Alibaba isn't just releasing a new tool—it's redefining how work gets done.

With Wukong, Alibaba isn't just creating another AI assistant; it's trying to turn AI into the entry point for enterprise work. In the past, people opened systems, clicked through interfaces, filled out forms, and pulled data manually; if this logic holds, the future could change so that you simply state your requirement in one sentence, and AI calls upon CRM, finance, approval systems, and retrieves the result for you.
The step where Alibaba transforms its ToB capabilities into skills is actually quite critical—essentially modulizing previously scattered enterprise software capabilities and making them callable by AI. This way, enterprise software is no longer a collection of independent interfaces, but more like an orchestrable capability pool. People shift from operating systems to being requirement providers.
What's more important is distribution. Alibaba isn't building users from scratch; it's plugging directly into an existing line. For a platform that already covers twenty million enterprise organizations, this is essentially a natural deployment scenario for AI—arguably more important than the product itself.
Compared with current mainstream AI office tools, Microsoft Copilot is still enhancing experiences within existing tools, Notion AI leans toward content generation, while Wukong is more like building a scheduling layer—the goal isn't to help you write, but to help you get things done.
But this path isn't easy either. Once enterprise permissions and data are unlocked, security becomes extremely sensitive; if the skills ecosystem doesn't take off, it becomes just a collection of Alibaba's own tools; additionally, the user habit migration from clicking buttons to directly stating requirements won't happen overnight.
Overall, this looks more like a directional move: whoever first gets AI running as the work entry point will have the opportunity to dominate the next generation of enterprise software.
#阿里巴巴 # Wukong #AI