Kevin O'Leary will reduce the planned size of his AI data center project in northern Utah by roughly half [1].
The decision follows significant political backlash from state lawmakers and local residents who feared the massive scale of the project would overwhelm regional infrastructure. The shift signals a compromise between the aggressive expansion of AI infrastructure and the practical limits of state power grids.
In a letter sent Thursday, June 4, the Canadian businessman and television personality agreed to shrink the proposed Stratos AI data center campus [1]. The original plan called for a site spanning 40,000 acres [1]. O'Leary now intends to reduce that footprint by about 20,000 acres [1].
The original proposal was criticized for its immense scale, with some reports noting the site was more than twice the size of Manhattan [3]. This scale drew scrutiny from Utah officials concerned about the environmental and logistical impact of such a development.
A primary point of contention was the project's projected power requirements. Some estimates suggested the facility could consume more electricity than the entire state of Utah currently uses [4]. This potential demand created tension between the developer and state energy regulators tasked with maintaining grid stability.
While some reports previously suggested O'Leary was pushing back against calls to reduce the site, the recent correspondence indicates a willingness to downsize to secure the project's future [1], [5]. The scaled-back plan aims to address the concerns of those who argued the original 40,000-acre footprint was unsustainable for the region.
“Kevin O'Leary will reduce the planned size of his AI data center project in northern Utah by roughly half.”
This downsizing reflects a growing tension between the immense resource requirements of generative AI and the physical limitations of local governments. As AI companies seek massive amounts of land and electricity to power data centers, they are increasingly colliding with regional zoning laws and energy constraints, forcing developers to prioritize political viability over maximum scale.
