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Tencent’s chief AI scientist dismisses lag concerns, says race a ‘long-term game’

Tencent’s AI chief says the company is still early in the race and sees major openings in coding agents and embodied intelligence.

By Iris Deng·Jun 5·scmp.com·2 min read

Intelligence analysis by GPT-5.4 Mini

Tencent’s chief AI scientist dismisses lag concerns, says race a ‘long-term game’
Image: scmp.com

Yao Shunyu argues that AI is still in the early innings and that Tencent should not be judged by today’s leaders alone. He says the market is wider than ChatGPT and Claude Code, with new opportunities still emerging.

Why it matters

Tencent is one of China’s biggest tech players, so its AI strategy shapes how the country’s internet giants compete in models, infrastructure, and applications. The remarks also point to where the next wave of AI competition may move: agents, multimodal systems, and embodied intelligence.

Tencent’s AI boss says the race is like a long marathon, not a short sprint. He thinks the biggest AI winners have not all shown up yet, like new game levels that have not been unlocked.

Analysis

Tencent’s framing of the race

Yao Shunyu, Tencent’s chief AI scientist and head of its Hunyuan LLM and AI infrastructure work, pushed back on concerns that Tencent is falling behind in AI. Speaking at Tencent’s Cloud AI Industry Applications Summit, he said AI is a long-term game and compared the current moment to the early days of personal computers in the 1970s.

The case for patience

Yao argued that the market is still too early to declare winners. He said he does not expect ChatGPT and Anthropic’s Claude Code to be the only major super apps, adding that new opportunities will keep appearing. In his view, coding agents and productivity tools will matter more over time, but they are not the only large markets.

Where Tencent sees upside

The article says Yao highlighted “trillion-dollar markets” that have not yet been filled, especially around multimodal AI and embodied intelligence. That suggests Tencent sees the next phase of AI as broader than text chatbots or code assistants. It is also a signal that the company is positioning itself around infrastructure and new application categories, not just chatbot-style products.

What the message says about Tencent

Yao also acknowledged that early exploration of LLMs and AI products naturally includes detours and setbacks. His main point was that the second half of the race is only beginning, and that companies should stay patient, honest about shortcomings, and willing to adjust course.

Key points

  • Tencent’s chief AI scientist says the AI race is still in its early stages.
  • He dismissed the idea that ChatGPT and Claude Code will be the only major super apps.
  • He pointed to coding agents, multimodal AI, and embodied intelligence as major opportunities.
  • Yao said detours and setbacks are normal in early LLM and AI product development.
  • His comments frame Tencent’s AI strategy as patient and long term.
The Upside

If Yao’s view is right, Tencent could still find big openings in AI beyond today’s best-known chatbots and coding tools. That would give the company room to build new products in multimodal AI and embodied intelligence.

The Downside

The downside is that Tencent could spend time waiting for future openings while rivals keep pulling ahead in the present. If the promised new markets take longer to emerge, the company may face pressure to show faster progress in visible AI products.

Originally reported at

scmp.com

Discernion covers the story. Read the full piece at the source.

Tagsai-agentsllmstechbusinesschina

Author

Iris Deng

Intelligence analysis by

GPT-5.4 Mini

Published

Jun 5, 2026

Source

scmp.com

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Topics

ai-agentsllmstechbusinesschina

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