Huang Renxun is right! AI infrastructure urgently needs electricians: After Microsoft and Google, BlackRock invests $100 million in technician training

The surge in AI infrastructure development is exposing a critical bottleneck—severe shortages of skilled workers.

BlackRock announced on Wednesday that it will invest $100 million in technician training programs, partnering with nonprofit organizations and workforce development partners across multiple states, aiming to train 50,000 workers over the next five years.

This move closely echoes the warning issued by NVIDIA CEO Jensen Huang this week—he explicitly stated in an op-ed that the demand for electricians, plumbers, network technicians, and other skilled workers supporting AI infrastructure “is already in short supply.”

BlackRock CEO Larry Fink previously warned the Trump team directly: “We will face a shortage of electricians, and there are not enough personnel to build AI data centers.”

This skilled labor shortage is becoming a common concern across the tech industry. Microsoft and Google have issued warnings and taken action. Last year, Microsoft President Brad Smith said that the shortage of electrical talent is “the biggest single challenge facing the expansion of data centers in the U.S.” To fill the labor gap, Microsoft has sometimes required workers to commute up to 75 miles or accept temporary relocations.

Google warned in a policy report that the shortage of electricians “could constrain the U.S.'s ability to build the infrastructure needed for AI,” and pledged to invest $15 million in partnership with the Electrical Training Alliance to expand the supply of electrical workers.

BlackRock’s $100 million investment in technician training is deeply tied to its AI infrastructure investment strategy

BlackRock’s move is not just a corporate social responsibility effort but is directly linked to its AI infrastructure investment plans.

Larry Fink stated in a release: “The U.S. is expected to 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 future of the nation.”

BlackRock is a major investor in Meta’s large data center project Hyperion, having reportedly purchased over $3 billion in bonds related to the project last year. Additionally, BlackRock led a group of investors in acquiring Aligned Data Centers, with a deal valuation of approximately $40 billion.

This means that the skilled labor shortage is not only a macro labor issue but also directly threatens the progress of BlackRock’s hundreds of billions of dollars in AI infrastructure assets. The $100 million training investment is essentially a risk hedge for its investment portfolio.

The electrician shortage far exceeds perceptions, with salaries now rivaling white-collar jobs

The scale of the skilled labor shortage far exceeds general market awareness, especially in the electrical sector.

According to the International Brotherhood of Electrical Workers (IBEW), electrical work accounts for 45% to 70% of the total cost of data center construction. Over the next decade, to meet AI-driven demand, more than 300,000 new electricians will be needed, while over 200,000 will retire during the same period.

Wage data is equally striking. For example, in IBEW Local 26 near Washington, D.C.—the region with the highest data center density globally—apprentices start at about $26 per hour; after five years, licensed electricians earn approximately $59.50 per hour, with annual salaries exceeding $120,000, plus benefits like health insurance and pensions. With overtime or management promotions, annual income can approach $200,000.

This salary level is comparable to or even surpasses many white-collar professions, with no high student debt, making it increasingly attractive to Generation Z.

Jensen Huang: AI infrastructure requires a large number of skilled workers

On March 10, NVIDIA CEO Jensen Huang unusually stated that AI is a transformative force akin to electricity and the internet—fundamental infrastructure.

He believes that global AI infrastructure is still in its early stages, with current investments only in the hundreds of billions of dollars, and future needs reaching trillions. The wave of AI infrastructure development will require a large workforce, including electricians, plumbers, network engineers, and equipment installers.

Looking worldwide, we see chip factories, computer assembly plants, and AI factories rising on an unprecedented scale. This is becoming the largest infrastructure build in human history.

The workforce needed to support this construction is enormous. AI factories require electricians, plumbers, pipe fitters, steelworkers, network technicians, installers, and operators. These are high-skill, high-wage jobs, and demand currently exceeds supply. You don’t need a PhD in computer science to participate in this revolution.

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