1、2 Generative AIs Influence on Employment Patterns June 2024 Mar Carpanelli Staff Data Scientist LinkedIn Matthew Baird Senior Staff Economist LinkedIn Cristian Jara-Figueroa Senior Data Scientist LinkedIn*Generative AIs Influence on Employment Patterns Economic Graph White Paper June 2024 In this st

2、udy,we investigate the differential impacts of Generative Artificial Intelligence(GAI)on workers in the US using LinkedIn data,both overall and by their educational attainment levels.We find a gradual shift away from GAI-disrupted occupations over the past six years towards potentially augmented or

3、insulated roles,particularly pronounced among higher-educated workers.Through an analysis of occupational transitions,we make predictions under various scenarios of GAI impact,examining the proportions of workers within different GAI occupation classifications,transitions from employment to non-empl

4、oyment,and shifts in occupational categories.While workers with higher educational attainment tend to exhibit higher rates of occupational mobility,the differential effects of GAI on employment and occupational changes underscore the importance of considering educational disparities in the context o

5、f technological advancements.*Currently at Cash App.All work was done while at LinkedIn.3 GAIs Influence on Employment Patterns Economic GraphIntroduction Generative AI(GAI)tools,such as Copilot,ChatGPT,and Gemini,have the potential to fundamentally change how people work and their productivity.75%o

6、f knowledge workers using AI at work and 79%of work leaders stating their company needs to adopt AI to stay competitive(Microsoft&LinkedIn,2024).However,not all workers will be equally impacted.In our prior work,we classified each occupation to one of three groups,based on their skill composition:th