The numbers no longer add up—at least not in the traditional sense. The SPDR S&P 500 ETF (NYSE:SPY) just added roughly $30 billion in a single week, even as the “physical reality” tells a different story. U.S. GDP growth was revised down to 0.5%, spot oil prices hit a record high, and an active geopolitical conflict is choking global trade flows.
Yet the market climbs.
The Buffett indicator, a ratio of the total U.S. stock market to GDP, has climbed to 223.5%—a level that makes the 162% peak during the Dot-Com bubble look almost conservative. Historically, such readings signaled imminent danger. Today, they barely register as a concern.
Such paradoxes best show the ongoing structural shift. The stock market is no longer a wind vane for the real economy. It has become a leveraged bet on a narrow but powerful future—one driven by artificial intelligence, capital intensity, and financial system resilience. Investors are no longer buying “America.” They are buying a handful of global platforms increasingly detached from the “dirt and diesel” economy.
Micro is Macro
Company-level dynamics, specifically AI-driven capital expenditures, have become so large that they now are the macroeconomy.
In Blackrock’s words, micro is now macro. Thus, the world’s largest asset manager has recently moved to an overweight position in U.S. equities.
“Equity valuations have become cheaper as earnings expectations are revised higher,” BlackRock’s Global Chief Investment Strategist Wei Li said in a recent video, pointing to AI and tech as key drivers.
That theme is global. Semiconductor-driven earnings upgrades are lifting both U.S. and emerging markets, with U.S. tech alone expected to post roughly 43% earnings growth in 2026. In that context, the numerator of the Buffett Indicator—corporate earnings—is surging, even as the denominator—GDP—stalls.
That dynamic is the source of the paradox. If GDP is structurally weaker while earnings are structurally stronger, the ratio itself may no longer be a reliable warning signal. The S&P 500 increasingly resembles a global AI index, domiciled in a slowing U.S. economy.
7,300 Target vs. The Fragility of Breadth
Fundstrat’s Managing Partner Tom Lee recently set a 7,300-target for the S&P 500, arguing that war and oil shocks are no longer purely negative inputs.
“We’re now seeing that the U.S. stock market can handle a surge in oil, while it hurts other countries. We now feel comfortable that the war is actually stimulating the economy,” he said in an interview for CNBC.
This reframing turns traditional macro logic on its head. Defense spending becomes fiscal stimulus. Energy shocks become manageable. Even inflation risks appear muted.
“I think stocks can go to that 7,300, which is our base case for this year, and our three-phase market before we might see a larger drawdown,” he added.
Beneath the surface, however, cracks remain. Market concentration, while easing slightly, still leaves the top 10 stocks at roughly 37% of the index. Financials are beginning to participate—Morgan Stanley’s record revenues hint at a broadening rally—but the bottom half of the market continues to struggle under stagflationary pressure.
However, the question begs itself: Is this a healthy rotation, or quiet distribution?
The answer may not lie in valuation at all. It lies in liquidity. As long as earnings revisions and capital flows support the AI-driven leaders, the record-high Buffett indicator can persist or even rise.
But if the Federal Reserve missteps in navigating stagflation, the same ratio could quickly transform from a curiosity into a trap.
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