China’s $12 Trillion Manufacturing Upgrade
China is undergoing an Industrial 5.0 transformation using AI and automation to enhance manufacturing productivity, with an estimated $12 trillion in incremental industrial investment from 2026-2035. This shift will increase China's industrial profit margins, boost GDP potential by 3.5%, and expand its role from producing finished goods to supplying global manufacturing equipment and systems.
Summary
Sheng Zhong, Morgan Stanley's China Industrial Analyst, discusses how China's manufacturing sector is evolving from the traditional "made in China" model of scale and low costs toward a technology-driven approach focused on productivity and industrial sophistication. Industrial 5.0 represents the next phase beyond Industry 4.0's machine connectivity and digitalization, introducing AI to optimize production scheduling, quality management, and predictive maintenance. China's manufacturing advantage is rooted in its enormous scale—representing 28% of global manufacturing value added across all 666 UN-defined industrial subcategories—with over 30,000 smart factories and 100 million connected industrial devices already in place. The analyst projects dramatic growth in robotics deployment, with annual robot sales potentially increasing from 8 million in 2025 to 76 million by 2035. Embodied AI will enable robots to become more flexible, acquiring new capabilities through software updates rather than physical reconfiguration, effectively transforming physical labor into software-upgradable capital. The transformation will require substantial capital investment, estimated at $12 trillion from 2026-2035, with $5.5 trillion directed toward factory upgrades including robotics and software, and $6 trillion supporting new industrial capacity. Industrial capital expenditure growth is expected to accelerate from 4-5% annually in 2026-2027 to 6-7% from 2028 onward. The economic benefits could be significant: industrial profit margins could rise from today's 5% to 8% by 2035, China's potential GDP could increase by approximately 3.5%, and its global manufacturing value-added share could grow from 28% to 30%. Critically, while final assembly may shift geographically, the underlying supplier networks, machinery, and production expertise will remain difficult to replicate elsewhere. The analyst estimates only 40% of China-to-US exports could be readily substituted, indicating China's growing importance as a supplier of manufacturing equipment and industrial systems globally—marking a transition from "made in China" to "made by China."
About this episode
<p>Our China Industrials Analyst Sheng Zhong explains how AI, robotics and a major investment cycle could transform China’s manufacturing base and its role in global supply chains.</p><p>Read more <a href="https://www.morganstanley.com/insights?cid=mg-SM_CORP-insights-17607" rel="noopener noreferrer" target="_blank">insights</a> from Morgan Stanley.</p><p><br /></p><p>----- Transcript -----</p><p><br /></p><p><strong>Sheng Zhong: </strong>Welcome to Thoughts on the Market. I’m Sheng Zhong, Morgan Stanley’s China Industrials analyst. </p><p>Today – how AI and automation are transforming China’s factories, and what that could mean for global manufacturing. </p><p>It’s Tuesday, September 29th, at 3 PM in Hong Kong.</p><p>For decades, Made in China has been shorthand for scale, speed, and low-cost manufacturing. Now the story is shifting toward something more ambitious: using technology, productivity, and industrial know-how to shape not just what gets made, but how it gets made. </p><p>We call this transition Industry 5.0. Industry 4.0 was about connecting machines and digitizing production. Industry 5.0 goes a step further, using AI to improve how factories schedule production, manage quality, and maintain equipment. </p><p>China is starting from a position of enormous scale. It represents roughly 28 percent of global manufacturing value-added and covers all 666 industrial subcategories defined by the United Nations. There are already more than 30,000 basic-level smart factories and more than 100 million connected industrial devices. </p><p>That industrial base also gives China a strong platform for robotics. Traditional industrial robots generally perform fixed tasks. Embodied AI could make machines more flexible, allowing them to gain new capabilities through software and updated models. That could effectively turn some physical labor into software-upgradable capital. </p><p>And the numbers give you a sense of how quickly this could scale. China could go from selling about 8 million robots a year in 2025 to 29 million in 2030, and 76 million by 2035. That’s roughly a ninefold increase in annual sales in just a decade. </p><p>Scaling robotics and AI across such a large manufacturing base will require a lot of capital. We estimate Industry 5.0 could generate about $12 trillion USD of incremental industrial investment in China from 2026 through 2035. Around $5.5 trillion USD would go toward factory upgrades, including robotics, smart equipment, and software, while roughly $6 trillion USD would support new industrial capacity. </p><p>But that investment cycle is likely to build gradually. We expect industrial