Group 1 - Ant Group's new "pay-for-performance" business model allows enterprise clients to pay based on the actual results achieved from AI applications, such as business growth or cost savings, rather than traditional project-based or subscription models [1][3] - The shift from technology payment to performance payment reflects the evolving role of AI as a business outcome accelerator, emphasizing the importance of measurable results for enterprise-level AI services [1][3] - Ant Group has already established partnerships with strategic clients based on key business outcomes and plans to promote this model across various industries [1][3] Group 2 - The "pay-for-performance" model addresses major challenges in scaling AI applications, such as high upfront costs, uncertain returns, and lack of implementation pathways, thereby lowering barriers and risks for enterprises [3] - Ant Group's comprehensive enterprise-level AI service framework enables businesses to access AI capabilities without significant infrastructure investments, particularly benefiting small and medium-sized enterprises [3] - The "ACE" methodology (Align-Construct-Evaluate) developed by Ant Group involves three steps: identifying valuable business goals with clients, constructing tailored solutions and implementation paths, and ensuring business outcomes through continuous joint operations [3]