How China’s AI Power Threatens Silicon Valley

Summary

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WSJ What’s News: How China’s AI Power Threatens Silicon Valley

Date: January 18, 2026
Host: Luke Vargas
Guests: Tatya Bolkvadza (Technology Analyst, Oxford Analytica), Josh Chin (Senior Global Correspondent, WSJ, Asia)

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Episode Overview

This episode explores the rapid ascent of China’s artificial intelligence sector—highlighting how Chinese AI models, such as Deepseek and Alibaba’s Qwen, are challenging Silicon Valley’s dominance, impacting global markets, and reshaping the geopolitical and economic landscape. Host Luke Vargas is joined by tech analyst Tatya Bolkvadza and WSJ’s Josh Chin to discuss the strategies behind China’s AI growth, its global adoption (especially in the Global South), the resulting pressures on U.S. tech firms, and ongoing competition over technology and chips.

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Key Discussion Points and Insights

1. China’s State-Driven AI Strategy

[01:39 – 02:22]

• China’s approach differs from the U.S.: Heavily state-driven with significant government support, particularly since Deepseek’s AI breakthrough in 2025.
  • Quote: “China’s AI strategy…is much more state driven.” — Josh Chin [01:39]
• Deepseek’s R1 Model: Nearly as powerful as leading U.S. models but far cheaper, giving confidence to Beijing that China could truly compete.
• Government Support: After Deepseek’s success, a “geyser of government support” was unleashed.

2. Alibaba’s Qwen and China’s Open Source Approach

[02:38 – 03:36]

• Qwen Model’s Success: While less famous in the West, Qwen gained massive global traction after Deepseek, driven by Alibaba’s increased innovation and investment.
  • 600 million global downloads; used by companies like Airbnb.
  • Became the most downloaded open-source AI model in December 2025.
• Strategic Implications: China’s approach—making models cheap and widely available—is “working for Beijing.”
  • Quote: “The success of…these Chinese open source AI models is really showing that the strategy of making models cheap and freely available is working for Beijing.” — Tatya Bolkvadza [03:36]

3. China’s AI Adoption in the Global South

[03:57 – 05:53]

• 5G Comparison: Echoes of Huawei’s global 5G dominance, enabled by affordability and open-source access.
  • Quote: “You are certainly starting to see Chinese AI models being adopted around the world because they’re so cheap…” — Josh Chin [03:57]
• Huawei’s Role: Deepseek is the default chatbot on Huawei phones, boosting AI’s reach in Iran, Ethiopia, Niger, etc.
• Geopolitical Strategy: Positioning open-source AI as a tool for democratizing technology; targeting the Global South with partnerships and international conferences.
  • Quote: “China is using this as a way to advance its image as the champion of the developing world…” — Tatya Bolkvadza [04:34]
• Xi Jinping’s Statement: At the 2024 G20 summit, Xi argued AI shouldn’t be “a game of rich countries.”

4. Impact on Silicon Valley and Global Competition

[06:44 – 09:55]

• U.S. Pricing Pressure: Free or low-cost Chinese AI models are undercutting U.S. tech firms’ pricing.
  • Quote: “Chinese AI models…so low cost, in many cases free, is really exacerbating the really deep fears about the AI bubble that’s been forming in the US tech industry…” — Tatya Bolkvadza [06:56]
• Forced Innovation: U.S. firms must scale up innovation, explore new AI paths (e.g., "world models" for practical applications).
• Divergent AI Philosophies:
  • Silicon Valley: Large language models (LLMs) as the path to superintelligence (e.g., Meta, Google).
  • China: Leverages industrial integration and data from manufacturing, giving a unique advantage in developing “world models.”
  • Quote: “One area where China really does feel like it has an advantage is because it builds so much stuff and already has robots in wired factories making things, collecting data.” — Josh Chin [07:54]

5. World Models and Practical AI

[09:00 – 09:55]

• Sovereign Applications: Growth of AI that can simulate real-world scenarios—valuable for governments and industries.
  • Example: Egyptian government modeling the Nile’s response to drought as a “sovereign AI” use case.
  • Quote: “Real life public applications are better…the concerns about potential hallucinations are less as well.” — Tatya Bolkvadza [09:00]
• China’s Lead in Autonomous Vehicles: Success in EVs and AVs reaffirms world-model advantage.

