Who worries you most when introducing AI at work?
Most would think the employee who barely uses it. However, we should also be watching the person who uses it brilliantly.
Beginners often approach AI cautiously by checking outputs, worrying about privacy and hesitating before submitting important work.
Experienced users, on the other hand, can behave differently. Repeated AI use builds confidence. Builds trust. Their prompts become more ambitious. They upload more information, before asking AI to analyse, recommend and eventually act.
While that level of confidence often proves invaluable, it can allow complacency to creep in.
The risk is not that skilled users know too much about AI. It is its familiarity can make the technology feel much more reliable than it is.
An experienced user may be more likely to build complex workflows, use agents, connect organisational data or rely on AI for consequential analysis. Bear in mind, that any mistake at that level poses a much larger risk than a beginner producing a mediocre email.
AI maturity therefore needs to include disciplined scepticism. Advanced users should be asking:
- What could go wrong?
- What information am I exposing?
- Which parts of this output require independent verification?
- What decisions should remain mine?
Organisations also need to avoid assuming that frequent use equals responsible use.
Managers need to ensure that capability and governance develops together.
Be AI-Wise
The goal is not to make confident AI users less confident. It is to match their confidence to their ability. The more responsibility we delegate to AI, the more responsibility we need to take for understanding its limits.
Leadership question:
Are your most advanced AI users also your most disciplined when it comes to verification, privacy and risk?
GAPS Professional Writing helps organisations build practical AI capability, strengthen workplace writing and redesign workflows for effective human-AI collaboration. Visit www.gapswriting.com.