The earnings story starts and ends with two letters
At the start of the year, Wall Street penciled in roughly 16% earnings growth. The figure now sits closer to 25%. The reason for that jump traces back to AI. Analysts massively underestimated how parabolic earnings would turn out to be. The strength went beyond a handful of chip names, since most sectors saw improvement, so there was real breadth underneath the headline.
Part of the underestimation came from caution built into the moment. The third month of the quarter coincided with the first month of the war, and in that kind of environment analysts had no appetite for raising the estimate bar. Then earnings season arrived and forced the revision. First-quarter results went vertical, an upside-down hockey stick, and that pulled up estimates for the remaining three quarters as well as full-year 2026. This has been the single most important fundamental support underpinning the bull market.
Is the pace sustainable, or is a fall set up?
There is a genuine risk of extrapolation, of assuming the current rate of growth simply continues. The contrast with the late 1990s matters here. Back then the bubble lived in the P of the price-to-earnings ratio, because many of the leadership companies had almost no E behind them. This cycle is different. There is an extraordinary amount of E in the equation, and as a result multiples have actually come down rather than blown out.
The concern is more subtle. The expectations bar has climbed so high that the margin of error has narrowed compared with the past. A company can deliver only a marginal miss and still trigger trouble, whether that shows up as a one-off stumble or a broader industry wobble. That leaves room for volatility under the surface even while the index looks calm, precisely because so much is already priced in.
Inflation, rates, and a Fed that may have to hike
Among market drivers, the 10-year Treasury yield carries the highest correlation with equity performance. It has calmed down recently, which has supported stocks and helped fuel a strong small-cap rally. The relationship shows up as an inverse correlation between the 10-year yield and the S&P 500, currently sitting in steep negative territory. That reading has bounced around, but it may reflect a secular shift toward an era where inflation volatility becomes the dominant concern. When the 10-year yield takes its cue from inflation rather than growth, rising yields tend to hurt equities.
Some relief is coming from base effects and from oil prices falling. The trouble is that inflation runs broader than oil. AI itself is a component of the inflation story, and there is still tariff pass-through working its way through prices. The base assumption is that the Fed will be in a position to consider rate hikes this year, which puts these elevated earnings estimates on notice.
Are markets more sensitive to Treasury yields than they were a year ago? Yes, much more so, though the sensitivity keeps ebbing and flowing. There is a longer historical arc worth studying here. The great moderation era ran about 25 years up to roughly 2022, and through that stretch bond yields and stock prices moved in the same direction. In the 30 years before that, they did not. The current data deserves a more secular look than any short chart can provide.
Can earnings carry the load if the Fed tightens?
The earnings that matter most, concentrated in the broader AI space, carry little direct interest-rate sensitivity. The vulnerability sits further down the size spectrum, among smaller companies with thin earnings or none at all, the ones that struggle to make interest payments. Expect differentiation at the cap level depending on where rates go.
The decisive factor is not simply whether the Fed moves toward tighter policy. It is the speed. If the Fed can take a slow escalator up, moving gradually with hikes, that is a far friendlier backdrop for equities than a fast elevator. History also offers a rotation guide. In the lead-in to the first rate hike, cyclicals tend to do well, which is playing out now. Once hiking actually begins, attention shifts toward defensives.
The CapEx question
Amazon, Microsoft, Alphabet, and Meta each grew capital spending by about 70% year-over-year in 2025. The question is whether markets are still handing these management teams a blank check for AI infrastructure or whether patience is wearing thin. Concerns are starting to creep in, and they help explain what could be called the great chip dip.
The math behind the worry is straightforward. The capital consumed through this spending runs significantly higher than the profit contribution, visible in the share of net income relative to the S&P 500. That gap deserves attention. A growing number of corporate enterprises are signaling they may have to pare back some of the spend, because the concrete productivity benefits and the return on invested capital have not fully shown up yet. This is not a lookout-below moment, but the scrutiny is real, and there is a more discerning eye on these data points now.
If monetization does not materialize, the anecdotes about weighing the pros and cons of continued massive AI spend will grow louder. Even with token prices falling, the spend stays large. One reframing comes from corporate leaders themselves, who are beginning to ask at what point human capital starts to look relatively inexpensive by comparison. If AI threatens to disrupt the labor force, there may be an offsetting benefit on the cost side. The margin picture sharpens the tension. Micron reported results with margins in the 75 to 80% range, and margins that fat mean someone else is eating that cost. That dynamic is entering the narrative, and it is why analysts heading into earnings season will look far more closely at profit margins, productivity, and return on invested capital.
The consumer and the wealth effect
Household equity ownership has climbed above 45%, nearly triple the lows recorded during the 2008 financial crisis. Two questions follow: does that leave the market more vulnerable to corrections, and are households systemically overexposed to an equity decline?
The relationship works both ways, a chicken-and-egg problem. The rise in household exposure alongside a healthy bull market since the 2022 bear market has, through the wealth effect, supported the broader economy. The risk is directional. If a corrective phase runs deeper than the shallow dips seen lately, it could feed back into economic activity. That is precisely the sequence that unfolded from the late 1990s into the early 2000s. The bear market began in March 2000, and a recession arrived in 2001. That recession came about because of the bear market in stocks. There were no major economic dislocations, no financial system breakdown, and no dramatic monetary tightening. The wealth effect did the damage once stocks rolled over.
So the metric cuts in multiple directions. It has been a tailwind, and the base case still treats it as one. The open question is whether economic weakness, should it appear first, works its way into household exposure, or whether the causality runs the other way.
