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By: Admin April 30, 2026

Nearly 40% of Data Centers Will Miss 2026 Deadlines

A new analysis shows almost 40% of U.S. data center projects planned to open this year are already running at least three months behind schedule. The delays affect major builds from Microsoft, Oracle, OpenAI, and others, according to satellite imagery and permit tracking.

The Financial Times worked with geospatial analytics firm SynMax and industry tracker IIR Energy to measure construction progress. They looked at land clearing and foundation work against public timelines, finding widespread slippage on high-profile AI infrastructure projects.

OpenAI projects in particular face labor shortages, with construction executives citing a lack of electricians and pipe fitters to staff multiple sites. SynMax also estimates more than 60% of 2027 projects have not even broken ground yet.

What the Companies Say

Hyperscalers push back on the findings. OpenAI said its data center buildout with Oracle and partners is “on schedule and accelerating,” pointing to progress in Texas sites. Oracle similarly stated its OpenAI facilities are moving forward as planned.

Industry executives, however, told the Financial Times that chronic shortages of skilled labor, power capacity, and specialized equipment are the main culprits. Securing permits has also slowed things down.

The Bigger Challenges

Data center construction faces multiple bottlenecks:

  • Component shortages. AI demand has depleted supplies of GPUs, memory, and storage, with hard drive makers booked through 2027.
  • Power constraints. Massive GPU power needs are overwhelming grids, pushing operators toward nuclear and modular power solutions.
  • Regulatory pushback. Maine has paused new data centers through 2027, and 11 other states are considering similar restrictions over grid strain and environmental concerns.

Why It Matters

These delays threaten the AI expansion timeline. Enterprises and cloud providers counting on new capacity for training and inference may face longer waits, higher costs, and supply chain ripple effects.

The gap between announced projects and actual completions highlights how fast AI growth is outpacing infrastructure buildout

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