Asia is becoming one of the most important arenas for applied AI, with companies moving quickly to embed AI into products, workflows, and decision-making. In AI Insights, we share AGP’s latest thinking on AI adoption, industry use cases, digital transformation, technology trends, and the competitive implications of AI for companies operating in Asia. The focus is practical: what is changing, why it matters, and what leaders should do next.
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Insights
Choosing the Right AI Operating Model for China
Multinationals operating in China need a deliberate AI operating model that balances headquarters control with China’s need for speed, local ecosystem fit, and regulatory practicality. Rather than treating AI governance as a binary global-versus-local choice, companies should classify use cases by business need, data sensitivity, technology requirements, and scale potential, then assign the right decision rights, budget ownership, vendor rules, and governance pathway for each category.
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Innovating in China 2025: MNCs Find Opportunity Amid Slowdown
Despite geopolitical headwinds and declining FDI, global companies are quietly increasing their innovation investment in China and redefining what “China for China” means in practice. In this Insight piece we share the main findings from our our 2025 Innovating in China benchmarking study.
Insights
Navigating AI Governance in China: What You Need to Know
China has moved at remarkable speed to weave Artificial Intelligence (AI) into core industries, from financial services and healthcare to manufacturing and mobility. But while its ambition is to lead globally in AI, the government has been equally clear: growth cannot come at the expense of national security, social stability, or data sovereignty. The resulting governance model is both strict and enabling. It aims to accelerate adoption while ensuring some guardrails, a duality that foreign multinationals (MNCs) must carefully navigate if they want to innovate and compete in China.
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China’s SaaS AI Playbook: Lessons for Multinational Innovators
As the world races to harness artificial intelligence, China is reshaping the terms of engagement. Nowhere is this more evident than in the country’s fast-growing enterprise AI sector, where a new breed of SaaS innovators is doing what global players often struggle to achieve: delivering useful AI at scale, at speed, and at a cost that outpaces traditional models. For multinational executives overseeing global R&D, innovation strategy, or digital transformation, the question is what can be learned from China’s model, and how quickly those lessons can be applied beyond its borders.
Insights
China’s Manufacturing Startups: Rewriting Rules on Speed & Cost
As Western manufacturers navigate a convergence of pressures—from margin compression and demographic labor shifts to intensifying global competition—a new wave of Chinese AI-manufacturing startups is gaining ground with remarkable agility. These firms are not merely building robots or retrofitting factories; they are redefining how intelligent automation is conceived, built, and scaled.
Insights
Parallel Innovation: China’s Edge in Biopharma
Over the past decade, China has rapidly emerged as a powerhouse in pharmaceutical innovation. Behind this transformation lies a distinct operational strategy: parallel processing across the drug development lifecycle. Unlike the traditional linear model followed by most multinational companies, Chinese biopharma firms have institutionalized an approach that accelerates time-to-market by running clinical trials, regulatory submissions, manufacturing scale-up, and digital integration concurrently rather than sequentially. This Insight explores how Chinese pharmaceutical companies are running processes in parallel, what makes this system unique compared to global norms, and what multinational firms can learn from the China model.
Insights
Boosting Pharma Innovation Capacity in China
Multinational pharmaceutical companies are increasingly investing in China to build internal innovation capacity and / or forging external partnerships with Chinese pharma, driven by the country's robust biotech ecosystem, supportive government policies, and advancements in AI and data science.
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Digital Silk Road: AI Exports Reshaping Global Tech Power
In the rapidly evolving landscape of global technology and geopolitics, China’s Digital Silk Road (DSR) has emerged as a pivotal extension of its Belt and Road Initiative (BRI), launched in 2015.
This initiative, initially focused on physical infrastructure, has shifted toward digital connectivity, with artificial intelligence (AI) at its core. By 2025, the DSR’s role in exporting AI technologies has become a critical lens for understanding China’s ambition to challenge the technological dominance of the U.S. and the EU while fostering economic and political ties with developing nations.
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China's Green Shift: Implications for MNCs Innovation Strategies
In March 2025, the National Development and Reform Commission (NDRC) announced plans for substantial investments in new offshore wind farms and expansive clean energy hubs integrating both solar and wind technologies. China's rapid shift toward sustainability and green innovation is transforming its economy and redefining global business strategies. China's commitment to sustainability and green innovation provides an expansive landscape for MNCs to innovate, compete, and grow.
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China’s AI Leap: Talent, Innovation and Global Tech Impact
In early 2025, an unknown Chinese startup named DeepSeek launched DeepSeek-R1, an open-source large language model (LLM) that made global headlines. The model not only rivaled established LLMs such as GPT-4, Llama 3.1, and Claude in performance but achieved this at significantly lower costs and with reduced training data requirements. DeepSeek's achievement wasn't an isolated event. Rather, it reflected years of groundwork that has shaped China's AI ecosystem—carefully fostered through academic research, talent cultivation, innovation under constraints, and fierce internal competition. How is China orchestrating this transformation, and what does it mean for global businesses and investors?
Insights
Asia’s Chip Race: Reshaping the Global Semiconductor Ecosystem
The semiconductor industry is at an inflection point, with global dynamics shifting as nations race to secure technological sovereignty and leadership in AI-driven computing. This transformation is being driven by a mix of necessity, strategic investment, and geopolitical pressure. Countries such as China, South Korea, Malaysia, or Singapore are taking significant steps to build domestic semiconductor capabilities, not only to mitigate reliance on third-party technologies but also to position themselves as key players in the future of AI computing.
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