AI Stocks Rebound, But the Market Is Not Out of the Woods Yet

November 10, 2026 | AI & Markets | Thomas

In 30 seconds

Global stocks are recovering after a painful technology sell-off. Wall Street rallied on Monday, Asian semiconductor shares followed on Tuesday, and falling oil prices helped sentiment. But Nvidia’s weakness, expensive AI infrastructure and upcoming inflation data remind investors that the recovery is not necessarily a turning point.

A green screen does not tell the whole story

I opened the market news this morning expecting another round of nervous headlines about artificial intelligence stocks. Instead, most of the numbers were green.

According to Associated Press, the S&P 500 gained 2.3% on Monday, November 9, closing at 7,549.94. The Nasdaq Composite climbed 2.7%, while the Dow Jones Industrial Average advanced 2.2%.

That sounds like a convincing recovery. And after last week’s technology sell-off, investors certainly needed one.

But one detail caught my attention: Nvidia did not participate.

According to Saxo Bank, Nvidia lost approximately 4.3% while Microsoft gained 2.8% and Meta rose 5.1%.

When the company most closely associated with the AI boom moves against the broader technology market, I pay attention.

It tells me investors are becoming more selective.

Asia joins the recovery

Tuesday’s Asian session continued the positive momentum.

Reuters reported that South Korea’s KOSPI gained around 4%, while Japan’s Nikkei advanced approximately 2.5% during the morning session.

Samsung Electronics and SK Hynix benefited from renewed interest in semiconductor stocks.

That matters because AI is not just an American technology story.

South Korean memory manufacturers, Japanese equipment suppliers and Taiwanese semiconductor companies form an essential part of the global AI infrastructure chain.

Without advanced memory, manufacturing capacity and reliable hardware, even the most sophisticated AI models cannot scale.

For someone following technology investments, these companies deserve just as much attention as the familiar American names.

Oil prices are helping technology stocks

One of the more interesting developments has little to do with artificial intelligence itself.

Oil prices are falling.

Reuters reported Brent crude trading around $91.56 per barrel on Tuesday as hopes for diplomatic progress involving Iran reduced immediate concerns about energy supply disruptions.

Lower energy prices can ease inflation pressure and improve expectations for corporate costs.

That is particularly relevant for AI infrastructure.

Data centers consume enormous amounts of electricity. Their economics depend not only on computing performance but also on energy availability, cooling systems and financing costs.

I’ve written before that the AI build-out is increasingly a power story rather than simply a chip story.

This week’s market movements reinforce that view.

The AI spending question remains unanswered

Despite the recovery, I don’t think the underlying debate has changed.

Companies are spending extraordinary amounts on AI infrastructure. Investors still want to know when those investments will generate sustainable returns.

Reuters recently highlighted concerns about AI valuations and the enormous influence technology companies continue to have on the S&P 500.

This concentration creates an uncomfortable situation for private investors.

Even someone holding a diversified American index fund may have substantial indirect exposure to the same AI investment cycle.

That does not automatically make AI stocks bad investments.

It simply means diversification can look better on paper than it actually is.

The upcoming results from CoreWeave and Nvidia should provide additional evidence about infrastructure demand, financing conditions and customer spending.

Inflation could change the mood again

The next important variable is American inflation.

Investors are awaiting October’s US consumer price data, with Reuters reporting expectations of a 0.3% increase in headline consumer prices.

A stronger-than-expected reading could revive concerns about interest rates.

Higher borrowing costs matter for technology companies because investors often value them based on profits expected many years into the future.

They also make financing expensive data centers more difficult.

That combination explains why AI shares can react sharply to economic data that initially appears unrelated to technology.

What I am watching now

For the rest of Tuesday, I am focusing on three questions.

Can the broader market maintain Monday’s recovery? Will semiconductor companies continue attracting buyers? And can AI infrastructure businesses demonstrate that spending is translating into real earnings?

Personally, I am not treating one strong trading session as proof that the correction is finished.

My approach remains straightforward: broad ETFs as the foundation, individual technology positions only where I understand the business, and no attempt to predict every short-term market movement.

AI is still one of the most important technological developments of our time.

But an important technology does not automatically make every related stock a good investment.

The question I keep coming back to is simple: are investors buying sustainable AI earnings, or merely the next recovery in AI expectations?

This article is AI-assisted editorial content prepared for cowlpane.com, not a personally authored statement by Thomas. It is not investment advice. Markets and prices can change rapidly.

Sources: Reuters (November 9–10, 2026), Associated Press (November 9, 2026), Saxo Bank Market Quick Take (November 10, 2026).

Keywords: AI stocks, Nvidia, Nasdaq, stock market today, artificial intelligence, semiconductor stocks, AI investing, November 2026