{"id":6426,"date":"2026-06-28T06:55:23","date_gmt":"2026-06-28T04:55:23","guid":{"rendered":"https:\/\/mypr.co.za\/?p=186205"},"modified":"2026-06-28T06:55:23","modified_gmt":"2026-06-28T04:55:23","slug":"ai-is-not-a-technology-project-it-is-a-business-change-project","status":"publish","type":"post","link":"https:\/\/mypr.co.za\/mail\/ai-is-not-a-technology-project-it-is-a-business-change-project\/","title":{"rendered":"AI Is Not a Technology Project. It Is a Business Change Project"},"content":{"rendered":"
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While AI adoption is accelerating across South Africa and globally, productivity gains are often falling short of expectations. Employees attend training, organisations purchase licences, and management expects rapid improvements. Yet months later, many businesses are still asking the same question:<\/p>\n

Why are we not seeing the value we expected?<\/strong><\/p>\n

According to Arnold Muscat, Director of College Africa Group, the answer is often surprisingly simple.<\/p>\n

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\u201cMany organisations believe that buying AI licences and providing training will automatically improve productivity. In reality, the greatest challenge is not the technology.<\/strong><\/p>\n

It is helping people change the way they work. AI delivers value when it becomes part of everyday business processes, not simply because the software is available.\u201d<\/strong><\/p>\n

Arnold Muscat, Director, College Africa Group<\/strong><\/p>\n<\/blockquote>\n

<\/span>The Technology Is the Easy Part<\/span><\/h2>\n

Deploying AI tools has never been easier. Employees can access ChatGPT in minutes, Microsoft Copilot is integrated into Microsoft 365, and new AI applications are appearing almost daily.<\/p>\n

The challenge is not gaining access to AI.<\/strong><\/p>\n

The challenge is changing how people work.<\/strong><\/p>\n

Many employees continue performing tasks exactly as they did before AI was introduced. Existing processes remain unchanged, information continues to move through the same bottlenecks, and teams often lack clear guidance on where AI should be used and where human judgement remains essential.<\/p>\n

Research and industry experience increasingly point to the same conclusion: AI adoption is primarily a people, process and leadership challenge rather than a technology challenge. Organisations that focus only on software deployment often struggle to achieve sustainable results.<\/p>\n

<\/span>Productivity Does Not Come From AI Alone<\/span><\/h2>\n

A common misconception is that AI automatically creates productivity.<\/p>\n

In reality, productivity improvements occur when people change the way they perform tasks.<\/p>\n

For example, an employee may use AI to:<\/p>\n