The stock market frequently has the atmosphere of a boisterous room where everyone is claiming to know what will happen next. However, the true story isn’t always very loud. It’s not overt. silent motions. tiny changes in capital that, when combined, begin to appear larger. That appears to be the current situation.
The U.S. equity markets appear nearly dull on the surface in 2026. This year, the major indexes have hardly changed at all. Rarely have fluctuations been more than a few percentage points between highs and lows, staying within a small range. A cursory glance at the charts could lead one to believe that investors have entered a period of calm. However, money is moving swiftly beneath that serene exterior.
| Category | Details |
|---|---|
| Topic | Sector Rotation in the U.S. Stock Market |
| Key Market Indicator | Morningstar US Market Index |
| Market Valuation (Feb 2026) | U.S. equities trading ~7% below estimated fair value |
| Leading Sectors in 2026 | Energy, Basic Materials, Industrials |
| Underperforming Sectors | Technology, Financial Services |
| Major Theme | Investor shift away from crowded AI and software trades |
| Notable Trend | Software stocks down 30–40% in many cases |
| Influencing Factors | AI disruption fears, commodity rebound, geopolitical tensions |
| Key Companies Mentioned in Market Narrative | ExxonMobil, Chevron, Caterpillar, Deere |
| Reference Source | https://www.morningstar.com |
This year, energy stocks have increased by almost 25%. Stocks of materials have increased by nearly 19%. Industrials are also rising rapidly and are not far behind. In the meantime, technology, which has long dominated the market, has begun to decline. It’s not precisely collapsing. However, it is obvious that the excitement that once surrounded it has subsided.
Last week, as I strolled through midtown Manhattan and observed traders leaving office towers close to Park Avenue, I noticed that the conversations sounded different than they did a year ago. Artificial intelligence was the talk of the town a year ago. AI chips. cloud-based AI systems. Everything is AI. The tone seems more circumspect now.
Naturally, investors continue to have faith in AI. It’s hard not to. The infrastructure that surrounds it is enormous: data centers are growing, the demand for electricity is increasing, and construction equipment is being used in enormous new projects all over the nation. However, rising stock prices aren’t always a result of belief.
Particularly, software companies are under pressure. Many of them have fallen from recent highs by 30% to 40%. The cause appears to be, at least partially, a growing concern that their own products may be disrupted by the same technology they helped make possible. It is an odd turn of events.
Writing code, managing workflows, and document analysis are among the tasks that AI tools are starting to take over from traditional enterprise software. Investors seem to be posing an awkward query: what would happen if some of these businesses lost their ability to set prices? The answer is still unknown.
Simultaneously, sectors that were previously perceived as nearly uninteresting have suddenly gained popularity again. manufacturers of construction equipment. mining firms. producers of oil. companies whose operations rely more on physical infrastructure than on digital platforms. Regardless of the outcome of the AI race, these businesses seem to gain from it.
The power plants must be constructed by someone. The metals required for servers and transmission lines must be mined by someone. The equipment that pours concrete and builds steel frames must be manufactured by someone.
It was difficult to ignore the connection when I recently observed Caterpillar equipment at a construction site outside of Dallas—yellow excavators parked next to a partially constructed data center. Despite being digital, the AI boom has a very tangible impact. Additionally, physical industries are now profitable once more.
Another hint is provided by the energy markets. Geopolitical tensions and changing foreign policy dynamics have contributed to the rise in oil prices this year. Given the volatility surrounding important producing regions, investors appear to think that supply risks may continue. Oil companies have sharply increased as a result.
Long written off by some investors as holdovers from a bygone era, ExxonMobil and Chevron are once again garnering attention. It makes sense practically. The need for energy won’t go away anytime soon. If anything, AI data centers’ energy needs might make them more demanding. The mood of the market is still unclear, though.
Technology stocks are not always doomed. In fact, following the recent decline, many analysts think they are becoming undervalued. According to some estimates, the tech industry as a whole currently trades at about a 20% discount to fair value. This generates an intriguing tension.
Investors appear doubtful in the near future but optimistic in the long run. While discreetly monitoring beaten-down growth stocks, they are rotating their investments into value sectors.
This rotation may turn out to be only temporary. When sentiment changes, markets tend to snap back. However, the atmosphere has shifted for the time being. Perhaps the best way to put it is AI fatigue.
For several years, the so-called Magnificent Seven companies dominated the stock market conversation. Index gains were nearly entirely driven by Apple, Microsoft, Amazon, and their peers, who appeared to be unstoppable. Dominance now appears less certain. Not gone. Less evident, that is.
As the market develops this year, investors seem to be rediscovering something they had all but forgotten: the economy is not just about technology.
Steel mills are still in operation. Pipelines are still used to transport oil. The land where new infrastructure is built is still shaped by bulldozers.
Furthermore, the most intriguing changes in markets don’t always occur when everything collapses. They take place in silence, with capital moving from one area of the market to another, leaving yesterday’s favorites only marginally behind.

