces a weekly market and macro show that covers Bitcoin, AI, and the broader economic picture. He has spent time living in Argentina and Brazil and attended Singularity University. He is a recurring guest on TFTC.
