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Top 5 Best Chinese AI Stocks to Watch in 2025

Timothy SykesAvatar
Written by Timothy Sykes
Updated 8/20/2025 15 min read

In this article Last trade Sep, 29 12:44 PM

  • BABA+4.44%
    BABA - NYSEAlibaba Group Holding Limited American Depositary Shares each representing eight
    $179.54+7.63 (+4.44%)
    Volume:  14.60M
    Float:  2.27B
    $171.91Day Low/High$181.34
  • BIDU+1.97%
    BIDU - NYSEBaidu Inc.
    $133.93+2.59 (+1.97%)
    Volume:  2.32M
    Float:  277.42M
    $131.34Day Low/High$135.83
  • KC-2.37%
    KC - NYSEKingsoft Cloud Holdings Limited
    $15.27-0.37 (-2.37%)
    Volume:  1.40M
    Float:  237.89M
    $15.01Day Low/High$15.73
  • TCEHY+2.15%
    TCEHY - NYSETencent Holdings Ltd. ADR
    $85.18+1.79 (+2.15%)
    Volume:  699070
    Float:  9.23B
    $83.70Day Low/High$85.35
  • WB+0.69%
    WB - NYSEWeibo Corporation
    $12.41+0.09 (+0.69%)
    Volume:  693373
    Float:  85.69M
    $12.39Day Low/High$12.88

The best Chinese AI stocks to watch in 2025 show how traders can adapt to global tech trends without losing sight of volatility and price action. Artificial intelligence is driving major shifts in China’s technology sector, and traders should track how AI adoption affects revenue, valuation, and trading setups. These stocks present short-term opportunities for those who stay focused and learn to read catalysts in the context of sector momentum and market risk.

Check out my AI penny stocks watchlist for more picks!

5 Chinese AI Stocks to Watch in 2025

CompanyTickerFocus Area
Kingsoft Cloud Holdings Ltd.NASDAQ: KCAI-powered cloud infrastructure
Alibaba GroupNYSE: BABAAI services, e-commerce, and cloud
Weibo CorporationNASDAQ: WBAI in digital advertising
Baidu Inc.NASDAQ: BIDUAI cloud, search, autonomous driving
Tencent HoldingsOTCPK: TCEHYAI platforms, gaming, smart mobility

Before you send in your orders, take note: I have NO plans to trade these stocks unless they fit my preferred setups. This is only a watchlist.

The best traders watch more than they trade. That’s what I’m trying to model here. Pay attention to the work that goes in, not the picks that come out.

The AI revolution in China is intertwined with the broader tech sector. Companies like Tencent and Alibaba anchor both the consumer internet and AI infrastructure, while startups in e-commerce, gaming and social media continually integrate machine learning. Because of regulatory shifts and U.S. tensions, these tech names can be more volatile than their Western counterparts, but they also trade at steep discounts. For investors willing to monitor political risk, there could be significant upside in the coming years. To broaden your watchlist, read up on Chinese tech stocks.

There’s a lot of uncertainty surrounding Chinese stocks today. Trump’s tariffs and the trade war that seems to be brewing puts a lot of variables in play…

That doesn’t change the basics of good, risk-informed trading. But it does change the opportunities you might see.

If you do decide to make a trade, I’ve got one piece of advice… USE AI TO TRADE AI!

XGPT is the AI tool my team and I have built to spot high-odds stock setups—faster, smarter, and more efficiently than any human can. You don’t have to be a math genius or some tech wizard. XGPT analyzes patterns, price action, and data the way my top students do… only it does it 1,000x faster.

Whether you like it or not, AI is part of modern trading. Other traders are already using it, shouldn’t you?

Kingsoft Cloud Holdings Ltd. (NASDAQ: KC)

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Kingsoft Cloud Holdings Ltd. is becoming one of the most watched Chinese AI stocks in 2025 thanks to its role as a pure-play cloud company aggressively shifting toward AI. UBS recently raised its price target while maintaining a Buy rating, noting that AI-driven revenue is expected to rise from 17% in 2024 to over 40% by 2027. That’s a massive growth curve, especially considering the company’s public cloud segment is projected to grow at a 20% CAGR.

When I teach traders to spot high-upside potential, I focus on catalysts that drive sector rotation and valuation shifts. In KC’s case, increased AI adoption and deeper integration with Xiaomi’s ecosystem are significant triggers. It’s also improving operating margins, with expectations to hit profitability by 2027. These are the kind of technical and fundamental shifts that can change a stock’s entire trading range.

The risk here is tied to scale and international uncertainty. But from a trading setup standpoint, KC has price action potential thanks to AI buzz, cost efficiency, and a well-timed narrative.

