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

"Generative AI is steadily rewiring the DNA of work, radically transforming some jobs, while other professions remain relatively immune. That's according to a new analysis from Indeed, a job-listings platform, that created an index to track these workplace changes. Indeed's GenAI Skill Transformation Index measures how much generative AI could change the way different skills or jobs are performed. Instead of measuring whether this technology will fully replace human workers, it examines how skills may be applied going forward and how human involvement with those skills and tasks could evolve."

"The study and index assessed the cognitive and physical demands required across nearly 2,900 work skills and the capacity of generative AI to perform them. Indeed focused on two particular criteria: Problem-solving ability: The degree to which a skill requires cognitive reasoning, applied knowledge, and practical judgment, and how well generative AI can replicate this. Physical necessity: Whether a skill requires physical execution. Until general-purpose robotics advances significantly, these tasks remain mostly human-exclusive, according to Indeed."

"Based on this evaluation, skills were grouped into four distinct categories based on their potential to be transformed by generative AI: minimal transformation, assisted transformation, hybrid transformation, and full transformation. Key findings Under this framework, Indeed found the following: 41% of the almost 2,900 common work skills assessed are exposed to the highest potential levels of GenAI-driven transformation. More than a quarter (26%) of jobs posted on Indeed in the past year could be "highly" transformed by GenAI."

A job-listings platform created a GenAI Skill Transformation Index to measure how generative AI could change the performance of nearly 2,900 work skills. The index evaluates problem-solving ability and physical necessity to assess generative AI capacity across skills. Problem-solving ability considers cognitive reasoning, applied knowledge, and practical judgment and how well generative AI can replicate those capacities. Physical necessity identifies tasks requiring physical execution that remain mostly human-exclusive until general-purpose robotics advances. Skills were categorized as minimal, assisted, hybrid, or full transformation. Results show 41% of skills face high transformation potential and over 26% of recent jobs could be highly transformed.

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