Tag: ArtificialIntelligence

In a low-growth economy, organisations struggle to expand revenue. They therefore face increasing pressure to unlock efficiencies and do more with less. Consider a major South African bank. It recently celebrated a successful AI-powered fraud detection pilot. The results looked impressive. The system delivered faster detection, fewer false positives and measurable savings. Leadership felt energised.

In the seventeenth and eighteenth centuries, one of the most revolutionary ideas in human history emerged - the corporation. Today, the concept seems entirely ordinary. Companies own assets, enter into contracts, raise capital, employ people, and continue operating long after their founders have passed away.

The future of Artificial Intelligence (AI) adoption lies in disciplined execution, governance and responsible implementation rather than unchecked experimentation. As enterprises accelerate the adoption of AI and agentic systems, conversations around data protection are becoming more urgent. However, organisations should avoid treating AI as an entirely new governance problem.

The World Economic Forum predicts that nearly 40% of on-the-job skills will change by 2030. The capabilities gaining ground are not just technical. Creative thinking, resilience and analytical thinking are also rising alongside Artificial Intelligence (AI) and big data. In addition, the tasks least likely to be automated require human judgment, the ability to sit with complexity and the capacity to understand people well enough to solve the right problem.

At the start of 2024, a finance worker in Hong Kong at a multinational firm joined what appeared to be a routine video call with senior leadership. The call included people who looked and sounded like the company’s UK-based CFO and other executives. However, AI-generated deepfakes had created these individuals. As a result, the employee authorised several transfers to different bank accounts worth around $25 million.

We have released our March Job Market Trends Report. The report includes an analysis of how Artificial Intelligence (AI) skills are evolving locally. It draws on data from the company’s recruitment platforms. The findings show that AI exposure among professionals has shifted from niche to mainstream. This shift signals the rise of the growing AI skills economy.

For decades, businesses assumed that information in the public domain was harmless. Artificial Intelligence (AI) has ended that assumption. By aggregating thousands of public data points, AI can reconstruct strategy, pricing and expansion plans. Under the King V Report on Corporate Governance for South Africa, protecting confidential value in this environment has become a board-level governance responsibility.

The South African Revenue Service (SARS) recently surpassed R2 trillion in net revenue collection for the 2025/26 fiscal year. This milestone marks the highest revenue collected in the country’s democratic era. It also highlights SARS’s commitment to effective tax administration. In particular, SARS continues to enforce sanctions for non-compliance through SARS’ targeted compliance programmes. Despite several challenges, SARS has maintained strong performance.

South African organisations are moving quickly from Artificial Intelligence (AI) experimentation to deployment. The latest South African Generative AI Roadmap 2025 highlights this shift. It found that 67% of respondents reported current GenAI adoption. This figure is up from 45% in 2024. Therefore, organisations are moving from planning to active use.

There's a peculiar kind of blindness that sets in when a constraint disappears. You keep solving for it anyway. You build institutions around it, develop disciplines to manage it, hire people whose entire expertise is navigating it. The constraint becomes invisible and not because it's gone, but because it's been so thoroughly baked into how you operate that questioning it feels like questioning gravity.