China's Industry 5.0: A Super Cycle of $12 Trillion in Capital Expenditure Over Ten Years

China's manufacturing industry is undergoing a profound paradigm shift—from a "world factory" relying on scale and low costs to a "global industrial operating system" centered on AI, automation, and industrial ecosystems. This shift will give rise to a super cycle of industrial capital expenditures, amounting to $12 trillion and spanning up to ten years.

According to the trading platform, Morgan Stanley defines this as "Industry 5.0" in its latest BluePaper report. The core of this round of investment is not simply expanding traditional production capacity, but rather driving factories to evolve into adaptive, learnable, and sustainably iterative production systems. Funds will primarily flow into smart factory transformation, embodied intelligence, industrial software, advanced semiconductors, key materials, and the development of overseas industrial ecosystems.

According to Morgan Stanley's model, China's cumulative industrial investment from 2026 to 2035 may reach 340 trillion yuan, of which Industry 5.0 will bring an additional 80 trillion yuan in capital expenditure compared to the baseline scenario. From 2026 to 2027, the growth rate of industrial capital expenditure is expected to remain at 4% to 5%, and is expected to rise to 6% to 7% after 2028.

For the market, the capital expenditure cycle will reshape the value distribution in manufacturing. High-end equipment, industrial software, core materials, sensors, precision control, and service networks are expected to benefit most significantly. Morgan Stanley projects that by 2035, the profit margin of Chinese industrial enterprises is expected to rise from approximately 5% in 2025 to approximately 8%. China's potential GDP level will increase by approximately 3.5%, and China's share of global manufacturing value added will rise from approximately 28% to approximately 30%.

Industry 5.0: From Device Connectivity to Adaptive Manufacturing

Morgan Stanley equity analysts have suggested in their research that China is transitioning from the "world's factory" to a "global industrial operating system." The criteria for measuring manufacturing competitiveness will extend beyond output and cost to include industrial ecosystem, technological iteration capabilities, and global service capabilities.

Industry 4.0 primarily covers equipment connectivity, process digitization, and production visualization. Industry 5.0 further promotes the formation of a closed-loop capability in factories, encompassing perception, reasoning, execution, and learning.

Within this framework, AI will be more deeply integrated into design, process engineering, production scheduling, quality control, maintenance, logistics, procurement, and supplier response. Faced with order fluctuations, raw material changes, equipment failures, and product replacements, the production system can dynamically adjust under rule constraints and human supervision.

China's massive manufacturing scale provides the foundation for this upgrade. China accounts for approximately 28% of global manufacturing value added, covering 41 major industrial categories, 207 medium industrial categories, and 666 minor industrial categories. More than 30,000 smart factories and over 100 million connected industrial devices constitute important scenarios for industrial AI training, testing, and deployment.

Morgan Stanley summarizes Industry 5.0 into three main themes: intelligence, resilience, and leadership.

Intelligentization encompasses AI-native factories, industrial software, robots, and embodied intelligence entering the production system; resilience emphasizes the continuous operation and iteration capabilities of key software, equipment, materials, and control systems; and leadership refers to the globalization of production systems, service networks, standards, and industrial ecosystems.

These three elements form a mutually supportive cycle. Intelligentization leads to data accumulation and efficiency improvement, resilience enhances the operational capabilities of critical systems, and overseas deployment expands equipment installation, service revenue, and standard influence.

Five types of breakthroughs point to new investment

The new investments brought about by Industry 5.0 will be concentrated in five types of capability building, rather than being evenly distributed across all manufacturing sectors.

The first category is AI-native adaptive factories. Future production systems will be powered by AI to coordinate processes, predict defects, adjust production schedules, optimize energy consumption, and manage maintenance. The key upgrades will include system improvements to decision-making processes, data flow, and equipment collaboration.

The second category is embodied intelligence. While traditional robots have relatively fixed functions after installation, embodied AI devices can continuously improve their task capabilities through new models, swarm learning, and OTA updates. Humanoid robots, collaborative robots, AMRs and AGVs, industrial robots, autonomous vehicles, and vertical takeoff and landing aircraft are all included in this category.

Based on the relevant projections, sales of smart body-related products in the Chinese market are expected to rise from approximately 8 million units in 2025 to 29 million units in 2030, and reach 76 million units in 2035.

The third category is architectural autonomy. The focus is on the ability of complex industrial systems to operate, maintain, redesign, and continuously iterate even when facing external constraints. Investment areas primarily include advanced semiconductors and related equipment and materials, industrial software and control systems, high-end CNC equipment, sensors, metrology and testing, and certified advanced materials.

The fourth category is overseas ecosystem export. Competition in industries such as new energy vehicles, batteries, photovoltaic energy storage, power grid equipment, smart factories, port logistics automation, and construction machinery will increasingly reflect a combination of products, infrastructure, software, maintenance, financing, local services, and supply chain capabilities.

The fifth category is AI-driven transformation from "laboratory to factory." Advances in fundamental fields such as advanced materials, precision equipment, sensors, semiconductor processes, and biotechnology are expected to drive improvements in performance, yield, and cost curves across multiple downstream industries.

$12 trillion in new capital expenditure: Factory upgrades at the core

Morgan Stanley projects that approximately $12 trillion in new industrial capital expenditures between 2026 and 2035 will be distributed across three tiers: infrastructure, factory upgrades, and new production capacity.

