AI Data Centers in Missouri: Every Facility Tracked (2026)

Ban the Bots tracks two major facilities under construction for ai data centers in missouri, representing a combined 1,900 megawatts (MW) of electrical capacity as of 2026. Both developments belong to Google, spanning a 700 MW campus in the Kansas City area and a 1,200 MW campus in rural Montgomery County that Google describes as the largest single investment in Missouri history. Detailed coordinates and state-by-state comparisons are tracked on the Ban the Bots interactive data center map.

AI Data Centers in Missouri: Facility-by-Facility Breakdown

Google is currently building two separate hyperscale campuses in Missouri that total 1,900 MW of power capacity. Both sites entered construction between late 2025 and early 2026, targeting infrastructure for artificial intelligence workloads and cloud services across the central United States.

The two developments differ in geographical setting, building footprint, local financing, and reported cooling design:

• Google Kansas City Project Mica Campus (Kansas City, Clay County; under construction): A 500-acre campus situated off the northeast corner of Interstate 435 and Highway 169. Google announced the project in July 2025, and construction was underway as of February 2026, according to reporting from Axios. The development plan includes five data center buildings totaling 1.56 million square feet, with an assigned electrical capacity of 700 MW. Financing includes $10 billion in revenue bonds authorized through the Port Authority of Kansas City (Port KC) for property tax exemptions. Google committed $1.75 million in separate workforce development funding for the surrounding area. Power arrangements specify that Google covers full energy costs under an agreement with the regional electric utility Evergy. This site's tracking data does not specify a distinct municipal water source or daily utility consumption volume for Project Mica.
• Google Project Spade New Florence Campus (New Florence, Montgomery County; under construction): A 934-acre site positioned at the junction of Interstate 70 and Highway 19, spanning 780 acres in unincorporated Montgomery County and 130 acres within the city limits of New Florence. Google announced the campus in January 2026 with a capital investment of $15 billion, which Google states is the single largest capital investment in the history of Missouri. Initial construction started in 2026, as reported by DataCenterDynamics. The design calls for two large data center buildings of roughly 800,000 square feet each, supporting 1,200 MW of planned electrical capacity. Google reports that Project Spade uses an air-cooled, closed-loop mechanical system designed to limit municipal water consumption. The buildout requires approximately 2,000 construction jobs, followed by hundreds of permanent technical and operational positions once online. Ban the Bots tracking records do not list a distinct utility water source for this site beyond the air-cooled closed-loop system documented in project filings.

Together, these two facilities place Missouri among the fastest-growing Midwestern data hub corridors. For regional comparison, Google operates similar large-scale infrastructure just north in Iowa, detailed in the Ban the Bots guide to AI data centers in Iowa.

Water and Power Demands for AI Data Centers in Missouri

Electrical capacity across the two Missouri Google developments totals 1,900 MW, creating substantial utility infrastructure demands. A 700 MW allocation in Clay County and a 1,200 MW allocation in Montgomery County require dedicated transmission substations, high-voltage lines, and long-term utility agreements to prevent disruptions to the local power supply.

For the Kansas City buildout, Google reached an operating agreement with the regional electric utility Evergy. Under the terms of that agreement, Google is responsible for covering its entire power supply costs. That structure is designed to isolate residential and small-business utility customers from the capital costs of building out generation and distribution infrastructure for Project Mica. However, large load additions can still impact regional generation planning and capacity reserve margins across the regional transmission organization.

Cooling systems represent the second critical operational demand for AI computing clusters. AI training clusters generate intense heat from continuous graphic processing unit operations, requiring continuous cooling cycles:

• At Project Spade in New Florence, Google announced the deployment of an air-cooled, closed-loop system. Google states that this engineering design reduces overall water withdrawal compared to traditional evaporative cooling towers. Tracking records maintained by Ban the Bots do not specify a distinct river, aquifer, or municipal utility intake for the facility beyond that closed-loop specification.
• At Project Mica in Clay County, public development disclosures do not define the specific mechanical cooling method or daily water intake volumes. Ban the Bots tracking data records no confirmed water utility source for this campus. When data center developers rely on municipal potable supplies or unmetered utility lines, localized watershed tracking remains unverified until public discharge permits or utility agreements are filed.

Communities evaluating hyperscale facilities routinely scrutinize utility usage, tax incentives, and environmental trade-offs. To review the documented impacts and civic responses across multiple states, consult the Ban the Bots reports on AI data center impacts and the national AI backlash index.

Economic Development, Bond Financing, and Jobs in Missouri

Missouri state and municipal agencies used statutory tax incentive structures to attract Google to both Clay County and Montgomery County. Hyperscale server farms demand billions of dollars in equipment, but their long-term employment headcounts differ markedly from conventional manufacturing plants of comparable acreage.

In Kansas City, the Port Authority of Kansas City (Port KC) authorized $10 billion in revenue bonds for property tax exemptions tied to the Project Mica campus. In parallel with that bond agreement, Google committed $1.75 million toward local workforce training initiatives in the Kansas City metropolitan area. This site's tracking data does not specify the legal mechanics of the bond structure beyond that it was authorized for tax breaks.

In rural Montgomery County, Project Spade represents a different economic profile. The $15 billion project sits along Interstate 70 near the small community of New Florence. Google estimates the construction phase will generate approximately 2,000 construction jobs, while long-term operations will yield hundreds of permanent engineering, facility management, and security roles. For a rural county, a 934-acre tech campus introduces major shifts in local commercial property valuation, emergency response requirements, and utility infrastructure delivery.

FAQ: AI Data Centers in Missouri

What AI data centers is Google building in Missouri?

Google is building two hyperscale campuses in Missouri: the 700 MW Project Mica campus in Kansas City (Clay County) and the 1,200 MW Project Spade campus in New Florence (Montgomery County). Together, the two sites represent 1,900 MW of electrical capacity under active construction.

How big is Google's Project Mica in Kansas City?

Google's Project Mica encompasses 500 acres at Interstate 435 and Highway 169 in Clay County. The approved development plan includes five data center buildings totaling 1.56 million square feet, supported by 700 MW of utility capacity and $10 billion in Port KC bond financing.

Is Google's New Florence project really the largest investment in Missouri history?

Yes, Google describes the $15 billion Project Spade campus in Montgomery County as the largest single capital investment in Missouri history. The 934-acre site includes two buildings of roughly 800,000 square feet each and 1,200 MW of capacity.

How much water do Missouri's Google data centers use?

Google reports that the New Florence campus uses an air-cooled, closed-loop system designed to limit municipal water consumption, though specific intake volumes remain unpublished. For Project Mica in Kansas City, Ban the Bots tracking records show no publicly specified municipal water source or intake numbers.

Tracking the Next Steps for AI Data Centers in Missouri

Missouri is absorbing 1,900 MW of electrical demand from Google across two development hubs, reshaping regional utility distribution and local land use. Ban the Bots will continue updating capacity metrics, tax structures, and cooling data as construction advances toward commercial commissioning. Review the full geographic scope of regional infrastructure through the interactive AI data center map and read our companion report on AI data centers in Iowa to track ongoing Midwestern buildouts of ai data centers in missouri.