---
id: "contrarian-training-hours-are-useless"
type: "contrarian-insight"
source_timestamps: ["§ They Measure Real-World Performance", "¶16"]
tags: ["contrarian-insight", "metrics", "training-philosophy"]
related: ["claim-traditional-training-metrics-fail", "action-track-human-ai-handoffs", "quote-measure-what-workers-do"]
challenges: "The conventional reliance on participation-based metrics (LMS completion rates, hours logged) to evaluate workforce readiness."
sourceUrl: "https://hbr.org/2026/05/the-best-manufacturers-build-ai-with-workers-not-for-them"
sourceTitle: "The Best Manufacturers Build AI with Workers, Not for Them"
sources: ["adoption"]
sourceVaultSlug: "hbr-seg-adoption"
originDay: 9
articleStem: "hbr-cl-78-build-ai-with-workers"
---
# Contrarian: Training Hours Capture Exposure, Not Capability

**The contrarian claim:** Conventional HR and management practice relies heavily on tracking *training hours logged* and *courses completed* to prove compliance and readiness. The authors argue these metrics are actively **misleading** for AI adoption, because they measure only *exposure* to material — not whether a worker can actually operate confidently alongside AI in real conditions.

**What it challenges:** the near-universal reliance on participation-based metrics (LMS completion rates, hours logged) to evaluate workforce readiness.

**The proposed replacement:** operational signals of human-AI interaction on the floor — see [[action-track-human-ai-handoffs]] and the formal argument in [[claim-traditional-training-metrics-fail]]. The one-line directive is [[quote-measure-what-workers-do]]: "Measure what workers do, not what you think they do."

> **Steelman the other side (enrichment).** Operational collaboration metrics can *also* miss important dimensions — handoff speed and exception resolution may under-measure judgment quality, safety, learning transfer, and long-term resilience, and a narrow KPI set can invite gaming or premature optimization if used without qualitative review and human oversight. The strongest position combines operational signals with periodic qualitative assessment.