Blog: Capability
Your AI skills gap may really be a work-design gap
Published by Forever Foundry
Put 200 employees through AI training and you can measure attendance.
You still do not know which business problem they are better equipped to solve.
Leaders want learning connected to real work
On 12 October, The Conference Board published research on leadership in AI-enabled workplaces.
It found that leaders want role-specific, work-based development: opportunities to practise AI skills in real situations rather than relying on general AI-fluency courses. The report also identifies work redesign as a growing leadership responsibility.
The findings draw on international surveys and interviews. The public summary does not disclose the sample size, so they should be treated as directional rather than a universal measure of workforce readiness.
Read The Conference Board’s report.
The FOFO™ view
Useful AI skills depend on the work people need to improve.
Imagine a manufacturer training its quality teams to use an AI assistant.
Operators may need help recording faults consistently. Quality specialists may need to compare evidence across batches. Managers may need earlier warning of recurring problems. Each role needs different information, judgement and safeguards.
A general prompting course may build confidence with the technology. It will not establish which quality decision should become faster, what evidence it requires or where human approval must remain.
That understanding has to come first.
Start with the friction, then build the capability
Before commissioning training, ask:
- Which task, decision or handoff needs to improve?
- Who performs it and who experiences the consequences?
- Where does work wait, repeat or fail?
- What knowledge and judgement are required?
- What role, if any, should AI play?
- How will better performance be measured?
Then develop people through a specific use case using their work, language and constraints.
Measure whether the capability changes the outcome: shorter resolution time, fewer errors, less rework, better decisions or fewer unnecessary escalations. Course completion and tool usage are supporting measures, not the result.
Training should follow the work that deserves to change. Read why you should not automate a process nobody would design today.
AI Compass™ listens across the organisation to identify the friction and capability gaps people experience. Slid3rs™ helps your teams rank which opportunities deserve investment. FlowRoom™ brings leadership together to agree the work, ownership and measures of success.
The right question is not simply, “Who needs AI training?”
It is, “What should our people be able to do better afterwards?”
Discover where new capability could create the greatest value. Explore AI Compass™.
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