Alibaba (NYSE: BABA)

Alibaba is still one of the biggest names in China’s technology sector, and its AI investments are giving traders plenty of signals to watch in 2025. While its stock is far below its 2020 highs, its AI and cloud businesses are gaining momentum again, contributing to double-digit revenue growth in key segments. The company’s Taobao and Tmall platforms, along with Alibaba Cloud, are expanding AI use cases across retail, logistics, and customer service.

Alibaba’s ability to shift business models has always been worth watching. I teach my students to pay close attention to large caps during transition phases — especially when those shifts involve platform integration and AI development. Even though China’s regulatory pressure slowed Alibaba in recent years, the company’s bounce potential should not be underestimated when paired with the right macro catalyst.

The valuation is still attractive compared to peers, and short-term trades around earnings or sector momentum can be highly profitable if you time your entries with volume and news catalysts.

Just watch out for trade war turbulence.

More Breaking News

Weibo Corporation (NASDAQ: WB)

Weibo Corporation is trying to stay relevant in the AI space by applying artificial intelligence to brand advertising and platform management. It beat earnings expectations for Q1 2025, reporting $0.45 per share on $396.9 million in revenue, but analysts are cautious about future growth. While management is investing in AI to hold market share, concerns remain about a weaker tech stack compared to competitors.

In my experience, stocks like WB can become sympathy plays or indicators for broader sector sentiment — especially in Chinese tech. I don’t recommend chasing laggards unless you see volume spikes or specific catalysts. Weibo might give opportunities for short-term bounces, but I’d treat it more as a watchlist stock, not a lead play.

Traders should treat this one carefully. The AI narrative isn’t strong enough on its own, and the limited upside from its current strategy could mean it underperforms unless a clear shift or news event flips sentiment.

Baidu (NASDAQ: BIDU)

Baidu remains a major player in Chinese artificial intelligence, especially with its AI Cloud business and autonomous driving program. In Q1 2025, AI Cloud revenue jumped 42% year over year and now accounts for 26% of Baidu Core revenue. It also dominates China’s search engine market with a 53% share and leads in AI patent filings among Chinese companies.

Read more: Baidu Unveils Major AI Advancements, Stock Eyes On The Future

What stands out to me is how Baidu is transitioning from a traditional search platform to a full AI-powered ecosystem. That kind of shift often comes with short-term volatility, but it can also be a trader’s edge if you know how to work with speculative setups. Baidu’s robotaxi platform, Apollo Go, already completed 1.4 million rides in the quarter and has entered overseas markets.

The key risk is monetization. AI search transformation is still new, and ad revenue is under pressure. Chip export restrictions from the U.S. could also hit its infrastructure. But the value metrics, especially its low P/E ratio, make this a strong candidate for oversold bounce trades.

Tencent (OTCPK: TCEHY)

Tencent is blending AI into its massive digital empire across gaming, cloud, entertainment, and smart mobility. While not listed directly on a major U.S. exchange, its shares are still traded via OTC, and it remains one of China’s most powerful AI companies. Recent deals, including deeper integration with autonomous driving firm WeRide and an expanded stake in Ubisoft’s new game unit, show Tencent’s global ambitions.

Tencent Music is also a major part of the package.

I always tell traders to look at companies that are quietly positioning themselves for long-term growth while still offering short-term volatility. Tencent’s partnerships are not just about brand exposure — they are directly tied to AI development, cloud platform enhancements, and real-time user data applications. This is how you build edge as a trader: follow where the capital and innovation are going, not just the headlines.

With its reach into mobile, cloud, and smart vehicles, Tencent’s AI footprint is wide and growing. I’d watch this one for breakout setups tied to sector strength or international expansion news.

How to Analyze Chinese AI Stocks

To analyze Chinese AI stocks, traders need to combine technical setups with fundamental context — especially around earnings, news, and sector momentum. The AI industry in China is developing rapidly, but not every company has the infrastructure, products, or platforms to turn that into actual revenue. Look for AI integration that drives product development, user growth, or cost efficiency.

From my years of trading and teaching, I stress the importance of narrowing your focus to the strongest setups. AI stocks with growing cloud platforms, enterprise partnerships, or product innovation are better trades than hype-driven names. Use volume and price action to confirm that momentum is real before entering.

Chinese equities don’t move in a vacuum. Trade disputes, export controls and capital-flow restrictions all shape the trading environment. A recent slowdown in U.S.–Chinese investment has depressed valuations; the KWEB ETF trades at a deep discount, yet Washington’s restrictions on semiconductors and AI exports create ongoing uncertainty. Remember that cheap isn’t always good — Chinese stocks include ADRs and U.S. companies with heavy exposure to China. Before allocating capital, read more about the risks and opportunities in Chinese stocks and U.S.–China tensions.

