Foreword Generative artificial intelligence (GenAI) is transforming the world of work. According to the World Economic Forum’s latest Future of Jobs survey, within the next five years, employers expect GenAI advancements to reshape a substantial number of jobs, potentially affecting up to 40% of total global working hours. As the capabilities of this transformative technology continue to evolve, organizations are wondering how they can use GenAI to drive job augmentation and workforce productivity, and the actions they can take to harness its full potential. To find out, the World Economic Forum and PwC embarked on a new piece of research focusing on how early adopters of GenAI are leveraging it across the workforce, the impact it is having and the lessons they have learned along the way. Based on interviews with more than 20 organizations across a wide range of industries and geographies, we found that successful deployment of GenAI depends as much, or more, on people than the technology itself. Workers need to understand, trust, and adopt GenAI. This requires not only training and support but also a cultural shift within the organization to embrace new ways of working. This report covers insights from the early adopters we interviewed, as well as four different scenarios for how the deployment of GenAI in organizations could play out. It also offers an actionable framework which organizations can use to shape their GenAI workforce approach. We would like to thank all the organizations and experts who generously shared their time and experience with us. We hope this report will be a useful resource for organizations across the world as they navigate the opportunities and challenges that GenAI brings for job augmentation and workforce productivity.Peter Brown Partner, PwC UK; Global Workforce Leader, PwCTill Leopold Head, Work, Wages and Job Creation, World Economic Forum Leveraging Generative AI for Job Augmentation and Workforce Productivity: Scenarios, Case Studies and a Framework for Action November 2024 3

Leveraging Generative AI for Job Augmentation and Workforce Productivity 2024