In 2026, the capital narrative around AI shines brighter than ever. The annual capital expenditures of the four tech giants—Alphabet, Amazon, Meta, and Microsoft—are projected to surpass $650 billion, with AI-related stocks hovering near historic highs. Meanwhile, the crypto market is undergoing a new wave of the computing power race. Bitcoin’s total network hash rate is approaching 800 EH/s, and mining equipment manufacturers are booking orders well into the next year. These seemingly disparate forces are being driven toward the same physical bottleneck by a distant war in the Strait of Hormuz.
Iran’s strike on Qatar’s Ras Laffan Industrial City, followed by Russia’s helium export restrictions, has not only severed the supply of a critical gas for semiconductor manufacturing but has also exposed the underground roots that sustain the entire high-performance computing sector—from training large AI models to mining blocks. While capital seeks to build digital empires at financial speed, the physical world is redrawing boundaries with the rhythms of mines, pipelines, and shipping schedules.
One Strike, Two Lifelines
On March 2, 2026, Iranian missiles targeted Qatar’s Ras Laffan Industrial City. This city is responsible for nearly one-third of global liquefied natural gas exports and supplies about 33% of the world’s helium. Qatar’s state-owned QatarEnergy announced that some contracts were hit by force majeure, with repairs estimated to take up to five years and annual revenue losses around $20 billion. Helium supplier Airgas simultaneously issued its own force majeure notice.
Six weeks later, on April 14, Russia imposed helium export controls through the end of 2027. All exports to non-Eurasian Economic Union countries now require approval from the Prime Minister, citing the need to prioritize supply for military drone fiber optic components. With both major sources tightening within two months, about 40% of global helium supply channels have narrowed.
At the same time, US data center construction is facing another physical bottleneck. Delivery times for transformers, switchgear, and batteries have stretched from two years pre-pandemic to five years now, with nearly half of planned data centers facing delays. These events aren’t parallel—they’re intersecting and resonating, collectively tightening the entire physical chain from silicon wafers to mining farms, from cloud servers to mining rigs.
A Rapid Shift from Surplus to Shortage
Before the conflict disrupted the status quo, the global helium market was even slightly oversupplied. According to the US Geological Survey’s 2026 mineral summary, global helium production in 2025 reached about 190 million cubic meters: the US accounted for 42.6%, Qatar for 33.2%, and Russia for 9.5%. Together, these three nations provided roughly 84% of supply. Annual demand stood at about 170 million cubic meters, with inventory offering a buffer of more than two months.
However, helium isn’t a standalone commodity. It’s a byproduct of natural gas processing; when LNG facilities are damaged, helium output drops instantly to zero and cannot be restarted independently. Russia’s Amur processing plant also can’t quickly relocate or substitute its capacity, and sanctions have prevented its products from being certified by major wafer fabs.
On the electrical equipment front, US domestic transformer manufacturing has long been insufficient. Imports of high-power transformers from China soared from under 1,500 units in 2022 to over 8,000 in 2025, creating a new dependency at odds with tech decoupling goals. The crypto mining sector feels this pressure too: deploying the latest high-performance miners often requires upgraded substations, and longer delivery cycles directly slow the onboarding of new hash power.
From the first strike on March 2 to the dual supply freeze in mid-April, the global high-performance computing industry shifted in less than fifty days from "ample supply and expansion planning" to "emerging bottlenecks and project queues"—a tightening mode.
The Triple Transmission Between Helium, Chips, and Computing Power
Helium—Advanced Processes—Computing Chips
Helium is irreplaceable in advanced processes below 7nm: it serves as the cooling medium for EUV lithography, a wafer temperature control gas in dry etching, and an inert environment for high-precision leak detection. These features mean helium shortages impact AI chips and the latest mining chips far more than mature process products. If the yield on TSMC’s 3nm/2nm lines drops by a few percentage points due to lower helium quality margins, the output of Nvidia GPUs, AI ASICs, and next-generation Bitcoin mining chips will all be squeezed.
Electrical Equipment—Data Centers/Mining Farms—Deployment Pace
Whether for AI training clusters or crypto mining farms, physical sites and power access are essential. Delays in US data centers are not isolated; mining farms also face transformer shortages. Next-gen mining rigs now consume over 5 kilowatts per unit, and a medium-sized mining farm can require power capacity in the hundreds of megawatts. The needed switchgear and transformers are fundamentally the same as those for data centers. When delivery times stretch to five years, any rapid expansion plan for computing power must yield to the slow pace of industrial manufacturing.
Energy Market Transmission
As of April 28, 2026, energy markets are broadly strengthening: US crude is at $97.43, up 1.81% in 24 hours; Brent crude at $102.55, up 1.80%; natural gas at $2.724, up 1.15%. Geopolitical risk premiums continue to influence energy pricing, putting pressure on mining farm electricity costs. For crypto mining, this is a double-edged sword: rising energy prices mean higher mining costs, but often coincide with increased demand for assets like Bitcoin amid inflation narratives.
