Bitcoin could end up higher under three very different artificial-intelligence outcomes, according to Bitwise Chief Investment Officer Matt Hougan. In his Oct. 14, 2026 memo, Choose Your Own (Macro) Adventure, Hougan argues that an AI productivity boom, an AI investment-bubble collapse and a moderate-growth soft landing each create a different route to stronger Bitcoin demand or greater appreciation of its fixed supply.
This is an investment thesis, not a price forecast. Hougan does not provide a target price or a quantified probability model for Bitcoin. His argument also allows for severe losses before any long-term benefit.
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Hougan’s three-path Bitcoin thesis
The core claim is that Bitcoin “wins by showing up”: its investment case does not depend on one specific AI outcome. The mechanism changes with the macro environment, while Bitcoin’s limited supply and growing ownership channels remain central to the argument.
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| Scenario | Macro trigger | Policy response | Why Hougan expects Bitcoin to benefit | Near-term path and key risk |
|---|---|---|---|---|
| AI boom or “superabundance” | AI sharply raises productivity and GDP, making many services much cheaper | No bailout is required in the scenario | Value shifts toward genuinely scarce assets, including Bitcoin | Potentially positive over the long term; the risk is that investors reject scarcity assets or that the boom produces destabilizing side effects |
| AI bust and recession | Data-center borrowers default and insurers face losses on AI-linked bonds, causing a recession reminiscent of 2008 | Hougan says a government bailout would be “nearly 100%” likely, followed by monetary expansion | Bitcoin could recover from an initial panic sale and rally as the money supply expands | Sharp initial decline is possible; the thesis depends on the scale and credibility of the bailout and on Bitcoin surviving the liquidity shock |
| Muddle-through or soft landing | About 3% economic growth and 4% interest rates, with AI-related debt serviced | Policy remains comparatively normal rather than crisis-driven | Existing demand sources continue: exchange-traded-fund flows, adviser adoption, and corporate and sovereign balance-sheet allocations | Gradual demand-led appreciation is the thesis; weaker flows or less institutional adoption would undermine it |
If AI creates “superabundance”
Hougan’s bullish AI scenario assumes software, legal work, design, pharmaceuticals and diagnostics become substantially cheaper as AI lifts productivity and overall output. When more goods and services become abundant, he argues, capital may seek assets that cannot be produced at the same rate.
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He places Bitcoin in the same broad category as waterfront land, great art and gold: assets whose scarcity is difficult to replicate. In this framing, an AI boom does not make Bitcoin obsolete. It could increase the premium investors place on a digitally scarce asset, particularly if economic growth generates more wealth to allocate.
The argument is about relative scarcity, not a claim that Bitcoin automatically rises during every technology boom. A sustained boom could also keep interest rates high, redirect capital into productive businesses or reduce demand for alternative stores of value. Those possibilities are among the reasons the scenario should be read as a thesis rather than an established relationship.
If the AI bubble bursts
The crash scenario is more complicated than “Bitcoin is a recession hedge.” Hougan expects Bitcoin to sell off first because a disorderly unwinding of AI investment would likely trigger a broad liquidity event. His example involves heavily indebted data-center projects defaulting and insurers coming under pressure from AI-linked bonds, producing a downturn he compares with 2008.
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He then expects policymakers to respond with an exceptionally large rescue. Hougan’s stated estimate is that a government bailout would be “nearly 100%” likely because the AI buildout is, in his words, “the biggest infrastructure investment in the history of America.” His conclusion is that the resulting expansion of the money supply could eventually drive Bitcoin higher after the initial panic.
That sequence matters: the thesis does not promise protection on the day an AI bubble breaks. It predicts a potential two-stage path—large drawdown, followed by recovery and a strong rally if fiscal and monetary support expands liquidity and investors seek assets outside the traditional financial system.
If the economy muddles through
Hougan’s middle case assumes roughly 3% growth and 4% interest rates, with companies able to service AI-related debt and the economy approaching a soft landing. There is no emergency bailout or sudden scarcity shock in this version.
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Instead, Bitcoin depends on the continuation of adoption channels already visible in the market: ETF purchases, financial-adviser participation, and allocations by corporations and sovereign entities. If those flows persist while monetary conditions remain manageable, demand can rise without an AI crisis or an extraordinary productivity boom.
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Bitcoin’s history supplies a clear warning against interpreting Hougan’s conclusion as a promise of steady gains. He cites the roughly 50% decline Bitcoin suffered in a matter of days during the early-2020 COVID panic. A similar liquidity shock could occur in an AI-driven crisis, even if policymakers later provide support.
- Bitcoin can fall with risk assets before any bailout or monetary expansion takes effect.
- A bailout may stabilize banks and infrastructure without sending new capital into Bitcoin.
- ETF flows, adviser adoption and institutional allocations can slow or reverse.
- Scarcity alone does not determine price; regulation, custody, leverage, competition and investor sentiment also matter.
- AI outcomes themselves are uncertain, and Hougan’s “nearly 100%” bailout figure is his qualitative estimate, not an independently verified probability.
The Block’s reporting presents the 3% growth, 4% interest-rate and 50% drawdown figures as scenario assumptions or historical examples associated with Hougan’s comments. They are not independent forecasts.
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What “every path ends with Bitcoin higher” means
Hougan’s statement—“As I see it, every path ultimately ends with bitcoin higher”—is best understood as a long-horizon portfolio argument. In a boom, he emphasizes scarcity. In a bust, he emphasizes the monetary consequences of a rescue. In a soft landing, he emphasizes ongoing adoption.
The common thread is that Bitcoin remains available as a non-sovereign, fixed-supply asset while the surrounding economy changes. Whether that produces higher prices depends on investors acting on the thesis, not merely on AI investment spending or government money creation.
Questions investors should ask
Will Bitcoin benefit if the AI bubble bursts?
Hougan expects an initial selloff, then a potential strong recovery if a large bailout expands the money supply. The timing, size and effectiveness of that response are uncertain.
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Is Bitcoin a hedge against an AI recession?
Not reliably during the first phase. Hougan’s scenario requires investors to look past a recessionary liquidation and toward the possible monetary response that follows.
Does an AI boom make Bitcoin less valuable?
Hougan argues the opposite: if AI makes many goods and services abundant, assets that remain scarce could become more valuable. That is an argument about relative scarcity, not a guaranteed market outcome.
Can Bitcoin rise in a soft landing?
Yes, under Hougan’s assumptions, if ETF flows, adviser adoption and corporate and sovereign allocations continue while growth is about 3% and interest rates about 4%.
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