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Metavesco Launches Epic Labor AI to Address Critical Data Center Workforce Shortage

By Advos

TL;DR

Metavesco's Epic Labor AI division offers a strategic advantage by recruiting skilled tradespeople for high-demand AI data center construction, addressing the critical labor shortage in this booming market.

Epic Labor AI uses AI-powered tools to source and match electricians, HVAC specialists, and GPU technicians for data center projects, operating on a recruiting and placement fee model.

This initiative helps build the infrastructure needed for AI advancement while creating well-paying jobs and supporting skilled tradespeople, contributing to technological progress and economic opportunity.

A single hyperscale data center can require up to 100 electricians simultaneously, highlighting the massive scale of workforce needed for the AI infrastructure buildout.

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Metavesco Launches Epic Labor AI to Address Critical Data Center Workforce Shortage

Metavesco Inc. announced the launch of Epic Labor AI, a specialized recruiting division of its wholly-owned subsidiary Epic Labor, Inc., focusing exclusively on recruiting skilled tradespeople and technical personnel for AI data center construction, commissioning, and operations nationwide. The announcement comes amid what industry leaders have described as the largest infrastructure buildout in modern history, with hyperscale technology companies committing hundreds of billions of dollars to new data center construction to support artificial intelligence computing demands.

The primary constraint on this buildout is not capital, semiconductors, or energy—it is labor. According to recent industry data, the United States will need approximately 300,000 new electricians over the next decade to support data center and electrification demand, while an additional 200,000 current electricians are expected to retire during the same period. Demand for HVAC engineers has surged 67% since late 2022, and construction workers on data center projects are earning approximately 32% more than those on standard commercial builds.

Epic Labor AI will recruit across two categories. On the construction trades side, the division will place electricians, HVAC and cooling specialists, pipefitters, welders, and general construction labor into data center build projects. On the technical personnel side, the division will recruit GPU deployment technicians—the specialized workers who rack, install, cable, and commission GPU computing clusters—as well as fiber optic and structured cabling technicians, data center operations technicians, and controls specialists.

"The AI revolution requires a massive physical foundation, and right now America does not have enough skilled workers to build it," said Ryan Schadel, CEO of Metavesco. "The Epic Labor team has over 50 years combined experience placing skilled tradespeople on jobsites. With Epic Labor AI, we are applying that expertise, combined with AI-powered recruiting tools, to the most acute labor shortage in the market today."

Epic Labor AI will operate on a recruiting and placement fee model, distinct from Epic Labor's traditional temporary staffing operations. The division expects to generate revenue through direct-hire placement fees and contract-to-hire arrangements with general contractors, data center developers, hyperscale operators, and electrical and mechanical subcontractors building or operating AI data center facilities. The launch extends Metavesco's previously announced AI-native operating model, leveraging artificial intelligence tools for candidate sourcing, screening, and matching to enable faster pipeline development and higher placement accuracy with lower overhead than traditional recruiting operations.

Electrical work alone accounts for an estimated 45% to 70% of total data center construction costs, according to the International Brotherhood of Electrical Workers. A single hyperscale data center under construction can require between 50 and 100 electricians simultaneously, with peak construction crews often exceeding 1,500 workers across all trades. The GPU deployment technician category is among the fastest-growing roles in technology infrastructure, with firms deploying over 100,000 GPUs reporting networks of 1,000 or more field engineers. Epic Labor AI will initially target data center construction markets with the highest concentration of active and planned projects, including Northern Virginia, Texas, Iowa, Ohio, and Georgia markets.

This development is significant because it addresses a critical bottleneck in the AI infrastructure expansion that could otherwise slow technological advancement and economic growth. The shortage of skilled workers threatens to delay data center construction timelines, increase project costs, and potentially limit the availability of AI computing resources. By focusing on both construction trades and technical personnel, Epic Labor AI aims to streamline recruitment for an industry facing unprecedented demand, potentially accelerating the buildout of essential infrastructure that supports everything from cloud computing to advanced AI applications. The company's filings on https://www.otcmarkets.com provide additional information about factors that could affect business and financial results.

Curated from NewMediaWire

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