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Inside China AI Podcast

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by Gabrielle Chou

5 episodes
Updated Daily
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Podcast Overview

Inside China AI is a podcast by Gabrielle Chou about China’s fast-changing artificial intelligence landscape and what it means for international business. Each episode looks beyond the headlines to explain how Chinese AI companies, models, infrastructure, regulation, and enterprise adoption are shaping the global technology market. The podcast is designed for executives, investors, founders, policy watchers, and business leaders who need to understand China’s AI ecosystem not as a distant trend, but as a force already affecting strategy, competition, procurement, and growth. From model releases and open-source ecosystems to cloud deployment, pricing pressure, regulation, and real-world enterprise use cases, *Inside China AI* offers clear, practical analysis of the developments that matter. The goal is simple: to help international audiences understand what is happening inside China’s AI market, why it matters, and how it may affect the decisions they need to make next. <br/><br/><a href="https://insidechinaai.substack.com?utm_medium=podcast">insidechinaai.substack.com</a>

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Publishing Since

4/22/2026

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Recent Episodes

Episode thumbnail for Where AI Actually Paid Off in China

June 2, 2026

Where AI Actually Paid Off in China

<p><strong>Where is AI actually paying off?</strong></p><p>In this episode of Inside China AI, Gabrielle Chou, Associate Professor at NYU and based in Shanghai, speaks with AI analyst Lucy Tan about five industrial AI use cases drawn from confidential interviews with senior executives at large Chinese industrial groups.</p><p><strong>The episode looks beyond demos and pilots to ask where AI has produced measurable returns inside real operations</strong>: factories, supply chains, leasing platforms, logistics systems, and compliance infrastructure.</p><p>The key finding: the first ROI often came from the least glamorous work.</p><p>Predictive maintenance, inventory optimization, quality inspection, route optimization, asset utilization, and compliance systems produced some of the clearest returns. Frontier AI projects were often still in pilot, while operational AI was already showing up in the P&L.</p><p>We discuss:</p><p>* Why predictive maintenance delivered some of the fastest payback</p><p>* How AI ROI compounds when one company owns more of the value chain</p><p>* Why AI changed the business model in industrial leasing</p><p>* How compliance AI became a market-access tool</p><p>* Why China is not a monolith: some firms are early adopters, others are still cautious</p><p>* Why the real split is not geography, but adoption stage</p><p>* What CEOs should bring back to the boardroom when evaluating AI ROI</p><p>The episode’s central takeaway: the AI that pays first may not be the AI that gets the headline.</p><p><a target="_blank" href="https://insidechinaai.substack.com/">Inside China AI</a><a target="_blank" href="https://insidechinaai.substack.com/"> </a>is hosted by Gabrielle Chou.</p> <br/><br/>This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit <a href="https://insidechinaai.substack.com/subscribe?utm_medium=podcast&#38;utm_campaign=CTA_2">insidechinaai.substack.com/subscribe</a>

Episode thumbnail for Tencent Is Changing What the AI Model Race Is For

May 22, 2026

Tencent Is Changing What the AI Model Race Is For

<p><strong>Tencent Is Changing What the AI Model Race Is For</strong></p><p>Hy3 is not just another model launch. It is Tencent’s bet that models become infrastructure — while the real value moves to Yuanbao, WorkBuddy, CodeBuddy, Tencent Cloud, and Weixin.</p><p></p><p>Tencent released Hy3 preview on April 23. But the launch itself is not the real story.</p><p>In this episode of Inside China AI, Gabrielle Chou speaks with AI analyst Lucy Tan about why Tencent’s AI strategy may be less about winning the model race — and more about changing what the race is for.</p><p>Hy3 reached #1 globally on OpenRouter’s weekly leaderboard for the week of May 15, with 2.4 trillion tokens served. But Tencent’s deeper strategy may not be model-layer revenue. The more important question is where Hy3 will live: inside the surfaces Tencent already owns.</p><p>We discuss:</p><p>Why Hy3 should not be read as just another Chinese AI model launchWhy Tencent is treating the model as infrastructure, not the final productThe significance of “deep co-design” between Hunyuan and Tencent’s productsWhy Yuanbao switching from DeepSeek to Hunyuan mattersHow Tencent differs from DeepSeek, Moonshot’s Kimi, and <a target="_blank" href="http://Z.ai">Z.ai</a>Why the U.S. model-lab strategy does not fully apply to TencentHow open models can become a funnel for Tencent CloudWhy Weixin may become Tencent’s most important AI surface</p><p>The model gets the attention. But the surface holds the user.</p><p>Inside China AI is hosted by Gabrielle Chou.</p> <br/><br/>This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit <a href="https://insidechinaai.substack.com/subscribe?utm_medium=podcast&#38;utm_campaign=CTA_2">insidechinaai.substack.com/subscribe</a>

