AI work is rewarding human judgment, not prompt engineering
YvesMulkers · x · 2026-07-27
The post argues that the skills rising fastest in the AI era are not prompt engineering, but human-in-the-loop abilities: workshop facilitation, stakeholder communication, strategic planning, statistical reasoning, and exploratory data analysis.
The accompanying image reinforces the point with a simple framework: move from data to decision by orchestrating alignment across teams. It contrasts low-leverage “model skills” with higher-impact decision skills, and says the real edge is human judgment plus orchestration. A small case vignette shows a workflow shifting from a static weekly dashboard to workshop-driven metrics thresholds, decision rules, owners, and finally EBITDA improvement.
More from AGI Musings
- Frontier lab leaders may be safest for ASI only if they do not want to win first — BlackHC · 2026-07-27
- Reply says OpenAI was founded to beat Demis Hassabis to AGI — zetalyrae · 2026-07-27
- AI can run interpretability experiments, but still misses what is actually a breakthrough — dejavucoder · 2026-07-27
- LLMs still fail at temporal reasoning, and a hierarchical HMM is proposed for extreme long contexts — beffjezos · 2026-07-27
- Terence Tao says AI could push mathematics from proof scarcity to proof abundance — 量子位 · 2026-07-27
- AI agents may lose to UIs on repetitive work, but win on novel tasks — bendee983 · 2026-07-27