The AI boom has increased the upfront capital needs of data center developers, but many investors are still wary of funding a ...

WKAR News is diving deep on data centers this week as multiple proposed projects across the state face public pushback. Michigan State University professor Doug Bessette’s research focuses on finding ...

The developer for Project Blue, a proposed data center in Pima County, has committed to matching its energy use with 100% renewable energy. Critics and some county officials remain skeptical of the ...

A proposed 15-million-square-foot data center in Fort Pierce may be abandoned after Gov. Ron DeSantis introduced new ...

Developers like Target Hospitality that once provided workforce housing for oil and gas boomtowns are now shifting their attention to data centers as artificial intelligence megacampuses drive digital ...

Map of proposed $1 billion data center area in Morgan County, northeast of Monrovia. The area in blue is the proposed site of the data center. The developer has not been named as of Sept. 11, 2025. As ...

A Seattle-based data center developer and operator has filed plans with the city of Indianapolis to build a $4 billion, 250-megawatt facility in Decatur Township on the city’s southwest side.

Data center projects could bring billions in investments to North Carolina. But opposition is fierce. Data center projects ...

Michigan may remember 2025 as the year of the data center. Developers have eyed at least 16 sites in 10 counties across the Lower Peninsula for the power-hungry server warehouses supporting artificial ...

After residents in St. Charles protested a secretive data center proposal, developer CRG is eyeing Festus, Missouri, as a site for future sites. It's not clear what tax incentives or exemptions the ...

Data centers are projected to be the fastest-growing construction sector in 2026. Major airport expansion projects will continue at Minneapolis–St. Paul International Airport. Large mixed-use ...

Did you know that over 80% of AI projects fail? That's twice the failure rate of regular IT projects. A Gartner survey found that only 48% of AI projects make it to production, and it typically takes ...