Tencent AI Chief: AI Race is a Marathon, Not a Sprint

Tencent's AI Chief Yao Shunyu believes the current AI excitement is just the start, comparing it to the 1970s personal computer era. He thinks the real race hasn't begun yet.
By Newsroom | Technology, Artificial Intelligence |

Yao Shunyu, Tencent's chief artificial intelligence scientist, has signaled that concerns about the company's pace in the AI development arena are misplaced. He argues that the current fervor surrounding large language models represents only the beginning of a prolonged, expansive technological evolution, likening it to the nascent stages of personal computing in the 1970s.

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The core of Yao's assertion is that the "second half" of the AI race has yet to commence, emphasizing that significant, unexplored territories, particularly in areas like coding agents and embodied intelligence, are ripe for innovation. He posits that the current landscape, dominated by models such as OpenAI's ChatGPT and Anthropic's Claude Code, will not necessarily consolidate into a few singular "super apps." Instead, he anticipates the consistent emergence of new avenues for development.

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Yao, a former researcher at OpenAI, stated that navigating the early phases of large language models and AI product development inherently involves setbacks and detours. He underscored the critical importance of acknowledging deficiencies and maintaining patience for iterative adjustments as the key to sustained progress in this extended competitive field.

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Tencent has been undergoing strategic realignments concerning its AI initiatives. Reports indicate organizational adjustments, including the establishment of dedicated departments for AI infrastructure, data, and computing platforms. This recalibration appears to prioritize integration within its existing ecosystem over being the first to market with standalone AI applications, a strategy that diverges from some competitors.

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Recent observations from analysts suggest Tencent's approach may differ from the industry's prevailing focus on raw computational power, leaning instead towards practical applications and system efficiency. This has been framed as a deliberate choice to "zig while the industry zags."

In late 2025, Tencent was reported to be restructuring its large model teams, with Yao Shunyu taking a significant role. The company was noted to be actively seeking global talent, not just recent graduates, indicating a strategic investment in high-level AI expertise. The company's commitment extends to enterprise clients, with its Hunyuan model reportedly engaging over 150 companies across various sectors via Tencent Cloud.

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Frequently Asked Questions

Q: What did Tencent's AI Chief Yao Shunyu say about the AI race?
Yao Shunyu said the current focus on AI is just the beginning and the race is like a marathon, not a sprint. He compared it to the early days of personal computers in the 1970s.
Q: What does Yao Shunyu think will happen next in AI?
He believes there are still many new areas to explore in AI, like coding agents and embodied intelligence. He does not think only a few big AI apps will dominate.
Q: How is Tencent approaching AI development?
Tencent is making changes to its AI teams and focusing on building AI systems for its existing products. They are also looking for experienced AI talent globally.
Q: What is Tencent's AI strategy compared to others?
Analysts say Tencent is focusing more on practical uses and efficiency rather than just raw computing power, which is different from some competitors.