Learning & Skills · Source published 10 April 2024
Research signal
OECD research published in 2024 examined changing skill demand in AI-exposed jobs that do not require specialised AI expertise.
Source: OECD — Artificial intelligence and the changing demand for skills · 10 April 2024.
Event Systematic perspective
Most employers need a clear distinction between building an AI system and using one responsibly in a business role. A procurement coordinator may need to compare supplier information and detect inconsistent claims. A hospitality supervisor may need to review a generated guest communication. Neither assignment automatically requires machine-learning engineering.
Our recommended learning sequence begins with the existing profession. Teach people to define the question, identify suitable information, inspect the output and explain the decision. Add tool instruction after those requirements are clear. This protects the value of domain experience while making it usable in a different workflow.
Put it into practice
- Write learning outcomes as observable work: verify a claim, reconcile a discrepancy or explain an exception.
- Use examples from the learner’s industry and offer support for different language and digital-confidence levels.
- Assess a completed task with a reviewer rather than relying only on a multiple-choice certificate.
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