AI Data Center Expansion Faces Growing Power and Community Challenges, Bloom Energy Report Reveals
Bloom Energy, a global provider of advanced power solutions, has released a mid-year update to its 2026 Data Center Power Report, offering fresh insights into the rapidly evolving data center industry. The report highlights a sector experiencing unprecedented growth fueled by artificial intelligence (AI), while also facing mounting challenges related to power availability, rising construction costs, and increasing scrutiny from local communities.
According to the findings, data center developers remain optimistic about long-term growth prospects and are planning substantial capacity additions through the remainder of the decade. However, the industry continues to struggle with one critical issue: securing enough power to support the next generation of AI-driven facilities. While access to electricity remains the primary obstacle, developers are now encountering a wider range of challenges that could affect the speed and scale of future projects.
The report notes that AI adoption is accelerating at an extraordinary pace, transforming the demand profile for data centers worldwide. A major shift is occurring within the AI ecosystem as inference workloads now account for more than half of all AI computing activity. This marks an important transition from the initial phase of training large AI models toward deploying those models in real-world applications. As organizations integrate AI into business operations, consumer services, and industrial processes, the need for reliable computing infrastructure continues to grow.
This surge in AI-related demand is expected to drive significant investments in new data center construction. Developers anticipate that additional facilities will be required to accommodate increasingly complex workloads and support emerging technologies. Yet despite the strong demand outlook, power constraints remain the most significant limiting factor.
The survey found that many developers are unwilling to wait for traditional grid expansion projects to catch up with demand. Approximately 61% of respondents indicated they are prepared to bring their own power generation resources if adequate grid capacity is unavailable. This finding underscores the urgency of the power challenge and highlights the growing interest in onsite energy solutions that can accelerate project deployment.
As developers seek alternative approaches to securing electricity, onsite generation technologies are becoming increasingly attractive. These systems can help reduce dependence on overburdened utility networks while enabling data center operators to bring facilities online more quickly. In an environment where AI demand continues to outpace infrastructure development, access to reliable and scalable power has become a key competitive advantage.
While energy availability remains the dominant concern, the report reveals that community-related issues are emerging as another major hurdle for data center expansion. Over the past six months, local opposition and regulatory scrutiny have intensified across many regions of the United States. Communities are paying closer attention to the potential impacts of large-scale data center projects, particularly as AI-related development accelerates.
Developers report that concerns surrounding electricity consumption, water usage, and grid reliability are among the most influential factors shaping public opinion. Residents and local policymakers are increasingly questioning how large data centers will affect utility costs, environmental sustainability, and the availability of resources for existing customers.
The growing focus on these issues has translated into tangible policy actions. As of May 2026, at least 18 state-level bills and 86 local moratorium proposals related to data center development had been introduced across the United States. These measures reflect a broader trend toward increased oversight and regulation of large infrastructure projects, particularly those associated with the rapidly expanding AI economy.
The report suggests that developers will need to place greater emphasis on community engagement and environmental responsibility if they hope to maintain project momentum. Addressing local concerns early in the planning process may become just as important as securing land, equipment, and financing.
Another significant trend identified in the report is the growing role of carbon capture technologies in future data center operations. As sustainability expectations continue to rise, operators are exploring ways to reduce emissions while maintaining access to reliable power.
Bloom Energy’s findings indicate that nearly one-third of data center sites utilizing onsite power generation are expected to incorporate carbon capture systems by 2030. This represents a notable shift from theoretical discussions toward practical implementation. The adoption of carbon capture technologies could help operators balance the need for expanded energy capacity with increasing pressure from regulators, investors, and communities to reduce environmental impacts.
The report also highlights a potential readiness gap that could slow the pace of AI innovation in coming years. Chip developers and data center developers appear to have different expectations regarding the timeline for adopting advanced infrastructure technologies.
According to survey responses, semiconductor companies anticipate widespread deployment of high-density computing architectures and rack-level direct current (DC) power designs by 2028. However, many data center developers do not expect to be ready for these technologies until a year later. This discrepancy creates a risk that infrastructure development could lag behind advances in AI hardware.
As AI chips become more powerful and energy-intensive, data centers will need to evolve rapidly to support new cooling requirements, power distribution systems, and operational standards. Failure to keep pace with hardware innovation could limit the industry’s ability to fully capitalize on the next wave of AI growth.
Natalie Sunderland, Chief Marketing Officer at Bloom Energy, emphasized that while power availability remains the industry’s largest challenge, developers must also address the concerns of the communities where facilities are being built.
She noted that the next phase of data center expansion will depend on solutions that minimize pressure on local infrastructure while enabling operators to add capacity quickly. Technologies such as clean onsite power generation, she said, may play an increasingly important role in helping developers meet both operational and community expectations.
The 2026 Data Center Power Report Mid-Year Pulse is based on a survey of 156 decision-makers from across the data center ecosystem, including hyperscale operators, colocation providers, neocloud companies, data center developers, and chip manufacturers. Conducted in April 2026 through a double-blind research process, the study reflects a broad range of industry perspectives. Approximately 79% of participants were based in the United States. Survey findings were further supported by interviews with industry leaders and analysis of public announcements.
The report paints a picture of an industry entering a critical phase of growth. While AI continues to fuel unprecedented demand for digital infrastructure, success will increasingly depend on the ability to secure power, earn community support, adopt sustainable technologies, and prepare facilities for the next generation of AI hardware.
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