capex growth of about 4 to 5 percent annually in 2026 and 2027, before accelerating toward 6 to 7 percent from 2028 as excess capacity is absorbed, technology bottlenecks ease, and AI adoption broadens across factories. </p><p>If that investment translates into higher productivity, the economic impact could be meaningful. By 2035, China’s industrial profit margin could rise to 8 percent from roughly 5 today. Industry 5.0 could lift China’s potential GDP level by around 3.5 percent, helping cushion some of the drag from an aging population. And China’s share of global manufacturing value-added could increase from about 28 percent to 30 percent. </p><p>And those changes would not stop at China’s borders. Final assembly can shift to new locations, but the supplier networks, machinery and production know-how behind it are much harder to replicate. We estimate only around 40 percent of China-to-U.S. exports can be readily substituted. </p><p>That means China’s role may increasingly extend beyond exporting finished goods to supplying the equipment, components and industrial systems used to make them elsewhere. That is the move from Made in China toward Made by China. </p><p>Thanks for listening. If you enjoy the show, please leave us a review wherever you listen and share Thoughts on the Market with a friend or colleague today.</p>
Key Insights
- China's Industrial 5.0 transformation could increase annual robot sales from 8 million to 76 million units by 2035—a nine-fold increase—as embodied AI enables machines to gain new capabilities through software rather than physical reconfiguration.
- The speaker projects that $12 trillion in incremental industrial investment from 2026-2035 could raise China's industrial profit margins from 5% to 8% and boost potential GDP by 3.5%, while industrial CapEx growth is expected to accelerate from 4-5% annually to 6-7% as technology bottlenecks ease.
- Despite potential shifts in final assembly locations, only approximately 40% of China-to-US exports could be readily substituted elsewhere, suggesting China's future competitive advantage will increasingly derive from supplying manufacturing equipment, components, and industrial systems rather than finished goods.
Topics
Transcript
Welcome to Thoughts on the Market. I'm Sheng Zhong, Morgan Sainz China Industrial Analyst. Today, how AI and automation are transforming China's factory and what that could mean for global manufacturing. It's Tuesday, September 29th at 3pm in Hong Kong. For decades, made in China has been shorthand for scale, speed, and low-cost manufacturing. Now the story is shifting towards something more ambitious, using technology, productivity, and industrial know-how to shape not just what gets made, but how it gets made. We call this transition Industrial 5.0. Industrial 4.0 was about connecting machines and digitalizing production. Industrial 5.0 goes a step further using AI to improve how factories schedule production, manage quality, and maintain equipment. China is starting from a…
Full transcript available for MurmurCast members
Sign Up to AccessMore from Thoughts on the Market
The Tension Between Equities and Bonds
Andrew Sheets explains how equities have remained resilient despite a 100 basis point rise in Treasury yields by arguing that strong corporate earnings growth (up 30% for S&P 500) offsets the negative valuation impact of higher discount rates. The equity risk premium has remained stable because earnings gains have compensated for yield increases, and investor flows continue supporting both stocks and bonds rather than switching between them.
How AI and Tokenization Could Reshape Wealth Management
Morgan Stanley analysts discuss how tokenization and AI are reshaping wealth and asset management, projecting tokenized real-world assets will grow from $40 billion to $2.3 trillion by 2030, while AI can provide up to 15 points of operating margin improvement through enterprise workflow automation rather than point solutions.
4 Market Signals Ahead of the Midterms
Morgan Stanley's head of U.S. public policy research discusses four key takeaways about the 2026 midterm elections' market implications: executive-led policies will likely persist regardless of congressional control, midterms are poor predictors of presidential elections, AI regulation matters mainly through data center policy at state/local levels, and market impacts will be primarily sector-specific rather than macroeconomic.
The Stock Market’s Bad Breadth
Morgan Stanley's CIO Mike Wilson warns that while the S&P 500 is up this year, market breadth has deteriorated significantly with over half of the Russell 3000 down 20% from June highs. He argues the market has already priced in major risks and expects either breadth to improve or the index to correct 5-10%, ultimately positioning for a stronger finish to the year.
AI Meets the Physical Economy
Morgan Stanley analysts discuss how autonomous trucking and AI-driven power infrastructure are shifting from technology validation to commercial-scale execution. Autonomous trucks can deliver 20% lower cost-per-mile while facing industry misconceptions, and power equipment providers are booking orders through the 2030s as on-site power becomes critical infrastructure.