AI adoption series · 01
Why AI adoption is failing
Many companies have more AI pilots than useful, owned changes to work. The missing piece is execution.
2 min readAgents Anywhere Editorial Team
Possibilities are not priorities
Employees see many places where AI might help. Most companies lack a repeatable way to choose one owned next step.
The result is scattered tests, duplicate tools and pilots that cannot show what changed.
Planning and delivery are split
Advice often ends before implementation. Builders arrive after the company is expected to know what to specify. Important reasoning is lost between them.
Launch is not adoption
A released tool is not a business result. Adoption requires safe, regular use and a decision to improve, expand, pause or retire.