Interview with Tencent Vice President Li Qiang: All Tencent Products Integrate Large Models, Better Synergy Between B-end and C-end

Interview with Tencent Vice President Li Qiang: All Tencent Products Integrate Large Models, Better Synergy Between B-end and C-end

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Author | Huang Yu

Editor | Wang Xiaojuan

This year, “cloud” is undoubtedly Tencent’s business in the spotlight, not only because the explosion of AI applications has driven strong growth in cloud vendors’ performance, but also because Tencent Cloud has become the base camp for both Tencent’s B-end and C-end major AI products.

Regarding Tencent’s decision earlier this year to transfer many AI products and applications such as Yuanbao, QQ Browser, and ima to Tencent Cloud, at a recent media exchange during the 2025 Tencent Global Digital Ecosystem Summit, Tencent Group Vice President and President of Government and Enterprise Business Li Qiang stated that the main consideration was to better connect and support both the C-end and B-end.

He believes that the biggest benefit of the popularization of C-end AI applications is that it can influence user mindset first, because every C-end user is also in a specific position in a company; thus, more people understanding Tencent’s C-end AI capabilities will also affect B-end decisions.

And the reason such synergy can be achieved is that all of Tencent’s product lines are integrating AI large model capabilities, whether it’s C-end or B-end.

Li Qiang pointed out that we can imagine that in the future, connections and consultations between WeCom (enterprise WeChat) and C-end customers will likely be replaced by Agents or digital humans. When consumers are served as individuals, they use Agents in enterprise WeChat, and as enterprises, they also want to use such products to serve their customers, so the C2B linkage is seamless.

Reportedly, Tencent has now fully integrated AI capabilities into over 900 products including WeChat, QQ, Tencent Meeting, etc., and has deeply embedded AI into games, advertising, and the social ecosystem, which has driven significant growth in its three core businesses: value-added services, marketing services, fintech, and enterprise services.

Tencent Cloud’s technical products are actively integrating large model technologies, comprehensively advancing the “AI for Cloud” productization. At the same time, based on the “Tencent Hunyuan + advanced open-source models” multi-modal application solution, Tencent Cloud has already been implemented in over 30 industries including government affairs, finance, education, consumer electronics, healthcare, retail, culture and tourism, transportation, and media.

Li Qiang stated that on one hand, Tencent Cloud is actively making large investments in AI Infra, not only in deploying computing power, but also including self-developed technologies like Xingxinghai servers and high-performance networks, ensuring users lower costs and higher efficiency in use. At the same time, it is also actively leveraging AI to greatly improve the efficiency of all product applications, whether SaaS or PaaS.

Tencent, continually arming itself with AI, is ushering in a great period of explosive AI application growth.

According to data from the National Data Bureau, at the beginning of 2024, China’s average daily Token consumption was 100 billion. By the end of June this year, the average daily Token consumption had surpassed 30 trillion, an increase of more than 300 times in one and a half years.

In addition, IDC’s study of over 4,000 global business leaders and AI decision-makers shows that 92% of enterprises are actively using artificial intelligence technologies to improve productivity, customer engagement, revenue growth, cost management, and product innovation, among other key areas.

Against this backdrop, AI has also driven Tencent Cloud’s revenue growth in the second quarter this year to accelerate compared to recent quarters, mainly due to increased demand from enterprise customers for AI-related services, including GPU rental and API token usage, as well as growth in merchants’ technical service fees.

Li Qiang stated that AI has indeed boosted the performance of almost all cloud computing companies worldwide, becoming one of the most important growth engines.

At the scene of the 2025 Tencent Global Digital Ecosystem Summit, Li Qiang pointed out that from a global perspective, we can clearly feel that we are standing at the turning point where AI technology is reconstructing industries. AI is changing the enterprise growth paradigm and optimizing organizational operating mechanisms; an AI-driven efficiency revolution is accelerating.

At the same time, he also pointed out that in the face of global competition, enterprises need not only to grow, but to grow efficiently, and AI is the biggest variable and core engine for achieving the efficiency revolution. “AI is transitioning from an auxiliary tool to infrastructure like water and electricity. With the implementation of the national artificial intelligence+ policy, AI is reshaping enterprise scenarios across the board, accelerating industrial upgrades and moving toward the moment of efficiency.”

However, even so, Tencent Cloud is not aggressive in competing in the AI cloud market.

Li Qiang told Wallstreetcn that Tencent Cloud does not participate in the cut-throat low pricing of GPU computing power, because this does not bring real value to customers in the long run.

In Li Qiang’s view, many cloud vendors may focus more on short-term revenue, but Tencent Cloud feels that making short-term money may mean losing the advantage in the long run, because the large model race is a marathon.

Although AI applications are booming, they are only just crossing the threshold of industrial implementation.

Li Qiang pointed out that the dividend from large models may last for a while, because the penetration is not yet so high. In terms of application scenarios, B2C-type enterprises may move faster, such as retail, education, healthcare, professional services; B2B-type enterprises may be a bit slower, because their core key business scenarios have a lower tolerance for hallucinations, such as traditional electricity, energy, manufacturing, etc.

In this long marathon competition, Tencent Cloud has already secured its spot. The rest will be a test of endurance and continuous innovation.

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