Why Ethereum May Be the Biggest Winner of the AI Revolution w/ John Gillen
Speakers
Summary
- The "Catrini Article" (predicting a 2028 global intelligence crisis) has triggered market anxiety, causing selloffs in legacy software and payment stocks (e.g., IBM, Mastercard) due to fears that AI agents break their business moats.
- A massive rotation is expected: Capital is moving from traditional "Mag 7" tech stocks into assets that support the "Agentic Economy" (AI agents transacting autonomously).
- The US Government views the AI arms race as a matter of national security. Consequently, they will likely force liquidity into the market (via yield curve control or ESLR relaxation) to support massive AI Capex and upcoming IPOs (OpenAI, SpaceX), preventing a recession.
- While AI creates "abundance" in labor and content (driving their value to zero), it drives demand for "scarcity" (Bitcoin) and "digital settlement infrastructure" (Ethereum).
Trade Ideas
Legacy software and payment "moats" are being questioned by the market. "IBM had one of the largest single day selloffs... Mastercard sold off... the market is trying to figure out how AI coming into the marketplace impacts other companies and if it has broken the moat." If AI agents can code their own software or settle payments via crypto rails (bypassing Visa/Mastercard rails), the terminal value of legacy intermediaries collapses. The market is currently pricing in this existential risk. WATCH. The speaker suggests the selloff might be panic-driven, but acknowledges the structural threat is the narrative driving price. The "AI Doomer" narrative could be false, leading to a massive mean-reversion rally in these blue chips.
John Gillen
Host/Analyst, Milk Road Macro
The "Agentic Economy" requires digital rails for settlement, not traditional banking. "AI benefits digital assets... These new agents are going to be doing economic activity that is going to settle in either digital assets or in stable coins... They're going to need a system of identity of reputation." AI agents cannot open Wells Fargo accounts; they require permissionless, programmable money. Ethereum provides the settlement layer (collateral/capital asset), while Near Protocol (specifically mentioned regarding Nearcon) is building the user/compute interface for AI-crypto integration. As AI agents proliferate, transaction volume on these networks will decouple from human adoption. LONG. Ethereum is the "aircraft carrier" for AI commerce; Near is the tactical play. Regulatory crackdowns on autonomous agents or a failure of the "Agentic" thesis to materialize by 2026.
John Gillen
Host/Analyst, Milk Road Macro
In an age of AI-induced abundance, capital flees to provable scarcity. "Abundance is going to go to zero... Scarcity is what's going to be valued. That's what drives his thesis on Bitcoin." AI reduces the marginal cost of intelligence, code, and content to near zero (abundance). When labor and software are devalued, investors must store wealth in assets that cannot be inflated or reproduced by AI. Bitcoin is the absolute standard for digital scarcity. LONG. It acts as the hedge against the deflationary pressure of AI on the broader economy. Short-term liquidity crunches or macro volatility before the "scarcity premium" is fully realized.
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This Milk Road Macro video, published February 24, 2026, features John Gillen discussing IBM, MA, ETH-USD, NEAR-USD, BTC-USD. 3 trade ideas extracted by AI with direction and confidence scoring.
Speakers: John Gillen · Tickers: IBM, MA, ETH-USD, NEAR-USD, BTC-USD