**[OpenAI Employment Research Report: AI May Increase Jobs Rather Than Trigger a Wave of Unemployment]** Reported by Jinse Finance, April 17—A study conducted by OpenAI on over 900 occupations reveals that the disruption caused by AI in the labor market may not be as catastrophic as widely anticipated. The report highlights that while professions such as data entry, bookkeeping, and customer service face extremely high risks of automation (accounting for approximately 18% of total employment), workers in these fields are already leveraging AI to handle nearly three times the workload compared to other professions, and the rate of unemployment in these areas is rising slower than in low-risk occupations. This counterintuitive phenomenon stems from "elasticity of demand": when AI makes the output of a task (e.g., coding) cheaper and faster, the overall market demand for that service often grows exponentially, offsetting the pressure of workforce reduction brought by increased efficiency. The report categorizes occupations into four groups: aside from the aforementioned high-risk group, 46% of professions (such as teachers and domestic workers) are minimally affected; 24% of roles may see a reduction in scale but still require human oversight; and 12% of professions (such as software development) are expected to experience job expansion due to the widespread adoption of AI. Currently, workers in high-risk professions are utilizing less than one-fourth of AI's theoretical capabilities.