What's Happening?
Metavesco Inc. has announced the launch of Epic Labor AI, a new recruiting division under its subsidiary Epic Labor, Inc. This division is dedicated to recruiting skilled tradespeople and technical personnel for AI data center construction and operations
across the United States. The initiative comes in response to a significant labor shortage in the industry, as hyperscale technology companies invest heavily in data center infrastructure to meet the growing demands of artificial intelligence computing. Epic Labor AI aims to recruit electricians, HVAC specialists, pipefitters, welders, and general construction labor, as well as GPU deployment technicians and data center operations specialists. The division will leverage AI-powered recruiting tools to enhance candidate sourcing and placement accuracy.
Why It's Important?
The launch of Epic Labor AI is crucial as the U.S. faces a shortage of skilled workers needed to support the rapid expansion of AI data centers. This shortage could hinder the growth of AI infrastructure, which is vital for technological advancement and economic competitiveness. By addressing the labor gap, Metavesco is positioning itself as a key player in the AI infrastructure sector, potentially influencing the pace and scale of data center development. The initiative also highlights the increasing demand for skilled trades and technical personnel, which could lead to higher wages and job opportunities in these fields.
What's Next?
Epic Labor AI plans to target key data center construction markets, including Northern Virginia, Texas, Iowa, Ohio, and Georgia. The division will operate on a recruiting and placement fee model, distinct from traditional staffing operations, and expects to generate revenue through direct-hire placement fees and contract-to-hire arrangements. As the demand for AI infrastructure continues to grow, Epic Labor AI may expand its operations to other regions and sectors, further addressing the labor shortage and supporting the industry's development.











