Artificial intelligence will not replace executives but executives using AI will replace those who don’t

JOSHUA SIMUKA

Artificial intelligence (AI) is no longer a future conversation. It is already reshaping how businesses compete, make decisions, manage customers, reduce costs, and improve productivity.

Across global markets, companies are integrating AI into operations, customer service, finance, logistics, marketing, and strategic planning.

The question for Zimbabwean executives is no longer whether AI matters. The real question is whether leadership is moving fast enough to remain competitive.

One of the biggest misconceptions about artificial intelligence is the belief that it is primarily a technical issue. In reality, AI is a leadership issue.

The companies gaining competitive advantage from AI are not necessarily the most technologically advanced. They are the ones whose executives understand how technology can improve business performance.

Many local organisations still view AI as something experimental, expensive, or only relevant to large multinational corporations. This mindset is dangerous.

The real risk is not that AI will replace people overnight. The real risk is that businesses that ignore AI will become slower, less efficient, and less competitive against those that adopt it strategically.

Already, there are practical areas where Zimbabwean businesses can apply AI immediately without major capital investment. Customer service is one example. Many companies continue to lose business because response times are slow, customer engagement is inconsistent, and service delivery depends entirely on manual processes. AI-powered customer systems can now automate responses, improve engagement, track customer behaviour, and provide insights into purchasing patterns. This improves both efficiency and customer satisfaction.

In finance departments, AI is increasingly being used for forecasting, fraud detection, expenditure analysis, and financial reporting. Instead of relying solely on historical spreadsheets, executives can now access predictive insights that improve decision-making. A business that can anticipate cash flow pressure earlier will always outperform one that reacts late.

Human resources is another area undergoing transformation. AI-driven systems are helping organisations screen CVs, identify skills gaps, monitor productivity trends, and improve workforce planning. In an economy where retaining productive talent is becoming increasingly difficult, smarter workforce management is becoming a strategic advantage.

However, technology alone will not transform organisations. Many digital initiatives fail because leadership focuses on buying systems instead of redesigning processes. Some companies spend thousands of dollars on software yet continue operating inefficiently because the underlying business culture has not changed. Automation applied to a broken process simply makes inefficiency faster.

This is where executive leadership becomes critical. AI adoption must begin with a clear business problem. What exactly is the organisation trying to improve? Is the objective to reduce operating costs, improve turnaround time, strengthen customer retention, enhance forecasting accuracy, or increase productivity? Without strategic clarity, technology investments become expensive experiments rather than performance drivers.

Executives must also recognise that AI adoption is not only about systems, but about organisational readiness. Employees need training. Processes need redesigning. Performance indicators need updating. Governance structures must adapt to technology-driven decision-making. Businesses that fail to prepare internally will struggle to realise value from digital investments.

The competitive landscape is also changing rapidly. Historically, larger organisations dominated because they controlled capital, infrastructure, and market access. Today, technology is reducing those barriers. Smaller, agile businesses using AI effectively can compete aggressively against larger but slower organisations. In many industries, speed, adaptability, and decision quality are becoming more important than size.

For Zimbabwean executives, the challenge is no longer whether AI will affect business. It already is. The strategic question is whether leadership will proactively shape that transition or be forced to respond after competitors have already moved ahead.

The companies that will dominate the next decade are not necessarily those with the biggest balance sheets. They are the ones whose leaders understand how to combine technology, strategy, execution, and people into a performance-driven business model.

Artificial intelligence will not replace executives. But executives who understand artificial intelligence will increasingly replace those who do not.

Joshua Simuka is a Zimbabwean Scholar, lecturer, and strategy and innovation expert at the Harare Institute of Technology, Zimbabwe’s Innovation and Technopreneurial University. He specialises in corporate strategy, organisational performance, and innovation management. He can be reached via email at jsimuka@hit.ac.zw or by phone on +263 242 741422/36 and mobile +263 773 817016.