Tencent: durable advantage
in an AI world

Replication versus innovation

Over the past decade, China’s technology sector has undergone a profound transformation. Once regarded primarily as a low-cost imitator of Western innovation, it has evolved into a globally competitive and increasingly self-reliant ecosystem. Its real strength today lies in its ability to commercialise new technologies, deploy them at scale and embed them rapidly across the broader economy.

China is still often viewed as a copycat rather than a true innovator, but we think this view is too simplistic. While many technologies originate elsewhere, Chinese companies have consistently demonstrated an exceptional capacity to adopt, refine and scale them. From electric vehicles and advanced manufacturing to digital payments, robotics and AI-enabled services, the pattern is clear: rapid transition from novelty to mass adoption.

This matters since technological leadership is not just about invention – it is also about commercialisation. In many industries, the winners are not the first movers, but the businesses that can scale new technologies most effectively. On this measure, China has become a formidable force.

Where China is winning

Electric vehicles offer a clear illustration. China was not an early mover, but it has advanced rapidly and now leads in several key areas: battery technology through CATL, manufacturing scale through BYD, and self-driving capabilities through players such as Baidu.

Dense urban environments, vast datasets and a willingness to experiment with new mobility models have also made China a key testing ground for intelligent driving. The trajectory is clear: the country is shaping next-generation mobility, with companies such as XPeng even exploring flying vehicles.

A similar dynamic is evident in robotics and automation. China’s manufacturing base gives it a natural advantage: new technologies can be deployed across large industrial networks, generating learning effects and driving costs down quickly. The same logic is starting to apply in humanoid robotics and embodied AI.

Lagging in semiconductors

China still lags the West most clearly in leading-edge semiconductors. It doesn’t currently have access to the most advanced chip design tools or lithography equipment required to manufacture at the frontier, largely because of US export restrictions. Closing this gap is likely to take many years, but these constraints have strengthened the push towards domestic innovation and self-reliance.

Despite limited access to cutting-edge AI chips, China retains other advantages, including lower-cost electricity and a deep pool of engineering talent. This is supporting the build-out of data centre infrastructure that can remain competitive on an energy-adjusted basis, even without the most advanced semiconductor inputs.

Scale doesn’t guarantee returns

While China is home to many capable technology companies, it is also one of the most competitive corporate environments in the world. Barriers to entry are often low, and local governments have frequently sought to develop their own technology champions by offering subsidies and support, effectively reducing the cost of capital for new entrants – electric vehicles are a notable example.

The result is intense rivalry, aggressive reinvestment, pricing pressure and short product cycles. Consumers benefit enormously, producers less so. Companies can help build globally leading industries without capturing an attractive share of the value they create. Consider the Shanghai Composite Index: since 1992 it has delivered total returns of only around 6% per annum in US dollars (with dividends reinvested). This compares with China’s nominal gross domestic product growth of more than 12% per annum (in US dollars) over the same period.

Why Tencent is different

This brings us to Tencent. Unlike many businesses exposed to China’s technology adoption, Tencent is not dependent on winning a hardware race or maintaining manufacturing leadership. Its position is rooted in ecosystem advantages that have proved durable over time. Since listing in 2003, Tencent has delivered total returns of 35% per annum in US dollars – a sharp contrast to the broader Chinese market.

Tencent’s moat – or competitive strength – begins with WeChat, which remains deeply embedded in daily life in China. Messaging, payments, social communication, content discovery, services and mini-programmes are all housed within a single ecosystem. This creates powerful network effects, entrenched user behaviour and a level of engagement that is difficult to replicate.

More importantly, the ecosystem is deeply integrated, giving Tencent a meaningful distribution advantage. As new technologies emerge, the company already has a platform through which they can be introduced to users and businesses.

Is AI a threat to the moat?

The bear case is that if users begin to interact less through traditional apps and more through AI agents or automated workflows, incumbent platforms may lose some of their power. In that scenario, owning traffic, messaging or app distribution may become less valuable than owning the best models or the most useful AI layer.

But it is far from clear that AI will fully disintermediate platform businesses like Tencent. It may instead reinforce their advantages. Distribution, consumer trust and daily engagement remain critical. If AI is embedded into existing digital behaviour, businesses with the strongest user ecosystems are likely to retain an edge.

Tencent doesn’t need to dominate every layer of AI to defend its moat. It simply needs to integrate AI effectively into the environments where its users already spend time. It has the balance sheet, engineering depth, installed user base and valuable proprietary data to do so.

There is understandable market concern about Tencent’s increased investment in AI and the limited visibility on monetisation. However, in our view, the company has a track record of disciplined capital allocation, and its focus on user engagement should create opportunities over time. It also retains scope to deepen monetisation in core areas such as advertising and gaming, helping to offset the pressure from higher AI-related spending.