Just over half of employees admit to using AI tools their company has not approved, rising to about two-thirds in the United States. At the same time, most executives say they are confident they can see how AI is used across the organisation. Both of those cannot be true, and the gap between them is a leadership signal, not an IT problem.
Why people reach for the tools you did not give them
Employees are not being difficult. They have been handed a handicapped tool, often an older, limited version of Copilot with little of the capability of what is freely available, and they want the best tools to do better work faster. That is the whole story. The company bought a tool so leadership could say it provided AI, and nobody wants to use it.
The arithmetic nobody has done
Here is a question worth sitting with, and I am putting it as a question, not a claim.
Companies report that employees burned through an entire year’s AI budget in a few months. Separately, a majority of the real work is running on employees’ own personal tools, not the company’s. So how much of the official AI spend actually produced anything?
Nobody would pay out of their own pocket for a private tool to do their job if the company tool did the job. People use shadow AI because it works and the sanctioned tool does not. Put the two facts side by side and the uncomfortable read is this: the internal effectiveness of the company’s own AI programme may be far worse than the public numbers suggest. The official spend bought the appearance of adoption. The actual value showed up on tools the company is not paying for and cannot see. It is the value-gap I set out in Why Your AI Adoption Isn’t Driving Business Value, and the mirror image of releasing a budget with no direction, which I described in You Didn’t Lead Your AI Project. You Just Bought Shovels.
Why this is a trust problem, not a control problem
You can lock the tools down, and you will simply push the best work further into the shadows, or push your best people out of the door. The instinct to control is the wrong instinct. The signal to read is that your people do not trust the tools you chose, and by extension the judgment behind them. Those are often the same quiet high performers I described in What Happens When Your Best People Start Using AI.
A visibility figure of near-total confidence, sitting on top of half the workforce hiding its most-used tool, is not visibility. It is a comfort blanket, and governing on it means governing a fiction. If your reflex right now is to cut the AI budget rather than fix the tooling, I would read AI Budgets Are Being Cut. This Is the Moment to Move first.
The honest version of the visibility question is not can we see AI use. It is why is half our company hiding its best tool from us.
If you are leading your organisation through this, I work with a limited number of senior leaders each quarter. Get in touch at Anglero.com.
Thomas Anglero is a Strategic AI Advisor, keynote speaker and author of Intro to Artificial Intelligence. He has delivered over 450 keynotes across 30 countries for organisations including IBM, the WHO, the World Government Summit and the European Commission. He founded the IBM Watson AI Lab for Cancer at the Oslo Cancer Cluster and closed over $500 million in enterprise transformation deals as CTO and Chief Innovation Officer at Cognizant.
Frequently asked questions
What is shadow AI?
The use of AI tools that a company has not approved. Just over half of employees report doing it, rising to about two-thirds in the United States, usually because the sanctioned tool is weaker than what is freely available.
Why do employees use unapproved AI tools?
Because the approved tool is often a limited version with little of the capability of the best tools, and people want to do better work faster. Nobody pays for or risks a private tool if the company one does the job.
Is shadow AI a security problem or a trust problem?
Primarily a trust problem. Locking tools down pushes the best work further out of sight, or pushes your best people out. The real signal is that people do not trust the tools leadership chose.
What does shadow AI reveal about official AI spend?
Possibly that it achieved less than reported. If a year’s AI budget is consumed in months and most real work runs on personal tools, the company’s own programme may be far less effective than the public numbers suggest.