What Over How Work Shift

What over how work shift is the AI-era movement from humans directly performing implementation steps toward humans defining goals, constraints, acceptance criteria, and judgment. 贾扬清：我所经历的「人工智能已死」到「AI 颠覆世界」的数年巨变丨串台「声东击西」S10E24 adds the concept through [[JiaYangqing|Jia Yangqing]]’s argument that AI increasingly handles the “how” while humans must get better at specifying the “what.”

The concept is not a claim that humans disappear from work. It makes human responsibility more concentrated around problem framing, taste, validation, and accountability, linking it to Human Judgment Under AI, AI Coding Verification, Agent Reliability Verification, and AI Organization Design.

Key Claims

• AI can take over more execution detail, especially in code generation and routine knowledge-work production.
• The human role shifts toward defining the task, desired result, constraints, and evaluation method.
• Teams that keep judging only the generated code miss the deeper question of whether the product outcome is correct.
• Hiring and review need process visibility: candidates or employees can use AI, but they should explain prompts, guidance, decisions, and their own judgment.
• The shift raises social trust questions because AI adoption affects how colleagues and the public interpret layoffs, productivity, and fairness.

Connections

• [[JiaYangqing|Jia Yangqing]] - source narrator.
• Agent Reliability Verification, AI Coding Verification, and Agent Harness - verification layer that makes the shift practical.
• Human Judgment Under AI, AI Organization Design, and Large Company Organizational Inertia - organizational and managerial implications.
• AI Programming Engine Shift and AI Use Pacing - adjacent work redesign frames.