Big Tech: Nvidia, SpaceX and Big Tech All Got Hammered

For most of the past two years, the formula was simple. Announce AI growth. Watch the stock go up. The bigger the AI number, the bigger the rally.

This week, the formula stopped working. Nvidia lost nearly four percent. The Nasdaq 100 dropped 3.3 percent. SpaceX shares pulled back sharply from their IPO-week highs. Big Tech broadly had one of its worst sessions in months. And the reason is not that investors stopped believing in AI. It is that they started asking a different question about it.

What happened in the market

The S&P 500 fell 1.4 percent and the Nasdaq 100 lost 3.3 percent in a session driven by AI infrastructure names getting hit hard, Yahoo Finance reported. Nvidia dropped 3.99 percent. Caterpillar, which has exposure to the data center construction boom through industrial equipment, fell 3.55 percent. Honeywell, another industrial bellwether, shed 2.37 percent.

On the same day, SpaceX shares, which had rocketed out of their IPO at highs fueled by a euphoric peace-rally market, pulled back as investors processed the actual financials underneath the historic debut. The company is valued at 94 times its 2025 revenue and posted a net loss of $4.27 billion in a single quarter. That kind of math requires sustained belief, and belief is the first thing that fades in a risk-off session.

The new question investors are asking

Here is the shift that explains Tuesday’s selling. For most of the AI boom, the market’s question was simple: how much AI exposure does this company have? More exposure meant higher valuation. The answer did not matter as much as the number.

The question has changed. Investors are now asking: are the returns on AI infrastructure spending actually going to show up, and when? The semiconductor and memory chip producers that powered the AI buildout saw sharp selling on TheStreet’s account of the session, driven by increasing skepticism that hyperscaler spending will meet the returns investors priced in.

That is a materially different concern than the one that drove the market for two years. It is no longer a question of whether AI is real. It is a question of timing, of whether the revenues justify the hundreds of billions being borrowed and spent right now. Oracle’s post-earnings crash last month was the first warning. This week was confirmation that the skepticism is spreading.

The bright spots in a red session

Not everything fell. IBM rose 4.92 percent, Merck gained 3.54 percent and Johnson and Johnson added 3.36 percent. The day’s winners share a common feature: they are large, cash-generating businesses with revenue that does not depend on AI spending hitting ambitious targets. In a risk-off day driven by AI skepticism, the market rotated toward exactly the kind of company it had been ignoring while chasing semiconductors.

Alphabet was an exception in the tech space, rising about 0.5 percent after S&P Global announced the Google parent will join the 30-stock Dow Jones Industrial Average. But even that was a narrow positive in a broadly red tape.

Micron as the next data point

All eyes are now on Micron Technology, whose earnings report was expected after Tuesday’s close. Micron is the largest US maker of memory chips, which go into every AI data center being built. Its results will tell investors whether the demand for AI infrastructure is as robust as the hyperscalers have been promising, or whether the buildout is beginning to slow.

A strong Micron print could stabilize the narrative. A miss, or a cautious forward outlook, would confirm the skepticism that drove Tuesday’s selling and likely accelerate the rotation away from AI hardware names.

A red session is not automatically a warning, and that is the part worth sitting with. When a handful of enormous names carry an entire index, a pullback in those names drags everything down even when the broader picture is fine, and what looks like a crash is sometimes just concentration unwinding. The real question is whether this is a healthy rotation out of a crowded trade or the start of investors repricing what AI is actually worth. One is a correction. The other is a regime change, and the next few weeks of earnings will tell you which one you are looking at.

Why This Matters

Markets leading indicators. When the stocks of companies building AI infrastructure start falling on the same week that CEO confidence data shows executives planning layoffs, the two signals are pointing at the same underlying concern: the returns on the current level of investment have not arrived yet, and the people making decisions are starting to hedge.

For retail investors who loaded up on Nvidia and AI ETFs over the past two years, the question is whether Tuesday was a correction within a bull market or the start of a more serious repricing. The honest answer is that nobody knows yet. What has changed is that the easy, unambiguous phase, buy anything with AI in the pitch deck and win, is definitively over.

The NewsSparq Takeaway

Three things to hold onto.

One, this is a repricing of AI timing, not a rejection of AI. Investors have not concluded AI is a fraud. They have concluded the returns are taking longer than the 2024 and 2025 valuations assumed. That is a painful but normal market adjustment.

Two, the rotation to defensives is the tell. When IBM and Merck beat Nvidia on the same day, the market is saying it wants proven cash flows over promises. That shift can last months.

Three, Micron’s earnings are now the short-term verdict. If AI data center demand is holding, Micron says so. If it is softening, Micron says that too. Watch for it, because the market will price the answer fast.

The AI boom is not over. The easy money phase probably is. The market shifted the question this week, and the companies that built their stories on AI exposure without showing the returns are the ones that will feel the new question most sharply.

Sources: Yahoo Finance, TheStreet.

By The NewsSparq Editorial Desk

Nvidia, SpaceX and Big Tech All Got Hammered. The Market Just Changed the Question It Is Asking About AI.