# The most misleading AI metric might be adoption. Lots of people using AI does...
Canonical: https://social-archive.org/tgroenwals/bOFwKGP46Y
Original URL: https://www.linkedin.com/posts/clarekitching_the-most-misleading-ai-metric-might-be-adoption-share-7459509386315681792-ceK8/
Author: Clare Kitching
Platform: linkedin
## Content
The most misleading AI metric might be adoption. Lots of people using AI doesn’t automatically mean your business is improving. “We rolled out AI to 5,000 employees.” Great. What changed? This is the question many organisations still struggle to answer. Too often, AI measurement starts and ends with adoption metrics: Number of users, prompts per day, licences activated. Those metrics matter to start, but you need to keep an eye on bigger outcomes. AI isn’t just a productivity tool. It can change customer experience, revenue generation, operational speed and employee experience. That means the way we measure success needs to evolve too. A sales team using AI shouldn’t be measured the same way as a customer service function. An operations team shouldn’t use the same KPIs as HR. The metric has to match the value pool. So start expanding your conversations beyond cost savings and think about different dimensions of value: 💰 Financial ⚙️ Operational 🙋‍♀️ Customer 👷‍♀️ Workforce Because many times the biggest impact of AI isn’t reducing cost. It’s increasing conversion. Or improving retention. Or shortening time to value. Or helping employees do work that was previously impossible. Adoption is still important. But high adoption with no business impact is just expensive experimentation. Start connecting usage to measurable business outcomes. Which AI KPI do you think leaders overfocus on today? ♻️ Repost to help someone measure what matters. 🔔 Follow Clare Kitching for insights on unlocking value with data & AI. 💎 If your organisation wants to get clearer on where AI can create real value, get in touch.