
Jensen Huang is right! AI infrastructure urgently needs electricians: After Microsoft and Google, BlackRock invests $100 million to train technicians

BlackRock invests $100 million to train technical workers, echoing Jensen Huang's warning about the shortage of electricians. Data shows that over the next decade, the U.S. is expected to need more than 300,000 new electricians to meet AI-driven demand, while at the same time, over 200,000 electricians are expected to retire. In terms of salary, with overtime or promotions to management positions, annual income can approach $200,000
The surge in AI infrastructure construction is exposing a key bottleneck—a severe shortage of skilled workers.
BlackRock announced on Wednesday that it will invest $100 million in skilled worker training programs, implemented through nonprofit organizations and workforce development partners across multiple states, aiming to cover 50,000 workers over the next five years.
This initiative strongly echoes the warning issued by NVIDIA CEO Jensen Huang earlier this week—Huang explicitly pointed out in a signed article that technical workers such as electricians, plumbers, and network technicians needed to support AI infrastructure "are already in short supply."
BlackRock CEO Larry Fink had previously warned the Trump team directly: "We will face a shortage of electricians; there simply aren't enough hands to build AI data centers."
This shortage of skilled workers is becoming a common anxiety across the entire tech industry. Microsoft and Google have both issued warnings and taken action. Microsoft President Brad Smith stated last year that the shortage of electrical talent is "the single biggest challenge facing the expansion of data centers in the U.S." To fill the labor gap, Microsoft has, in some cases, had to require 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. ability to build the infrastructure needed to support AI," and has committed to investing $15 million to collaborate with the Electrical Training Alliance to expand the supply of electrical talent.
BlackRock's $100 million bet on skilled worker training is deeply tied to its AI investment strategy
BlackRock's move is not merely a corporate social responsibility initiative but is directly linked to its own AI infrastructure investment landscape.
Larry Fink stated in a statement: "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 the core of building the nation's future."
BlackRock is one of the major investors in Meta's large data center project Hyperion, and it was reported that the company purchased over $3 billion in bonds related to financing for this project last year. Additionally, BlackRock led a group of investors to acquire Aligned Data Centers, with a transaction valuation of approximately $40 billion.
This means that the shortage of skilled workers is not only a macro labor issue but also directly threatens the deployment progress of the hundreds of billions of dollars in AI infrastructure assets held by BlackRock. This $100 million training investment is essentially a risk hedge for its investment portfolio.
The electrician gap far exceeds common perception, with salaries now comparable to white-collar jobs
The scale of the skilled worker shortage far exceeds general market perception, particularly in the field of electricians.
According to data from the International Brotherhood of Electrical Workers (IBEW), electrical engineering accounts for 45% to 70% of the total cost of data center construction. In the next decade, to meet AI-driven demand, it is expected that over 300,000 new electricians will be needed, while at the same time, more than 200,000 electricians will retire. Salary data is also noteworthy. Take IBEW Local 26 near Washington D.C. as an example—this area has the highest density of data centers in the world—apprentices start at about $26 per hour; after completing a five-year apprenticeship, licensed electricians earn about $59.5 per hour, with an annual salary exceeding $120,000, along with benefits such as health insurance and pensions; if overtime or promotions to management positions are added, annual income can approach $200,000.
This salary level has become comparable to, or even surpasses, many white-collar professions, and without the burden of high tuition debt, its appeal is rising for Generation Z.
Jensen Huang: AI infrastructure requires a large number of skilled workers
On March 10, NVIDIA CEO Jensen Huang made a rare statement, indicating that AI is an important force reshaping the world, akin to electricity and the internet as infrastructure.
He assessed that global AI infrastructure construction is still in its early stages, with current investments only in the hundreds of billions of dollars, and future investments will require trillions of dollars. The wave of AI infrastructure will need a large number of skilled workers, including: electricians, plumbers, network engineers, equipment installers.
Looking globally, we see chip factories, computer assembly plants, and AI factories rising at an unprecedented scale. This is becoming the largest infrastructure construction in human history.
The workforce required to support this construction is extremely large. AI factories need electricians, plumbers, pipe fitters, steelworkers, network technicians, installers, and operators. These are all high-skill, high-paying positions, and currently in short supply. You don’t need to have a PhD in computer science to participate in this transformation
