Bitcoin $81,000 swings back and forth: How AI computing power demand is reshaping the value logic

Since late April 2026, Bitcoin’s price has repeatedly consolidated above $80,000, reaching around $82,500 in early May, but encountering significant resistance in the $82,000–$85,000 range, showing a “tug-of-war” volatility pattern. As of May 11, 2026, Gate’s market data indicates BTC is oscillating near $81,000, with intraday volatility narrowing.

Meanwhile, the capital expenditure frenzy in U.S. stock AI infrastructure is rewriting the global capital allocation landscape on an unprecedented scale. As tech giants invest hundreds of billions of dollars into GPUs, HBM, and data center construction, is this flood of funds crossing asset class boundaries and flowing into the crypto markets? Bitcoin continues to hover around key resistance zones—are these technical stagnations in the bulls and bears game behind it, or is it a prelude to a larger valuation reshaping?

How is AI infrastructure capital expenditure in U.S. stocks rewriting global capital allocation paths?

In 2026, global AI infrastructure spending is projected to reach $450 billion, with inference computing power accounting for over 70% for the first time. Major cloud providers like Microsoft, Amazon, Google, Meta, and Oracle guide their 2026 capital expenditure to a range of $600 billion to $720 billion, up approximately 36% to 70% year-over-year, with about 75% directly allocated to AI infrastructure. Such a scale of capital expenditure is not an isolated event but is reshaping the entire risk asset pricing anchor.

From an asset allocation substitution perspective, semiconductor ETFs have become the most active sector attracting retail funds in 2026. In April 2026, two major chip funds together attracted about $5.5 billion, setting a new monthly record for inflows; meanwhile, Bitcoin spot ETFs saw only about $2 billion in inflows during the same period. Quantitative data clearly shows that current AI hardware is siphoning risk appetite funds from the crypto market. However, in the long-term transmission logic, when this $450 billion AI infrastructure investment converts into data center computing power output, it will have profound structural impacts on the underlying valuation logic of all digital assets.

Why does the resistance zone between $80,000 and $85,000 repeatedly form tug-of-war?

BTC faces multiple overlapping resistances in the $82,000–$85,000 range. On the daily chart, multiple moving averages (MA7 around $80,500, MA30 around $77,200) remain bullishly aligned, but significant sell orders and call option “option walls” accumulate near $82,000. Short-term resistance is densely packed at the psychological level of $82,000 and the key level of $82,450, with stepwise pressures at $83,200 and $84,000. If the price cannot stabilize above $82,000, then the support at the trendline of $80,800 and the Fibonacci retracement at $80,400 will become testing zones for a pullback.

Meanwhile, multi-timeframe technical indicators show conflicting signals—on the daily, the CCI is at 104.59, entering overbought territory; on the 4-hour chart, overbought pressure also exists, indicating a short-term technical correction may be needed. However, RSI(14) is only at 64.64, still room before reaching extreme overbought levels, and the medium- to long-term upward momentum has not yet exhausted. This contradiction in multi-timeframe signals and the tug-of-war between bulls and bears in capital flows cause the price to oscillate within this range rather than break out unilaterally.

From a chip distribution perspective, the $79,000–$80,000 zone has seen about 423k BTC exchanged in dense turnover, forming a strong bottom support. The chip concentration in the $83,000–$84,000 zone mainly results from exchange wallet reorganization, not constituting substantial resistance. Therefore, the current market deadlock is essentially a battle between short-term technical repair needs and medium- to long-term institutional capital allocation intentions.

Can ETF capital inflow momentum support a breakout through the technical pressure zone?

The spot Bitcoin ETF’s capital flow rhythm is the most critical variable now. In April 2026, ETF net inflows reached about $1.97 billion, a new high for the year; from May 1 to May 5, continuous net inflows of about $1.65 billion occurred, led by BlackRock and Fidelity. But then, the market turned—on May 7 and May 8, two consecutive days of net outflows totaling over $420 million.

Institutional funds are not uniformly bullish. Morgan Stanley increased its holdings by 57 BTC via Coinbase in early May; Strategy (formerly MicroStrategy) holds 818,334 BTC at an average price of about $75,537. Coinbase itself bought 1,103 BTC directly on its balance sheet in Q1 2026 (roughly $88 million), pushing its total holdings to 16,492 BTC. These “cost basis well below market price” institutional holdings imply that short-term selling pressure is driven by profit-taking rather than stop-loss liquidation, and have established a psychological support zone around $80,000.

Is the macro liquidity environment opening a new upward window for crypto assets?

