---
id: "contrarian-adoption-vs-friction"
type: "contrarian-insight"
source_timestamps: ["§ The Takeaways for Managers", "¶15"]
tags: ["adoption-metrics", "vanity-metrics"]
related: ["concept-ai-friction", "action-measure-friction"]
challenges: "The assumption that high usage metrics (log-ins, query volume) equate to successful, value-additive software adoption."
sources: ["tail1"]
sourceVaultSlug: "hbr-seg-tail1"
originDay: 1
articleStem: "hbr-tail-113-ai-personality-problem"
sourceUrl: "https://hbr.org/2026/06/does-your-ai-have-a-personality-problem"
sourceTitle: "Does Your AI Have a Personality Problem?"
---
# High Adoption Can Coexist with High Friction

**Challenges:** The assumption that high usage metrics (log-ins, query volume) equate to successful, value-additive software adoption.

**The reframe:** IT departments typically read high log-in rates and query volumes as proof that an AI tool is successful and well-liked. The authors call this a **vanity metric**. A tool can have massive adoption simply because its use is *mandated*, while simultaneously generating massive [[concept-ai-friction|friction]] as employees quietly struggle to work around its flaws.

The practical response is to stop trusting adoption alone and [[action-measure-friction|measure friction directly in the logs]].


## Related across articles
- [[concept-omnichannel-metrics]]