Overview:
On-Site Power Advantage: Bloom Energy’s fuel cells offer data centers an alternative when grid electricity is insufficient or delayed.
Strong Growth Momentum: Major Oracle and Brookfield agreements highlight growing interest in AI-related power infrastructure.
Execution Remains Critical: Manufacturing capacity, project delivery, costs, and carbon emissions will shape Bloom’s long-term success.
Artificial intelligence needs more than advanced chips and powerful computers. Every AI data center also needs a large, steady supply of electricity. Traditional power projects can take years to reach full capacity, which creates a serious problem for tech companies that want to build new data centers fast. KR Sridhar, founder and CEO of Bloom Energy, aims to solve this problem with fuel cells that produce electricity at the site.
From Space Research to Clean Power
Sridhar founded Bloom Energy in 2001 after work on a NASA project that explored life-support systems for Mars. His research focused on ways to produce energy and support life in harsh conditions. He later brought that technical knowledge into the commercial power market. Bloom now makes solid oxide fuel cells that turn fuel into electricity through an electrochemical process. These systems can supply power near large buildings, factories and data centers.
How Bloom Energy Powers AI Data Centers
Bloom's Energy Server uses fuel cells to produce electricity without the usual combustion process found in gas turbines. Many systems use natural gas, although fuel options depend on the equipment and site. The units can work together to serve large power needs. This setup gives data center operators another option when a utility cannot supply enough electricity on the required schedule. Natural gas fuel cells still produce carbon emissions, so the technology does not offer zero-carbon power.
Oracle and Brookfield Strengthen the Growth Story
Bloom has secured major agreements as demand for AI infrastructure rises. In April 2026, Oracle expanded its agreement with Bloom to cover up to 2.8 gigawatts of fuel-cell capacity. The initial 1.2 gigawatts formed the contracted base, with deployment underway and work set to continue into 2027. The full 2.8 gigawatts does not represent capacity already installed at customer sites.
Brookfield also expanded its AI infrastructure financing framework with Bloom in June 2026, from USD 5 billion to USD 25 billion. The plan aims to help fund projects that use Bloom's on-site power systems. The amount represents a financing framework, not guaranteed revenue for Bloom. Still, the deal links power supply with the capital needed to build large AI facilities.
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Record Revenue Shows Strong Demand
Bloom reported revenue of USD 1.065 billion for the second quarter of 2026, up 165.5% from the same quarter a year earlier. Product revenue reached USD 935.4 million, a rise of 215.4%. The company also reported USD 182.2 million in generally accepted accounting principles (GAAP) operating income, compared with a USD 3.5 million loss a year earlier. Non-GAAP earnings per share reached USD 0.78, up from USD 0.10.
After these results, Bloom raised its full-year 2026 revenue outlook to USD 3.9 billion to USD 4.2 billion. The company also forecast non-GAAP operating income of USD 800 million to USD 900 million and non-GAAP earnings per share of USD 2.55 to USD 2.85. These targets point to strong demand, but the final results will depend on delivery schedules, costs and customer orders.
A New Power Design for AI Servers
Bloom introduced a report on September 16, 2026, that focused on 800-volt direct-current power for AI data centers. The company argued that its fuel cells can supply direct current in a way that may reduce the need for some power conversion equipment. For a hypothetical one-gigawatt AI data center, Bloom estimated a USD 3.6 billion cut in non-compute capital costs and a USD 5.5 billion reduction in five-year total ownership costs. These figures come from the company's own model, not from a completed project with verified savings.
Growth Comes with Real Risks
Bloom must now turn large agreements into completed projects and steady cash returns. Factory output, supply chains, fuel costs and site permits could affect delivery schedules. Other options, such as gas turbines, grid upgrades, batteries and nuclear power, may also suit certain customers better. Natural gas use raises further questions about carbon emissions and long-term climate goals.
Bloom has also set a target of about two gigawatts of annual factory capacity by the end of 2026. This goal matters only if the company can produce, ship and install the units at the pace customers need.
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What’s Next for Sridhar
Bloom's next major test comes with its third-quarter results, due on October 22, 2026, after market close. The report should offer more detail on revenue, margins, cash flow and progress on major customer contracts. Sridhar's plan addresses a clear need: AI data centers cannot run without dependable power. The lasting value of Bloom's strategy will depend on whether the company can deliver that power at scale, at a competitive cost and with sound financial results.
FAQs
1. Who is KR Sridhar?
KR Sridhar is the founder and CEO of Bloom Energy, a company developing fuel cell systems for on-site electricity generation.
2. How does Bloom Energy power AI data centers?
Bloom uses solid oxide fuel cells to generate electricity through an electrochemical process, allowing data centers to produce power close to where it is needed.
3. Why are Bloom Energy’s Oracle and Brookfield agreements important?
The Oracle agreement supports potential large-scale fuel cell deployments, while Brookfield’s financing framework aims to help fund AI infrastructure projects using Bloom’s power systems.
4. Is Bloom Energy’s technology completely carbon-free?
No. Although fuel cells generate electricity without conventional combustion, systems using natural gas still produce carbon emissions. Their environmental impact depends on the fuel and overall system configuration.
5. What are the biggest risks facing Bloom Energy?
Key risks include manufacturing constraints, supply-chain issues, installation delays, fuel costs, competition from alternative power sources, and the challenge of converting major agreements into profitable projects.