Alibaba AI Application New Progress: Wukong Begins Gradual Scaling and Deployment

AIMPACT News, May 14 (UTC+8), on May 13, Alibaba Group released its fiscal year 2026 Q4 and full-year financial reports. The report states that Alibaba’s full-stack AI technology investment has officially moved beyond the initial cultivation stage and entered a positive cycle of scaled commercial returns. In the fourth quarter of the fiscal year, Alibaba AI achieved accelerated breakthroughs in model, cloud infrastructure, and application layers. In the AI to B direction, Alibaba’s enterprise-level Agent platform “Wukong” has recently begun to scale up gradually. Wukong is Alibaba’s flagship native AI application. It not only answers questions but can directly help users complete tasks. After users state their goals, Wukong can autonomously plan steps, operate computers, call tools, and complete the full cycle from information gathering to final delivery. At the same time, it fully supports connecting to users’ DingTalk accounts within the enterprise, secure access permissions, and application systems. It is understood that many enterprises have begun using Wukong in industries such as e-commerce, retail stores, and manufacturing, exploring the value of enterprise-level Agents in content production, operational analysis, customer follow-up, order management, and AI application development. Wu Tianming, founder of Suzhou Guangxian Energy Construction Co., Ltd., turned Wukong into the company’s core productivity within 30 days. He imported nearly one million charging pile order data into Wukong, used natural language queries for analysis, replacing the half-day effort previously needed to set up BI dashboards. He also handed management meeting records and policy documents to Wukong, allowing AI to extract the corporate culture system from the source, no longer relying on manual paraphrasing. “I had never used SQL before, but Wukong helped me do it directly. At that moment, I truly understood that technology is equalizing.” Wei Jun, CEO of Yiwu Youkela Intelligent Technology, within two weeks of Wukong’s release, led the team to develop the first batch of Skills, and transferred the most capable sales managers to full-time Skill development. The company’s only HR used Wukong to reduce the payroll calculation process from two days per month to ten minutes; the operations team used Skills to automatically scrape competitor data daily and generate strategic suggestions; the product team analyzed 5,000 user comments in 10 minutes, increasing the new product launch success rate from 60% to 92%. DingTalk and Wukong founder Chen Hang stated, “Wukong is still being refined, and will soon be applied to more real enterprise work scenarios. We also welcome users to provide feedback during the experience, so we can work together to improve our enterprise AI assistant.” (Source: Ifnar)