According to the data provided by Marsh McLennan, the key points regarding the impact of generative AI on productivity are as follows: Generative AI can improve productivity by analyzing large amounts of data (46%) and synthesizing and summarizing data (31%). It can also enhance decision-making processes by improving decision-making accuracy (43%) and increasing decision-making speed (38%). Generative AI has the potential to drive innovation and the development of new products (40%). It can facilitate customer self-service experiences (36%) by providing tools and interfaces that allow customers to find information or complete tasks independently. Automating routine tasks (25%) is another way generative AI can contribute to productivity. Lastly, generative AI can help forecast future trends (21%) by analyzing historical data and patterns.