A significant shift in the American workforce landscape appears to be underway, driven by the very technologies often cited for displacing white-collar roles. Jon Gray, president and chief operating officer at Blackstone, one of the largest publicly-traded alternative asset managers, recently articulated a prediction for a substantial surge in blue-collar employment over the coming five years. This forecast emerges amidst a period of intense investment in artificial intelligence infrastructure, which paradoxically requires a vast human workforce for its physical construction and maintenance.
Evidence of this burgeoning demand can be observed within Blackstone’s own portfolio. QTS, a company managing and developing over 75 data centers globally, exemplifies the trend. Just a year ago, approximately 10,000 workers were engaged on QTS construction sites. By the close of the current year, that figure is projected to quadruple, reaching 40,000 individuals. This 300% increase in on-site personnel underscores the immediate and growing need for skilled labor to erect the physical backbone of the AI economy. Gray highlighted this phenomenon, noting that “between the energy, the physical infrastructure, the data centers, the reindustrialization—something very powerful [is] happening.”
The impetus behind this blue-collar revival is the enormous capital flowing into AI infrastructure. Projections from McKinsey suggest global spending on data centers could hit $7 trillion by 2030. This monumental investment translates into tangible opportunities for electricians, pipefitters, and HVAC technicians, whose expertise is critical for building these complex facilities. To put the scale into perspective, a single data center can span 40% to 50% larger than an average Walmart Supercenter, requiring up to 1,500 workers during its peak construction phase. Moreover, these roles often come with competitive compensation; construction workers on data center projects earn an average of about $81,800 annually, or $39.33 per hour. This figure represents approximately 32% more than the earnings of those on non-data center construction projects, according to data compiled by Skillit, an AI-powered hiring platform specializing in construction.
Despite the clear demand and higher wages, filling these specialized skilled-trade positions presents a significant challenge. Estimates from the U.S. Department of Education, cited in a JLL report, indicate that as many as 2.1 million skilled trades jobs in the United States could remain vacant by 2030. This shortfall could lead to economic losses reaching $1 trillion each year. The roots of this impending crisis are multifaceted, stemming from a combination of an aging workforce nearing retirement, a decades-long societal emphasis on four-year university degrees over vocational training, and the sudden, surging demand for labor driven by data center and industrial development.
In response to this looming skills gap, various organizations are stepping in to cultivate the necessary talent pipeline. Blackstone’s charitable arm, for instance, committed $3 million last year to launch Blackstone Skilled Futures. This initiative, a collaboration with Arizona State University, Maricopa Community Colleges, and local nonprofits, aims to expand skilled-trades training specifically in the Phoenix area, where QTS has three data centers currently under development. Similarly, Lowe’s announced plans earlier this year to invest $250 million over the next decade, with the goal of training 250,000 individuals in essential trades such as plumbing, carpentry, and electrical work. Marvin Ellison, CEO of Lowe’s, emphasized the critical nature of this investment for rebuilding the U.S. workforce in light of the AI-driven economic shift, urging other companies to acknowledge the urgency. BlackRock, another major asset manager, has also pledged $100 million towards skilled-trade training programs, intending to reach 50,000 workers over the next five years through partnerships with nonprofits and workforce development organizations across multiple states. These efforts collectively highlight a growing recognition that the future of an AI-powered economy will still heavily rely on the hands-on expertise of skilled tradespeople.
