The Coming Power War That Will Define the AI Era

In the 19th century, it was coal, and the British Empire was built on top of it.

In the 20th century, it was oil, and the modern Middle East and American postwar dominance were both shaped by who controlled the flow.

In the early 21st century, semiconductors became the world’s most critical asset, sparking the rise of Taiwan, growing trade tensions with China, and the creation of several multi-trillion-dollar tech giants.

The next fight is already underway, and almost nobody is talking about it in those terms yet.

The resource in contention this time is electricity. Specifically, the kind of clean, secure, large-scale electricity that AI workloads consume by the gigawatt.

The companies that control electricity may likely be able to dictate terms to the rest of the AI economy for the next two decades. The countries that hold it are about to find themselves with strategic leverage they have not enjoyed in a century. And the small handful of players who locked in AI-grade power capacity before the surge may soon look very different from what they do today.

One of these players is Bitzero Holdings Inc. (NASDAQ: AIBZ), a Canadian-listed Bitcoin miner with infrastructure across Scandinavia and in the United States that just signed a binding letter for a 15-year, $2.6 billion lease to host enterprise AI workloads at its Norway site. The deal is one of the early visible moves in a war that is going to define the next era of the global economy.

The Resource That Decides the AI Century

To understand why power has become the new strategic chokepoint, start with what the AI economy actually consumes.

A single ChatGPT query consumes roughly 10 times the energy of a Google search. Training the next generation of large language models requires the equivalent power draw of small cities. Industry forecasts from McKinsey now put AI data center capital expenditure at roughly $5.2 trillion between now and 2030. Goldman Sachs Research projects global data center power demand will surge up to 165% by 2030 compared to 2023 levels.

That kind of growth has no historical analog. The closest comparison is the early industrial era, when entire economies reorganized around coal. The difference is speed. The industrial revolution played out over a century. The AI buildout is being attempted in a decade.

The world simply does not have enough clean, reliable, large-scale electricity to deliver on what the AI industry is promising. Not in the United States. Not in Europe. Not in Asia. The shortage is everywhere, and the timeline to fix it through new generation, transmission, and interconnection runs ten to fifteen years at a minimum.

Which means the people who already hold AI-grade power capacity, in the right jurisdictions, with the right cost structure, are sitting on something that the rest of the AI economy needs and cannot replicate.

That is the definition of a strategic asset. And a fight over a strategic asset is the definition of a war.

The war is being fought on four fronts. Each one matters in its own right. Together, they explain why the AI power economy of 2035 is being decided right now.

Front One: The U.S. Hyperscalers Are Already Spending Billions

The most visible front of the war is in the United States. The hyperscalers have looked at the grid, looked at their AI roadmaps, and concluded that the gap between what they need and what the utilities can deliver is unbridgeable on any reasonable timeline.

So they are bypassing utilities entirely.

Microsoft signed a 20-year deal to restart the Three Mile Island nuclear plant, a facility offline since 2019, specifically to feed AI workloads. Amazon paid $650 million for a single data center campus co-located with the Susquehanna nuclear station in Pennsylvania. Google announced agreements with Kairos Power for small modular reactors. Meta has issued a request for proposals seeking up to 4 gigawatts of new nuclear capacity.

These are companies committing billions of dollars to lock in clean electricity ten and twenty years in advance. Not because power markets are functioning well, but more likely because the hyperscalers have concluded that without long-term secured power, their entire AI strategies may fall apart.

That's the easy front to see. The harder front, the one that gets less attention but matters more strategically, is what's happening across the Atlantic.

Front Two: Europe Is Quietly Closing the Door

While the U.S. hyperscalers scramble for nuclear plants, the European jurisdictions with the best AI power profiles in the world are quietly making sure their capacity stays in domestic hands.

Nowhere is this clearer than in the Nordic countries. Norway, Finland and Sweden sit on top of massive hydroelectric and nuclear generation, in cold climates that slash cooling costs, with stable governments and EU data sovereignty protections built in. For AI workloads, the combination is close to perfect.

It is also closing fast. Norway has effectively capped new data center operators at just 5 megawatts of initial allocation. Five megawatts is barely enough to run a small Bitcoin mining operation, let alone an AI training cluster. Finland and Sweden are tightening as well, prioritizing existing operators and domestic strategic interests over the hyperscalers showing up with billions of dollars to spend.

