Jordi Visser: Bitcoin is built for AI abundance, but he sees a 12-month ETH lead
The macro investor also sketched a $100 trillion digital-asset market with Bitcoin at 33% share and said he has never sold BTC.
Macro investor Jordi Visser argued that Bitcoin is structurally positioned to benefit from an AI-driven economy because AI can create abundance but cannot create scarcity. In the same discussion, he called for Ethereum to outperform Bitcoin over the next year on tokenization and stablecoin growth while keeping Bitcoin as his highest-conviction long-term hold.
Key Takeaways
- Jordi Visser called Bitcoin “the only asset built to win in a world where AI creates abundance but cannot create scarcity.”
- He framed a long-run market sizing view where digital assets reach at least $100 trillion and Bitcoin holds at least 33% of that value.
- Visser said he has never sold a single Bitcoin and does not plan to start.
- He expects Ethereum to outperform Bitcoin over the next year, tying the relative call to tokenization and stablecoin adoption.
Visser’s AI-Abundance Thesis Puts Bitcoin in the Scarcity Seat
Visser’s core mechanism is simple: AI increases the supply of many economic “goods” by making production, distribution, and decision-making cheaper, but it does not manufacture scarcity. In that setup, he argues the asset that wins is the one whose supply cannot be replicated, inflated, or competitively produced away.
On The Journeyman podcast, Visser put Bitcoin in that slot, calling it “the only asset built to win in a world where AI creates abundance but cannot create scarcity.” He framed BTC as the digital analogue to gold, arguing it fills the scarcity-hedge role in a digital economy “the same way gold once did in the physical one.”
He also tied the narrative directly to the pace of AI disruption, saying he views Bitcoin as “directly tied to the pace of AI disruption rather than separate from it.” That is a directional claim rather than a measured linkage in the excerpt. There is no data in the discussion summary that maps AI adoption rates to BTC flows, volatility, or correlations.
The $100T Digital-Asset Framework—and What 33% BTC Share Implies
Visser paired the scarcity framing with a big top-down sizing view: “the digital asset world reaches at least $100 trillion, Bitcoin holds at least 33% of that market, and the math does the rest.” Mechanically, that is a two-parameter model. Total market size sets the pie, and BTC share sets the slice.
The catch is that the excerpt does not provide the intermediate assumptions that would make the framework tradeable as a model. There is no time horizon for the $100 trillion figure, no adoption curve, and no breakdown of what counts as “digital assets” in the total. Without those, the framework reads as a high-conviction directional anchor rather than a forecast you can update quarter to quarter.
Visser’s personal positioning is the conviction signal that makes the framework legible. He said “He has never sold a single Bitcoin and has no intention of starting.” That is not a tactical call around a cycle. It is a long-duration hold posture, consistent with the idea that BTC is the scarcity asset you own through the AI-driven reshaping of cash flows and business models.
Why Visser Thinks ETH Can Beat BTC Over the Next 12 Months
Visser’s barbell is explicit: Bitcoin is the long-term scarcity hedge, but Ethereum is the nearer-term relative-performance bet. He said he expects Ethereum “to outperform Bitcoin over the next year specifically because of the tokenization and stablecoin boom.”
Tokenization, in his framing, is the migration of real-world financial assets like stocks, bonds, or funds onto a blockchain so they can be issued, traded, and settled digitally. Stablecoins are the settlement layer in that world, crypto tokens designed to track a stable value, often $1, and used for trading, payments, and on-chain settlement. If both grow, the mechanical implication is more on-chain activity that needs blockspace and execution.
Visser described Ethereum as “a commodity tied to blockchain compute demand,” and argued that trust built over years makes it “the natural choice for banks and financial institutions entering the space.” That is the institutional adoption path: not “ETH because narrative,” but ETH because the rails that institutions choose drive compute demand.
He also signaled a broader portfolio view, saying he holds Zcash for its “privacy narrative.” It is a reminder that his framework is not strictly two-asset maximalism. It is BTC as the scarcity anchor, ETH as the adoption and settlement throughput trade, and a smaller privacy sleeve.
Confirmation Signals Traders Can Track in Stablecoins and On-Chain Asset Issuance
Visser tried to cool the rate-driven risk-off story by arguing the bond market is not behaving like a crisis. He said “U.S. 20-plus year Treasury ETFs are only down 3% year-to-date,” and called the “bond yield panic” overblown, attributing higher yields to strong nominal GDP, record profit margins, and early-stage AI productivity rather than systemic stress. Nominal GDP is output measured in current dollars, including inflation. 20-plus year Treasury ETFs are funds holding U.S. government bonds with maturities longer than 20 years, which tend to be sensitive to interest-rate changes.
Because the specific ETF(s) and the as-of date are not named in the excerpt, that -3% figure is best treated as directional context, not a precise cross-asset signal. A follow-up that identifies the exact ticker(s) and timestamp would make the macro claim easier to verify.
For the ETH-over-BTC window he’s calling, the confirmations are more concrete. Stablecoin supply growth and new issuance trends are a proxy for on-chain settlement demand, which is the catalyst he ties to Ethereum’s relative strength. Separately, visible increases in tokenized debt, equities, and other real-world assets would validate the “tokenization and stablecoin boom” as more than a conference circuit theme.
Visser also framed tokenization as state-level competition, saying “tokenization is becoming a geopolitical race as critical as AI itself,” and warning that countries that fail to put assets on-chain risk “deeper and less liquid capital markets over time.” He pointed to Robinhood as “the perfect middle-ground platform merging traditional finance with crypto,” and said capital velocity could increase sharply once tokenization reaches mainstream adoption across “debt, equities, and real-world assets.” If Robinhood expands or more explicitly highlights TradFi-to-crypto rails consistent with that thesis, it would be a clean, observable datapoint that the distribution layer is moving.
My Read: This Is a BTC Narrative With an ETH Catalyst Window
The threshold that matters here is whether tokenization and stablecoins translate into sustained, visible settlement demand rather than periodic announcements. Visser’s BTC claim is a narrative that can persist without near-term proof because scarcity is a long-duration story, but his ETH call is explicitly time-bounded to “over the next year” and needs throughput evidence to stay credible.
If stablecoin issuance accelerates and tokenized asset activity becomes routine enough to show up as a trendline, the setup starts to look structural rather than narrative-driven. If those metrics stay flat while the macro story leans on unnamed “20-plus year Treasury ETFs” and broad AI optimism, the BTC framing can still hold, but the ETH catalyst window closes into a sentiment trade instead of an adoption trade.
