As we step into the new business year, many leaders are asking where they stand relative to their competitors in the AI race. Thanks to data emerging from late 2025, we now have a clear picture of the landscape.
The verdict? The market has bifurcated.
The question for South African enterprises is no longer "Are we using AI?" but rather, "Which side of the adoption divide are we on?"
The Data: The "Experimentation Trap" vs. The "Scaling Elite"
By the end of 2025, the market revealed a significant split in AI maturity:
- The Majority (62%): Roughly 62% of firms were reported to be "experimenting" with AI agents. These organisations are testing the waters, perhaps running isolated pilots or using advanced chatbots in non-critical workflows. They see the potential, but the integration isn't "dense" yet.
- The Scalers (~25%): Nearly a quarter of firms have broken out of the experimentation lab. They are actively scaling Agentic AI systems in complex, high-impact functions.
Where Scaling is Happening: Logistics and Operations
It is telling where that top 25% is focusing their efforts. They aren't just using AI to write emails. The data shows they are deploying autonomous agents in areas that demand complex reasoning and multi-step execution, specifically supply chain logistics and customer operations.
Why these areas? Because they require more than just a "smart answer"—they require action.
In supply chain, agents are moving beyond forecasting to autonomously re-routing shipments based on real-time disruption data. In customer operations, they are moving beyond "tier 1 support bots" to agents capable of resolving complex, multi-system account issues without human intervention.
This is the defining characteristic of the "Scalers": they have moved from human-in-the-loop to human-on-the-loop in critical sectors.
The 2026 Challenge for Local Enterprise
For many organisations, 2025 was about getting comfortable with the technology. 2026 Must be about getting comfortable with autonomy.
Remaining in the "62% experimenter" bracket this year is a risk. As the top quartile deepens their integration, their operational efficiency and speed of decision-making will outpace those still running isolated pilots.
The goal for the year ahead is clear: move from interesting experiments to integrated infrastructure.
At caid.co.za, we specialise in bridging the gap between data potential and operational reality. If your team is ready to move from the 62% to the 25%, let’s discuss your roadmap for scaling Agentic AI.
Source: The State of AI in 2025: Agents, Innovation, and Transformation - McKinsey & Company
Source: PwC 2025 Digital Trends in Operations Survey
Source: AI in Action: How Gen AI and Agentic AI Redefine Business Operations - Capgemini 2025
