Business Leaders Hail Nation’s Intelligent Manufacturing Push as China Positions AI as a Global Industrial Catalyst

 

China’s accelerated push toward intelligent manufacturing is reshaping global expectations of industrial growth, according to executives and economists gathered at the World Intelligence Expo 2026, which opened on Thursday in Tianjin and runs through the weekend. Across panel discussions, corporate roundtables, and policy briefings, a consistent message emerged: artificial intelligence is no longer an experimental layer added to industry, but a structural force redefining production systems, supply chains, and international competitiveness.

At the center of this conversation is a rapidly evolving industrial ecosystem in China that is increasingly defined by automation, data driven decision making, robotics integration, and AI enabled manufacturing platforms. Business leaders say this transformation is strengthening corporate confidence, not only among domestic firms but also among multinational companies that see China as both a market and a global innovation engine.

The sentiment was particularly visible at the “CEO: Grow with China” roundtable, held as part of the expo and jointly organized by the Publicity Department of the Tianjin Municipal Committee of the Communist Party of China and China Daily. The event brought together executives from green development, smart manufacturing, and consumer technology sectors to examine how AI driven production systems are reshaping industrial logic.

A Global Manufacturing Shift Anchored in China

Speakers repeatedly emphasized that China’s intelligent manufacturing push is not an isolated domestic policy experiment but part of a broader shift in global industrial organization. The integration of AI into production lines, logistics systems, and enterprise planning tools is expected to accelerate efficiency gains and reduce barriers to large scale innovation.

According to participants, China’s strategy is enabling companies to deploy new technologies at scale more quickly than in many other markets. This includes machine learning systems for predictive maintenance, AI powered quality control, and robotics driven assembly lines that reduce human error while increasing production speed.

The World Intelligence Expo 2026, formally titled World Intelligence Expo 2026, has become a focal point for examining how such technologies are transitioning from pilot programs to full industrial deployment.

China’s Policy Direction: Building a Smart Economy Ecosystem

Policy signals from Beijing have reinforced the direction of this transformation. The Government Work Report this year highlighted the expansion of the “AI Plus” initiative, which encourages large scale deployment of artificial intelligence across key industries and promotes the development of intelligent terminals and AI agents.

Rather than focusing on AI as a standalone sector, policymakers are positioning it as an enabling infrastructure layer for the broader economy.

Sun Xuegong, director general of the department of policy study and consultation at the Chinese Academy of Macroeconomic Research, said the goal is to build a comprehensive ecosystem that supports the smart economy rather than advancing a single technology in isolation.

He emphasized that AI is expanding the boundaries of production efficiency and reshaping what is economically possible in industrial systems. According to his assessment, the next phase of China’s economic development will increasingly rely on the integration of intelligent systems into traditional industries such as manufacturing, logistics, and energy.

Corporate Confidence Rises Among Global Executives

The optimism surrounding China’s industrial transformation was echoed by multinational executives who participated in the roundtable discussions.

Rainer Kern, chief financial officer of Karcher Greater China, described China as more than a large consumer market. He characterized it as a global engine for innovation and manufacturing.

Kern highlighted three structural advantages that make China particularly suitable for AI driven industrial scaling: a complete industrial supply chain, rapid adoption of emerging technologies, and a vast domestic market capable of absorbing innovation at scale.

These factors, he argued, allow companies to move from prototype to mass deployment significantly faster than in many other regions, creating a competitive environment that accelerates technological maturity.

European Business Sentiment Shows Signs of Recovery

European business leaders also expressed cautious optimism about China’s industrial direction.

Dr. Christoph Schrempp, vice chair of the European Union Chamber of Commerce in China Tianjin chapter, said China’s shift toward intelligent manufacturing is expected to reshape the business environment over the next five to ten years.

He noted that automation is advancing rapidly and that the speed of transformation is particularly striking. According to Schrempp, emerging technologies are opening new opportunities for collaboration between European and Chinese firms, especially in industrial equipment, energy systems, and advanced robotics.

His remarks align with findings from a recent business sentiment survey conducted by the EU Chamber in collaboration with consultancy Roland Berger. The survey indicated an uptick in confidence among European companies operating in China.

Notably, the report found that China continues to be viewed as a global leader in efficient and cost effective supply chains, with a significant majority of respondents reporting that their China based operations outperform those in other regions in terms of efficiency.

