Multiple outlets report on AI expert Modestas Mankus discussing how artificial intelligence may affect different professions. The coverage focuses on which types of jobs could face earlier automation pressure and which roles are expected to be less directly replaceable in the near term. While the articles do not present a single, universal ranking, they describe a general pattern: tasks that rely heavily on repetitive, routine, or easily codified work are portrayed as more vulnerable to automation. By contrast, roles involving complex decision-making, human judgment, and responsibilities that are harder to standardize are described as more likely to remain safer for now. The reports frame the discussion as an expert assessment rather than a verified forecast of specific job losses. They also emphasize that the timeline for impact can vary by industry, organization, and how quickly businesses adopt AI systems. Overall, the articles use Mankus’s view to guide readers through the kinds of work that are most likely to be affected first versus work that may see slower or more limited change.