{"id":6285,"date":"2026-06-11T09:58:51","date_gmt":"2026-06-11T07:58:51","guid":{"rendered":"https:\/\/mypr.co.za\/?p=185325"},"modified":"2026-06-11T09:58:51","modified_gmt":"2026-06-11T07:58:51","slug":"when-it-comes-to-ai-is-your-business-using-sense-or-just-spending-cents","status":"publish","type":"post","link":"https:\/\/mypr.co.za\/mail\/when-it-comes-to-ai-is-your-business-using-sense-or-just-spending-cents\/","title":{"rendered":"When It Comes to AI, Is Your Business Using Sense or Just Spending Cents?"},"content":{"rendered":"
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Table of Contents<\/p>\n

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Cape Town: As organisations continue investing in ChatGPT, Microsoft Copilot, Claude and other artificial intelligence tools, an important question is emerging in boardrooms and management meetings:<\/p>\n

Is AI creating measurable business value, or is it simply creating more activity?<\/strong><\/p>\n

According to Arnold Muscat, Director of College Africa Group, many organisations are focusing on AI activity rather than business outcomes.<\/p>\n

\u201cAI usage is easy to measure. Business value is much harder to measure. The real question is whether AI is helping employees save meaningful time, improve decision-making, reduce errors and produce better business results. AI can increase activity without increasing productivity.\u201d<\/em><\/strong><\/p>\n

Muscat believes organisations should focus less on the number of prompts submitted and more on the quality and value of the work being produced.<\/p>\n

Many businesses can tell you how many AI licences they have purchased. They can tell you how many employees are using AI tools and how much is being spent each month on subscriptions.<\/p>\n

What many organisations struggle to measure is whether those investments are actually improving productivity.<\/p>\n

The number of prompts submitted, reports generated or emails drafted does not automatically translate into better business outcomes.<\/p>\n

<\/span>In other words, AI usage is not productivity.<\/strong><\/span><\/h3>\n

Businesses have faced similar challenges before. More meetings do not necessarily lead to better decisions. More emails do not necessarily improve communication. More reports do not automatically improve management performance.<\/p>\n

The same principle applies to artificial intelligence.<\/p>\n

AI activity only becomes valuable when it improves the quality, speed, accuracy or usefulness of work.<\/p>\n

Real productivity improvements may include:<\/p>\n

\u2022 Faster report preparation
\u2022 Reduced repetitive administration
\u2022 Improved communication
\u2022 Better customer service
\u2022 Faster access to information
\u2022 Reduced errors and rework
\u2022 Improved decision-making
\u2022 Higher-quality business outputs<\/p>\n

These are the outcomes that matter.<\/p>\n

Artificial intelligence can draft reports, summarise information, generate presentations and suggest spreadsheet formulas. However, AI-generated outputs still require human review, validation and judgement.<\/p>\n