Tencent's Tang Daosheng Responds to 'Tencent is Slow': Admits Business Lines Have Varied Speeds, Accepts External Feedback and Suggestions
Admitting to being "slow"—and then what? Tencent Senior Vice President Dowson Tang's response reads like a polished yet unsurprising standard answer. At the AI Industry Summit, when faced with the direct punch of "Tencent is slow," he sidestepped gracefully, acknowledging that within a complex organization, different business lines move at different paces, some exploring while others failing, and he expressed openness to "outside reminders." The rhetoric was watertight, yet after hearing it, one
Analysis
Admitting to being "slow"—and then what? Tencent Senior Vice President Dowson Tang's response reads like a polished yet unsurprising standard answer. At the AI Industry Summit, when faced with the direct punch of "Tencent is slow," he sidestepped gracefully, acknowledging that within a complex organization, different business lines move at different paces, some exploring while others failing, and he expressed openness to "outside reminders." The rhetoric was watertight, yet after hearing it, one feels the problem has been acknowledged, but the answer lacks the real "knife" needed to solve it.
"Slow" is not a vague adjective but a glaring relative coordinate. As ByteDance’s Doubao large model surges forward, as Kimi carves out a niche in users’ minds with its long-text capabilities, and even as Baidu continues to generate buzz in applications like text-to-image generation, Tencent’s Hunyuan large model and its applications often give off a sense of detached complacency—sitting "steady on the fishing platform." This slowness may not stem from slow technological iteration, but from sluggish product intuition, user reach, and market offensive rhythm. Tang Dowson cited the "lobster craze" as an example of quick reaction, but this only exposes the core issue: Tencent seems better at following and harvesting proven trends (like short videos and game livestreams in the past) than defining the next generation of product forms. In this round of AI, Tencent is not firmly seated in the position of a definer.
Acknowledging that business lines have "fast and slow" parts sounds pragmatic, even tolerant. But when a giant is "slow," it often signals deeper trouble. Once a company reaches a certain scale, internal complexity, departmental silos, and KPI-driven decision-making processes can swallow any cutting-edge inspiration. Engineering culture yields to project management culture, and innovation shifts from "running red lights" to "waiting for green ones." This slowness is systemic—no amount of throwing more teams or publishing more papers will solve it. Tang said, "The model will keep iterating, and user needs will change"—which is true, but it sounds like "we’re still at the table" rather than "we’re ready to win the next hand." A top player doesn’t settle for just staying in the game.
More intriguing is the stance of "accepting outside reminders and suggestions." This is a politically correct, low-risk PR response. It softens sharp external criticism into "suggestions" for internal "reference," transforming deep questions about strategy and product philosophy into "information inputs" that can be absorbed by management processes. What large corporations excel at is "softening the blow"—turning an opponent’s heavy punch into an internal "opinion collection" exercise. True reflection should be evident in the next stunning product, the next decisive resource allocation, or the next "special zone" that dares to break existing business logic—not in verbal "acceptance" at a press conference.
Ultimately, Tencent’s slowness may be a luxury of inertia. Its two cash cows, WeChat and gaming, provide unparalleled fault tolerance and time windows, allowing it to choose safer, more certain paths rather than going "all in" like a startup. But the cruel side of AI is that it is reshaping all traffic and interaction gateways. Missing out on this round of definition could cost ten times more to catch up in the future. If the application layer is carved up, even the strongest cloud models and computing power might be reduced to "infrastructure," serving as a foundation for others to build upon.
In the end, Tang Dowson’s response may soothe shareholders and address public opinion, but it likely won’t spark much enthusiasm among developers or industry observers. We need to see Tencent’s "speed"—not the speed of chasing trends, but the boldness to cut inward, dismantle constraints, and empower a truly independent AI pioneering team with life-or-death authority to move "fast." Otherwise, today’s "accepting suggestions," like the past "embracing change," will become another footnote of a giant elegantly stumbling in a new era. Slowness isn’t a sin in itself, but when a company could be fast yet remains slow due to a "systemic constitution," and then tries to rationalize that state—that’s the root of the problem.
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