How to Make AI Adoption Useful for Every Employee

In a recent LinkedIn post, Clare Kitching discusses why giving employees access to AI tools and training may not be enough to build everyday use. Her argument centers on showing people how AI can help with a task they already find difficult or time-consuming.

“If you’re clever, you won’t leave the rest to luck.”

Start with the employee’s perspective

Kitching says organizations can get caught up in AI’s potential while overlooking what adoption feels like to employees. A new tool may seem exciting to leaders, but to someone with a full schedule it can look like another skill to learn and another training session to attend.

She recalls a reminder from a friend in learning and development: “WIIFM,” or “What’s In It For Me?” According to Kitching, that question can help leaders connect AI adoption to employees’ own priorities rather than presenting it as a technology initiative in the abstract.

Show how AI helps with real work

In Kitching’s view, a practical demonstration should address a familiar, everyday frustration. She points to a presentation that takes too long to create, a challenging spreadsheet task, or rough notes that need to become a polished email. These examples make the potential benefit concrete and relevant to the person doing the work.

“So make it clear and show them how AI will help them solve a daily battle”

That approach shifts the focus from learning a tool for its own sake to seeing whether it can ease a specific part of the workday. Kitching’s post does not suggest that a single successful use will resolve every adoption challenge; instead, it presents an initial helpful experience as a reason for an employee to try AI again.

Make the first experience worth repeating

Kitching argues that adoption can build through repeated usefulness. If an employee gets help with a real task, the next similar assignment may feel like an opportunity to use AI rather than an obligation to complete more technology training.

“A useful first experience won’t solve every adoption challenge. But it gives someone a reason to come back.”

Her point is that access and instruction alone may leave a gap between organizational rollout and daily practice. Leaders can help bridge it by identifying routine tasks where AI may be useful and showing employees how it fits into their work.

From access to practical value

As Kitching’s LinkedIn post frames it, the goal is not simply to make AI available. It is to give people a clear, personal reason to use it. The post offers a focused lesson for organizations working on adoption: start with the employee’s daily challenges, then let a useful result make the case for returning to the tool.