6. Structural and Strategic Challenges

[10:30 – 11:57]

• China’s Achilles Heel: Chips
  • U.S. controls IP and supply for cutting-edge AI chips; China “as much as a decade behind.”
  • Quote: “The biggest challenge for China is chips. This is an area where the US has an immense lead.” — Josh Chin [10:36]
  • Huawei is compensating by networking large quantities of less advanced chips (“swarms to beat the titan”).
• Possible Turning Points: If chip innovation plateaus or China devises new architectures, the U.S. advantage may wane.
• Financing Gap: U.S. firms have greater access to private sector funding, further fueling their AI progress.

7. The Policy Wild Card

[11:57 – 12:24]

• U.S. Policy Uncertainty: Recent years have seen shifts in export controls. The Biden administration tightened chip exports; the Trump administration eased some restrictions (allowing certain Nvidia chips with revenue-sharing caveats).
  • Quote: “Washington’s policy has been somewhat inconsistent…I think perhaps Washington thinks that this is a way to keep China addicted to U.S. hardware and U.S. software.” — Tatya Bolkvadza [12:24]

8. What to Watch in 2026

[13:10 – 14:03]

• Beijing’s Decisions: How much will China allow its firms to rely on U.S. chips? How much will it push domestic alternatives?
  • Quote: “One big question is to what extent Beijing will allow Chinese AI companies to buy these chips…They called [their approach] swarms to beat the titan.” — Josh Chin [13:16]
• Global Ramifications: The next phase of the U.S.-China AI rivalry will likely hinge on chips, funding, and industrial uses for AI.

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Notable Quotes & Time Stamps

• “China’s AI strategy…is much more state driven.” — Josh Chin [01:39]
• “The success of…these Chinese open source AI models is really showing that the strategy of making models cheap and freely available is working for Beijing.” — Tatya Bolkvadza [03:36]
• “China is using this as a way to advance its image as the champion of the developing world…” — Tatya Bolkvadza [04:34]
• “Chinese AI models…so low cost, in many cases free…is really exacerbating the…fears about the AI bubble…in the US tech industry…” — Tatya Bolkvadza [06:56]
• “You are certainly starting to see Chinese AI models being adopted around the world because they’re so cheap…” — Josh Chin [03:57]
• “The biggest challenge for China is chips. This is an area where the US has an immense lead.” — Josh Chin [10:36]
• “Washington’s policy has been somewhat inconsistent…I think perhaps Washington thinks that this is a way to keep China addicted to U.S. hardware and U.S. software.” — Tatya Bolkvadza [12:24]
• “One big question is to what extent Beijing will allow Chinese AI companies to buy these chips…They called [their approach] swarms to beat the titan.” — Josh Chin [13:16]

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Episode Structure & Timestamps

• [00:00–00:58] Introduction; Background on China’s recent AI advancements (Deepseek) and global industry impact
• [01:39–02:22] China’s state-driven AI vs US model; Deepseek’s significance
• [02:38–03:36] Qwen’s rise; China’s open source strategy; Global adoption
• [03:57–05:53] Huawei’s influence in the Global South; Open source as geopolitical strategy
• [06:44–09:00] Impact on Silicon Valley; Pressure on US firms; Different strategy focuses
• [09:00–09:55] World models; Real-world use cases and China's comparative advantage
• [10:30–11:57] China’s chip dependency; US lead and vulnerabilities
• [11:57–12:24] US export policy and its impact
• [13:10–14:03] Next developments to watch—China’s approach to chip imports and innovation

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Engaging Takeaways for Listeners

• China’s government-backed AI strategy is swiftly closing the technological gap with the US and is reshaping global market dynamics by prioritizing affordability and accessibility, especially for the developing world.
• Adoption of Chinese AI—through devices and partnerships—is rapidly spreading in the Global South, reminiscent of past Huawei successes in telecom.
• U.S. tech firms are under growing pricing and innovation pressures, forced to adapt by developing more practical and industry-aligned solutions.
• The global AI race hangs in the balance: China’s key vulnerability remains high-end chip access, while inconsistent Washington policy and rapid Chinese innovation continue to add volatility.
• The next phase will likely be decided by breakthroughs (or bottlenecks) around chip technology, funding sources, and strategic global partnerships.

