South Africa is not lacking in ambition when it comes to artificial intelligence, but the real challenge lies in execution, according to Joshua Harvey, Head of Growth at digital innovation agency Specno. Speaking on the country’s AI readiness, Harvey noted that while global benchmarks place South Africa about 35 to 40 percent behind the United States, enterprise data suggests the execution gap is even wider, with AI implementation levels at roughly half of what is seen in the US.
Harvey explained that the gap is not driven by resistance or lack of interest, but by structural constraints including skills shortages, weak data infrastructure, limited organisational alignment, and the slow integration of AI into core business strategy. Studies and industry reports, including findings from SAP, point to a critical shortage of AI related skills in South Africa, a challenge that threatens competitiveness and limits the ability of organisations to extract real value from AI investments.
Research on AI adoption frameworks further shows that successful implementation depends on readiness factors such as data quality, executive support, IT capacity, and strong governance. Where these are missing, AI projects often remain stuck at pilot stage and fail to scale. Even among executives who recognise AI’s potential, adoption is slowed by low IT maturity, risk aversion, and organisational cultures that discourage transformative change, a contrast to the United States where AI is more deeply embedded in operations, talent development, and decision making.
Looking ahead, Harvey argues that South Africa must move away from aspirational talk and focus on practical, problem driven deployment. He says progress will depend on improving AI literacy at board level, building hands on technical skills, and targeting sectors such as finance, healthcare, energy, and logistics where efficiency gains are measurable and impactful. With coordinated national efforts around training, certification, and research, Harvey believes the next year will be decisive in determining whether South Africa closes the execution gap or remains a follower in the global AI economy.