The scale of spending on data centers has now eclipsed the combined total invested in canals, railways, and the power grid, creating jobs and wealth while simultaneously fueling inflation. The United States' push to build out artificial intelligence infrastructure is evolving into the largest economic wager in the nation's history, surpassing previous mega-projects like the railroad expansion, the interstate highway system, and the early internet buildout. According to fresh estimates from economist Stijn van Nieuwerburgh, published by the Brookings Institution, total investment in U.S. data centers and related AI infrastructure is projected to hit $10.3 trillion between 2025 and 2032, which equates to an average of roughly 3.6% of the country's gross domestic product each year.

The American economy has never before leaned so heavily on the large-scale construction of a single industry. These investments are reshaping every corner of the economy, generating hundreds of thousands of jobs and minting new billionaires. At the same time, they carry significant risks, as a considerable portion of the funding relies on debt. If AI investment suddenly decelerates, the shock could quickly transmit through the entire U.S. economic system.

Of course, forecasting future investment volumes is inherently uncertain, and actual spending could easily come in far below current projections. Even so, the money already flowing into data center construction this year has reached an unprecedented level in modern American history. According to the latest estimates from Goldman Sachs, U.S. AI-related investment is expected to hit 1.9% of GDP in 2026. The last time a single emerging sector's construction spending accounted for a larger share of the economy was during the railway boom of the late 19th century.

Impact on Construction

Amid a sluggish overall construction sector, the flood of capital into data centers stands out as one of the few bright spots. Commerce Department data shows that, as of July this year, seasonally adjusted U.S. private data center construction spending reached $37 billion, up about $9 billion compared to the same seven-month period a year earlier. By contrast, spending on other private construction projects—including homes, apartment buildings, shopping centers, and the like—fell by roughly $46 billion year-over-year during the first seven months of this year.

Hyperscale cloud providers are aggressively consuming already-scarce labor and electricity resources, which in turn drives up operating costs for other businesses. The Federal Reserve Bank of Richmond recently noted that data center construction has begun to tighten labor supply within its district. Last year, Mississippi was in line to land an aluminum smelter project expected to create around 1,000 permanent jobs. However, according to a person familiar with the operator's decision-making, the smelter ultimately chose Oklahoma after a data center was announced near a potential site in Vicksburg, hogging the electricity supply the smelter would have needed.

Electricity isn't the only resource being squeezed out. In many regions, data centers are also pushing up land prices. Didi Caldwell, a consultant who advises heavy industry companies on site selection, said, "It's crowding out manufacturing."

Financing and Risk Exposure

FactSet data shows that analysts expect the five so-called "hyperscalers"—Alphabet, Amazon, Meta Platforms, Microsoft, and Oracle—to collectively spend $4.2 trillion on capital expenditures over the four-year period ending in 2029. A growing share of that spending is being financed through debt. The sheer magnitude of these investments means the financial industry could face serious fallout if the AI boom turns bust.

Van Nieuwerburgh noted that tech companies frequently borrow from banks and private credit institutions through off-balance-sheet entities, and these transactions are typically subject to little public disclosure. He said this practice makes it difficult for outsiders to accurately gauge the true extent of financial risk. If AI fails to generate enough revenue to service the debt raised for data center construction, the consequences could ripple through the entire financial system.

Employment Trends

Economists remain divided on whether AI has already made a tangible dent in white-collar employment. But one thing is becoming clear: AI infrastructure development is making certain types of workers extremely sought after. According to LinkedIn estimates, AI-related activity has created more than 750,000 new jobs in the U.S. from 2023 through 2026 to date, and these positions generally pay well. The median wage for AI-related job postings on LinkedIn is around $180,000, compared to roughly $80,000 across all roles.

Kory Kantenga, head of economic research for the Americas at LinkedIn, said, "This is one of the few areas of strength in an otherwise very soft labor market." White-collar roles such as data annotators and AI engineers account for the majority of new positions. However, since early 2024, data centers themselves have also added roughly 117,000 jobs—a figure that doesn't include the many construction jobs tied to building them, most of which are not permanent.

Near Washington, D.C., the number of union electricians has grown from 9,000 to 17,500 in recent years. Don Slaiman, political coordinator for International Brotherhood of Electrical Workers (IBEW) Local 26, said, "A lot of people come here to work just to pay off their student loans." Kwaku Afriyie, a 23-year-old with a college degree in cybersecurity, previously worked a junior IT job. But after he started worrying about AI replacing his role, he switched careers last year to become an electrician. He now assembles components for data centers, earning about $30 an hour as an apprentice. More experienced workers can make up to twice that amount.

Tyler Beam, 28, has spent most of the past two years building data centers, working for a company that supplies prefabricated parts to Amazon data center sites across the U.S. Recently, his hourly wage as an electrician reached $62, not including overtime. Beam often works 58-hour weeks and sometimes earns double time. He said, "They just want to get these data centers built as fast as possible." The substantial income boost has also fueled his spending. Beam recently bought a GMC Yukon SUV and is currently house hunting.

Wealth Creation Effects

The AI-driven stock market rally has also generated enormous financial wealth gains. Federal Reserve data shows that, as of the second quarter of this year, U.S. households held $63 trillion in stocks and mutual fund assets—nearly double the level at the end of 2022. Even as inflation-adjusted wage growth has slowed, this wealth accumulation continues to support consumer spending. Moreover, these gains are especially concentrated among affluent households, since wealthy families typically allocate a larger share of their net worth to equities compared to the middle class.

Nationwide, home sales have been sluggish for four consecutive years. But in Silicon Valley, AI wealth is driving a surge in luxury home sales. Real estate agent Ken DeLeon said, "This is the best market since 2000." DeLeon recently listed a five-bedroom home for $9.9 million. Seven buyers submitted offers, and within just two weeks, the property was under contract for more than $13 million. The eventual buyer was an AI entrepreneur.

Inflationary Pressures

Data centers' massive appetite for equipment—especially memory chips—is causing supply shortages and pushing up technology costs. In August, U.S. importers paid 20% more for computers, peripherals (such as hard drives), and semiconductors compared to the same month last year. These higher import prices are then exerting upward pressure on consumer electronics like iPhones and gaming consoles, further fueling inflation.

Austan Goolsbee, president of the Chicago Fed, recently warned that data center investment is pushing up wages in related industries. Meanwhile, Kevin Warsh, president of the Federal Reserve, has pointed to hyperscalers' massive borrowing as one reason long-term interest rates are rising—and higher long-term rates, in turn, are eroding home affordability for millions of Americans. In some regions with heavy data center concentration, residential electricity bills have also climbed sharply.