AI Has a Power Problem. Bloom Energy Fixes it.
Why our family office invested in the company building power for the intelligence economy
Disclosure: Our family office owns shares and options in Bloom Energy BE 0.00%↑ . This essay explains our thesis and the risks we see. It is not investment advice. Figures and public developments are current through July 27, 2026.
Why our family office invested in the company building power for the intelligence economy
The AI boom looks like software from a distance.
Up close, it looks like a construction site.
It is concrete, copper, transformers, cooling systems, gas lines, permits, switchgear, and power. Enormous amounts of power. The most advanced chips in the world do nothing while they sit in a warehouse waiting for an energized data center.
That physical constraint is why our family office invested in Bloom Energy.
We did not invest because fuel cells are new. They are not. We did not invest because Bloom has discovered free or carbon-free electricity. It has not. We invested because the unit of competition in AI is changing.
The first phase of the AI race was about access to models.
The second was about access to chips.
The next is about access to energized megawatts.
Bloom sells those megawatts faster than much of the traditional power industry can deliver them. Its solid oxide fuel cells can be built in a factory, shipped in modular blocks, installed onsite, and turned on without waiting for a major transmission project or a new central power plant.
The product is electricity.
The value is time.
The grid runs on industrial time
Electric utilities were not designed for the current moment.
They were built around long-range forecasts, measured demand growth, centralized generation, and infrastructure that could take years to approve and build. That model made sense when electricity demand grew slowly and predictably.
AI broke the forecast.
A single new AI campus can require hundreds of megawatts. The largest proposed campuses are measured in gigawatts. They appear faster than utilities can build substations, transmission lines, and generation. At the same time, gas turbines face multi-year order backlogs. Nuclear power takes longer. Renewables can be built quickly, but a data center needs firm power at night, during bad weather, and when the grid is already strained.
The old energy system asks customers to wait.
The AI economy cannot wait.
This is not impatience for its own sake. An unpowered AI factory is stranded capital. The land has been bought. The building is going up. The GPUs may already be committed. The customer contracts often have delivery schedules and performance requirements. Every month without power is a month without compute revenue.
That changes the purchasing decision.
A data center developer is no longer asking only, “What is the cheapest electricity over twenty years?” The developer is also asking, “What can I turn on next year?” A solution can cost more per megawatt-hour and still create far more value if it begins earning revenue several years earlier.
Time to power has become part of the cost of power.
What Bloom builds
Bloom’s Energy Server uses solid oxide fuel cells, or SOFCs, to convert fuel into electricity through an electrochemical reaction.
Most power plants burn fuel to create heat, use that heat to spin machinery, and turn mechanical motion into electricity. Bloom skips much of that chain. Its cells operate at high temperatures and convert the chemical energy in natural gas, biogas, or hydrogen into electrical energy without combustion at the point of generation.
That distinction creates several advantages.
The system has few moving parts. It uses little water during normal operation. It produces very low levels of local pollutants such as nitrogen oxides, sulfur oxides, and particulate matter compared with combustion engines. It is quiet, compact, modular, and capable of running around the clock.
It is also a factory product.
Bloom does not need to design a new power plant from scratch for every customer. The same cell, stack, module, server, and power-block architecture can be repeated from a small commercial installation to a campus measured in hundreds of megawatts.
That modularity matters because it changes how power capacity gets built. Traditional generation arrives as a project. Bloom capacity can arrive as a product.
Print the cells. Build the stacks. Assemble the servers. Ship another block.
That is the mechanism behind the speed.
Oracle moved from trial to platform
Oracle is the clearest proof of what changed.
In July 2025, Oracle and Bloom announced that Bloom would deploy onsite fuel-cell power at selected Oracle Cloud Infrastructure data centers. The original promise was aggressive: power an entire data center within 90 days.
Bloom says the first system was operational in 55.
That execution turned a vendor relationship into a platform decision. In April 2026, the companies expanded the partnership. Oracle contracted for an initial 1.2 gigawatts of Bloom capacity deploying across U.S. projects through 2027, under a master agreement supporting up to 2.8 gigawatts.
Those numbers are enormous for the fuel-cell industry. Bloom had deployed roughly 1.5 gigawatts across its entire history when the original Oracle collaboration was announced. One customer’s framework is now almost twice that cumulative figure.
Oracle has a reason to move this aggressively. Its cloud infrastructure business is growing faster than its power supply can comfortably follow. Oracle finished fiscal 2026 with $638 billion of remaining performance obligations, up 363% from the prior year, while quarterly infrastructure-as-a-service revenue grew 93%.
That backlog is not an abstract accounting number. It is a claim on future data centers.
Oracle needs buildings, chips, cooling, networking, and electricity to turn that contracted demand into revenue. Bloom helps remove one of those dependencies from the utility timeline.
The relationship has also moved beyond using fuel cells as a bridge. Oracle and its partners selected Bloom to provide up to 2.45 gigawatts for Project Jupiter in New Mexico. The revised plan replaces proposed gas turbines and diesel generators with a large fuel-cell microgrid.