The pattern is not accidental. European governments have looked at the U.S. experience, watched American utilities sell capacity to whoever pays the most and decided they will not let that happen on their soil. The power that already exists today, in the Nordic markets that matter, is largely the capacity that will exist five years from now. The companies that locked in significant Nordic power before the surge are sitting on something that cannot be replicated, no matter how much capital is thrown at it.

This is the front where Bitzero (NASDAQ: AIBZ) sits. The company is a licensed grid operator in Norway with direct connections to hydroelectric power plants, all-in power costs of roughly 3 to 4 cents per kilowatt-hour and more than 1 gigawatt of secured capacity across four sites in Norway, Finland and the U.S. It built that position years before the AI boom turned Nordic power into a strategic asset, and the regulatory door has closed behind it.

Front Three: The Middle East Is Buying Into Both Sides

A third front is opening up that very few American investors are watching carefully. The Gulf states, sitting on sovereign wealth that runs into the trillions, have looked at the AI power race and decided they want a position in it.

The UAE, in particular, has been moving aggressively. Phoenix Group, the publicly-listed Bitcoin miner ranked tenth globally by market capitalization and based in Abu Dhabi, has been quietly building positions in critical AI and crypto infrastructure for years. Phoenix holds a 20.8% equity stake in Bitzero and a board seat. That is sovereign Gulf money taking a long position in Nordic power infrastructure that hosts AI workloads, and it is a pattern likely to repeat across other AI-power assets globally.

Saudi Arabia, Qatar, and Kuwait are pursuing similar plays through their own sovereign wealth vehicles. The Gulf states understand exactly what is happening. The petrodollar century is winding down, and the AI power century is winding up. The capital that built the modern Gulf economy is being repositioned for the next era, and AI-grade power infrastructure sits high on the list of strategic targets.

The Middle Eastern angle is largely ignored by the U.S. financial media, but it is shaping the global AI power market in ways that will become impossible to ignore over the next several years.

Front Four: China Is Building Its Own Closed System

The fourth front is the most isolated and the hardest to assess from the outside. China has watched the global scramble for AI-grade power and concluded that it needs to build its own self-sufficient ecosystem, walled off from Western supply chains and Western capacity constraints.

Beijing has poured state capital into massive coal, nuclear, and renewable buildouts specifically targeted at supporting AI infrastructure within Chinese borders. The country has also imposed strict restrictions on cross-border data flows that effectively prevent Chinese AI workloads from running on Western infrastructure.

The result is a parallel system that does not directly bid against Western hyperscalers for capacity, but exerts indirect pressure across the entire global market. Every gigawatt of generation that China brings online for domestic AI use is a gigawatt that does not need to come from international markets. Every Chinese chip design that runs on domestic power is one fewer Western customer for Nordic, U.S., or Middle Eastern AI infrastructure.

In the long run, the Chinese closed system is one of the most important variables in the global AI power equation. In the near term, its main effect is to validate, in the starkest possible terms, that every major government on earth now treats AI-grade power as a matter of national strategic interest.

Why the Winners Are Already Set

In every previous era of strategic resource competition, the winners were set before the broad market figured out what was happening.

The British coal advantage in the 19th century was built decades before the rest of Europe realized what industrialization required. The American oil position in the 20th century was secured in the early Texas boom, well before the global automotive economy made it indispensable. Taiwan's semiconductor dominance was built quietly through the 1990s, long before the smartphone era made TSMC the most strategically important company on earth.

The pattern holds for AI power. The capacity that exists today, in the jurisdictions that matter, with the cost structures and regulatory positions that work, is largely the capacity that will define the industry for the next two decades. New entrants face multi-year permitting delays, regulatory caps, local opposition, and supply chain constraints that compound every year. The window to build into the AI power economy from scratch is already closing.

Which means the winners of the AI power war are not the companies that will start building tomorrow. They are the companies that locked in their positions years ago and are now executing on the demand wave.

Bitzero (NASDAQ: AIBZ) is a clean example of what that looks like at the small-cap scale. The company built its Norway position years before the OneQode lease deal was conceivable. The infrastructure is in place. The power is secured. The regulatory protection is locked in. And in May 2026, the first major AI tenant signed a binding 15-year, $2.6 billion lease for the entire 110 megawatts at the Namsskogan site.

Total contracted revenue runs approximately $2.6 billion, with implied annual revenue of $178 million at full capacity and a net operating margin of 85%. OneQode is deploying GPU clusters at the site for enterprise AI, large language model training and sovereign AI workloads. Commissioning is targeted for the first half of 2027.

