Ditching bonds for bitcoin: How crypto can tackle the AI-heavy portfolio dilemma

Artificial intelligence (AI) has become a giant sponge for investment capital, creating a potentially awkward portfolio problem for wealth managers.

The biggest U.S. hyperscalers are expected to spend upwards of $800 billion this year and more than $1 trillion in 2027, according to estimates in Bitcoin Suisse’s Crypto Wealth Management Report 2026. That means investor attention is likely to remain “trapped in AI until the speculative cycle breaks,” according to the Zug-based digital-asset service provider.

Exposure to the boom is increasingly concentrated in a handful of tech companies, while the debt financing both private investment and government spending is expanding.

That combination strengthens the argument for a bitcoin allocation, not because it replaces stocks or bonds, but because it introduces a genuinely different source of risk in portfolios.

AI debt

Bitcoin Suisse sees credible reasons for the AI infrastructure boom to continue for years, with semiconductors, memory, networking, power generation and cooling all remaining physical bottlenecks. The vulnerability lies in the economics and credit structures to support the expansion.

That matters for portfolio construction because the AI trade doesn’t exist in isolation from the broader debt cycle.

U.S. federal debt has crossed $40 trillion, while Treasury yields have returned to levels last seen around the Global Financial Crisis. Bitcoin Suisse described the sovereign debt balance sheet as an increasingly important pressure point for markets.

It also complicates the traditional response to an equity-heavy portfolio to buy bonds. Stocks and Treasuries have increasingly moved together during major inflation, interest-rate and geopolitical shocks. Bitcoin Suisse argues this has weakened the assumption that sovereign bonds should automatically constitute a portfolio’s primary diversification play.

Bitcoin allocation

Bitcoin Suisse frames bitcoin as a potential source of portfolio resilience: volatile and sensitive to liquidity like a risk asset, but possessing monetary scarcity more characteristic of the traditional hard-asset sleeve.

Bitcoin is therefore not a conventional risk-off hedge, Bitcoin Suisse cautions. Instead, it means its underlying return drivers are sufficiently different to potentially improve diversification.

Its portfolio modeling provides an indication of what that could mean in practice. Bitcoin Suisse tested allocations of 1%, 2.5%, 5% and 10% in an otherwise conventional portfolio containing equities, bonds, gold and money-market assets. When bitcoin was funded from bonds, annualized returns increased from 6.2% with no BTC to 7.2% with 1% and 8.6% with 2.5%.

BTC improved both absolute and risk-adjusted returns throughout the tested range, whether the allocation was taken from stocks or bonds. Funding it from bonds produced the strongest historical absolute returns because equities remained untouched during a period when they substantially outperformed fixed income.

For family offices and such, the modeling illustrates why even a relatively small position in bitcoin can matter: portfolio impact depends on position size and correlation rather than an asset's volatility viewed in isolation.

Beyond bitcoin

The portfolio thesis presented by Bitcoin Suisse didn’t end with BTC. Ethereum increasingly combines productive network economics with monetary characteristics through its role as reserve collateral and settlement infrastructure for a tokenized economy, according to the report.

This becomes more relevant should increased financial activity start taking place onchain. Tokenized securities stablecoins are now well established, but Bitcoin Suisse sees AI itself as a potentially important future source of demand for those rails.

AI agents already consume more than five times as many tokens as humans, according to the report, which Bitcoin Suisse expects to see reflected in financial and onchain activity.

This creates unusual circularity. AI. is competing with crypto for investment capital today while simultaneously developing autonomous economic actors that could ultimately make greater use of crypto’s programmable financial infrastructure.

Liquidity cycle

None of this requires the AI boom to collapse. As spending in this area matures, financing costs rise in importance, and prospective returns possibly diminish, capital may start looking elsewhere.

At that point, the portfolio pressure accumulating amid the AI boom could leave investors searching for assets whose returns derive from elsewhere.

Bitcion Suisse’s bet is that BTC’s combination of scarcity and distinct risk drivers means it doesn’t need to absorb a huge portion of a traditional portfolio to matter. In an investment landscape increasingly dominated by the same AI and macroeconomic trades, a small allocation to something structurally different may go a long way.