Why Smaller Data Center Projects Are Surging
Discover why smaller data center projects are gaining traction in the industry and what it means for future developments.
The data center industry has spent the better part of three years in a gigawatt arms race. Hyperscalers staked out massive campuses across Virginia, Texas, Arizona, and the Midwest — projects measured not in megawatts but in fractions of the entire U.S. grid. The assumption was simple: bigger is better, scale wins, go large or go home.
That assumption is cracking.
Development dollars are rotating back toward smaller data center projects, and the reasons are more structural than cyclical. This isn't just capital chasing the next shiny object — it's a recalibration driven by real constraints: power availability, interconnection queues, zoning battles, and the hard economics of trying to build something that actually comes online in a reasonable timeframe.
The Gigawatt Bubble Had Costs Nobody Advertised
Gigawatt-scale campuses look compelling on a pitch deck. Lock in a massive anchor tenant — typically a hyperscaler or AI infrastructure company — secure a long-term power purchase agreement, and watch the returns compound. The problem is that the path from groundbreaking to operational has become brutally long.
Utility interconnection queues in high-demand markets are stretching three to five years in some cases. Permitting fights in communities that once welcomed data center tax revenue have grown fiercer as locals push back against water consumption, noise, and industrial land use. The sheer capital required to carry a multi-hundred-megawatt project through development — before a single kilowatt of revenue — is squeezing developers who don't have a sovereign wealth fund on speed dial.
The gigawatt campus model optimized for scale but didn't account for the compounding friction of getting there.
Smaller projects, by contrast, can often tap into existing substation capacity, navigate permitting faster, and reach commissioning in 18 to 24 months rather than five or six years. In a sector where AI workloads are doubling faster than anyone forecasted, speed to market has real dollar value.
What's Actually Driving Capital Back Toward Smaller Builds
Power Is the Governing Constraint
Ask any serious data center developer what keeps them up at night, and the answer is almost always the same: power. Not capital, not land, not even fiber — power.
Large campuses require dedicated transmission infrastructure, new substation builds, and utility cooperation that can take years to materialize. A 20 to 50 MW project, on the other hand, can often be served by existing distribution infrastructure with incremental upgrades. That difference isn't marginal — it's frequently the difference between a project that pencils and one that doesn't.
In a constrained grid environment, the ability to plug into existing capacity is worth more than the economies of scale you sacrifice by building smaller.
Developers who've spent years cultivating relationships with regional utilities understand this intuitively. The sites that move are the ones where a utility engineer can say, "yes, we can serve that load" without triggering a multi-year transmission study.
AI Is Reshaping the Demand Profile
Here's the non-obvious angle: the AI infrastructure boom, which everyone assumed would accelerate the gigawatt campus trend, may actually be one of the forces pushing capital toward distributed, smaller builds.
AI inference workloads — the compute that runs after a model is trained — need to be close to end users to minimize latency. Training runs can happen anywhere with cheap power and cooling. But serving AI applications to actual users in real time requires edge proximity. A 10 to 30 MW facility in a secondary market like Columbus, Salt Lake City, or Raleigh can serve regional inference demand in ways a massive campus in rural Virginia cannot.
The market is beginning to bifurcate: massive campuses for training and bulk compute, smaller distributed facilities for inference and latency-sensitive workloads. Both will grow. But the smaller segment is growing from a much lower base, which means the percentage gains look dramatic — and the investment opportunity is less picked-over.
Regulatory and Community Dynamics Have Shifted
Northern Virginia — the undisputed capital of data center density globally — has seen rezoning moratoriums, county-level pushback, and increasingly contentious public hearings. Similar dynamics are playing out in Phoenix, where water scarcity concerns have become a legitimate political issue, and in parts of the Pacific Northwest.
Smaller projects in secondary and tertiary markets face a different reception. A 25 MW facility that brings 50 construction jobs and a few dozen permanent positions to a mid-sized county, while generating meaningful property tax revenue, is often welcomed rather than fought. The community relations math is fundamentally different at smaller scales.
The Business Case That Actually Works
Strip away the narrative and look at the economics. Smaller data center projects carry lower absolute capital requirements, which means more potential investors can participate and leverage ratios stay manageable. Development timelines are shorter, which compresses the J-curve and improves IRR even when cash yields look similar on paper.
Operationally, a 20 to 40 MW campus can be run leanly. A single experienced facility manager plus a small technical team can handle day-to-day operations without the organizational complexity of a gigawatt-scale build requiring hundreds of staff and multiple management layers.
Tenants benefit too. Colocation customers — enterprises, regional cloud providers, managed service firms — often don't need 10 MW of capacity. They need 500 kilowatts to 2 MW, reliably delivered, close to their operations, with a provider who actually picks up the phone. Smaller campuses serve that customer better than a hyperscale facility optimized for wholesale tenants dropping 50 MW at a time.
The colocation market segment that actually makes up the majority of enterprise data center customers has been underserved by the industry's obsession with headline campus announcements.
Where the Smart Money Is Positioning
Secondary markets are getting serious attention from infrastructure funds and private equity that previously ignored them. Markets like Indianapolis, Kansas City, Denver, and Charlotte offer existing fiber infrastructure, relatively unconstrained power, lower land costs, and growing enterprise bases that generate legitimate colocation demand.
Developers with experience in these markets — particularly those who've built utility relationships and understand local permitting — have a real edge. The technical requirements for a 30 MW campus aren't dramatically different from a 300 MW campus, but the competitive dynamics are far more favorable. There simply aren't as many well-capitalized developers chasing every viable site.
Some of the most interesting activity is happening in markets that don't generate press releases. A developer quietly securing a 15 MW build in a growing mid-market city, with a utility substation a quarter mile away and a county government eager for tax base, is doing something more durable than the fifth announced gigawatt campus in a market where power delivery is still years out.
The Next Five Years
Expect the bifurcation to deepen. Hyperscalers will continue building massive campuses — the demand from AI training runs alone guarantees that. But the colocation and edge infrastructure segment will grow faster on a percentage basis, attract more diverse capital, and generate better risk-adjusted returns for developers who know how to execute.
Technology will help. Liquid cooling systems that were exotic two years ago are becoming standard, allowing smaller facilities to handle higher-density GPU workloads without requiring massive floor plates. Modular data center designs — prefabricated components assembled on-site — are compressing construction timelines further, which strengthens the speed-to-market advantage that smaller projects already hold.
The challenge will be talent. Operating a modern data center well requires skilled facilities engineers, and the pool of experienced operators is thin relative to the volume of projects coming online across the industry. Developers who invest in training pipelines and retention programs will have a structural advantage that's harder to replicate than a good site or a utility relationship.
The gigawatt campus era isn't ending. But the industry is learning what infrastructure veterans in power, telecom, and transportation already know: the most durable returns often come from the projects that aren't on the front page — the ones built at the right scale, in the right market, at the right moment in the grid's capacity curve.
That moment, for smaller data center projects, is right now.
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