According to Woofun AI, the massive capital requirements for artificial intelligence (AI) infrastructure buildout are emerging as a new macroeconomic headwind for Bitcoin, one whose influence now exceeds that of the Federal Reserve's rate-hiking cycle alone.

This structural shift means that even if monetary policy pivots toward easing, the upward pressure on long-term interest rates driven by tech giant borrowing will continue to suppress the risk premium demanded of assets that generate no cash flow.

The core contradiction is that enormous AI investment is reshaping the logic of global capital allocation, leaving Bitcoin facing unprecedented macro headwinds as it competes for limited liquidity.

The minutes from the Fed's September 15-16 meeting reveal the micro-level foundations of this macro picture. The minutes explicitly noted that market participants observed that massive private debt issuance to fund AI infrastructure was a key driver pushing up US Treasury yields and long-term bond premiums. During the inter-meeting period, nominal yields on maturities ranging from 2-year to 10-year rose by roughly 35 basis points. For crypto investors focused primarily on when the Fed will stop tightening, this data point adds considerable uncertainty. The Fed raised the federal funds rate target by 25 basis points in September to a range of 3.75%-4%, and most officials believed another hike before year-end could be appropriate.

Even if this hiking cycle ends, persistent competition for long-term financing could keep borrowing costs elevated, largely independent of the overnight policy rate. The scale of current financing demand is large enough to draw serious attention from policymakers, indicating that the root causes of rising rates have partly escaped the control of traditional monetary policy.

Data compiled by Woofun AI shows the Bank for International Settlements estimates that combined AI-related capital expenditure by the five largest tech giants will exceed $1 trillion across 2025 and 2026. Industry forecasts cited by the BIS indicate that global AI investment currently stands at roughly $500 billion, a figure that could rise to between $3 trillion and $4 trillion by 2030. Early construction funding may largely come from corporate cash flow, but as some companies spend faster than their reported profitability and free cash flow can support, they are increasingly relying on bonds and private credit to raise capital. The BIS noted that as companies build data centers, procure chips, and construct energy infrastructure, debt is taking a growing share of the overall financing structure.

The head of the Fed's trading desk said that because of the large scale and long duration of borrowing, bond spreads issued by major cloud service providers remain at elevated levels. Market participants also pointed out that capital competition from AI-related private debt issuance is one factor pushing up US Treasury long-bond premiums. The minutes did not specify how much of the roughly 35 basis point yield increase was caused by AI-related financing activity. In addition, strong economic data, expectations of further policy tightening, geopolitical developments, and uncertainty over whether the US Treasury would conduct bond buybacks were also cited as factors influencing rising yields.

Nevertheless, even after the policy rate cycle ends, this mechanism could still pose problems for Bitcoin. US Treasury data showed that as of October 7, the coupon yield on 10-year notes was 5.28%, while the inflation-adjusted 10-year yield was 2.92%. Such levels mean investors can already earn considerable returns from government bonds before taking on Bitcoin's volatility and maximum drawdown risk. For crypto, this means the required risk-reward ratio rises accordingly. If the Fed pauses, short-term rate expectations may decline, but if companies continue to compete fiercely for financing resources, long-end rates may not receive the same relief.

The Fed also said that the main reason long-term Treasury yields rose during the inter-meeting period was changes in real yields. This distinction matters greatly for Bitcoin, because real yields reflect returns after inflation, intensifying competition between Bitcoin, which has no fixed cash flow, and securities that offer positive inflation-adjusted returns.

Currently, AI-related stocks appear able to absorb higher financing costs with relative ease. The Fed noted that firms directly benefiting from infrastructure buildout have outperformed the broader market, and although valuation multiples have declined, strong actual and expected earnings continue to support share prices. The longer-term risk is that this investment boom could over-expand capacity. The BIS warned that the current AI investment wave ranks among the largest technology investment surges in US history. In the bank's analysis, companies may invest capital beyond what their actual returns can support in the race for future market share, while higher debt levels increase financial strain, and if revenue expectations fall short, firms could be forced to sell assets.

This would create a very different scenario for Bitcoin. Arthur Hayes, co-founder of the defunct BitMEX exchange, believes the data center construction race will ultimately lead to excess computing supply and trigger a market downturn. He has repeatedly pointed out that major historical technology rollouts often lead to overcapacity, and he expects financial stress to emerge around late 2027 or 2028, when new computing capacity begins coming online. His Bitcoin investment thesis begins where the current yield pressure ends. If an AI failure threatens infrastructure operators that have invested heavily, Hayes believes policymakers will eventually provide liquidity support, an environment he argues would favor Bitcoin and other crypto assets.

Of course, this remains a speculative view. AI demand could also grow fast enough to absorb the infrastructure being built, and higher productivity and profits could justify these investments before debt burdens become severe. Still, the BIS sees genuine fragility in the current financing structure. Corporate investment commitments increasingly exceed internally generated cash flow, making future realized returns ever more important for companies to repay the capital raised for infrastructure. For Bitcoin investors, the key question now is not at which meeting the Fed stops hiking, but how long-term real yields evolve afterward. If 10-year Treasury yields and long-bond premiums continue to fall, the argument that AI capital demand is keeping financial conditions tight will lose persuasiveness. Strong Bitcoin spot demand even in a high-yield environment would also show investors are willing to accept a higher opportunity cost.

The opposite scenario would hurt crypto markets. If AI-related borrowing persists, combined with high real yields, Treasuries and corporate credit will still compete fiercely for limited capital even after monetary tightening peaks. The Fed's next meeting is scheduled for October 27-28, when policymakers will still focus on inflation and whether to raise rates again before year-end. But for Bitcoin, the bigger test may come after the final hike. If the AI investment boom keeps pushing long-term Treasury yields higher, the rate relief traders expect from a Fed pause may be weaker than in previous cycles. And if that boom ultimately ends, investors will be watching closely for whether the kind of financial-stress-driven liquidity support Hayes predicts actually materializes.