That is not backup power. That is the power plant.
Nebius is buying certainty
Nebius NBIS 0.00%↑ shows the same shift from the perspective of an AI-native cloud provider.
The company has signed large, long-term compute agreements and plans to deploy more than five gigawatts of NVIDIA systems by the end of 2030. Its growth is limited not only by demand for compute but by its ability to deliver that compute on schedule.
In May 2026, Nebius selected Bloom for its first U.S. fuel-cell deployment. The project is designed to provide approximately 250 megawatts of guaranteed capacity using about 328 megawatts of installed equipment. The capacity is expected to come online in three phases, and Nebius says the full installed system is planned to operate this year.
The planned fuel cells replace reciprocating engines.
The commercial structure is revealing. According to Nebius’s SEC disclosure, Bloom will install, operate, and maintain the systems. Each phase has a ten-year supply term. Nebius will pay aggregate monthly service fees of up to $2.6 billion over the agreement.
Nebius is not simply buying boxes. It is buying capacity, electricity, installation, operations, maintenance, and performance.
In other words, it is transferring a hard infrastructure problem to a specialist.
That matters for a company trying to scale quickly. The more of the power stack Nebius can turn into a contracted service, the more attention and capital it can put into compute, software, customers, and deployment.
Oracle is using Bloom to control the power architecture.
Nebius is using Bloom to control the delivery schedule.
Both are buying certainty.
Power is becoming part of the computer
There is another reason this matters.
The boundary between a data center and its power system is starting to dissolve.
AI workloads create dense and rapidly changing demand. A conventional data center pulls alternating-current power from the grid, moves it through transformers and switchgear, converts it to direct current, maintains batteries and uninterruptible power systems, and converts voltage again before electricity reaches the chips.
Every step adds equipment, space, losses, and failure points.
Fuel cells naturally produce DC power. Bloom has been developing its platform around emerging 800-volt DC data center architectures, load following, and grid-independent microgrids. The company’s systems can ramp with changing loads and use inverter controls to manage voltage and frequency without relying on rotating machinery.
The long-term opportunity is not just putting a different generator beside the same data center.
It is redesigning the power path from fuel to compute.
If onsite DC generation can remove conversion steps, reduce switchgear, shrink the backup architecture, and preserve more campus space for revenue-producing equipment, then the comparison with a turbine becomes too narrow. The power system begins to improve the data center itself.
The power architecture becomes part of the compute architecture.
That could become one of Bloom’s strongest advantages. Speed gets the company into the project. Integration can keep it there.
Can Bloom build fast enough?
Large orders are useful only if Bloom can manufacture and install the product.
The formal plan has been to double annual production capacity from roughly one gigawatt to two gigawatts by the end of 2026. Bloom says its existing manufacturing footprint can eventually accommodate approximately five gigawatts of annual output.
Those statements are easy to mix up.
Bloom does not have five gigawatts of fully installed annual capacity today. It has facilities with enough space and infrastructure to scale toward that level. According to the company’s 2025 annual report, each additional gigawatt within that footprint is expected to take six to nine months and require $100 million to $150 million of capital.
That is a compelling expansion model. Adding a gigawatt of manufacturing capacity for a fraction of the capital required to build a gigawatt-scale generating asset gives Bloom a way to follow demand without making one irreversible factory bet.
But the ramp will not be frictionless.
An exit run rate of two gigawatts does not mean Bloom can ship two gigawatts during 2026. Capacity is being added throughout the year. The average available capacity will be lower than the December run rate, with the fuller benefit appearing in 2027.
Manufacturing is also only one link. Bloom depends on specialized materials, suppliers, installation contractors, electrical equipment, gas infrastructure, permits, financing, and customer-site readiness. Product can leave a factory faster than a data center campus can become ready to receive it.
This is why we view two gigawatts by year-end as a credible operating target and five gigawatts as valuable optionality, not near-term production.
The distinction matters.
Capacity is real when it can make, ship, install, and service product at quality. Floor space is only the beginning.
The cost curve has three layers
SOFC costs should fall as production scales, but “cost” needs to be unpacked.
There is the factory cost of the hardware.
There is the installed cost of the full system.
There is the lifetime cost of the electricity.
The first curve should fall fastest. Higher production volume improves factory utilization. Better cell-printing yields reduce waste. New stack designs can produce more power from the same material. Standardized power blocks simplify assembly and installation. Suppliers can invest against larger and more predictable orders.
Bloom says it has delivered double-digit product-cost reductions for many years. Our base case is more conservative going forward: roughly 8% to 12% annual reductions in factory cost per kilowatt over the next three to five years, with installed costs falling more slowly.
The lifetime cost will move slower still.
Natural gas has a market price. Financing has a market price. Installation includes local labor and civil work. High-temperature fuel-cell stacks degrade and require periodic replacement. Lower hardware cost helps, but durability, efficiency, and service labor will determine how much of that improvement reaches the cost of electricity.
This is why stack life may matter more than stack price.
