Two of Wall Street’s biggest firms say the AI boom is far from a speculative frenzy.
Instead, BlackRock and Bank of America say the cycle is being driven by real corporate investment, earnings and productivity gains — not the kind of irrational exuberance that defined the dot-com bubble of the early 2000s.
“We don’t think bubble framing is useful for investors at this stage,” Jean Boivin, head of the BlackRock Investment Institute, told a media roundtable on Tuesday.
“We want to avoid putting everything into a backward-looking metric or rating,” he continued, noting that it’s “incomplete” to describe the AI boom as a bubble as the build-out continues to unfold at an “unprecedented” scale and pace.
Boivin also pointed to a healthy level of skepticism in the market today.
“There’s a lot of talk about the potential of a bubble … people are aware of the risks,” he said. “It is when there is no discussion that we should be more concerned.”
BlackRock argues that the spending boom in AI is so big that it has become a macro story in itself, the scale of corporate investment could push US GDP growth above the steady 2% trend that has dominated for decades.
“The capital spending ambitions associated with AI buildout are so large that micro is macro,” the firm wrote in its outlook, estimating corporate spending plans between $5 trillion and $8 trillion globally by 2030, most of it in the US.
“The challenge for investors: Reconciling large capital spending plans with potential AI revenue,” BlackRock added. “Do their orders of magnitude match?”
The firm also flagged the physical limits of the build-out, from compute to grid, noting that AI data centers could consume 15% to 20% of US electricity by the end of the decade. This makes the build-out transformative and debilitating: “This frontloading of costs is necessary to realize the ultimate benefits,” Blackrock wrote.
BlackRock said those pressures are part of a structural shift, arguing that AI is helping stocks to record highs and that it “remains pro-risk and sees the AI theme as still a key driver of US equities.”
Bank of America struck a similar tone, but with more stark warnings about how the next phase of the boom might play out.
“Is it 2000? Are we in a bubble? No,” Savita Subramanian, head of U.S. equities and quantitative strategists, said on BofA’s outlook call on Tuesday. “Will AI Continue Uninterrupted in Leadership? Also Not.”
Subrahmanyam sees the current environment as a pause rather than the start of a downturn, describing a potential “air pocket” where capital spending outpaces revenue growth. That lag between investment and monetization, especially around power and infrastructure constraints, could scare off investors in the near term.
Part of that risk is already reflected in the balance sheets. Hyperscalar capital spending reached 60% of operating cash flow last year, up from 30% a decade ago, according to BofA, but still below the 140% peak in the dot-com era.
The firm forecasts hyperscalar spending from companies such as Microsoft ( MSFT ), Amazon ( AMZN ), Google ( GOOG , GOOGL ), Meta ( META ), and Oracle ( ORCL ) to reach $400 billion in 2025 and $510 billion in 2026.
But that near-term caution doesn’t mean a comparison of 2000 holds. Subramanian acknowledged that the breadth and high multiples “rhyme with 2000” but pointed out several key differences this time around: stock allocations are much lower than in the dot-com era, earnings growth has supported higher valuations, IPOs are smaller, and estimates on unprofitable companies are less extreme than in 9091.
Those differences underscore BofA’s bullish long-term outlook. The firm sees the S&P 500 (^GSPC) ending at 7,100 in 2026, a target on the conservative end of Wall Street’s forecasting spectrum, lower than tougher calls like RBC’s 7,750 and Deutsche Bank’s 8,000.
Ely Canal is a senior reporter at Yahoo Finance. Follow her on X @allie_canal, LinkedIn, And email her at alexandra.canal@yahoofinance.com.
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