Mark Walker

Recently, I have had many business executives ask me to describe the AI data value chain, so here is a deliberately simple two pager that compares the data chain to the oil production cycle. The lifecycle of oil from a raw commodity to a usable product that powers the world economy is a useful proxy to understand how data and AI is transforming the world. It starts with raw items – oil and data Oil follows a clear journey from the well to the consumed product, a similar trajectory applies to data.

The human capital challenge is arguably South Africa’s most pervasive AI barrier. In this chapter www.t4i.global unpacks the current state of play and drills into specific sector-related skills issues to be fixed in the short term. According to PwC’s Africa Workforce Report, only 16% of South African organisations report having the AI and #digital #skills they need to compete.

Technology and infrastructure #constraints represent the fundamental barrier to #AI #adoption in South Africa. These challenges affect every sector and department, though specific situations vary significantly by context. In this research piece we sought to identify the major constraints and find sectoral examples of each. Energy Reliability and Power Infrastructure is the base layer. In 2026, energy has overtaken compute as the primary design constraint for AI infrastructure in South Africa.