Episode thumbnail for China AI This Month: Regulation, Capital, Compute, Grey Markets, and Monetization

May 13, 2026

China AI This Month: Regulation, Capital, Compute, Grey Markets, and Monetization

<p>China AI This Month: Regulation, Capital, Compute, Grey Markets, and Monetization</p><p>Inside China AI — Monthly Podcast, May 2026</p><p>The China AI story this month isn't about model releases. The stronger signal is that <strong>China's AI market is becoming structured</strong> — regulated, funded, protected, priced, and integrated into infrastructure.</p><p>In this episode, I'm joined by Lucie [last name / role] to unpack the five forces that mattered most this month, and what they mean for executives, investors, consultants, and board members trying to read China's AI economy from the outside.</p><p>What we cover</p><p><strong>🏛️ Regulation — China is defining what an AI agent actually is</strong> Regulators are moving from governing models to governing agents. What the new definitions mean for product design, liability, and which companies can scale.</p><p><strong>💰 Capital — State-linked money is flowing to frontier labs</strong> The shift from private VC to state-adjacent capital at the frontier. Who's getting funded, who isn't, and what it signals about Beijing's read on which labs matter.</p><p><strong>⚙️ Compute — Scarcity is forcing architectural efficiency</strong> Cut off from the latest Nvidia chips, Chinese labs are competing on efficiency rather than scale. Why this is producing a genuinely different model design philosophy — and why Western analysts keep misreading it.</p><p><strong>🕳️ Grey markets — Blocked access is producing parallel infrastructure</strong> What happens when you ban an API but not the demand for it. The infrastructure layer that has emerged to route Chinese developers around export controls.</p><p><strong>💳 Monetization — Will Chinese users pay for compute-heavy AI?</strong> The consumer AI companies running the live experiment right now. Early signals on willingness to pay, and what it means for unit economics across the sector.</p><p>Why this matters</p><p>For executives, investors, consultants, and board members, the question is no longer "Which Chinese AI model is best?"</p><p>The better question is: <strong>Where is China's AI market becoming regulated, funded, protected, priced, or integrated into infrastructure?</strong></p><p>That's the map worth building. <a target="_blank" href="https://insidechinaai.substack.com/p/china-ai-what-changed-this-month">Newsletter this week with details that were discussed in the podcast</a></p> <br/><br/>This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit <a href="https://insidechinaai.substack.com/subscribe?utm_medium=podcast&#38;utm_campaign=CTA_2">insidechinaai.substack.com/subscribe</a>

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What is Inside China AI Podcast?

Inside China AI is a podcast by Gabrielle Chou about China’s fast-changing artificial intelligence landscape and what it means for international business.

Each episode looks beyond the headlines to explain how Chinese AI companies, models, infrastructure, regulation, and enterprise adoption are shaping the global technology market.

The podcast is designed for executives, investors, founders, policy watchers, and business leaders who need to understand China’s AI ecosystem not as a distant trend, but as a force already affecting strategy, competition, procurement, and growth.

From model releases and open-source ecosystems to cloud deployment, pricing pressure, regulation, and real-world enterprise use cases, Inside China AI offers clear, practical analysis of the developments that matter.

The goal is simple: to help international audiences understand what is happening inside China’s AI market, why it matters, and how it may affect the decisions they need to make next. <br/><br/><a href="https://insidechinaai.substack.com?utm_medium=podcast">insidechinaai.substack.com</a>

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

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