Investment banks are pulling in record fees as technology companies pour hundreds of billions into artificial intelligence infrastructure, but the concentration of wealth and risk in this boom raises hard questions about who actually benefits from the AI economy.
Goldman Sachs led the charge on SpaceX's record $86 billion initial public offering. Citigroup earned over $70 million from SK Hynix's $26.5 billion ADR offering alone. Bank of America has helped raise nearly $500 billion for AI-related companies since 2025, accounting for 60% of such fundraising across investment-grade debt, leveraged finance and equity capital markets. These aren't just big numbers—they're the financial architecture of a massive economic shift, and so far, the benefits are flowing almost entirely to the banks orchestrating the deals.
Goldman Sachs CEO David Solomon framed the moment plainly during an earnings call: "The build-out of AI infrastructure remains in its early stages, and we believe this multi-year investment cycle will continue to drive elevated levels of strategic activity, financing, and capital formation across markets." The bank is positioning itself to profit from upcoming listings of Anthropic and OpenAI, betting that investor appetite for AI exposure won't fade. But beneath the optimism lies a fragile foundation. July has been rough for technology stocks, especially microchip makers, as investors wrestle with high valuations and question the longevity of the AI capex boom.
The Wealth Concentration Problem
What's striking about this moment is how narrowly the gains are distributed. The banks, the venture capitalists, the founders of AI companies—they're getting wealthy fast. Meanwhile, the workers who'll actually build and maintain this infrastructure? They're largely invisible in Wall Street's calculations. JPMorgan Chase CFO Jeremy Barnum offered a telling comment about the spillover effects: "It's like the comments about data centers wind up creating a lot of demand for plumbers and electricians, so you wind up seeing it in sort of slightly non-obvious places." Plumbers and electricians. That's the trickle-down story here—and it's a thin trickle at that.
Meta Platforms is working with Morgan Stanley and JPMorgan Chase on a roughly $13 billion financing package for a data center in El Paso, Texas. That's real infrastructure. Real jobs. But who decides whether those jobs come with living wages, benefits, and union representation? Not the workers. Not elected representatives. The banks and the tech companies do.
Official Optimism Masks Underlying Fragility
Bank of America CEO Brian Moynihan told investors that "the U.S. economy has proved more durable than expected, supported by the strong consumer, ongoing AI-driven investments across the board and easing energy costs, though inflation and tighter monetary policy remain key risks." Notice what's missing from that framing: any discussion of whether ordinary people are actually benefiting from this investment cycle, or whether we're simply watching capital concentrate further at the top.
Citigroup CEO Jane Fraser noted that AI was "dominating a lot of the conversation" with spending on technology, data centers, energy and defense accelerating. The defense component deserves scrutiny. An economy increasingly oriented toward AI-driven military technology raises questions about democratic oversight and public accountability that Wall Street isn't asking.
Bank of America extended a $520 million credit line to OpenAI, its first loan to the AI company. The ease with which capital flows to these firms—while small businesses and workers struggle to access credit—reveals a two-tiered financial system. Those at the cutting edge of AI get whatever they need. Everyone else makes do.
Why This Matters:
The AI capex super cycle is real, and it will reshape the economy for years to come. But the way it's being financed and managed reveals a deeper problem: major economic transformations are being driven by private capital seeking maximum returns, with minimal input from democratic institutions or consideration for broad-based prosperity. Investment banks are capturing enormous fees while bearing little risk. Tech companies are accessing virtually unlimited capital. Meanwhile, the workers who'll staff data centers, the communities where infrastructure gets built, and the public interest in how AI develops—these are afterthoughts. Without stronger public oversight, progressive taxation on these windfall gains, and intentional policy to ensure AI benefits are widely shared, this boom will deepen inequality rather than lift up the broader economy. The question isn't whether AI investment will continue—it will. The question is whether we'll demand that it serve the many, not just enrich the few.