The Scoreboard

Here is how the major AI-linked stocks have performed year to date. The gap between winners and losers is striking.

On the winning side: Intel is up 67% in 2026. ASML, which makes the machines used to fabricate advanced chips, is up 22.1%. Taiwan Semiconductor (TSMC) has gained 13.7%. Texas Instruments is up 15.1%. Seagate, which makes data storage drives for AI data centers, has surged over 600% in the past year.

On the losing side: Microsoft is down 23% from its highs. Meta has dropped 12.9% year to date. Amazon is off 7.5%. Apple has slipped 6.9%. Alphabet has held up best among the big spenders, down just 2.5%.

Why the Split

Investors are worried about one thing: overspending. The big tech companies are pouring hundreds of billions into AI data centers, training runs, and infrastructure. Wall Street is starting to ask when that spending will turn into profit.

Microsoft is the clearest example. Its cloud business Azure grew 39% last quarter. It holds a $625 billion backlog of contracted usage. Those are strong numbers. But the stock is down 25% from its all-time high because investors fear the capital spending is outpacing the returns.

Meanwhile, the companies selling the "picks and shovels" of the AI boom are cashing in. Chip demand is surging. AMD and Intel both rallied over 7% in March on reports of CPU price hikes driven by AI data center demand. Storage companies like Seagate are seeing record orders.

The Rotation Is Real

Hedge funds and institutional investors are repositioning. Money is flowing out of software-heavy AI plays and into semiconductor and infrastructure stocks. The S&P 500 and Nasdaq are roughly flat in 2026 after two years of 40%-plus gains. That flatness hides a major rotation happening underneath.

Chip-focused ETFs are outperforming. Software ETFs are lagging. This is not a bet against AI. It is a bet that the hardware makers, not the hardware buyers, will capture most of the near-term profit.

The Takeaway

The AI trade is not dead. It has evolved. If you own big tech names that are spending heavily on AI, watch their earnings closely for signs that revenue is catching up to investment. If you want exposure to AI's growth without the spending risk, the chipmakers and infrastructure companies are where the market is placing its bets right now.

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