Ethan Mollick@emollickAI 采用的一个真正问题在于，组织是围绕一个狭窄的、预期的人类角色产出范围来构建的。 产出太少当然是个问题，但产出过多有时也同样糟糕，因为审批流程、人员配置模型和协调系统无法消化它。
A real issue with AI adoption is that organizations are built around a narrow expected range of human productivity in a role.
Too little output is a problem， yes， but way too much can sometimes be as bad since approvals， staffing models &； coordination systems cannot absorb it.
AI 采用的一个真正问题在于，组织是围绕一个狭窄的、预期的人类角色产出范围来构建的。 产出太少当然是个问题，但产出过多有时也同样糟糕，因为审批流程、人员配置模型和协调系统无法消化它。
A real issue with AI adoption is that organizations are built around a narrow expected range of human productivity in a role.
Too little output is a problem， yes， but way too much can sometimes be as bad since approvals， staffing models &； coordination systems cannot absorb it.