Key Takeaways
Could Bitcoin reach $11 million per coin by 2036?
That’s the bold projection from Joe Burnett, a longtime Bitcoin analyst, who argues that the interaction between artificial intelligence (AI), monetary policy, and digital scarcity could drive Bitcoin to eight-figure territory within a decade.
Not everyone agrees. Giovanni Santostasi, the creator of Bitcoin’s popular “power law” price model, says the math points to a price closer to $2 million, not $11 million.
The debate highlights two very different ways of thinking about Bitcoin’s future: one rooted in macroeconomic shifts, the other grounded in statistical modeling.
Burnett’s argument begins with a simple claim: AI will create powerful deflationary pressure across the global economy.
As artificial intelligence automates white-collar jobs, compresses corporate margins, and lowers production costs, prices for many goods and services could fall. Historically, major productivity shocks, like electrification or the automobile, have disrupted labor markets and slashed costs.
But in today’s debt-heavy system, deflation is dangerous. When wages and asset prices fall, but debts remain fixed, defaults rise and credit markets strain.

Burnett argues policymakers will respond the only way they know how: by expanding liquidity.
Lower interest rates. Larger central bank balance sheets. More fiscal stimulus.
In his framework, the future equilibrium looks like this: persistent productivity deflation plus persistent monetary expansion. And when liquidity expands, it needs a destination.
Burnett believes Bitcoin, with its fixed supply of 21 million coins, is the prime candidate.
At $11 million per coin, Bitcoin’s market value would reach roughly $230 trillion. If global financial assets grow from about $1 quadrillion today to nearly $2 quadrillion by 2036 (assuming 7% annual growth), Bitcoin would represent around 12% of global financial assets.
In his view, Bitcoin doesn’t need to replace fiat currency. It simply needs to become the dominant long-term savings asset in a world where the money supply keeps expanding.
Burnett also points to the rise of “Digital Credit”, financial products backed by large Bitcoin reserves.
These structures allow companies to issue dollar-denominated income securities backed by Bitcoin holdings. Investors seeking yield buy the credit. The issuer uses proceeds to buy more Bitcoin.
The loop looks like this: yield demand to credit issuance to dollars raised to Bitcoin purchased to stronger collateral to more issuance.
If global credit markets, measured in the hundreds of trillions, begin allocating even modest percentages to Bitcoin-backed instruments, structural demand could far exceed those of previous cycles, driven mainly by retail speculation.
Giovanni Santostasi, known for modeling Bitcoin’s long-term price using a power-law curve, sharply disagrees with the $11 million forecast.
His model, based on Bitcoin’s historical growth trajectory, suggests a price closer to $2 million in 2036.
The power law approach treats Bitcoin’s price growth as a statistical pattern emerging from millions of independent actors. Santostasi argues that while individual events, such as crashes, bans, and exchange failures, create deviations, the long-term trajectory reverts to a predictable curve.
He compares it to thermodynamics: we cannot predict the movement of a single molecule, but we can predict the behavior of a gas.
From this perspective, even dramatic human events, such as a government adopting Bitcoin as a reserve asset, would likely cause jumps along the curve rather than breaking the underlying mathematical structure.
The power law would only fail, Santostasi argues, if Bitcoin’s core “relevant operators” changed, such as its fixed supply or decentralized consensus.
In short: Bitcoin can surprise, but not infinitely.
Short-term indicators offer mixed signals.
Analysts tracking the MVRV Z-Score, a metric comparing market value to realized value, note Bitcoin recently entered what some consider a “fair value” zone. Historically, similar conditions have preceded strong multi-year returns, though not without volatility.
Meanwhile:
Recent swings, including sharp reversals in equities and Bitcoin amid Middle East tensions, highlight how sensitive markets remain to uncertainty.

Bitcoin has rallied 7% in single sessions and faced steep drawdowns within weeks. Even Burnett’s $11 million scenario includes multiple 50% corrections along the way.
At its core, the debate is philosophical.
Burnett’s thesis is straightforward: AI displaces labor, policymakers respond with monetary expansion, excess liquidity chases scarce assets, and Bitcoin captures the spillover.

Santostasi’s thesis is mathematical: adoption follows a power-law curve, price appreciation decelerates in line with that curve, and extreme deviations eventually mean-revert to trend.
Both assume Bitcoin’s core properties remain intact:
Where they differ is scale.
Is Bitcoin destined to capture a modest slice of global assets, landing near $2 million? Or does AI-driven monetary expansion accelerate capital migration enough to justify $11 million?
For Bitcoin to reach $11 million by 2036, several conditions would likely need to align:
In the $2 million power-law scenario, adoption would continue steadily, but without a dramatic acceleration in global capital flows.
Both paths imply growth from current levels. They differ mainly in magnitude.
Even the most bullish long-term forecasts acknowledge Bitcoin’s history of extreme volatility. Past cycles have included drawdowns of 70% to 80%.
Short-term metrics, sentiment data, and geopolitical developments suggest turbulence will likely continue.
The question is not whether Bitcoin will be volatile; it almost certainly will be.
The question is whether the long-term structural forces of AI-driven productivity and monetary expansion will outweigh statistical constraints on growth.
By 2036, the answer will be clear.
For now, the debate between $2 million and $11 million reflects something more profound: whether Bitcoin’s future is governed more by macroeconomic transformation or by mathematical inevitability.
Joe Burnett is a Bitcoin analyst who has projected that Bitcoin could reach $11 million per coin by 2036. His thesis is based on the idea that artificial intelligence (AI) will drive global deflation, prompting governments to expand the money supply, pushing capital into scarce assets like Bitcoin. Burnett argues that AI will lower production costs and compress wages, creating deflationary pressure. To prevent economic instability, central banks may respond with continued monetary expansion. As liquidity increases, he believes capital will flow into Bitcoin due to its fixed supply of 21 million coins. At $11 million per Bitcoin, the total network value would be approximately $230 trillion, assuming close to full supply issuance. Burnett suggests this could represent around 12% of global financial assets by 2036 if global wealth continues growing. The Bitcoin Power Law model is a long-term price model created by Giovanni Santostasi. It uses historical growth data to suggest Bitcoin follows a predictable mathematical curve over time. Based on this model, Bitcoin could reach around $2 million by 2036, not $11 million.