The bottleneck in AI infrastructure has quietly shifted. Interconnection approval used to be the hard part. Now it's what comes after.
What's Happening
Three converging signals define the current moment in AI infrastructure real estate.
First, post-approval grid delays are now the dominant planning risk. PJM (the grid operator covering much of the US East, Midwest, and Mid-Atlantic) data shows that interconnection queue approval, long treated as the primary gating item, has been eclipsed by what follows: engineering studies, upgrade cost negotiations, and construction sequencing on the utility side. AI campus developers are now building multi-year post-approval buffers into their timelines. For teams expecting to break ground and be operational within 18 months, this is a structural surprise.
Second, organized community opposition is materially extending timelines on power consumption, water use, and permitting grounds. This is no longer a fringe issue. Coordinated local resistance is showing up across jurisdictions that were previously considered permitting-friendly. Site selection teams treating community engagement as a checkbox item are getting burned.
Third, the private sector is adapting fast. VoltaGrid raised $1 billion from Blackstone and Halliburton to scale behind-the-meter (on-site power generation that bypasses the public grid) systems for data centers. Separately, a 200,000-square-foot Texas AI campus went fully off-grid after a multi-year interconnection wait, and gas microgrids are now being adopted as primary, not backup, power infrastructure across new builds. These are not edge cases. They signal a fundamental rewrite of how AI campuses get powered.
Why It Matters
The implication for clients is this: the Tier III (data center reliability tier, 99.982% uptime) colocation market is bifurcating between operators who solved power early and operators who are still fighting the queue.
For Fortune 500 enterprises deploying AI infrastructure for the first time, this distinction is invisible until it isn't. A signed lease at a facility without committed power delivery is not a capacity solution. It's a future problem. Operators like Equinix, Digital Realty, QTS, CyrusOne, and Aligned have varying power positions across markets. NoVa (Northern Virginia, the largest US data center market) is effectively capacity-constrained at the grid level. Phoenix, Dallas, and Chicago still have pockets of available power, but timelines are compressing. Site selection in 2026 requires modeling power delivery dates, not just rack availability.
For sovereign AI programs in the US and EU, the community opposition dynamic adds another layer. Large-scale national AI infrastructure projects are high-visibility targets for organized opposition. Proactive community and regulatory engagement is now a first-order planning input, not an afterthought.
On the supply side, chip and HBM (High-Bandwidth Memory, the memory architecture used in modern GPUs) constraints are emerging as co-equal bottlenecks to power. A CNAS report flags semiconductor manufacturing and HBM supply as near-term ceilings on hyperscaler GPU roadmap execution. This is being compounded by a looming Samsung factory strike that analysts project could cost $700 million per day in output, directly pressuring H200 and B200 delivery timelines. The GPU scarcity story is not over. It's evolving.
The result: hyperscaler (the largest cloud providers including AWS, Azure, GCP, and Oracle) wait lists for H200 and B200 capacity are already stretching quarters. H100 reserved instances remain available but at pricing that compute cost surveys show is inflating IT budgets significantly. Neocloud operators (specialized GPU cloud providers, an alternative to hyperscalers) operating in markets where they secured power early are holding real inventory advantages right now.
What Clients Should Do
If you are a frontier lab or large-scale AI scaleup planning training infrastructure, the power-first framework applies directly. Before modeling GPU configurations, model power delivery. Work backward from when you need compute operational to when a site needs to have committed power. In constrained markets like NoVa, that math often breaks. Secondary markets with behind-the-meter power capacity, or facilities that closed PPAs (Power Purchase Agreements, long-term electricity contracts) in 2024 and 2025, are where real availability lives.
If you are a Fortune 500 enterprise entering AI infrastructure for the first time, the server vendor shift matters. Dell, HPE, Lenovo, and Supermicro are pivoting toward managed services models. That creates room to negotiate integrated GPU stack contracts rather than just hardware pricing. Pair that with a colocation strategy at operators with committed power, and you reduce vendor lock-in while maintaining cost control.
If you are a system integrator sourcing on behalf of enterprise or government clients, the portfolio logic is the pitch. A blended strategy across one or two neocloud operators (for GPU-as-a-service capacity at 30 to 50 percent below hyperscaler list pricing, with weeks-not-quarters ramp times) plus a well-positioned Tier III colocation anchor is consistently outperforming pure hyperscaler commitments on both cost and speed.
In every case, the clients getting the best terms right now are the ones having conversations before they have a signed LOI. Power-secured colocation inventory and neocloud GPU reservations are both moving. Waiting for internal approvals to finalize before sourcing is the most common and most expensive mistake we see.
XIRR Advisors brokers reserved GPU capacity from neocloud operators and Tier III colocation space across the US. We do not broker hyperscalers. AWS, Azure, GCP, and Oracle sell direct. Our mandate is the market they cannot or do not efficiently serve: specialized GPU cloud operators and colocation facilities where power is committed and timelines are real. We canvas that market on your behalf and return a shortlist within 48 hours of receiving your requirements.
Share your region, GPU type, capacity needs, and timing, or your megawatt requirement for colocation, and we will get to work. Earlier conversations produce better terms. The service is free to clients. Providers pay our fee. Reach us at contact@xirradvisors.com or DM @XIRRAdvisors.
References
[1] Data Center Knowledge: Why AI Data Center Projects Face Years of Delays After Approval
[2] Data Center Knowledge: Organized Opposition Collides With AI Data Center Growth
[3] Data Center Dynamics: VoltaGrid Raises $1B From Blackstone and Halliburton to Expand Power System Offering
[4] Data Center Knowledge: After the Power Crunch, AI Infrastructure Hits a GPU Wall
[5] Tom's Hardware Pro: Samsung's Last-Ditch Union Talks Collapse Eight Days Before Planned 18-Day Chip Factory Strike
[6] The Next Platform: Compute and Memory Price Hikes Drive IT Spending Way Higher
Share your requirements. We'll canvas the market.
Tell us your needs (region, GPU type, capacity, timing — or MW for colocation) and we'll canvas the neocloud and colocation markets on your behalf. Shortlist in 48 hours.
Earlier conversations get better terms. When you engage early, we have time to negotiate with vendors before you need to commit. You pay nothing. Provider-paid model.