In the financial sector, AI competence is becoming a hiring requirement. What gets assessed is not a certificate but actual working practice: how someone has used a model, and what improved as a result. This will not stay within one industry, because companies of all sizes compete for the same specialists.
Before a company asks this in an interview, another question needs an answer: what is actually permitted internally. Many organisations have neither a clearance nor a policy, while the tools are already used through private accounts. Company data then flows into systems nobody can account for. An official access route with a short rule on which data may be used solves this at low cost.
Economically, looking inward first pays off: training people with years of process knowledge on a new tool is cheaper than rebuilding that knowledge. One conflict remains and should be named. Making prior AI practice a selection criterion favours candidates who had private access to such tools. Organisations that want to recruit broadly should provide a tool during the selection process themselves.