How AI Changes the Meaning of Employability
Employability has traditionally involved having the knowledge, skills and behaviours needed to obtain and perform work.
AI adds another dimension. People increasingly need to demonstrate that they can continue creating value as the tools around them change.
The need for adaptability
This makes adaptability particularly important. A person may be highly skilled today but become less competitive if they stop learning while their profession changes.
The power of combinations
At the same time, AI does not mean everyone needs to become a technical specialist. Employability may increasingly come from combinations such as: professional expertise + AI literacy, communication + digital tools, analysis + automation, creativity + technology, or leadership + data-informed decision-making.
A new definition of employability
The future employee is therefore not necessarily the person who knows the most AI terminology. It may be the person who understands: what they are good at, what their profession requires, what technology can improve, what technology cannot responsibly replace, and what they need to learn next.
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