Key Takeaways
- • Blackstone COO Jon Gray forecasts a "huge boom in blue-collar employment" over the next five years, driven by massive AI infrastructure investment and data center construction.
- • QTS Data Centers, a Blackstone portfolio company operating or developing 75+ facilities globally, plans to quadruple its on-site workforce from approximately 10,000 workers one year ago to 40,000 by year-end 2026—a 300% increase.
- • Data center construction workers earn an average of $81,800 annually ($39.33/hour), approximately 32% above non-data center construction wages, according to Skillit data; individual facilities can require up to 1,500 workers during peak construction phases.
- • McKinsey projects global data center spending could reach $7 trillion by 2030, creating sustained demand for electricians, pipefitters, HVAC technicians, and other skilled trades essential to AI infrastructure buildout.
- • The skilled trades sector faces significant talent pipeline challenges despite rising compensation, with an estimated 2.1 million skilled trades jobs requiring fulfillment in the U.S.
Summary
Jon Gray, president and chief operating officer of Blackstone, the largest publicly-traded alternative asset manager, has predicted a substantial expansion in blue-collar employment driven by artificial intelligence infrastructure development. Speaking at the Milken Institute, Gray highlighted the paradox of AI's economic impact: while the technology threatens displacement in white-collar sectors, it is simultaneously catalyzing substantial job creation in skilled trades essential to building and maintaining the data center ecosystem powering the AI economy.
Gray's optimism is grounded in concrete expansion plans at QTS Data Centers, one of Blackstone's portfolio companies. QTS operates or is developing more than 75 data centers worldwide and plans dramatic workforce expansion. The company employed approximately 10,000 workers on job sites one year ago; this figure is projected to quadruple to 40,000 by year-end 2026, representing a 300% increase. This staffing surge reflects the intensity of data center construction activity across the portfolio company's global operations.
The financial incentives for skilled trade workers in this sector are compelling. Construction workers on data center projects earn an average salary of $81,800 annually, equivalent to $39.33 per hour—approximately 32% higher than workers on non-data center construction projects, according to Skillit, an AI-powered hiring platform specializing in construction labor. The scale of individual projects underscores labor intensity: a single data center can be 40% to 50% larger than a standard Walmart Supercenter and require up to 1,500 workers during peak construction phases.
Industry analysts project sustained demand for this workforce. McKinsey estimates global spending on data centers could reach $7 trillion by 2030, creating durable opportunities for electricians, pipefitters, HVAC technicians, and other specialized trades. However, companies racing to build AI infrastructure face meaningful headwinds in talent acquisition. An estimated 2.1 million skilled trades jobs remain unfilled in the U.S., creating competitive pressure among firms seeking to expand their construction workforces rapidly.
Gray's prediction reflects broader structural trends reshaping labor markets in response to artificial intelligence deployment. While corporate earnings reports focus increasingly on AI-driven productivity gains and white-collar workforce optimization, infrastructure investment requirements are generating substantial demand for blue-collar talent at wage premiums significantly above historical construction industry averages.
Gray's optimism is grounded in concrete expansion plans at QTS Data Centers, one of Blackstone's portfolio companies. QTS operates or is developing more than 75 data centers worldwide and plans dramatic workforce expansion. The company employed approximately 10,000 workers on job sites one year ago; this figure is projected to quadruple to 40,000 by year-end 2026, representing a 300% increase. This staffing surge reflects the intensity of data center construction activity across the portfolio company's global operations.
The financial incentives for skilled trade workers in this sector are compelling. Construction workers on data center projects earn an average salary of $81,800 annually, equivalent to $39.33 per hour—approximately 32% higher than workers on non-data center construction projects, according to Skillit, an AI-powered hiring platform specializing in construction labor. The scale of individual projects underscores labor intensity: a single data center can be 40% to 50% larger than a standard Walmart Supercenter and require up to 1,500 workers during peak construction phases.
Industry analysts project sustained demand for this workforce. McKinsey estimates global spending on data centers could reach $7 trillion by 2030, creating durable opportunities for electricians, pipefitters, HVAC technicians, and other specialized trades. However, companies racing to build AI infrastructure face meaningful headwinds in talent acquisition. An estimated 2.1 million skilled trades jobs remain unfilled in the U.S., creating competitive pressure among firms seeking to expand their construction workforces rapidly.
Gray's prediction reflects broader structural trends reshaping labor markets in response to artificial intelligence deployment. While corporate earnings reports focus increasingly on AI-driven productivity gains and white-collar workforce optimization, infrastructure investment requirements are generating substantial demand for blue-collar talent at wage premiums significantly above historical construction industry averages.
Go deeper than the headline
Research every firm in this story, track the ones that matter and get the daily briefing — free for 7 days.