Tencent Executive Dowson Tong Responds to Concerns Over Slow AI Progress

Dowson Tong, CEO of Tencent's Cloud and Smart Industries Group, addressed internal anxieties regarding Tencent's slow AI progress, admitting that compute shortages have hindered the iteration of their Hunyuan large language model. He emphasized that the AI race is a marathon rather than a sprint, where long-term endurance and real-world application scenarios are more critical than starting early. This internal message highlights the strategic challenges faced by Chinese tech giants, particularly compute resource constraints, while revealing Tencent's long-term strategy of prioritizing engineering execution and leveraging its massive ecosystem of application scenarios. Tong noted that while competitors have gained significant visibility in the business-to-business (ToB) market, Tencent's core advantages lie in its engineering capabilities and diverse application scenarios. Tencent's Chairman Pony Ma also previously supported this steady approach, stating that the company aims to avoid rushing into markets unprepared.