The deal does not stand alone. Two weeks before the OneQode signing, Bitzero acquired its first eight NVIDIA Blackwell B300 servers (64 GPUs total) for deployment at the Norway site. Around the same time, Bitzero announced a partnership with Hydra Host, a top-10 NVIDIA Cloud Partner backed by Founders Fund, which distributes Bitzero's compute capacity to global enterprise customers through its Brokkr platform. Bitzero also retained CBRE, a brokerage firm that manages roughly $6 billion in annual data center transactions, as the strategic broker for its 200-megawatt Finland site.

Every piece of the playbook is in motion. The power is locked in, the latest NVIDIA chips are running on it, a global cloud partner is moving the resulting compute to enterprise customers, and the first major AI tenant is already on the hook for an estimated $2.6 billion over fifteen years. This is the convergence trade the broader power war makes possible, and the market still has not priced what it adds up to.

What This Looks Like for Investors

Strategic resource wars don't reward the investors who arrive at peak coverage. They reward the investors who get positioned before the broader market understands what is being fought over.

The AI power war is in that early phase right now. The headlines have started, with the Microsoft Three Mile Island deal, the Amazon nuclear co-location, and the Meta nuclear RFP. The market, it seems, has yet to catch on, with most retail investors still focused on chip stocks and AI software, none of which can function without the underlying power infrastructure that the war is being fought over.

Yet the AI infrastructure story extends well beyond semiconductors and electricity. As enterprises deploy increasingly valuable AI models across critical industries, protecting those workloads is becoming just as important as powering them. That has fueled rapid growth for cybersecurity leaders such as Fortinet (NASDAQ: FTNT), whose networking and security appliances increasingly underpin large-scale data center deployments, Palo Alto Networks (NASDAQ: PANW), which has expanded aggressively into AI-driven cloud and enterprise security, and Zscaler (NASDAQ: ZS), a leader in zero-trust architecture designed for cloud-native applications. As AI infrastructure scales globally, every new data center requires not only reliable power and advanced GPUs but also sophisticated cyber defenses capable of protecting enormous volumes of proprietary data and compute resources. In that sense, the AI investment cycle is evolving into a broader ecosystem where electricity providers, infrastructure owners and cybersecurity firms all stand to benefit from the same secular buildout. The companies controlling AI-ready power may provide the foundation, but securing that infrastructure is becoming an equally indispensable layer of the AI economy.

A handful of public companies sit on AI-grade power assets in the right jurisdictions, with the right cost structures, with credible AI tenants beginning to commit. The largest of them already trade at multi-billion dollar market caps. IREN Limited (Nasdaq: IREN) trades above $19 billion. TeraWulf Inc. (Nasdaq: WULF) sits above $14 billion. Cipher Mining (Nasdaq: CIFR) is north of $11 billion. Hut 8 (Nasdaq: HUT) and Core Scientific (Nasdaq: CORZ) trade above $13 billion and $9 billion, respectively. Each is a public expression of the same thesis: own the power, lock in the AI tenant, ride the revaluation.

Bitzero, by comparison, trades at a market cap of roughly $500 million. A company with more than 1 gigawatt of secured capacity, a binding letter for a 15-year $2.6 billion AI lease signed with OneQode, Bitcoin mining operations generating revenue today, the latest NVIDIA Blackwell GPUs deployed in Norway, and CBRE marketing the Finland site to global hyperscalers, trades at a small fraction of IREN's market cap.

Phoenix Group holds a 20.8% equity stake and a board seat. Kevin O'Leary is on the cap table. The proposed board includes investment banking veterans from Credit Suisse and JPMorgan. And since June 9, 2026, Bitzero is listed on the Nasdaq Stock Market under the ticker symbol AIBZ.

The Bottom Line

Every economic era is defined by a fight over a single strategic resource, and the AI era is no exception. The fight is for power. It is global, it is already underway and the winners are mostly set, even though the broader market has not figured that out yet.

A small group of companies hold strategic positions that matter. They are the ones that the next decade of AI growth will flow through. Bitzero is one of them. The OneQode lease is the first public confirmation that the strategic asset has real, contracted, long-duration buyers willing to pay billions for it.

The window to position before the market understands the shape of the war is open right now. It will not stay open for long.

By. Josh Owens