The infrastructure layer involves an investment of approximately $0.5 trillion, primarily encompassing AI computing power, data centers, power systems, power grids, energy storage, cooling, and related network infrastructure. This component forms the foundation for industrial intelligence.

Factory upgrades, amounting to approximately $5.5 trillion, form the core of the entire capital expenditure cycle. Funds will flow to smart devices, robots, sensors, edge semiconductors, control systems, and industrial software. Systemic modifications to existing production lines will constitute a significant investment scenario in this phase.

The new production capacity is estimated at $6 trillion, covering semiconductors, advanced materials, energy, transportation, and other cutting-edge fields, as well as strategic expansions to increase global market share. This investment will impact the continuity of the capital expenditure cycle.

Investment is expected to stabilize initially and then increase. From 2026 to 2027, influenced by factors such as capacity digestion, constraints on redundant construction, and the availability of advanced chips, the growth rate of industrial capital expenditure may remain at 4% to 5%. With the advancement of semiconductor localization, the gradual easing of technological bottlenecks, and the expansion of AI from infrastructure construction to a wider range of factory applications, the growth rate is expected to rise to 6% to 7% after 2028.

In terms of financing, bank loans will remain the largest source of industrial capital expenditure, projected to account for approximately 47% by 2035. Enterprise equity will account for approximately 29.5%, government funds for approximately 8%, and primary and secondary capital markets combined for approximately 15%. Investment in heavy asset equipment and infrastructure will continue to be primarily supported by credit, while cutting-edge technology sectors will rely more heavily on government funding and equity capital.

Profit pool extends to software, equipment and materials

The key financial implication of Industry 5.0 lies in the redistribution of profit pools within the manufacturing sector.

Morgan Stanley's path assumptions suggest that profit margins for Chinese industrial companies are expected to rise from approximately 5% in 2025 to approximately 8% in 2035. The increasing proportion of high-tech manufacturing, improved capacity utilization and pricing discipline, service revenue from overseas expansion, and the development of emerging industries are all driving this profit margin improvement.

Value chain position will become a key variable affecting returns. Downstream assembly and large-scale production capacity typically face more direct price competition, while upstream materials, semiconductor equipment, precision motion control, industrial software, sensors, certified components, maintenance services, and ecosystem platforms have longer certification cycles, higher technical barriers, and stronger customer loyalty.

The impact of capital expenditure on profit margins depends on whether the investment can increase unit added value, improve yield, shorten R&D cycles, and establish standard barriers. Companies with technological accumulation, customer certification, and global service capabilities are expected to achieve higher-quality growth in this process.

In terms of equity returns, Morgan Stanley expects the industrial sector's ROE to improve by 2 to 3 percentage points by 2028. MSCI China's ROE has rebounded from a low of about 9% to 10% in mid-2023 to about 11% in May 2026, which is seen as an early sign of a gradual stabilization in the long-term trend.

"China + 1" promotes the upgrading of the manufacturing role

Supply chain diversification continues, but its impact is more concentrated in the final assembly stage. The migration of upstream components, machinery, production systems, process know-how, and supplier networks typically takes longer.

Data shows that China's share of imports from the United States has decreased from 21.6% in 2017 to about 8%, but its share of exports to markets outside the United States has increased from 12% to 16%. These markets account for about 90% of China's exports.

This means that while the number of overseas factories increases, equipment, components, intermediate goods, and production systems will remain deeply integrated with China's manufacturing capabilities. The role of "Made in China" will extend beyond directly exporting end products to providing overseas factories with industrial systems, technology, and service networks.

In the baseline scenario, China's share of global manufacturing value added will rise from approximately 28% to 30% by 2035. Large-scale production of complex capital goods, electromechanical equipment, new energy vehicles and batteries, robotics, automation, high-end equipment, and advanced materials will be key drivers of this trend.

The process of localization overseas still needs to adapt to the investment, technology, and trade environments of different markets. For enterprises, local service capabilities, supply chain collaboration capabilities, and standardization capabilities will become important components of overseas ecosystem expansion.

Demand and return determine the quality of upgrades

The advancement of Industry 5.0 will enhance the intelligence level of production systems and also place higher demands on the cycle between demand, profits, and reinvestment.

If investments in AI infrastructure, robotics, and smart factories accelerate while demand recovers slowly, the pace of improvement in prices and profit margins may be affected. Market focus will gradually shift from the scale of investment itself to the efficiency and quality of returns on capital expenditures.

Morgan Stanley's pessimistic scenario suggests that by 2035, Industry 5.0's cumulative contribution to GDP may be around 2%, with some of the impact potentially offset by factors such as AI replacing labor, and the share of global manufacturing value added may be limited to around 27%.

The optimistic scenario hinges on the synergistic advancement of breakthroughs in industrial AI and improvements in household demand. If reforms in areas such as pensions, healthcare, and the household registration system accelerate, household consumption will be better able to absorb increased industrial output, price competition is expected to ease, and corporate profits, wages, and reinvestment will form a more stable cycle. Under this scenario, by 2035, China's share of global manufacturing value added could reach approximately 33%.

The core indicator for Industry 5.0 will be whether productivity gains can extend beyond factories to corporate profits, household income, and sustained demand growth. For investors, the ten-year, $12 trillion capital expenditure cycle provides a broad range of industry clues, with technological barriers, capital returns, and global service capabilities becoming key factors in identifying beneficiaries.

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The above content is from Zhuifeng Trading Platform .

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