AI Market Trends

WOW’s recently published report on AI Market Trends in South Africa, which is available on WOWEB, offers a comprehensive overview of developments in this rapidly evolving sector. Readers may find the Executive Summary that follows particularly useful, as it provides an informative synopsis of some of the report’s key findings and insights.

EXECUTIVE SUMMARY

‘Artificial intelligence (AI) has evolved from a niche technology into a significant strategic priority for businesses, investors and policymakers. Since the publication of Who Owns Whom’s 2022 AI report, the sector has advanced rapidly, driven by the emergence of generative AI and the widespread adoption of intuitive natural-language applications. Leading AI systems globally have become increasingly multimodal, enabling them to interpret and generate content across multiple formats and undertake a growing range of digital and computer-based tasks. This progress has been accompanied by substantial investment in AI infrastructure, including data centres, advanced semiconductors and model-development platforms. However, the rapid uptake of AI has also raised growing concerns over model reliability, governance, energy demands, market concentration in data and computing infrastructure, and the technology’s implications for employment, all of which are attracting heightened regulatory and public attention.

For business leaders, the most significant development is not merely that AI models have become more capable, but that AI is increasingly being embedded across core business functions. AI is evolving into a foundational layer across software applications, customer service platforms, analytics systems, coding tools, search engines, fraud-detection solutions, logistics networks, clinical workflows and knowledge-based work. Stanford University’s Institute for Human-Centred Artificial Intelligence reports in its AI Index Report 2026 that 88% of surveyed organisations were using AI in 2025, up from 78% in 2024 and 55% in 2023. However, the depth and sophistication of implementation vary considerably across organisations. While general AI tools are becoming widespread, deployment of more advanced autonomous AI agents remains in the early stages of development and adoption.

The competitive race in artificial intelligence is increasingly an infrastructure race, with access to computing capacity, data centre resources, and advanced semiconductor technologies becoming critical determinants of competitive advantage. International Data Corporation (IDC), a global provider of market intelligence and advisory services, reports that global spending on AI infrastructure more than doubled to US$318bn in 2025, up from US$153bn in 2024, and is forecast to reach approximately US$497bn in 2026, highlighting the scale of ongoing investment in the sector. Separately, Amazon, Alphabet, Meta, and Microsoft reported combined capital expenditure and property-and-equipment additions of approximately US$360bn during their 2025 reporting periods. While these expenditures encompass a broad range of infrastructure investments rather than AI development alone, the companies have consistently identified expanding AI capabilities and cloud-computing capacity as key drivers of their capital spending programmes. The scale of these investments demonstrates that AI competition is increasingly shaped not only by software innovation but also by access to the financial, energy, and computing resources required to train and deploy advanced models.

South Africa enters the current phase of AI development with several advantages relative to many other African markets, including well-developed financial and telecommunications sectors, a growing cloud and data centre ecosystem, leading universities, research organisations and technology companies, and locally hosted infrastructure from major hyperscale cloud providers. Google launched its first African cloud region in Johannesburg in 2024, while Microsoft has committed a further R5.4bn to cloud and AI infrastructure investments in South Africa through 2027. These developments are improving access to computing capacity and digital infrastructure, although the country remains dependent on imported semiconductors, foreign-developed foundation models, and global cloud providers, and has a limited pool of specialised AI talent.

World Bank projections indicate that Sub-Saharan Africa’s working-age population could expand by approximately 625 million people by 2050, accounting for more than three-quarters of global growth in the working-age population. By contrast, many high-income economies face ageing populations and shrinking labour forces. In these economies, AI may help mitigate labour shortages and support workforce participation. In South Africa and across the wider African continent, however, the primary challenge will be leveraging AI to boost productivity and economic growth while creating enough employment opportunities for a rapidly expanding workforce.

South Africa’s AI prospects reflect a mix of strengths, weaknesses, opportunities and threats. Access to global AI capabilities, relatively mature digital infrastructure and strong sectoral expertise create significant opportunities, while skills constraints, infrastructure requirements and foreign technology dependence present ongoing challenges. The SWOT analysis below summarises these strategic considerations.

Key trends in the South African market include growing AI adoption across sectors, increased investment in cloud and AI infrastructure, rapid uptake of generative AI, a stronger focus on governance and risk management, rising demand for specialised skills, and a shift from experimentation to operational deployment. Organisations are placing greater emphasis on measurable business value, local relevance, and integrating AI into core business processes.

South Africa’s principal AI challenges relate to skills availability, data quality, governance, infrastructure readiness, and effectively integrating AI into business operations. Key risks include workforce disruption, inaccurate outputs, biased decision-making, privacy and data-security breaches, cybersecurity threats, and uncertainty regarding intellectual property rights. Organisations will need to balance the pursuit of productivity gains and innovation with responsible risk management, workforce transitions, and strategic dependencies. How these challenges are addressed will help determine whether AI becomes a broad-based driver of competitiveness, productivity, and economic growth or primarily benefits a limited number of firms and sectors.

Key opportunities in the South African AI market include productivity gains through automation, the development of sector-specific and local-language AI solutions, the expansion of digital services, growth in cloud and data-centre infrastructure, workforce skills development, and enhanced regional competitiveness. South Africa’s established financial sector, digital infrastructure, and relatively large enterprise customer base position it to capture value by adopting, adapting, and applying AI technologies across the economy.

AI is becoming more capable, more affordable, and more deeply integrated into products, services, and business processes. The strongest evidence points to continued growth in AI adoption, investment, and supporting infrastructure, both globally and in South Africa. However, the pace at which AI will move from augmenting human work to reliably executing complex tasks autonomously remains uncertain. The future of AI in South Africa is likely to depend less on the technology itself than on the enabling conditions around it, including reliable infrastructure, access to computing resources, high-quality data, digital and AI skills, effective governance, and organisations’ ability to translate AI capabilities into measurable economic and operational value.’