NVIDIA : AI Stocks Are Falling, Is the Market Losing Patience?NVIDIA CorporationBATS:NVDADr_Rabbit_Nvidia NVDA pulled back from the $243 area, and the selling is spreading across the AI sector. Even with new chip announcements and more AI partnerships, buyers are struggling to bring these stocks back up. For me, the interesting part is that the AI story hasn’t disappeared. Companies are still investing heavily, demand for computing power is still there, and Nvidia is still building new technology. But the market is starting to question how much of that future growth is already priced into these stocks. That’s why I’m paying attention to this pullback. If investors start cutting their expectations, even good companies can fall hard. ▫️Why are AI stocks falling? 1. Investors want to see the money coming back. AI companies are spending huge amounts on data centres, chips, power and computing infrastructure. Nvidia benefits from this spending because its chips are a major part of the AI buildout. But there’s another side to it. The companies buying all this hardware need to make enough money from AI to justify the cost. If that return takes longer than expected, investors may start questioning the amount being spent. That doesn’t mean AI demand is gone. It means the market is becoming more careful about how much it’s willing to pay for future growth. Reuters reported on October 13 that the AI chip sell-off is being driven by concerns about rising rates, the huge cost of AI investment and whether those investments will deliver enough profit. The pressure is spreading beyond Nvidia to other companies linked to the AI boom. 2. The OpenAI revenue story has added pressure. Another issue is the recent discussion around OpenAI’s revenue. Reuters reported that OpenAI’s September annualised revenue was nearly $50 billion, below the roughly $70 billion figure previously discussed. But there’s an important detail here: the figures weren’t calculated on exactly the same basis. OpenAI excludes some revenue from sales through cloud partners, while Anthropic includes revenue from those partnerships. So this isn’t proof that AI demand has suddenly collapsed. Still, the news has made investors take a closer look at the numbers behind the AI boom. Why does this matter for Nvidia? Because investors are trying to work out whether the money being spent across the AI industry can support the growth expectations attached to chipmakers and data centre companies. 3. Competition is getting harder to ignore. Nvidia has a strong position in AI computing, but competition is growing. Chinese chipmakers are developing their own technology, and companies are exploring different ways to run AI workloads more efficiently. A Reuters report on October 13 said Nvidia’s share of China’s data-centre AI chip market fell to 34% in the first half of 2026, while Huawei gained ground. US export restrictions have also limited Nvidia’s ability to sell its most advanced products in China. This doesn’t mean Nvidia is losing its global lead overnight. But China is a market Nvidia cannot fully serve under current restrictions, and local competitors are trying to fill that gap. 4. Good announcements are no longer enough to lift the stock. At the OCP Global Summit, Nvidia shared more details about its Vera Rubin platform and open infrastructure designs, working with major technology companies on AI systems. That’s important for the long-term AI story. But the stock market often looks beyond the announcement itself. Investors want to know how quickly these developments translate into orders, revenue and profits. On October 12, Nvidia and AMD shares fell for a fourth straight session despite new AI-related announcements. That tells me traders are paying more attention to valuations, spending and expected returns than to the headlines alone. I’m not calling this the end of the AI boom. But buying every dip just because a company is connected to AI is becoming a riskier trade. The market wants results, and these stocks can keep falling if expectations are too high. ▫️My NVDA 2H chart setup On the 2H chart, NVDA has pulled back from around $243 and lost its short-term rising structure. Price is now near $226, with support around $224–226 and resistance at $229–230. ▫️ My trade plan > SHORT SIDE Entry: $228–230 TP1: $224 TP2: $214 TP3: $210 Stop-loss: $234 I’ll take the short if price bounces into $228–230 and gets rejected. First target is the $224 support zone. If sellers push through it, I’ll look for a move toward $214–210. If NVDA moves above $234, I’m out. I don’t want to hold a short if price starts recovering that lost ground. The upcoming US inflation data and major earnings reports also matter. Strong inflation data could keep pressure on growth stocks through interest-rate expectations, while results that ease concerns about AI spending could help buyers return. Neither outcome is guaranteed, so I’m keeping the trade tied to price levels instead of trying to guess every headline. ▫️Trading NVDA outside regular market hours For traders who want exposure to US stocks beyond the regular US market session, Bitget offers 24/7 Stock Futures. That can be useful when news breaks outside normal market hours, especially with a stock like Nvidia that reacts quickly to AI headlines. But extended trading hours don’t remove risk. Price can move sharply, and a trade can still go wrong. I’d rather use a clear entry, a stop-loss and sensible position sizing than chase every move. AI isn’t going away, but the easy-money phase of buying every AI stock may be over. For NVDA, I’m looking for a weak bounce into $228–230 to take the short. If support breaks, $214–210 is my next area.