Schrempp summarized this perspective by emphasizing the value of operating in China’s fast evolving industrial environment. Exposure to such conditions, he suggested, helps companies build resilience and adaptability that can be applied globally.

China as a Testbed for Industrial Innovation

From the perspective of industrial operators, China’s role is increasingly seen as dual: both a production base and an innovation laboratory.

John Markmann, president of Grundfos China, described the country as a critical testing ground for new industrial technologies that may later scale globally. He also serves as vice chair of the Danish Chamber of Commerce in China, North Board.

Markmann said that his company is leveraging China’s AI talent pool and advanced manufacturing ecosystem to optimize production processes. He emphasized that the integration of smart technologies has improved operational efficiency while enabling more adaptive manufacturing systems.

In his view, China offers a unique combination of technical talent, infrastructure readiness, and supply chain integration that makes it an ideal environment for industrial experimentation.

Domestic Companies Accelerate AI Driven Production

Chinese companies are also rapidly embedding AI into their production systems, contributing to a broader industrial transformation.

Jamie Erin Wood, head of investor relations at Dreame Technology, said that China’s established industrial strengths are being amplified by artificial intelligence, robotics, and deeply integrated supply chains.

She noted that AI is not only improving production efficiency but also enabling product innovation cycles that are significantly faster than traditional manufacturing models. Robotics driven production systems, combined with intelligent supply chain management, are allowing companies to respond more quickly to consumer demand shifts.

This integration of AI and manufacturing is creating a feedback loop in which production data continuously informs design improvements, accelerating innovation cycles across product categories.

Capital Markets and AI Adoption at Scale

From an investment perspective, China’s AI adoption is also reaching significant scale.

Zhao Liang, partner at Unique Capital, said that large scale AI deployment in China is gaining momentum. He cited data suggesting that China accounts for a substantial share of global AI usage activity measured through daily token consumption metrics.

This reflects not only increased usage of AI models but also the rapid integration of generative AI tools into industrial, financial, and consumer applications.

Analysts at the expo suggested that such metrics indicate a structural shift rather than a temporary surge in adoption, pointing to sustained demand for AI enabled systems across multiple sectors.

Tianjin Emerges as a Strategic Industrial Hub

While national policy and corporate strategies are driving the transformation, regional industrial ecosystems are also playing a crucial role.

Tianjin, the host city of the expo, has positioned itself as a key node in China’s intelligent manufacturing landscape. Supported by a strong industrial base and a growing AI ecosystem, the city is increasingly attracting investment in advanced manufacturing and technology development.

According to remarks shared during the roundtable, Tianjin’s AI related industries generated more than 300 billion yuan in operating revenue, underscoring its growing importance in the national industrial framework.

Schrempp noted that for a traditionally industrial city, this level of AI driven output is particularly significant. He suggested that Tianjin has the potential to evolve into a major hub for intelligent industries, especially as China continues to integrate AI across manufacturing sectors.

The Broader Economic Implications

Across discussions at the expo, a broader theme emerged: intelligent manufacturing is becoming a core driver of global economic restructuring.

Economists emphasized that AI is not merely improving efficiency but fundamentally expanding the production frontier. By enabling predictive systems, autonomous operations, and real time optimization, AI is changing how value is created in industrial economies.

This shift is expected to have global implications. As production systems become more intelligent and interconnected, supply chains may become more adaptive but also more competitive. Countries and companies that fail to integrate AI effectively risk falling behind in productivity and innovation capacity.

At the same time, the growing integration of global supply chains in China suggests that collaboration will remain a defining feature of the industrial landscape.

Conclusion: A Defining Moment for Intelligent Industry

The discussions at the World Intelligence Expo 2026 reflect a pivotal moment in global manufacturing. China’s accelerated adoption of intelligent manufacturing technologies is not only transforming its domestic industrial base but also influencing global expectations for production efficiency, innovation speed, and supply chain design.

From multinational corporations to domestic technology firms, the consensus among participants is that artificial intelligence is now a foundational component of industrial strategy rather than an optional enhancement.

As Tianjin hosts global leaders, policymakers, and innovators, the message from the expo is clear: intelligent manufacturing is no longer a future concept. It is an unfolding reality that is reshaping how the world produces, competes, and grows.