Here are the jobs most and least likely to be transformed by GenAI, according to a new index from Indeed

Generative AI is reshaping the workplace, dramatically altering some roles while leaving others largely unaffected. This insight comes from a recent analysis by Indeed, a leading job-listing platform, which has developed a new index to monitor these shifts in employment dynamics. The GenAI Skill Transformation Index by Indeed evaluates the extent to which generative AI might change the application of various skills and jobs. Rather than focusing solely on the potential for job displacement, this index considers how human involvement in specific tasks may evolve alongside technological advancements. In its study, Indeed examined nearly 2,900 work skills, assessing both cognitive and physical demands. The analysis centered around two key criteria: the problem-solving capabilities required for a skill and the physical execution needed. Indeed noted that many tasks reliant on physical skills are likely to remain human-centric until advancements in general-purpose robotics occur. Based on this evaluation, skills were classified into four categories: minimal transformation, assisted transformation, hybrid transformation, and full transformation. Notably, a year ago, no skills were deemed “very likely” to be entirely replaced by generative AI. However, the latest findings indicate that 19 skills, representing 0.7% of those analyzed, are now assessed as “very likely” to be fully automated. This marks a significant shift, reflecting the rapid advancements in generative AI capabilities. According to Annina Hering and Arcenis Rojas from Indeed's Hiring Lab, the evolving nature of generative AI suggests that more skills will become viable for automation as technology advances, provided they do not require physical execution. Interestingly, roles in childcare, nursing, and construction are among the least likely to be transformed by generative AI. In contrast, software development stands out as the most susceptible to change, with 81% of the required skills expected to undergo a hybrid transformation, where AI takes the lead and humans provide supervision. Data & Analytics and accounting follow closely behind, indicating a similar trend. The overarching takeaway is clear: no job is completely immune to the effects of generative AI, but the degree of exposure varies significantly across different professions. Technical and information-heavy roles will likely bear the brunt of automation, while positions that rely heavily on human interaction and physical presence are expected to remain largely unaffected. For businesses, this necessitates a reevaluation of workflows and training programs. For employees, it highlights the importance of honing uniquely human skills such as physical dexterity, informed oversight, and empathy—areas where AI still struggles to compete effectively.