Securing a site and pointing to surging AI demand is no longer enough to get a data center built, according to new legal analysis from Foley & Lardner LLP.
The firm’s November 2026 assessment argues that the ability to navigate regulatory, community, and financial complexity has become the true competitive dividing line in the sector.
Demand for AI compute and digital infrastructure remains strong, but that strength is no longer sufficient to guarantee that a given project will move forward.
Public scrutiny has emerged as a powerful force reshaping the development landscape, adding pressure that developers could not have easily anticipated even two years ago.
Local communities are paying closer attention to the full footprint of proposed facilities, including electricity costs, power availability, water consumption, and the wider economic impact on surrounding areas.
That heightened community attention is translating into longer permitting timelines and a more demanding regulatory environment across multiple markets.
Tax incentives, long treated as a reliable tool for attracting data center investment, are now facing a tougher audience at both the local government and voter level.
Elected officials and residents are increasingly measuring abatements and other financial concessions against the concrete economic and community benefits a proposed project can actually deliver.
The financing environment is compounding those pressures, with debt and capital markets tightening at precisely the moment that political and regulatory headwinds are intensifying.
That combination creates a compounding obstacle for new development, particularly for projects that have not yet secured firm financial backing or creditworthy anchor tenants.
The Foley & Lardner analysis suggests that power availability is emerging as a critical filter, with fundamentals around grid access increasingly separating credible projects from speculative ones.
Developers who have locked in secured power, established financial relationships, and identifiable community benefits are described as best positioned to advance their projects in this environment.
The report’s broader argument is that the next chapter of AI infrastructure growth will be shaped by early-stage preparation rather than by the scale of underlying demand.
Projects that surface community, regulatory, and financing challenges late in the development process are likely to face the heaviest delays and the greatest risk of not proceeding at all.