Leveraging Generative AI for Job Augmentation and Workforce Productivity 2024

change-management and adoption initiatives, use cases and tools may not be effectively utilized or adopted. It is important to set the right expectations to avoid employee disengagement when desired outcomes are not achieved at first attempt. –Communicate the “why”: It is importantto have leaders convey their vision on howGenAI can become a game changer for theorganization – both in what it delivers and howit is being delivered – demonstrating how GenAIdeployment aligns with the broader businessstrategy and highlighting benefits for employees. –Identify pilot groups : A pilot group can help develop and test GenAI workforce applicationsbefore rolling out to the rest of the organization.This may involve identifying employees who areenthusiastic about GenAI to serve as influencerswhen scaling GenAI across the organization,leveraging their positive experiences toencourage others to adopt GenAI, andsupporting GenAI use within their teams. –Promote employee awar eness and engagement: This may entail launching internalcampaigns, including gamification, to promoteGenAI and creating excitement and curiosityamong employees. These campaigns shouldhighlight the potential, benefits and impact ofGenAI for both the organization, the individualand their teams. –Monitor adoption: Organizations may measur e how employees are moving along the adoptioncurve by analysing user interactions and surveydata (e.g. low usage, low sentiment), and byactively listening to employee feedback andaddressing any concerns or issues to increasetrust.–Reward adoption : Recognizing, incentivizing and rewarding employees who actively adoptand utilize GenAI may motivate others to followsuit. Scaling actions –Designate stakeholders at all organizationlevels: Organizations should considerpromoting active support and endorsementof GenAI adoption across the organization.Executive sponsors can support GenAIimplementation, provide strategic dir ection, align the necessary resources and model the rightbehaviours to employees. Middle managersmay communicate the importance of GenAI totheir teams, outline the expected effects andchanges on the tasks of their teams, and securethe provision of necessary training and support. –Build trust through transpar ency: It is important to build trust between employeesand the organization by engaging employeesin discussions about how GenAI will be usedwithin the organization and how job changesand potential displacements will be managed,transparently addressing any concerns. –Learn fr om knowledge-sharing: Organizations should encourage activecollaboration among employees to sharesuccessful use cases and take advantage ofthe organizational network to increase adoptionthrough peer-to-peer learning or town halls toshare best practices and celebrate successes. As part of scaling up GenAI workforce deployment, organizations must equip workers with the necessary knowledge, skills and capabilities, while simultaneously managing workforce redeployment and redesigning job roles. Workers should also understand how GenAI can drive innovation and increase productivity at individual, team and organizational levels. New skills are essential for the practical application of GenAI. These skills are not only necessary to successfully execute new tasks that arise from job augmentation (e.g. reviewing and approving outputs generated by GenAI), but also for transitioning to different roles within the organization. Continuous GenAI skill development will keep the workforce agile and adaptable to future technological advancements.Starting actions –Identify skills gaps and skills requir ements: Organizations should understand the currentworkforce skills landscape and compare againstthe determined skills required for efficienthuman-GenAI collaboration. Successful GenAIjob augmentation does not only hinge on theability to perform tasks using GenAI, but also onperforming new, more complex or value-addingtasks. –Upskill to minimize skills gaps andincrease GenAI adoption : OrganizationsSkills development and redeployment 4.4 24