---
id: "question-scaling-judgment"
type: "open-question"
source_timestamps: ["¶96 (Adi Ignatius)", "¶100 (Daniela Seabrook)"]
tags: ["leadership-development", "scaling"]
related: ["quote-investing-in-judgment", "prereq-human-judgment", "entity-adi-ignatius", "entity-daniela-seabrook"]
speakers: ["Adi Ignatius", "Daniela Seabrook"]
resolutionPath: "Requires longitudinal data on the efficacy of experiential leadership summits and peer-to-peer cascading models (e.g., top 150 leaders training the next 500)."
sources: ["reskilling"]
sourceVaultSlug: "hbr-seg-reskilling"
originDay: 10
articleStem: "hbr-edu-43-leading-human-ai-organization"
sourceUrl: "https://hbr.org/2026/05/leading-the-human-ai-organization"
sourceTitle: "Leading the Human-AI Organization"
---
# How Do We Scale Judgment Training?

While all panelists agree that **'judgment' and 'critical thinking'** are the most vital skills in the AI era (see [[quote-investing-in-judgment]] and [[prereq-human-judgment]]), there is **no consensus on how to effectively train these soft skills at scale** across an entire enterprise.

Pressed by [[entity-adi-ignatius|Adi Ignatius]], [[entity-daniela-seabrook|Daniela Seabrook]] admits they are currently **piloting experiential 'microskills' training with top leaders**, but **scaling it to the broader workforce remains an unsolved challenge.**

**Resolution path:** Requires longitudinal data on the efficacy of experiential leadership summits and **peer-to-peer cascading models** (e.g., the top **150 leaders training the next 500**).


## Related across articles
- [[claim-reasoning-trail-accelerates-judgment]]
- [[question-compressing-experience]]
- [[question-complex-teaming-skills]]