The missing middle in AI skilling

Ever since the momentum of AI adoption by enterprises picked up, significant attention has been directed towards developing skills at two ends of the spectrum. On one hand are programmes aimed at preparing entry-level talent with basic AI literacy, while on the other are initiatives focused on creating high-end AI talent capable of leading transformation projects. While both ends of the spectrum are important, one critical layer demands far greater attention – the middle layer of the workforce. The real opportunity lies in this segment of jobs that connects technology with domain expertise, productivity and business outcomes.

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