A longer-lasting module reduces replacement material, truck rolls, field labor, downtime, and service reserves. It also maintains better efficiency for longer, creating more electricity from the same fuel. One materials-science improvement can lower several costs at once.
The U.S. Department of Energy’s long-term SOFC targets include $225 per kilowatt for the stack and $900 per kilowatt for the system, along with low degradation and greater than 60% efficiency. Those are research targets, not Bloom’s current commercial pricing. They show how much room the technology may still have to improve.
There is also a difference between cost and price.
When customers are desperate for power, Bloom does not need to pass every manufacturing gain through immediately. Some cost reduction can show up first as higher margins. That is normal. Prices fall fastest when supply expands, competition arrives, and Bloom begins pursuing markets where the customer is less willing to pay for speed.
The cost curve expands the market.
The scarcity premium funds the expansion.
What comes after data centers
AI is the first large market willing to pay heavily for time to power. It will not be the last.
As SOFC costs decline, adoption should move outward from the places where reliable electricity has the highest value.
Advanced manufacturing is an obvious next step. Semiconductor plants, pharmaceutical facilities, food processors, and chemical sites need steady power and cannot tolerate grid interruptions. Many also need heat, hot water, steam, or cooling. Bloom’s high-temperature exhaust can be captured in a combined heat and power system, pushing total energy efficiency above 90% in the right application.
Hospitals, universities, and critical infrastructure value resilience. EV fast-charging hubs and fleet depots can face years of distribution-grid upgrades before receiving the capacity they need. Utilities can use load-following fuel cells as modular local capacity where demand is growing faster than wires can be built.
Biogas creates another path. A dairy, landfill, or wastewater plant already produces methane. Converting that fuel onsite avoids flaring or expensive upgrading while producing firm electricity.
Carbon capture may become important because the SOFC process can create a concentrated carbon dioxide stream that is easier to separate than the exhaust from a conventional combustion plant. Marine auxiliary power, hydrogen, and fully fuel-cell-powered ships are longer-term possibilities.
Some markets will remain difficult.
We do not expect SOFCs to sweep into ordinary homes or displace cheap wholesale grid power soon. Small systems lose scale. Natural gas still costs money. Maintenance still matters. Solar, batteries, turbines, engines, nuclear, and the grid will keep improving.
Bloom does not need to win everywhere.
It needs to win where waiting is expensive.
This is good news, not perfect news
The Oracle and Nebius agreements validate Bloom’s central claim: onsite fuel cells can move from niche resilience equipment to primary power for the AI economy.
They also expose the risks.
Bloom issued Oracle a fully vested warrant for approximately 3.53 million shares at $113.28 as part of the relationship. Oracle later disclosed that it sold Bloom warrants during fiscal 2026. That commercial incentive improved Oracle’s economics and should be included in any honest reading of the deal.
Project Jupiter is also not finished. Its revised fuel-cell plan still faces an air-permit process, and a proposed natural-gas pipeline route encountered a right-of-way denial from the New Mexico State Land Office. Fuel cells shorten one critical path. They do not repeal permitting, fuel infrastructure, or local politics.
Natural-gas SOFCs are not carbon-free either. They produce far fewer local pollutants and use far less operational water than many combustion alternatives, but they still emit carbon dioxide. Their climate value depends on what they replace, how efficiently they run, what fuel they use, and whether carbon capture becomes economic.
There are business risks too: customer concentration, AI capital-spending volatility, manufacturing defects, stack-life assumptions, service costs, supplier quality, competing technologies, and the possibility that turbine availability or grid capacity improves faster than expected.
We are investors, not believers. The difference is vital.
Belief looks for reasons the thesis must be right. Investing looks for the mechanism, the evidence, the price, and the ways the thesis can break.
The evidence today says Bloom has moved from selling a cleaner onsite generator to selling a faster path to productive infrastructure.
That is a much larger market.
The intelligence economy needs physical rails
The popular story of AI is that intelligence is becoming abundant.
That is true at the model layer. It is not yet true at the infrastructure layer.
Intelligence still has to run somewhere. It needs chips. Chips need buildings. Buildings need cooling. Everything needs power.
The more abundant digital intelligence becomes, the more pressure it puts on scarce physical systems. This is the paradox at the center of the AI buildout. Software can scale instantly. Electricity cannot.
The companies that close that gap will capture enormous value.
Some will build chips. Some will build data centers. Some will build turbines, reactors, transmission lines, batteries, cooling equipment, and gas infrastructure. Bloom’s opportunity is to build the modular power layer that lets a customer stop waiting for the full energy system to catch up.
That is why the Oracle expansion matters.
That is why the Nebius adoption matters.
That is why our family office invested.
Bloom is not merely participating in the AI boom. It is working on one of the constraints that determines how fast the boom can continue.
The old model treated electricity as a bill.
The new model treats power as infrastructure, architecture, and schedule.
AI has made intelligence cheaper. It has made time more valuable.
Bloom Energy BE 0.00%↑ sells time.
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