It’s important to use a trading platform with real-time data to track momentum.

When it comes to trading platforms, StocksToTrade is first on my list. It’s a powerful day and swing trading platform with real-time data, dynamic charting, and a top-tier news scanner. I helped to design it, which means it has all the trading indicators, news sources, and stock screening capabilities that traders like me look for in a platform.

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Also, factor in chip supply, like GPUs from Nvidia, and whether the company has stable access or alternatives. In China, domestic chip development matters a lot, especially with U.S. restrictions in play. Traders who learn to weigh both local and global risks will have a better shot at consistent gains.

Risks and Challenges in Trading Chinese AI Stocks

Trading Chinese AI stocks comes with added risk from politics, regulation, and reporting transparency. One major challenge is the constant shift in U.S.-China relations, which affects everything from tariffs to tech export bans. These macro risks can crush a good setup overnight, and that’s why I always emphasize staying nimble and not getting too biased on any one stock.

Traders must also consider how AI regulation inside China impacts development. Government policies can suddenly block IPOs, shut down segments, or restrict data use. I’ve seen solid trades fail because the rules changed mid-game. This is why I stick to short-term strategies, especially in sectors as volatile as AI and tech.

Liquidity is another issue, especially for U.S.-listed ADRs of Chinese companies. Always check volume and spreads before you trade. You want clean exits, not traps. Be cautious and ready to cut losses fast — that’s how you protect yourself in these kinds of environments.

How to Buy the Best Chinese AI Stocks from the U.S.

Buying the best Chinese AI stocks from the U.S. typically involves trading American Depositary Receipts (ADRs) listed on the Nasdaq or NYSE. Companies like Baidu, Alibaba, and Kingsoft Cloud have ADRs that trade just like U.S. stocks. For Tencent, which trades OTC, you’ll need a brokerage that offers access to pink-sheet markets.

I always tell new traders to focus on liquidity and broker reliability. You don’t want slippage or failed orders due to lack of volume. Stick to well-known names unless you have a specific catalyst or reason to play the lower-volume tickers. Make sure you understand the fees and conversion costs with foreign equities.

Also, stay informed with earnings, SEC filings, and company press releases. Even though these are Chinese firms, their U.S.-listed shares still operate under U.S. regulations. That gives you more data to work with, and in trading, data is opportunity — if you know how to use it.

Many of China’s AI leaders are well known, but some small-cap players fly under the radar. For more examples of overlooked opportunities, check out our coverage of under-the-radar AI plays.

Key Takeaways

Chinese AI stocks offer serious potential for short-term trading, but you have to know what you’re looking for. Focus on companies with real AI products and revenue growth, not just headlines. Trade the best setups, not the most popular names.

Stick to the ones with volume, news catalysts, and solid technical patterns. These companies are growing fast in AI models, cloud services, and digital platforms — but risk is always part of the trade. Protect yourself with smart entries, tight risk control, and patience.

And remember — price action tells the truth. Everything else is just noise.

This is a market tailor-made for traders who are prepared. AI stocks thrive on volatility, but it’s up to you to capitalize on it. Stick to your plan, manage your risk, and don’t let FOMO drive your decisions.

These opportunities are fast and unpredictable, but with the right strategy, you can make them work for you.

If you want to know what I’m looking for — check out my free webinar here!

Frequently Asked Questions

How are companies like DeepSeek impacting AI development in China?

Companies like DeepSeek are helping accelerate China’s AI development by releasing affordable, open-source AI models that challenge Western offerings. This shift increases local demand for domestic chips and gpus, while reducing reliance on Nvidia (NVDA) for training and inference. As more Chinese software platforms adopt DeepSeek’s models, traders should watch for performance-driven catalysts tied to rapid AI deployment.

What should be considered when adding Chinese AI stocks to a portfolio?

Traders and investors looking to add Chinese AI stocks to their portfolio should weigh potential returns against volatility, especially given rising competition and geopolitical risks. Strong performers often back their valuation with revenue growth, active users, and expanding AI products across cloud or fintech segments. Careful research and trade-specific analysis are critical for timing entries and exits based on risk tolerance and liquidity.

How important is research and analytics when trading Chinese AI stocks?

Research and analytics are critical when trading Chinese AI stocks, especially due to limited transparency and rapidly changing market conditions. Traders need real-time insights, financial information, and technical analysis to separate hype from substance. I teach students to focus on performance metrics that show actual adoption of AI tools by customers and businesses, not just forward-looking claims.

