Leveraging Generative AI for Job Augmentation and Workforce Productivity 2024

Source PwC and World Economic Forum.FIGURE 03 Framework: Promoting job augmentation and workforce productivity with GenAI Iterative feedback loopFoundations to deploy GenAIDecisions made on each of these elements will inform one another GenAI Vision & Strategy Data & Tech Infrastructure Regulatory Compliance & Governance Culture & Change Management Skills Development & Redeployment Use Case Management Enable EngageStarting Scaling Elements required to scale GenAI to reach job augmentation potential GenAI Vision & Strategy Data & Tech Infrastructure Regulatory Compliance & Governance Culture & Change Management Skills Development & Redeployment Use Case Management Enable EngageDecisions made on each of these elements will inform one another Framework for action4 Combining insights from the scenarios and lessons learned from early adopters outlined previously, this section proposes an actionable framework for promoting job augmentation and workforce productivity growth with GenAI. Focusing on factors within an organization’s control, it is designed to be useful both to organizations just starting out on their GenAI workforce deployment journey, as well as to those seeking to scale existing efforts. To promote job augmentation and workforce productivity growth through GenAI adoption, organizations will need to employ a flexible strategy. It is crucial for organizations to be able to swiftly respond to new developments and adapt their approach accordingly. Early adopters’ experiences show that an iterative approach, characterized by continuous learning and improvement, holds the most promise. Accordingly, as visualized in Figure 3, this section proposes a flexible framework that focuses on a number of key elements that may help organizations achieve widescale adoption of GenAI among their own workforce, and beyond (e.g. among contractors in their value chain). The proposed framework is based on two iterative stages: Starting and Scaling . In the Starting phase, organizations pilot and test various GenAI workfor ce applications and tools to gather important insights on what works well and what does not, while minimizing initial investment. Based on these early results and lessons learned, organizations may then make informed decisions on broader measures, which leads to the Scaling phase. The different elements that organizations should address during the Starting and Scaling phases revolve around two core themes: Enable and Engage (Figure 3). The Enable elements focus on establishing foundations and guiding principles and include: GenAI vision and strategy; Data and technology infrastructure; and Regulatory compliance and governance. Addressing these elements is an essential prerequisite for the early adoption and development of GenAI use cases. Over time, some of these elements may be strengthened or expanded when the use cases become more advanced or complex. The Engage elements focus on facilitating that GenAI workforce applications are effectively adopted and integrated into workflows to generate the desired benefits. These elements include: Culture and change management; Skills development and 21