Why AI adoption trails in South Africa
Weak data readiness and limited skills continue to stall AI projects locally.
South Africa’s rate of AI implementation is roughly half that of the US, according to insights from Specno. Analysts attribute the gap to shortages in skills, weak data infrastructure and limited alignment between AI projects and core business strategy.
Despite moderate AI readiness levels, execution remains a major challenge across South African organisations. Skills shortages, insufficient workforce training and weak organisational readiness continue to prevent AI systems from moving beyond pilot stages.
Industry experts say many executives recognise the value of AI but struggle to adopt it in practice. Constraints include low IT maturity, risk aversion and organisational cultures that resist large-scale transformation.
By contrast, companies in the US are embedding AI into operations, talent development and decision-making. Analysts say South Africa must rapidly improve executive literacy, data ecosystems and practical skills to close the gap.
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