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Conclusion

This episode delivers a clear-eyed overview of how China’s rapid progress and unique approach in AI are reshaping the global tech landscape and raising the stakes for Silicon Valley, global enterprises, and policymakers around the world.

Transcript

[Luke Vargas]

As AI transforms work, forward looking leaders are reimagining roles, empowering teams and shaping a more connected and adaptive workforce. Learn more on a new episode of techfluential, a podcast from Deloitte and custom content from WSJ. Hey, what's news listeners? It's Sunday, January 18th. I'm Luke Vargas for the Wall Street Journal and this is what's News Sunday, the show where we tackle the big questions about the biggest stories in the news by reaching out to our colleagues across the newsro to explain what's happening in our world on today's show. One year ago, Chinese made AI model Deepseek shocked the world. Earth shattering developments in the AI space.

[Gunjan Banerjee]

Deepseek said its chatbot was created with.

[Tatya Bolkvadza]

Less than $6 million.

[Gunjan Banerjee]

The app has become the most downloaded.

[Tatya Bolkvadza]

Free app in the US Technology shares.

[Luke Vargas]

On Wall street have fallen sharply.

[Tatya Bolkvadza]

It's mind blowing and it is shaking this entire industry.

[Luke Vargas]

Since then, China's AI prowess has only grown in ways that could change global tech norms, challenge Silicon Valley's pricing power, and become a bone of contention in the US China trade war. This week, China's AI strategy and what it means for the world. Let's get right to it. Joining me to unpack China's approach to AI and consider the economic and geopolitical impacts of its growing adoption, I'm joined by a pair of great guests. First off, Tatya Bulkvadza is a technology analyst at Oxford Analytica and Josh Chin is the Wall Street Journal's senior global correspondent in Asia. Josh, in a NutShell, what's China's AI strategy?

[Josh Chin]

China's AI strategy As opposed to the US AI strategy, China's is much more state driven. Things really picked up in early 2005. People remember the unveiling of Deepseek's big frontier model called R1, which was basically nearly as powerful as the top models from Google, OpenAI anthrop and produce much more cheaply. And this was such a surprise to some people in the US and really started to wake people up to the potential of Chinese AI, but also to leaders in Beijing. And it was at that moment that the Chinese Communist Party really started to feel some hope and some confidence that they could compete. And that unleashed a whole geyser of government support.

[Luke Vargas]

Tatya Deepseek is still very much around, but there's a different case study in the form of an AI model suite from Chinese company Alibaba that's called Quen, that you and your colleagues have been drawing attention to lately that showcases sort of another element of China's AI strategy. Tell us about that.

[Tatya Bolkvadza]

Right, so Quinn did not get as much media attention in the west as Deep Seq and some of the other kind of smaller Chinese AI models did. In the beginning, Quinn was launched in 2023 for the first time. But this sort of Deep Seq moment really forced Alibaba to step up innovation and increase funding in AI. So Quinn managed to get pretty significant global footing. Over the past year, it has been downloaded more 600 million times. It's been used pretty widely internationally, not just within China. Its customers now count companies like Airbnb. And also last December, Qin became the most downloaded open source AI model. So beyond just sort of showcasing Alibaba's success in this domain, the success of Kwen and Deep Seq and this group of other Chinese open source AI models is really showing that the strategy of making models cheap and freely available is working for Beijing.

[Luke Vargas]

You mention adoption in the West. The US venture capitalist Martin Cassada was quoted in the economist saying 80% of US entrepreneurs that he's coming across are using Chinese made AI models. Josh, are we getting kind of a Huawei 5G redo here where this very alluring technology gets the world to sign into bigger Chinese systems?

[Josh Chin]

Yeah, that's definitely a comparison people have made when 5G was being developed. The US actually really fought hard to keep Huawei, which is China's big telecom equipment manufacturer, from installing 5G equipment in the developed world. But that didn't actually keep Huawei from dominating globally. And actually we're now at a point where Huawei owns many of the essential patents for 5G and has built out networks throughout the developing world. That is a success story that Beijing is constantly looking to replicate. And you are certainly starting to see Chinese AI models being adopted around the world because they're so cheap, right?

