Key Takeaways

  • Modern AI data centers use closed-loop dry cooling systems that recycle water internally rather than consuming public municipal water reserves.
  • Lambda's Kansas City facility required 300 construction workers, created 50 permanent jobs paying over $100,000, and will yield at least $47 million in local property taxes over five years.
  • Pushing compute builds overseas risks losing high-wage technical employment and strategic computing control to foreign jurisdictions across South America and Asia Pacific.
  • Surging power demand from AI clusters funds transmission expansion that makes domestic heavy industry, including electric arc furnace mills and turbine plants, viable again.

The Water Myth and Closed-Loop Reality

Public backlash against data centers often centers on water consumption. Headlines warn of municipal reservoirs being drained by server racks. Stephen Balaban, CEO of AI cloud provider Lambda, pushes back on that narrative directly.

“The vast majority of new AI factories that are being built are completely recycling the water and using a dry cooler,” Balaban said. “It's a closed loop water system where the water never even leaves the facility at all.”

Traditional evaporative cooling towers lose large volumes of water to the atmosphere to drop temperatures. Modern AI builds have moved away from this design. By circulating fluid inside sealed loops and rejecting heat through air-cooled heat exchangers, modern sites eliminate continuous freshwater intake during normal operations. The water stays inside the building.

$47 Million in Property Taxes and Heavy Industrial Reshoring

Critics also argue that data centers consume heavy power while offering little back to local towns. Balaban points to hard numbers from Lambda's own footprint in Missouri.

“We've got a data center out in Kansas City and 300 folks worked on it during the construction period and 50 full-time jobs, many of these making over $100,000 a year,” Balaban noted. On top of direct wages, the local municipality gains a massive long-term tax base: “We are going to over the next five years at the very least be paying $47 million over five years in property taxes.”

Beyond direct tax revenue, AI power demand acts as the financial anchor for power grid expansion. Upgraded substations, high-voltage transmission lines, and added baseload capacity lower the barrier for other energy-hungry American industries.

“The way that AI is driving the development of the grid is going to pave the way for more industrial onshoring to come back to the United States,” Balaban explained. He pointed to electric arc furnace mills for aluminum and steel, micro mills, and turbine manufacturing facilities that require the exact power backbone AI clusters are now funding.

The Danger of Offshoring American Compute

Local zoning moratoriums and permit delays threaten to export data center construction to friendlier foreign markets. Balaban sees this trend as a strategic hazard.

“It would be an absolute national tragedy for this to go out to go international for it to go to, you know, whether it's whether it's overseas in outside of North America, into South America, into Asia Pacific. I want those jobs here in the United States,” Balaban said.

When compute clusters move abroad, the high-paying operations jobs, electrical engineering expertise, and downstream tax windfalls move with them. Keeping high-density clusters inside domestic borders ensures that the supply chain, grid investment, and economic surplus stay local.

What to Do With This

When evaluating data center site selection or public zoning hearings, lead with hard municipal returns rather than abstract technical capability. Prepare a clear economic brief detailing local property tax commitments, closed-loop water specifications, and long-term substation upgrades that benefit surrounding industrial zones.