Leveraging Generative AI for Job Augmentation and Workforce Productivity 2024

Conclusion The emergence of GenAI in the workplace has created uncertainties, challenges and opportunities for workers, organizations and economies at large. The experience of early adopters interviewed for this report highlights that the path to harnessing GenAI’s full potential for job augmentation and workforce productivity growth is iterative and multi-faceted, requiring continuous learning, adaptation, and alignment with broader business and workforce strategies and goals. This journey is not without its challenges and its success depends not only on the technological but even more so on the human element. The framework for action proposed in this report allows organizations to start small, identify appropriate use cases, learn from initial implementations and scale progressively, enabling them to better navigate the current uncertainties surrounding GenAI in the workforce and the potential futures outlined in the report’s scenarios. By piloting use cases and gathering insights, organizations can refine their approaches and expand GenAI workforce deployment thoughtfully and respo nsibly. Crucially, as this report has shown, driving job augmentation and productivity growth increases through GenAI is at its core a human endeavor that requires buy-in from employees, robust change management and continuous upskilling. By aligning the interests of the organization with those of its workforce, companies can foster an environment where GenAI enhances job quality, supports innovation, drives productivity and, ultimately, enables job augmentation at scale. The Jobs Initiative, coordinated by the World Economic Forum, works towards good jobs for all in the context of these ongoing labour market disruptions. One of the key focus areas for the initiative is promoting strategies to ensure that GenAI and other new technologies promote job augmentation, not displacement. We invite all interested stakeholders to join us in this important work. 27