The macro environment in 2026 is experiencing a subtle but crucial shift. The Federal Reserve maintained the federal funds rate target at 3.50%–3.75% in the April meeting, marking the third time this year rates remained unchanged. However, market expectations for rate cuts are cooling—Goldman Sachs has pushed back the last two expected rate cuts by one quarter each, now scheduled for December 2026 and March 2027. The interest rate swap market has priced in zero rate cuts for the entire 2026.

More fundamentally, the market is reassessing the Fed’s policy path: the question has shifted from “when will rate cuts happen” to “will they happen at all.” Federal funds futures pricing has essentially eliminated the possibility of rate cuts before April 2031. This change means the market’s long-term reliance on zero interest rate environments is being broken, and asset valuation models need to revert to more traditional discounting frameworks. In this context, Bitcoin’s narrative as “digital gold” and its inflation hedge function will face a new round of market validation.

However, the flip side is that high interest rates continue to elevate the capital costs of data center and computing infrastructure, further raising the financing thresholds for compute tokens and AI-related crypto projects. This “dual effect”—testing the store-of-value function of existing crypto assets and squeezing the financing capacity of new crypto projects—will become a key driver of market divergence.

How is Bitcoin’s valuation logic facing a structural overhaul from “digital gold” to “compute infrastructure”?

The explosive demand for AI computing power is driving a new growth cycle in the global semiconductor industry. The total demand for HBM (High Bandwidth Memory) is expected to reach 423k Gb, with a year-over-year growth of about 150%; the HBM supply-demand gap remains high at 50%–60%. Global semiconductor revenue is projected to surpass $1.3 trillion in 2026, marking the largest annual increase in two decades. This technological narrative is not isolated from the crypto market—Bitcoin mining ASIC chips are fully integrated into the semiconductor industry supply chain, and the AI computing race’s pressure on advanced process capacity directly impacts the cost structure and supply stability of mining hardware.

Meanwhile, in Q1 2026, listed mining companies sold over 32,000 BTC, setting a quarterly reduction record and temporarily exerting supply pressure. But the tug-of-war between ETF buying and miner selling points to a longer-term trend: ETF weekly purchases at peak periods are equivalent to about 33 days of miner output, meaning institutional buying is outpacing new coin supply growth. Quantitative estimates further confirm this—ETF absorbed over 33,000 BTC in less than three weeks, which is comparable to about 51 days of miner output (assuming about 450 new BTC per day after halving).

From a valuation logic evolution perspective, Bitcoin is transitioning from a “pure speculative asset” to a “compute-backed store of value.” Capital expenditure by AI tech giants, increasing by one percentage point, maps onto the crypto world as a synchronized projection of compute supply, mining hardware, and mining economics. The new economic structure characterized by high inflation and high compute demand is replacing the traditional dollar-denominated framework centered on low interest rates, introducing a new pillar for Bitcoin’s long-term valuation system.

With the supply-demand gap widening and institutional allocation deepening, what stage is the market structure entering?

Exchange reserves of Bitcoin are continuously being absorbed. The reserves on centralized exchanges have fallen to about 2.67 million BTC, the lowest since December 2017. Coupled with ongoing ETF accumulation and the halving of daily miner output to about 450 BTC, the market is preliminarily forming a “tight supply + expanding institutional demand” dual condition.

Looking ahead, December 2026 will be a key date. The Fed’s new rate cut window may reopen then, and large cloud providers’ annual capital expenditure guidance will be updated. If macroeconomic conditions and compute infrastructure investments continue current trends, the resistance zone above $83,000 will face increased pressure from new capital inflows. However, the current tug-of-war pattern clearly indicates a time lag between “narrative transmission” and “actual capital deployment.” The valuation reshaping of crypto markets is not a linear process but a qualitative change after repeated battles between bulls and bears around key price levels.

Summary

The repeated tug-of-war in the $82,000–$85,000 range for Bitcoin fundamentally reflects the convergence of three logical forces: short-term technical repair needs, medium-term institutional ETF capital pattern shifts, and long-term AI compute infrastructure narratives reshaping crypto valuation systems. Declining exchange reserves, ETF buying pressure surpassing miner output, are laying the groundwork for future supply-demand imbalances. However, macro liquidity tightening is raising the threshold for all risk assets. Whether the market can effectively break through the current resistance zone depends on the actual evolution of rate cut expectations, the sustained strength of AI capital expenditure, and whether ETF inflows can shift from “intermittent bursts” to “continuous allocation.”