Inside China’s AI advantage: Lessons for Singapore and Asia companies

AS THE global race to harness the power of artificial intelligence (AI) intensifies, China is emerging as a front-runner – not only in terms of research output and patents, but more importantly, in commercial deployment and scalable enterprise applications. 

While much of the international discourse focuses on US breakthroughs in foundational models and chip development, the Chinese approach to integrating AI across business operations offers invaluable lessons for firms in Singapore and across Asia.

This article explores four critical questions: How do Chinese firms embed AI into operations? What role do corporate leaders play in driving transformation? Why is China’s AI deployment faster and more scalable – and can it be replicated? Finally, what strategic insights can Singapore firms and Asia-based multinational corporations (MNCs) take away?

Integrating AI across operations

The power of AI lies in its ability to re-engineer and optimise workflows, which is achieved by embedding the technology into core processes to drive continuous innovation. In China, companies are moving beyond experimentation to operationalise AI at scale. It is now integrated across the entire business value chain, from customer interaction to back-end operations. 

On the customer-facing side, companies deploy AI to enhance user experience through conversational bots, personalised recommendations, and intelligent search. For example, Alibaba’s virtual assistant Alime manages over 10 million customer queries daily across its e-commerce platforms, delivering speed, efficiency and personalisation at scale.

On the operations front, AI is transforming logistics, human resources, and research and development. SF Express, one of China’s largest courier services, uses AI to forecast parcel volumes and plan delivery routes by analysing weather patterns, geography and historical data. This not only improves delivery precision but also optimises workforce deployment. 

However, treating AI as a superficial add-on cannot unlock its transformative potential. To deliver sustained business value, business models and organisational practices must evolve in step with AI capabilities, ensuring strong alignment between technology and management for long-term growth.

For example, leveraging its “AI-Powered Data Cloud Integration” vision and Smart Vision platform, Digital China has introduced a range of AI agents – such as smart talent assistants, super employees, and smart sales assistants – integrated directly into core business processes, providing powerful support to teams across both business and functional departments.

The strategic role of CEOs and boards

Successful AI transformation is not just about technological capability; it also hinges on leadership. In Chinese firms, the CEO and board often play a decisive role in setting AI strategy and ambition. The reason is simple: True AI transformation demands a full-scale re-engineering of processes, systems and culture.

Digital China exemplifies this leadership-driven model. Its CEO and board are actively engaged in AI strategy formulation, target setting and incentive alignment. Their involvement is far from symbolic; they understand that AI transformation cannot be outsourced.

Grassroots buy-in is also crucial. Employees must see tangible benefits in their work, whether through increased efficiency, smarter decision-making or breakthrough innovations by leveraging AI. Only when people believe in the AI vision will adoption take hold.

From a process perspective, organisations must be prepared. This means investing in cloud structure to instantaneously collect high-quality proprietary data, fostering AI-relevant skills, and cultivating the right mindsets across the workforce.

Boards, in turn, must broaden their oversight to include emerging issues such as data governance, ethical use of algorithms and regulatory risk. Baidu, for instance, has established an AI ethics and safety committee under its board, to ensure responsible AI deployment and compliance with evolving standards.

Speed and scalability

China’s rapid and scalable AI adoption is the result of systemic advantages. These include a vast and digitally connected domestic market, deep engineering talent pools, and relatively flexible regulatory environments that permit AI experimentation at scale. However, one of the most significant drivers is China’s unparalleled access to data.

In the AI age, three pillars matter: computing power, algorithms and data. While the US still leads in hardware and model development, China’s advantage becomes apparent in the application phase. Here, the focus shifts from enlarging graphics processing unit capacity to turning granular, sensitive and irreplaceable data into actionable business assets.

AI’s true value lies in integrating data assets to redesign workflows, cut costs and launch new business models. Access to high-quality and context-rich data offers a decisive edge for building competitive and adaptive organisations. As Internet data gradually dries up, the core training materials for large-scale models will shift to industry-specific and enterprise-owned knowledge and data. 

China, with its integrated digital infrastructure, broad manufacturing sectors and willingness to innovate, has unique advantages here. By leveraging these industrial and data strengths, Chinese enterprises can integrate AI into business processes, making it a powerful driver of innovation and transformation.

Ultimately, AI’s value to enterprises lies in the efficient orchestration of data assets and the innovative re-engineering of processes.

Can this be replicated elsewhere? Partially. While the underlying logic – data-centric process innovation – is universal, the speed and scale of Chinese AI adoption are enabled by institutional and cultural factors. Other countries must adapt the principles to their local governance structures, regulatory frameworks and industry ecosystems. 

Strategic takeaways

China’s AI trajectory reveals that successful transformation demands leadership vision, talent pipelines, high-quality data, agile execution, and systemic integration of technology into business models and operations.

For Singapore firms and Asia-based MNCs, the key is to adapt its core principles in a locally relevant way.

• Empower leadership at every level: AI transformation is a strategic shift. Successful deployment requires alignment across multiple organisational parameters, such as processes, talent, data infrastructure, and organisational incentives. Top leaders and boards’ commitment is essential.
• Foster experimentation: Chinese enterprises often focus on speed rather than perfection. For example, ByteDance operates on a “launch fast and optimise continuously” model, with product and algorithm teams able to conduct dozens of iterations daily. This culture of rapid prototyping and real-time feedback integration accelerates the learning and adaptation process. Similarly, Digital China drives AI adoption through numerous point innovations embedded in business processes, enabling fast decision-making support and continuous cross-enterprise management optimisation. Singapore firms and MNCs can benefit by adopting similar agile approaches, particularly in fast-moving sectors such as retail, e-commerce and logistics. Regional firms, including Shopee, are already leveraging global and local AI capabilities. Shopee recently partnered with OpenAI’s “Operator” to streamline customer service, while its proprietary “Shop AI Assistant” helps onboard and support sellers on the platform.
• Build robust data capabilities: Compared to consumer-facing AI, enterprise AI in Asia remains at a relatively early stage. To scale adoption and unlock long-term value, companies must redesign their processes for AI-native operation. This involves moving beyond patchwork AI solutions to full-fledged cloud-and-AI architectures capable of end-to-end automation.

At its core, sustainable business growth depends on the interplay of business models, management approaches and technological paradigms. The collaborative symbiosis of AI agents and human employees will unlock boundless possibilities for enterprises.

This requires upgrading legacy IT systems to integrated data platforms; accelerating R&D into AI agents capable of supporting complex, dynamic workflows; abandoning rigid hierarchies to embrace human-machine collaboration; and enhancing the AI literacy of the entire organisation.

Ultimately, AI is more than making existing processes faster or cheaper; it’s about making them smarter and more innovative. Firms that can reimagine their operations through AI will not only survive technological disruption – they will drive it.

As the global economy pivots toward AI-driven value creation, those who can act decisively – anchoring AI in strategy, not just IT – will define the next generation of market leaders.

Guoli Chen is professor of strategy at Insead and Guo Wei is chairman of Digital China