The Resonance of Dual Bottlenecks
The table below shows the physical constraints shared by the AI and crypto industries:
| Bottleneck Dimension | Core Restriction Factors | Affected Computing Fields | Substitutability |
|---|---|---|---|
| Helium Supply | Qatar facility damage (~30% supply) + Russian export controls (~9% supply) | AI training/inference chips, mining ASICs advanced process supply | No industrial-scale substitutes in the short term |
| Electrical Equipment | Transformer, switchgear, battery capacity shortages | Power access and expansion for data centers and crypto mining farms | Imports possible, but limited by geopolitics and long delivery cycles |
| Energy Prices | Middle East geopolitical risk premium | Mining farm power operating costs | Can be partially hedged via long-term contracts, but volatility increases |
The core of their intersection is this: when chip production is limited by helium shortages, crypto miners and AI giants will compete for delivery slots at the same wafer fabs. Even if chips are secured, deployment may be stalled by power shortages.
How the Market Prices This Physical Crisis
Direct Response in the Crypto Market
After the attack, Gate market data showed significant volatility in crypto AI sector tokens. Some decentralized computing protocol tokens surged briefly on supply disruption news, with the narrative interpreted as "the fragility of centralized infrastructure will accelerate demand for decentralized computing." However, subsequent corrections revealed this logic lacks fundamental support—decentralized computing networks still rely on physical hardware and cannot operate independently of helium and transformers.
Voices from Mining Companies and Chip Manufacturers
Major wafer foundries have yet to publicly acknowledge yield impacts, but supply chain sources indicate several mining equipment manufacturers have begun renegotiating capacity guarantee clauses with chip suppliers. An anonymous industry insider commented, "Advanced process capacity has always been a zero-sum game. When AI giants pay premiums to lock in orders, miners’ share is inevitably squeezed." This is a microcosm of the physical competition between crypto mining and AI at the industrial level.
Divergence Between Short-Term Optimism and Structural Pessimism
David Pan, head of Moody’s AI industry practice, told the media, "The AI economy runs on tokens, tokens run on GPUs, and GPUs depend on Qatar’s helium, Israel’s bromine, and LNG tankers passing through the Strait of Hormuz." The same logic applies to the crypto world: block rewards run on ASIC miners, and miners rely on similarly concentrated physical nodes.
Yet, some believe the current signals are overinterpreted. Moody’s ratings suggest the crisis is "being managed," and inventory buffers can cover several months of supply gaps. In crypto mining, some large companies have mitigated electrical equipment shortages by geographically diversifying operations—for example, setting up mining farms in hydro-rich Nordic regions and signing multi-year power agreements in advance. These moves are seen as proactive efforts to reduce physical dependency, though their coverage remains limited.
Industry Impact Analysis: Crypto Mining at a Crossroads
Invisible Squeeze on Mining Equipment Supply
AI giants are currently highly motivated to lock in advanced process orders. With expectations of tighter capacity due to helium shortages, foundries will prioritize higher-priced, longer-term AI chip contracts. Mining equipment manufacturers are in a relatively weak bargaining position, facing potential wafer allocation cuts. This will directly manifest as delays in new equipment deliveries, increased premiums for spot miners, and a shift in the hash rate growth curve from exponential to linear.
Restructuring of Energy and Computing Costs
Rising energy prices combined with electrical equipment shortages are significantly lengthening the site selection and construction cycles for new mining farms. Meanwhile, inefficient old miners can still run when coin prices are high, but if energy costs keep rising, their break-even points will face severe challenges. Computing power may concentrate in more efficient new machines, which in turn exacerbates supply tightness—a self-reinforcing contraction cycle.
The Rise of Computing Power Geopolitics
Crypto mining has evolved from loosely distributed operations to geographically concentrated clusters, and physical bottlenecks are accelerating this trend. Jurisdictions that can ensure stable power and equipment supply will gain a competitive edge in hash rate allocation. This is not just a regulatory contest, but a comprehensive competition involving industrial capability, resource endowment, and geopolitical security. Under the banner of decentralization, the physical foundation of computing power is becoming more centralized.
Narrative Divergence in Crypto AI Assets
Gate market data shows that since 2026, the total market cap of AI and computing-related crypto assets has exceeded $40 billion. Amid the physical supply crisis, narrative divergence may emerge within this sector: projects with real physical computing power will command a premium, while tokens driven purely by narrative and lacking actual deployment capabilities may face scrutiny. The market is learning to distinguish between "AI-related" and "truly supplying computing power."
Conclusion
Behind every cooling fan in a crypto mining rig and at the end of every fiber optic link in an AI training cluster lies a connection to Qatar’s desert gas wells, Russia’s Far East processing plants, and ships navigating narrow straits. The Iran conflict hasn’t just scorched these physical nodes—it has burned away a long-standing illusion masked by digital prosperity: the belief that computing power is purely a technological product, able to transcend geography, geology, and geopolitics for unlimited expansion.
Crypto mining and AI may seem to be competing for different futures, but they share the same physical backbone. For industry participants—miners, model trainers, and investors alike—relearning and respecting the constraints of the physical world may be the most certain thing in this uncertain era. Code can be forked, computing power can be leased, but the reserves of helium, the winding hours of transformers, and the width of straits will not change for any vision written in a white paper.
