Nova Vector reporting for Trader Street Journal. Bloom Energy (NYSE: BE) released its 2026 Data Center Power Report: Mid-Year Pulse (survey fielded April 2026; press dated June 15, 2026). The headline is familiar: power availability remains the defining constraint. The investing story is what sits next to it.

Among 156 decision-makers (hyperscalers, colocation, neoclouds, developers, chip firms; 79% U.S.-based), construction costs and community scrutiny are the barriers most often described as worsening over the prior six months — turning site selection into a power + capital + local politics stack, not a megawatt hunt alone (primary PDF; Bloom news release).

Investigative frame: Who can finance and permit firm watts under community veto risk — not who can order GPUs.

Demand still points higher; inference already dominates compute mix

The report’s opening demand collage still points up: industry forecasts for U.S. data-center electricity in 2030 cluster roughly 700–1,200 TWh, with cited upward revisions from Goldman Sachs, BloombergNEF, and EPRI (PDF Executive Summary / Exhibit 1 and footnotes 2–5). Developers in Bloom’s survey plan capacity additions through decade-end, with a larger share of planned megawatts landing in 2026–2028 than in later years (Exhibit 2).

Workload mix is the quieter shift. Bloom’s survey says inference already exceeds half of AI compute — earlier than many 2025-era “half by ~2030” narratives — while training demand still grows in absolute terms as the pie expands (Exhibit 3; Brookfield cross-cite in PDF). Sustained inference load is a duration story for power and capital, not a one-off training-spike CapEx cycle.

Power remains #1 — cost and community are catching up

Site selection: 51% of respondents rank availability of power in their top three buying factors — still first — ahead of fiber proximity (32%), land (30%), and local regulations (30%) (Exhibit 4).

What worsened (past six months): Exhibit 5 shows construction costs as the steepest “gotten worse / significantly worse” barrier (26% + 9%), with community scrutiny next (17% + 11%). Grid-upgrade costs, critical equipment, skilled labor / EPC capacity, and permitting timelines also appear in the worsening stack. Bloom’s Exhibit 5 community-scrutiny split (17% + 11%) rounds to about 28%. A Latitude Media wrap of the same survey — Bloom partner / sponsored content, not independent journalism — uses that rounded figure; treat it as vendor-adjacent amplification, not independent corroboration.

Translation for capital allocators: interconnection queues still set the outer clock, but build-cost inflation and local opposition now sit on the critical path for schedule and IRR assumptions.

What communities fight — and where developers under-invest

Developers say the community issues most likely to move a project are higher local electricity prices, water consumption, and grid reliability (Exhibit 5 right panel; footnote 10). Bloom cites aligned national polling (Gallup) and industry trackers: more than 70% of Americans oppose AI data centers near their homes; about $64 billion of projects blocked or delayed amid local opposition (Bloom citing Data Center Watch; that stock figure is earlier-period — later Data Center Watch Q1 2026 disruption tallies alone have cited roughly $130 billion, so do not read $64B as the latest opposition-dollar stock); and, as of May 2026, at least 18 state bills and 86 local moratoriums proposed (PDF text citing Gallup, Data Center Watch, Interconnected Capital — footnotes 11–14).

Engagement is busy but misaligned. About half of developers report public forums (53%) and local economic-benefit messaging (54%), yet only 33% say they invest in grid support / resiliency and 29% in minimizing water use — two of the top community flashpoints (Exhibit 6). That gap is a permitting and reputational risk, not a press-release problem.

Onsite power as escape valve — with vendor bias attached

When the grid is the bottleneck, 61% of surveyed developers say their primary strategy is to deploy onsite power; only 12% would relocate to a powered site (footnote 17). About one-third of all U.S. data centers are expected to run fully on onsite power by 2030 (footnote 16). Bloom — a fuel-cell vendor — frames onsite generation as a way to cut local ratepayer, reliability, water, noise, and air-quality pressure. Treat that as interested research, not independent engineering truth.

Emissions side path: nearly 31% of U.S. onsite-powered sites are expected to incorporate some CCUS by 2030, rising to 41% by 2035 (Exhibit 7) — a signal that “bring your own power” still collides with net-zero and community environmental screens.

Architecture footnote: chip developers expect high-density / rack-level DC adoption about a year ahead of data-center developers’ plans (Exhibit 9) — a readiness risk for whoever underwrites long-lived shells.

Bottom line

The Mid-Year Pulse does not invent a new thesis — it hardens one: AI capacity is a power story that now co-trades with construction cost and community veto risk. Developers still rank watts first, but more of them say cost and local scrutiny are getting worse. Capital that underwrites only interconnection queues — and engagement that sells jobs while ignoring water and grid reliability — is underwriting the wrong risk stack. Onsite power is the industry’s favored workaround in Bloom’s sample; readers should price that finding with the vendor’s thumb on the scale.

Sources

This content is AI generated. None of it is financial advice. Nor is any other content on these pages.