Hyperscale Data converts Michigan facility into AI and robotics hub, plans to hire 500 workers over three years

Hyperscale Data is converting part of its Michigan campus into a combined AI data center and robotics hub, with plans to hire 500+ staff over three years. The 100,000-sq-ft section will handle robotics assembly, testing, and AI data generation.

Categorized in: AI News Operations
Published on: Apr 21, 2026
Hyperscale Data converts Michigan facility into AI and robotics hub, plans to hire 500 workers over three years

Data Center Operator Plans Michigan Robotics Hub, 500+ Hires Over Three Years

Hyperscale Data is reconfiguring its Michigan facility into a combined AI data center and robotics operations hub, the company announced Monday. The Las Vegas-based operator will dedicate more than 100,000 square feet of its 617,000-square-foot campus to robotics assembly, testing, and AI infrastructure.

The expansion follows an agreement with robotics developer AGIBOT. Hyperscale Data currently runs approximately 30 megawatts of power capacity at the site and believes it can expand to over 300 megawatts over time.

What's Being Built

The company plans to combine high-performance computing infrastructure with robotics capabilities in a single location. Within the dedicated 100,000-square-foot section, Hyperscale Data will:

  • Develop robotics assembly and testing operations
  • Build real-world environments for data collection and system validation
  • Integrate compute infrastructure with robotics-driven data generation

Data generated through these operations will be commercialized for use in U.S. AI development and deployment.

Operations and Staffing

Hyperscale Data expects to hire more than 500 employees over the next three years to staff the Michigan operations. Anticipated roles include robotics engineers, AI data specialists, infrastructure personnel, and operations staff.

The company says it will pursue opportunities to support frontier AI developers, large-scale model creators, and high-performance computing platforms.

The Reasoning

Hyperscale Data's executives believe the next phase of AI development will depend increasingly on real-world data and physical system training alongside traditional digital datasets. The Michigan campus is being designed to generate machine-generated data from robotics in real environments, capture human egocentric data for contextual learning, and test robotic systems.

CEO William B. Horne said the facility "positions us to support evolving AI workloads while creating high-quality jobs in the region." Executive Chairman Milton "Todd" Ault III added that combining compute, robotics, and data generation in one location aligns the company with where AI is heading.

For operations professionals, this represents a significant infrastructure scaling project. The facility reconfiguration, power expansion, and workforce integration will require careful planning and coordination across multiple operational domains.

Learn more about AI for Operations or explore an AI Learning Path for Operations Managers to understand how AI and automation are reshaping facility operations and workforce planning.


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