Leveraging Generative AI for Job Augmentation and Workforce Productivity 2024

Low trust, expanding applicability & quality At first glance, this scenario resembles Scenario 2: organizations want to deploy GenAI, but a large part of the workforce is resisting or hesitant. However, in this scenario, low trust is due to concern about job displacement as opposed to fear of incorrect GenAI tool outcomes. In fact, in this scenario, the expanding applicability and quality of GenAI is so good that it can potentially take over many tasks and even fully replace a range of jobs. In this scenario, pressure from shareholders or supervisory boards on leadership is very likely to increase the pace of deploying GenAI on a larger scale. Early adopters may achieve substantial competitive advantage by benefiting from the high applicability and quality of GenAI. These early adopters are likely to see benefits, which could lead to a gap between those who scaled early and those who did not. There is pressure on leadership relating to the workforce, and jobs of people who “cannot keep up” with developments are seriously at stake. This may lead to tensions within the organization and will also require involvement of unions and worker representatives. Some forward-thinking organizations may opt to invest heavily in culture change and upskilling, focusing on using GenAI responsibly and skills that are needed in the future – with initial pilots targeting specific low-risk, high-return areas – to test GenAI’s productivity gains and mitigate concerns over job replacement. However, other organizations may take a less human-centric approach. Scenario 3 implications: – Slower implementation of GenAI in most organizations, due to lack of trust. – In the market, there is a big difference between early adopters and those who follow, which only increases the pressure on the latter. – Within organizations there will be pressure on workers who are reluctant or unable to adopt GenAI, potentially leading to conflict and unequal outcomes. – Job augmentation and initial productivity improvements are evident in certain parts of the organization; however this has not led to widespread job augmentation and productivity enhancements, and benefits are concentrated among a few.Scenario 3: Lost Opportunities 2.3 High trust, expanding applicability & quality In Scenario 4 we again meet the enthusiastic and experimenting organizations and workforces encountered in Scenario 1, with trust being high and quality and applicability rapidly expanding, enabling organizations to scale up use cases faster. GenAI becomes an integral part of daily processes, tasks, tools and systems. It seamlessly integrates into various roles, automating routine tasks and providing advanced decision-support capabilities, resulting in considerable productivity gains and the creation of new and augmented roles. In this high trust / high quality scenario, organizations not only use GenAI in their own operations, but also begin to incorporate it into their products and services faster, potentially driving substantial innovation and business model transformation.Much more than in the other scenarios, organizations may maximize GenAI-associated productivity increases, job augmentation and potentially even job creation. Howeve r, with a rapid pace of change, demands on organizations’ and workers’ agility and adaptability are equally high. For some workers, this means transitioning to other functions faster. Workers who are unable to adapt to the accelerated pace of change may face job losses, potentially leading to conflict between workers and the organization. Counteracting this, access to a wide range of jobs may be democratized thr ough leveraging access to GenAI tools, and talent pools expanded. Accelerated upskilling pr ogrammes may be required to enable employees to acquire new skills fast, while demand for GenAI and data experts will rise, intensifying the war for talent. Gaps between those whose jobs are exposed to transformations by GenAI and those whose are not could emerge or deepen, leading to significant societal impacts. Accordingly, this scenario r equires organizations Scenario 4: Shifting Gears 2.4 14