THE AI LISTENING TOUR

We Asked 16 Senior Leaders Where AI Is Stuck. It’s Not Skills.

We spent ten weeks asking sixteen senior leaders where AI is actually stuck inside their companies. Nobody said the problem was skills. This report helps you answer: Who makes AI work?

What we heard, and what the frontier is saying

Clarity Recruitment · Listening tour synthesis

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“There’s tons of willingness. There’s a lack of understanding of what it is, what it can do.”

SVP, Operations in Financial Services

WHAT THE RESEARCH FOUND

Data and tools topped the list of what’s blocking AI, and process came third, but underneath almost every conversation sat something harder to name: people couldn’t picture what AI would actually do in their own job. Eleven of sixteen described some version of it. Skills, the thing everyone assumes is the problem, almost never ranked first.

And when we asked what would fix it, more than ten leaders described the same person unprompted, a domain expert inside their own function who is fluent in AI. That person is really three people with three different skill-sets. Hunting for the all-in-one resource is how organizations stay stuck.

Read the findings by audience

FOR LEADERS

What sixteen leaders told us about AI, teams, and the people they can’t hire

The full findings: where AI stalls, and the four bottlenecks ranked.

Read it →

FOR TEAMS

The work AI is actually good at: messy data in, judgement out

How to pick the first project, and how the wins commonly stall on a laptop.

Read it →

FOR CANDIDATES

Your résumé can’t prove you use AI. Here’s what can

What hiring managers screen for now that the document is a weak signal.

Read it →

The full report has all sixteen conversations, the roles map, and a self-diagnostic you can run on your own team.

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We Asked 16 Senior Leaders Where AI Is Stuck. It’s Not Skills.

What we heard, and what the frontier is saying

Clarity Recruitment · Listening tour synthesis

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