AI Business Achieves Triple-Digit Growth, Ant Digital Technologies Completes AI-Era Transformation
“Over the past two years, Ant Digital Technologies' overall business has grown at an average annual rate of nearly 50%, with AI To B business growth reaching triple digits.” On September 10, Ant Digital Technologies CEO Zhao Wenbiao disclosed the company's latest business progress at a media exchange held at the Bund Conference. This is also the first systematic disclosure of business performance since Ant Digital Technologies became an independently operated company two years ago. In Zhao Wenbiao's view, AI is becoming the new growth engine for Ant Digital Technologies. Meanwhile, as the number of intelligent agents within enterprises grows rapidly, how to produce, run, and manage agents at scale will become a new requirement for enterprise AI deployment. Ant Digital Technologies is addressing this change with an “Agent Super Factory.” AI To B has become a core focus, and Ant Digital Technologies has updated its growth metrics. Ant Digital Technologies began independent operations in 2024, has long served enterprise digital transformation, and currently serves more than 30,000 enterprises globally, with business covering 25
Key Takeaways
- Key Highlight：“Over the past two years, Ant Digital Technologies' overall business has grown at an average annual rate of nearly 50%, with AI To B business growth reaching triple digits.” On September 10, Ant Digital Technologies CEO Zhao Wenbiao disclosed the company's latest business progress at a media exchange held at the Bund Conference. This is also the first systematic disclosure of business performance since Ant Digital Technologies became an independently operated company two years ago. In Zhao Wenbiao's view, AI is becoming the new growth engine for Ant Digital Technologies. Meanwhile, as the number of intelligent agents within enterprises grows rapidly, how to produce, run, and manage agents at scale will become a new requirement for enterprise AI deployment. Ant Digital Technologies is addressing this change with an “Agent Super Factory.” AI To B has become a core focus, and Ant Digital Technologies has updated its growth metrics. Ant Digital Technologies began independent operations in 2024, has long served enterprise digital transformation, and currently serves more than 30,000 enterprises globally, with business covering 25
- Innovation & Tech：Highlights advancements in Agent, AI, Business, demonstrating rapid progress in model capabilities.
- Industry Impact：Reported via 雷峰网 (CN), offering actionable signals for developers and technology leaders.
“Over the past two years, Ant Digital Technologies' overall business has grown at an average annual rate of nearly 50%, with AI To B business growth reaching triple digits.” On September 10, Ant Digital Technologies CEO Zhao Wenbiao disclosed the company's latest business progress at a media exchange held at the Bund Conference. This is also the first systematic disclosure of business performance since Ant Digital Technologies became an independently operated company two years ago.
In Zhao Wenbiao's view, AI is becoming the new growth engine for Ant Digital Technologies. Meanwhile, as the number of intelligent agents within enterprises grows rapidly, how to produce, run, and manage agents at scale will become a new requirement for enterprise AI deployment. Ant Digital Technologies is addressing this change with an “Agent Super Factory.”
AI To B has become a core focus, and Ant Digital Technologies has updated its growth metrics. Ant Digital Technologies began independent operations in 2024, has long served enterprise digital transformation, and currently serves more than 30,000 enterprises globally, with business covering 25.
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Industry Insights & Analysis
As artificial intelligence rapidly evolves, breakthroughs surrounding Agent, AI, Business, Achieves are shifting toward scalable, robust real-world implementations.
Driven by both open-source ecosystems and proprietary model architectures, the integration between compute optimization, data engineering, and agentic workflows is accelerating. This development provides a strategic benchmark for upcoming AI tooling and developer workflows.