The infrastructure supporting artificial intelligence, from vast data centers to intricate energy grids, relies heavily on a workforce that is increasingly in short supply. A significant bottleneck is forming, not in silicon foundries or software development labs, but among electricians, plumbers, and HVAC technicians. This challenge has prompted BlackRock, one of the world’s largest asset managers, to commit substantial resources to address the issue.
BlackRock announced a $100 million investment aimed at skilled trade training programs, channeling funds through non-profits and workforce development partners across various states. The initiative targets the training of 50,000 workers over the next five years. This move underscores a growing concern among industry leaders regarding the availability of the specialized labor required to build and maintain the physical backbone of the digital economy. Larry Fink, BlackRock’s CEO, has frequently voiced his apprehension, noting that “America needs an estimated $10 trillion in infrastructure investment by 2033 to modernize aging systems and build new energy, digital, and AI infrastructure. Capital alone is not enough—people are central to building our nation’s future.”
The urgency behind this investment is rooted in the rapid expansion of AI infrastructure. Companies like Meta, Microsoft, and OpenAI are engaged in a race to scale their data center capacities, which are the physical foundations for their ambitious AI projects. BlackRock itself is a significant investor in this buildout, having backed Meta’s massive Hyperion data center, a facility projected to be four times the size of Manhattan’s Central Park. The firm also led an investor group in acquiring Aligned Data Centers in a deal valued at approximately $40 billion. This financial commitment highlights the firm’s strategic interest in ensuring the necessary workforce exists to support its investments.
The demand for these skilled trades is outpacing supply, a situation exacerbated by a significant portion of the existing workforce nearing retirement. Electricians, in particular, are critical, with electrical work alone accounting for 45% to 70% of total data center construction costs, according to the International Brotherhood of Electrical Workers. Projections indicate a need for over 300,000 new electricians within the next decade to meet AI-driven demand, coinciding with the expected retirement of more than 200,000 electricians over a similar timeframe. This demographic shift presents a substantial hurdle to sustained growth.
The shortage of skilled workers extends beyond BlackRock’s immediate concerns. Tech industry leaders have also raised alarms. Brad Smith, Microsoft’s President, identified electrical talent shortages as the “single biggest challenge for data center expansion in the U.S.,” noting that the company has sometimes resorted to asking workers to commute long distances or temporarily relocate to fill critical roles. Google has echoed these concerns in policy reports, pledging $15 million and forming a partnership with the Electrical Training Alliance (etA) to expand the pipeline of electrical workers. Jensen Huang, CEO of Nvidia, recently articulated that the labor required for the physical buildout of AI, encompassing everything from chip factories to data centers, is already in short supply, emphasizing that “These are skilled, well-paid jobs, and they are in short supply. You do not need a PhD in computer science to participate in this transformation.”
These high-demand roles often offer substantial compensation, particularly for those who complete rigorous training programs. For instance, union electricians at IBEW Local 26 near Washington, D.C., an area with a high concentration of data centers, begin apprenticeships at about $26 an hour. Upon completing a five-year apprenticeship, journeyman electricians can earn approximately $59.50 an hour, translating to over $120,000 annually, plus comprehensive benefits such as health insurance and pensions. With overtime or supervisory responsibilities, annual earnings can approach $200,000. This financial incentive creates an unexpected avenue for younger generations, including Gen Z, to pursue high-paying careers in trades that do not necessitate a four-year college degree, even as many white-collar roles face potential disruption from AI itself.
