# AI adoption isn't the same as AI usage

DevFeed: [AI adoption isn't the same as AI usage](<https://devfeed.tech/articles/ai-adoption-isn-t-the-same-as-ai-usage-9167.md>)

Original publisher: [Read original article](<https://webflowmarketingmain.com/blog/ai-adoption-vs-usage-engineering-teams>)

Author: Harshal Shah

Published: 2026-08-05T00:00:00Z

Content type: opinion

Language: en

Sources: [Webflow Blog](<https://devfeed.tech/sources/webflow-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Strategy](<https://devfeed.tech/topics/ai-strategy.md>), [Code](<https://devfeed.tech/topics/code.md>), [pull-requests](<https://devfeed.tech/topics/pull-requests.md>), [Test coverage](<https://devfeed.tech/topics/coverage.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-adoption](<https://devfeed.tech/tags/ai-adoption.md>), [dashboards](<https://devfeed.tech/tags/dashboards.md>), [development](<https://devfeed.tech/tags/development.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [metrics](<https://devfeed.tech/tags/metrics.md>), [software](<https://devfeed.tech/tags/software.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

## AI overview

The article argues that AI usage metrics--such as seat activations, token spend, pull request counts, and AI-generated code percentages--do not prove that an engineering team has changed how it builds software. It distinguishes temporary individual experimentation from durable adoption, where a recurring task is permanently delegated to an AI-supported workflow.

## Source excerpt

Usage dashboards go up while nothing about how your team ships changes. Why that gap exists, and the one kind of AI adoption that actually lasts.