[Tatya Bolkvadza]

Absolutely. I have to agree with Josh here. And I think it's important to note also that Huawei's previous success in the Global south is also paving a way for Chinese AI models as well. Because if you look at Huawei sort of phone adoption in the Global south, that's enabling the adoption of Chinese AI models like Deep Seq, because Deep Seq is the default AI chatbot on Huawei phones. So we've seen a very rapid adoption in countries like Iran, Ethiopia, Niger and others. But also the open source strategy that China is using this as a way to advance its image as the champion of the developing world, it's painting open source strategy as a way to democratize access to AI at the 2024 G20 summit, President Xi famously noted that AI should not become a game of rich countries. And since then, Beijing has really stepped up, convening international conferences which are catered specifically to the Global South. And you see a lot of the members here entering into partnerships with Chinese tech and AI firms adopting their AI models, which are again, open source. And these countries are later able to sort of develop their own national models off of Chinese products.

[Luke Vargas]

All right, Chinese AI there differentiating itself from other products out there in the market and Beijing promoting that. We've got to take a short break, but when we come back, how that's all going over with America's tech giants. Stick around.

[Gunjan Banerjee]

Hi, this is Gunjan Banerjee and this is Telus Demos.

[Josh Chin]

We're reporters at the Wall Street Journal.

[Gunjan Banerjee]

And The hosts of WSJ's take on the Week. Take on the Week is a weekly show that gives listeners a leg up in the world of markets and investing.

[Josh Chin]

From the Fed's moves to market bubbles, we dive into the biggest deals, key players, and business news ahead.

[Gunjan Banerjee]

If you're looking for more news and tools that can help you navigate the markets, consider becoming a subscriber to the Wall street journal.

[Josh Chin]

Visit subscribe.WSJ.com takeontheweek to subscribe now.

[Luke Vargas]

Tatia in addition to these Chinese AI companies potentially opening up new markets for themselves, it sounds like they may be chipping away at the pricing power big US tech firms have been commanding.

[Tatya Bolkvadza]

Right. I think the success of Chinese AI models, which are so low cost, in many cases free, is really exacerbating the really deep fears about the AI bubble that's been forming in the US tech industry for a while. So beyond sort of pricing concerns about how to make your products more competitive in the global market, I think a lot of these firms are forced to scale up innovation, pivot to other domains of AI. We've seen the rise of world models which have more sort of practical applications. I think one big advantage of Chinese AI models has been that they reflect Beijing's overall strategy of utilizing AI with their industrial and economic growth goals. And that's been hugely appealing to not just developing countries, but also many enterprises. And I think companies in the west are now trying to make their products also more practically applicable.

[Josh Chin]

This really is a big divergence you're seeing in the world of AI right now. The default view in Silicon Valley is that large language models are the path to superintelligence. That's what Meta is pursuing. It's what anthropic has been pursuing Google. But there are a bunch of skeptics, LLM skeptics, who think that you need to actually expand beyond large language models if you really want to achieve superintelligence, something like human intelligence, but more. Right. You need actually models that can simulate the real world, including the physical world. And this is one area where China really does feel like it has an advantage because it has these factories, because it builds so much stuff and already has robots in wired factories making things, collecting data. And so that's one area that a lot of people in China think has immense problems.

[Luke Vargas]

And if I understand this correctly, this is not just some philosophical debate about whose vision of the science fiction future is correct. The difference between the Chinese and US private sector focus here maybe boils down to who the customers of AI will be, who might be paying for AI services in the future. Is that right, Tatya?

[Tatya Bolkvadza]

Yeah, I think that's true. And this technology has a lot more avenues of growth for businesses. It promises to optimize decision making. It's going to have a lot more benefits within sort of public sector decision making as well. So real life public applications are better. The concerns about potential hallucinations are less as well. And I think world models also promise to address some of the concerns about data availability as well in the future. So this is, I think, one of the biggest trends to watch in 2026. And perhaps this will be the next stage of AI competition between the US and China.

[Luke Vargas]

I'm envisioning here, I don't know, the Egyptian government wanting to model the Nile river and how it would respond to, let's say, a bad harvest. Is that kind of what we're talking about here with world models? Something with a sovereign AI potential use case?

