Jensen Huang was right! AI infrastructure urgently needs electricians: After Microsoft and Google, BlackRock invests $100 million to train technicians
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The surge in AI infrastructure construction is exposing a key bottleneck—a severe shortage of skilled workers.
On Wednesday, BlackRock announced it will invest $100 million in skilled worker training programs, to be implemented through nonprofit organizations and workforce development partners in multiple states, targeting coverage of 50,000 workers over the next five years.
This initiative closely echoes the recent warning from NVIDIA CEO Jensen Huang—who pointed out in a signed article that skilled workers such as electricians, plumbers, and network technicians required for AI infrastructure "are already in short supply."
BlackRock CEO Larry Fink had previously warned the Trump team directly: "We are going to face a shortage of electricians, and there simply aren’t enough people to build AI data centers."
This shortage of skilled workers is becoming a shared anxiety across the tech industry. Microsoft and Google have both issued warnings and taken action, with Microsoft President Brad Smith stating last year that the lack of electrical talent is "the greatest single challenge facing U.S. data center expansion." To fill staffing gaps, Microsoft has in some instances required workers to commute up to 75 miles, or accept temporary relocation assignments.
In a policy report, Google warned that the shortage of electricians "could constrain America’s capacity to build the infrastructure required to support AI," and has therefore pledged $15 million to partner with the Electrical Training Alliance to expand the talent pipeline for electricians.
BlackRock’s $100 million bet on skilled worker training is deeply tied to its AI investment strategy
BlackRock’s move is not simply a corporate social responsibility initiative—it is directly linked to its own AI infrastructure investment portfolio.
Larry Fink said in a statement: "It is estimated that the U.S. will need $10 trillion in infrastructure investment by 2033 to upgrade aging systems and build new energy, digital, and AI infrastructure. Capital alone is not enough—talent is at the core of building the nation's future."
BlackRock is one of the major investors in Meta’s large-scale data center project Hyperion, reportedly purchasing over $3 billion in project-related bonds last year. In addition, BlackRock led a group of investors in the acquisition of Aligned Data Centers, a deal valued at about $40 billion.
This means that the shortage of skilled workers is not just a macro labor issue, but directly threatens the progress of BlackRock’s own AI infrastructure assets worth tens of billions of dollars. The current $100 million training investment is essentially a form of risk hedging for its investment portfolio.
The electrician gap far exceeds perceptions, with pay already rivaling white-collar jobs
The scale of the skilled worker shortage is far greater than generally perceived, with the electrician field especially prominent.
According to the International Brotherhood of Electrical Workers (IBEW), electrical engineering accounts for 45% to 70% of total data center construction costs. In the next decade, to meet AI-driven demand, over 300,000 new electricians are expected to be needed, while more than 200,000 electricians are set to retire during the same period.
The pay statistics are also striking. Take IBEW Local 26 near Washington D.C.—the region with the world’s highest data center density—as an example: apprentices there earn about $26 per hour starting pay; after completing five years of apprenticeship, certified electricians earn about $59.5 per hour, over $120,000 per year, plus benefits like health insurance and pension; with overtime or a move into management, annual income can approach $200,000.
This pay level already matches or surpasses many white-collar jobs, and without the burden of heavy student debt, it is becoming more attractive to Gen Z.
Jensen Huang: AI infrastructure requires massive numbers of skilled workers
On March 10, NVIDIA CEO Jensen Huang made the rare move of publishing an article, stating that AI is a major power reshaping the world, serving as an infrastructure akin to electricity and the internet.
He judged that global AI infrastructure construction is still in its early stages, with investments so far totaling only several hundred billion dollars, but requiring trillions more in the future. The wave of AI infrastructure will demand vast numbers of skilled workers, including: electricians, plumbers, network engineers, and installation personnel.
Looking around the world, we see chip factories, computer assembly plants, and AI factories rising at an unprecedented scale. This is becoming the largest infrastructure build-out in human history.
The workforce required to support this construction is enormous. AI factories need electricians, plumbers, pipefitters, steelworkers, network technicians, installers, and operators. All of these are high-skill, high-pay positions, and currently in short supply. You do not need a PhD in computer science to join this revolution.
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