Human-Scale AI Use / 人作为 AI 的尺度

Human-scale AI use is the standard in EP275 Token 通胀时代，谁还能“不可替代”？丨“人在中流”特别策划01 that asks whether AI improves the user’s work quality, life quality, value creation, and agency. 陈明霞 condenses it as the idea that the person, not the tool, token budget, KPI, or capital narrative, should be the scale by which AI use is judged.

The concept complements AI Use Pacing and Human Agency Under AI. Pacing asks when to slow down; agency asks what deserves delegation. Human-scale use supplies the evaluative test: a workflow is good only if it serves the person and the real context, rather than turning the person into the tool’s operator, supervisor, or justification.

Key Claims

• AI use should be evaluated through real value, quality, relief, learning, or life improvement, not through tool adoption alone.
• Token budgets and subscription access can become false signals if they encourage consumption without accepted output or better work.
• Human-scale use can mean using AI intensively, using it narrowly, or choosing not to use it when the process itself is valuable.
• The test applies to organizations too: executives should ask whether AI investment follows mission and value rather than anxiety or fashion.
• Human-scale use turns “what can AI do?” into “what should this person or organization do with AI in this situation?”

Connections

• 陈明霞, 李维, and Talk三联 - source context.
• AI Use Pacing, Human Agency Under AI, Human Judgment Under AI, and Non-Algorithmic Capabilities / 非算法能力 - practical agency and judgment branch.
• Token Maxxing, AI Inference Cost Structure, AI Commercialization Pressure, and AI Productivity Ratchet / AI 生产率棘轮 - token, cost, ROI, and work-pressure branch.
• Human Value Beyond Efficiency, Human Connection Under AI, and Subjectivity As AI Asset - value, connection, and subjectivity branch.