Bloom Energy's fuel cells are gaining adoption for AI data center power, with stock forecasts calling for a rise to $309.
Bloom Energy's stock price hit a recent high of $292.72 on September 25, up 86% from $157 on July 29 just two months earlier. The fuel cell manufacturer significantly outperformed both the Nasdaq Composite Index and the Philadelphia Semiconductor Index over this period, also surpassing popular memory stocks such as SanDisk, which rose about 62%, and Micron, which gained roughly 32%.
The driver behind this outperformance lies in a critical constraint facing AI data center expansion. While chips can be purchased readily, electrical power cannot be deployed as quickly. Slow grid expansion and extended delivery times for power generation equipment have created an urgent need for rapid power deployment. This dynamic is opening new growth opportunities for the fuel cell industry, where Bloom Energy operates.
According to Goldman Sachs projections, global data center electricity demand will grow 170% by 2030 compared to 2025, with over 60% of incremental growth coming from the United States. However, grid infrastructure has not kept pace. High-voltage transmission line construction in the U.S. fell from an average of 1,700 miles annually during 2010–2014 to just 350 miles during 2020–2023. For grid-connection projects, the median wait time from application to commercial operation is approximately five years.
This lag has prompted data centers to deploy power generation equipment on-site or nearby—a practice known as "behind-the-meter generation." Goldman Sachs raised its 2030 forecast for global behind-the-meter capacity at data centers from 40 GW to 67 GW, projecting it could meet about 25% of global data center power demand. Some operators have signed power supply contracts for up to 15 years, establishing on-site generation as a permanent infrastructure component.
Bloom Energy's competitive advantage rests on delivery speed rather than cost. As a solid oxide fuel cell manufacturer, the company faces a cost disadvantage: in a 500-megawatt data center model, fuel cells carry a levelized cost of electricity around $117/MWh, compared to $80 for reciprocating engines and $81 for combined-cycle gas turbines. Even with a 30% investment tax credit, fuel cell costs only decline to approximately $90/MWh.
What drives customer interest is delivery timeline. Solid oxide fuel cell manufacturers quote 6 to 12 months from order to power supply, whereas reciprocating engines require 1.5 to 2.5 years and heavy-duty gas turbines require 5 to 7 years. Earlier power supply means earlier computing revenue—a crucial advantage for AI projects racing to launch. In Goldman Sachs' scoring, time-to-commissioning accounts for 20% of the evaluation and availability for 15%; fuel cells consequently ranked highest overall.
Supply constraints across the power equipment industry further strengthen the case for fuel cells. GE Vernova's combined backlog and reserved capacity totals 116 gigawatts, with capacity sold out through 2030. Reciprocating engines face comparable pressures: Cummins has orders booked through 2028, and INNIO's backlog and reserved capacity exceed 15 gigawatts. Data center operators must therefore evaluate multiple power solutions simultaneously.
While Goldman Sachs expects small modular nuclear reactors to offer long-term on-site power potential, construction timelines make large-scale deployment unlikely before 2030. Until then, gas turbines, reciprocating engines, and fuel cells will jointly meet incremental demand. Bloom Energy's opportunity stems directly from this reality: slow grid interconnection and delayed delivery of traditional equipment elevate the commercial value of rapid power deployment.
The stock has recently pulled back sharply, breaking below the 0.618 Fibonacci retracement level at $277.16 and touching an intraday low of $259.46, now testing its 20-day moving average at $260.22. This represents a correction within an uptrend, with no trend reversal yet confirmed. The 0.5 Fibonacci retracement level at $254.28 serves as the critical pivot for determining strength or weakness in the next phase.
The stock has broken below both the 5-day moving average at $272.84 and the 10-day moving average at $270.01, interrupting the short-term uptrend. However, the 20-day moving average remains above the 80-day moving average at $249.18 and the 160-day moving average at $240.96, indicating the medium-term structure has not yet turned bearish. The intraday low approaching the 20-day moving average suggests some buying support at this level.
If the stock price reclaims the 0.618 Fibonacci retracement level at $277.16, the rebound structure should be repaired, with the next target potentially reaching the 0.786 Fibonacci retracement level at $309.75. The primary downside risk is further losses that decisively break the 0.5 Fibonacci retracement level at $254.28, potentially driving the price toward $249.18 and the support zone between $240.96 and $231.40.