What role do software and funds play in the AI trading setup?

Software platforms powered by AI are central to user growth and monetization, and some AI funds are beginning to allocate capital toward Chinese stocks showing strong data and innovation. Traders should monitor how these funds react to updates in chips availability and AI software rollouts. When capital shifts, it creates momentum — and that’s where the best returns usually show up for short-term plays.


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Author card Timothy Sykes picture

Timothy Sykes

Tim Sykes is a penny stock trader and teacher who became a self-made millionaire by the age of 22 by trading $12,415 of bar mitzvah money. After becoming disenchanted with the hedge fund world, he established the Tim Sykes Trading Challenge to teach aspiring traders how to follow his trading strategies. He’s been featured in a variety of media outlets including CNN, Larry King, Steve Harvey, Forbes, Men’s Journal, and more. He’s also an active philanthropist and environmental activist, a co-founder of Karmagawa, and has donated millions of dollars to charity.
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In this article (YTD Performance)


* Results are not typical and will vary from person to person. Making money trading stocks takes time, dedication, and hard work. There are inherent risks involved with investing in the stock market, including the loss of your investment. Past performance in the market is not indicative of future results. Any investment is at your own risk. See Terms of Service here

The available research on day trading suggests that most active traders lose money. Fees and overtrading are major contributors to these losses.

A 2000 study called “Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors” evaluated 66,465 U.S. households that held stocks from 1991 to 1996. The households that traded most averaged an 11.4% annual return during a period where the overall market gained 17.9%. These lower returns were attributed to overconfidence.

A 2014 paper (revised 2019) titled “Learning Fast or Slow?” analyzed the complete transaction history of the Taiwan Stock Exchange between 1992 and 2006. It looked at the ongoing performance of day traders in this sample, and found that 97% of day traders can expect to lose money from trading, and more than 90% of all day trading volume can be traced to investors who predictably lose money. Additionally, it tied the behavior of gamblers and drivers who get more speeding tickets to overtrading, and cited studies showing that legalized gambling has an inverse effect on trading volume.

A 2019 research study (revised 2020) called “Day Trading for a Living?” observed 19,646 Brazilian futures contract traders who started day trading from 2013 to 2015, and recorded two years of their trading activity. The study authors found that 97% of traders with more than 300 days actively trading lost money, and only 1.1% earned more than the Brazilian minimum wage ($16 USD per day). They hypothesized that the greater returns shown in previous studies did not differentiate between frequent day traders and those who traded rarely, and that more frequent trading activity decreases the chance of profitability.

These studies show the wide variance of the available data on day trading profitability. One thing that seems clear from the research is that most day traders lose money .

Millionaire Media 66 W Flagler St. Ste. 900 Miami, FL 33130 United States (888) 878-3621 This is for information purposes only as Millionaire Media LLC nor Timothy Sykes is registered as a securities broker-dealer or an investment adviser. No information herein is intended as securities brokerage, investment, tax, accounting or legal advice, as an offer or solicitation of an offer to sell or buy, or as an endorsement, recommendation or sponsorship of any company, security or fund. Millionaire Media LLC and Timothy Sykes cannot and does not assess, verify or guarantee the adequacy, accuracy or completeness of any information, the suitability or profitability of any particular investment, or the potential value of any investment or informational source. The reader bears responsibility for his/her own investment research and decisions, should seek the advice of a qualified securities professional before making any investment, and investigate and fully understand any and all risks before investing. Millionaire Media LLC and Timothy Sykes in no way warrants the solvency, financial condition, or investment advisability of any of the securities mentioned in communications or websites. In addition, Millionaire Media LLC and Timothy Sykes accepts no liability whatsoever for any direct or consequential loss arising from any use of this information. This information is not intended to be used as the sole basis of any investment decision, nor should it be construed as advice designed to meet the investment needs of any particular investor. Past performance is not necessarily indicative of future returns.

Citations for Disclaimer

Barber, Brad M. and Odean, Terrance, Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors. Available at SSRN: “Day Trading for a Living?”

Barber, Brad M. and Lee, Yi-Tsung and Liu, Yu-Jane and Odean, Terrance and Zhang, Ke, Learning Fast or Slow? (May 28, 2019). Forthcoming: Review of Asset Pricing Studies, Available at SSRN: “https://ssrn.com/abstract=2535636”

Chague, Fernando and De-Losso, Rodrigo and Giovannetti, Bruno, Day Trading for a Living? (June 11, 2020). Available at SSRN: “https://ssrn.com/abstract=3423101”

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