Core Insights - Generative AI is leading a profound transformation in the UX design field, with Microsoft's digital division at the forefront, exploring the integration of advanced AI technologies like Microsoft Copilot into daily design and development processes [1][2] Group 1: Changes in Design Workflow - The introduction of generative AI has significantly altered the workflow of designers, allowing for a more dynamic and non-linear design process, likened to creating a "living book" where each page evolves [1] - Designers are now focusing on the logic of prompt expression and the design of dynamic adaptive cards, shifting away from traditional linear processes [2][4] Group 2: Collaboration and Efficiency - The transformation extends beyond design processes to the collaboration methods within product development teams, enabling rapid alignment of plans and goals, breaking free from traditional linear workflows [4] - Designers can now synchronize design prompts directly with product managers and engineers, greatly enhancing work efficiency [4] Group 3: User Testing and Experience Optimization - Generative AI shows immense potential in optimizing user testing, allowing for comprehensive coverage of all usage scenarios, leading to more precise and efficient testing [5] - AI can provide insights into user experiences that are difficult to capture through traditional sampling methods, enabling thorough testing of entire applications [5] Group 4: Broader Applications of AI - AI's potential extends to assisting employees in daily tasks, from finding optimal parking spots to managing employee benefits and performance evaluations [6] - The integration of AI in the workplace is seen as a means to redefine roles and enhance problem-solving capabilities, with a focus on proactive thinking [6]