Key Highlights

  • AI-related investment and the related stock market rally are estimated to account for roughly one-third of recent US economic growth, with AI investment alone contributing nearly a quarter of GDP growth.
  • June construction spending on data centers reached $68.3 billion at an annual rate, up $21.5 billion from a year earlier, even as all other private construction spending declined.
  • US household net worth reached $174 trillion in the first quarter, an increase of $13 trillion from a year earlier driven mostly by stock market gains linked to AI enthusiasm.
  • Combined capital spending at five major technology companies is estimated to reach nearly $4 trillion over the four years ending in 2029, funded increasingly through debt issuance.

AI Spending Becomes a Major Driver of Economic Growth

AI-related investment and a related stock market rally are estimated to account for roughly one-third of recent US economic growth, with AI investment alone contributing nearly a quarter of GDP growth, according to economic analysis. Business investment in AI-related categories, including software, data centers and computer equipment, is running at an annualized rate of about $1.5 trillion, up from roughly $1 trillion two years earlier. June construction spending on data centers reached $68.3 billion at an annual rate, an increase of $21.5 billion from a year earlier, even as spending on all other private construction categories declined by $101.6 billion over the same period, illustrating how concentrated the current construction boom has become in AI-related infrastructure specifically.

Not all technology-related spending is directed toward AI specifically. Some of the reported increase reflects routine purchases such as computers for office workers, while the broader AI buildout has also increased spending in adjacent categories including cooling systems and backup power generators needed to support data center operations. A portion of this spending flows toward imported components, including computer equipment and semiconductors, which reduces its direct contribution to US GDP even as it supports the broader AI ecosystem domestically and internationally.

Rising Household Wealth Tied to AI Stock Gains

US household net worth reached $174 trillion in the first quarter, an increase of $13 trillion from a year earlier that was driven mostly by stock market gains. A broad market index has risen roughly 15% since then, suggesting net worth is likely trillions of dollars higher currently. Much of this increase has been driven by enthusiasm for AI-related stocks, and rising household wealth is generally associated with increased consumer spending, particularly among higher-income households that hold the bulk of stock market wealth. Economists generally estimate that for every additional dollar of stock market wealth, households increase spending by a few cents, a dynamic sometimes referred to as the wealth effect.

This wealth effect has provided meaningful support to consumer spending even as some segments of the economy have shown signs of slowing, helping explain why overall economic growth has remained more resilient than some indicators, taken individually, might otherwise suggest.

Spending Expected to Continue Despite Some Risks

Analysts estimate that combined capital spending at five major hyperscale technology companies will reach nearly $4 trillion over the four years ending in 2029. Bond issuance among these companies and a major aerospace and AI firm is expected to reach $285 billion this year, up from about $109 billion last year, as more of the AI buildout is financed through debt rather than internally generated cash flow. Rising memory chip prices tied to AI demand have also contributed to inflation in some consumer electronics categories, meaning the AI boom is beginning to affect both the investment and consumption sides of the economy simultaneously.

Some economists have cautioned that resources drawn into AI-related construction, including land, materials and skilled labor, might otherwise have been directed toward other parts of the economy, raising the possibility that at least some of the current growth reflects a reallocation of existing activity rather than entirely new economic output. Should the current pace of AI investment slow meaningfully, whether due to disappointing returns, tighter credit conditions, or a broader stock market correction, the resulting drag on both business investment and household spending could be substantial given how large a share of recent growth the AI boom has come to represent.