[Tatya Bolkvadza]

Yeah, absolutely. I think that could be one use case for governments when it comes to world models. It's also important to note that autonomous vehicles are powered by a type of world model. So China has a huge advantage in that domain already. I mean, China's EVs and autonomous vehicles have been vastly successful worldwide. So I think it is expected that given the fact that world models generally align well with China's industrial development model and larger vision of AI, there's going to be a pretty significant state support directed to this domain in the coming years.

[Luke Vargas]

Josh, lots of advantages here for this Chinese approach. What are the major challenges to it that you're hearing about?

[Josh Chin]

The biggest challenge for China is chips. This is an area where the US has an immense lead. It owns all of the intellectual property and it controls the supply chain for the sort of super high end, really cutting edge chips that are used to train AI models. I talked to a former US official who was behind efforts by the Biden administration to ban exports of US chips to China, who was saying it's a really difficult technology gap for China to close. They're probably as much as a decade behind. Just this last weekend you had a bunch of top Chinese figures in AI, including Justin Lin, who is Alibaba's lead for the Quinn project, who said that China won't be able to compete if it doesn't solve the chip gap.

[Luke Vargas]

Though that edge in chips, I don't know. Could it be a double edged sword? It's really dependent on chip performance, especially those highest end US chips continuing to just achieve bigger and bigger gains over their Chinese counterparts. But if that were to sort of plateau or top out, that's a risk for Silicon Valley.

[Josh Chin]

That's certainly true. We don't know for a fact that these chips are going to keep getting better and better. It's also a possibility that there's a new type of chip architecture out there that has yet to be invented that China may invent. Right. There's just a lot of huge unknowns in terms of where this technology is going to go for the foreseeable future. There definitely are some big challenges for China and not just with chips, but also with financing. US Companies have much, much more money available to them.

[Luke Vargas]

Yeah, Josh, just jumping in. A recent Morgan Stanley report that tried to assess who could win this AI race gave credit to China and maybe an edge overall, citing its state resources, its ability to scale. But for the US as you mentioned, there not just higher salaries that help boost the talent pool, but specifically private sector money that can come in off the sidelines. Tatya, we haven't spoken about it yet, but probably a big X factor in all of this is what Washington ends up doing right?

[Tatya Bolkvadza]

Washington's policy has been somewhat inconsistent, I would say, over the past few years. Under the Biden administration, we had the AI diffusion rule which the Trump administration rescinded. So we saw the Trump administration allowing the shipment of H200 chips to China made by Nvidia, with the caveat that Nvidia has to enter into a revenue sharing agreement. So perhaps this is a new model, new approach as to where Washington is going to go next. Sort of more targeted relaxation of export restrictions which give China some access to US technology. And perhaps Washington thinks that this is a way to keep China addicted to U.S. hardware and U.S. software.

[Luke Vargas]

Josh, I think Tatia there has given us a what to watch for in 2026. What will you be paying attention to in the coming months?

[Josh Chin]

One big question is to what extent Beijing will allow Chinese AI companies to buy these chips. They're trying to support Huawei. Huawei has its own chips. It's trying to. And Huawei has said that it can match the computing power of American data centers by just stringing together huge numbers of sort of lower powered, less efficient chips. It's a strategy they called swarms to beat the titan. The Chinese government is committed to that. So it'll be really interesting to see exactly how many Nvidia chips they let in. China has been a huge market for Nvidia. There is a lot of interest in China in H200 chips, particularly among private companies. Again, the question kind of just comes down to how much of that is Beijing going to allow to come to fruition and in what ways?

[Luke Vargas]

Josh Chin is the Wall Street Journal's senior global correspondent based in Seoul. Josh, thank you so much.

[Josh Chin]

Always a pleasure. Thanks, Boo.

[Luke Vargas]

And Tatia Bolkvadsam is a technology analyst at Oxford Analytica. Tatia, thank you.

[Tatya Bolkvadza]

Thank you for inviting me.

[Luke Vargas]

And that's it for what's new Sunday for January 18th. Today's show was produced by Daniel Bach with supervising producers Sandra Kielhoff and Melanie Roy. I'm Luke Vargas and we'll be back Tuesday morning with a brand new show. Until then, thanks for listening.

[Gunjan Banerjee]

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