Harnessing AI for human excellence
By Prof. Samuel Lartey
For generations, professional success depended heavily on what people knew, how quickly they could process information and how convincingly they could present themselves.
Artificial intelligence is changing that equation. Someone who struggles to write, analyse data, organise ideas, conduct research, or code can now use intelligent systems to improve the quality and speed of their work.
This does not mean human ability has become irrelevant. It means the definition of ability is changing.
The emerging workplace will increasingly distinguish between people who resist AI and those who learn to work intelligently with it. The important question is no longer whether AI will enter the workplace. It is whether people will enter the AI-enabled workplace prepared to use it responsibly.
AI is exposing the productivity gap
The International Labour Organisation estimates that about one in four jobs globally have some exposure to generative AI, although most affected jobs are more likely to be transformed than eliminated.
The World Economic Forum also reports that employers expect significant changes in jobs and skills through 2030, with analytical thinking, resilience, flexibility, leadership and technological literacy becoming increasingly important.
Recent workplace research (see arXiv) provides an even more practical signal. A 2026 study using workplace application data found that frequent AI users recorded a 21.2% increase in productivity-related application activity and a 7.1% increase in communication activity.
| Stakeholder | Emerging impact | Strategic response |
| Government | Greater demand for digital skills, regulation and public sector productivity | Invest in skills, infrastructure, governance and responsible AI |
| Businesses | Higher productivity but changing job requirements | Train employees and redesign workflows |
| Investors | New opportunities in AI services, data, education and automation | Invest in productive and ethically governed AI |
| Households | Changing employment, education and income prospects | Build AI literacy and lifelong learning |
| Talents | Traditional weaknesses can become less limiting | Use AI as a supervised career development partner |
What governments must do
For governments, AI is both an economic opportunity and a governance challenge. Ghana has already launched its National Artificial Intelligence Strategy for 2025 to 2035, with emphasis on responsible AI, local talent, research, adoption and digital inclusion.
The priority should now be implementation.
- Integrate AI literacy into education and technical training.
- Develop clear rules for privacy, intellectual property, accountability and responsible use.
- Support local AI research and Ghanaian language technologies.
- Equip public servants to use AI for research, administration and service delivery.
- Ensure rural communities and disadvantaged households are not excluded from the AI economy.
Businesses must stop treating AI as the enemy
Companies should not begin with the question, “Which employee can AI replace?” A better question is, “Which weaknesses can AI help our employees overcome?”
AI can help a young accountant analyse information, help a teacher prepare differentiated learning materials, help a small business owner understand customers, help a researcher process literature and help an entrepreneur prepare professional proposals.
The employee who combines professional judgement with AI capability may therefore become considerably more valuable than either the employee who uses neither or the system that operates without human oversight.
Talents must replace fear with partnership
Professionals should not be ashamed to admit that they cannot do everything. AI creates an opportunity to compensate for weaknesses while strengthening genuine expertise.
- Admit what you do not know.
- Learn how AI can support that weakness.
- Verify every important AI generated output.
- Protect confidential and personal information.
- Disclose AI assistance where professional or institutional rules require it.
- Continue developing the underlying human skill rather than becoming completely dependent on the machine.
- Combine AI capability with judgement, ethics, creativity, empathy and domain expertise.
The greatest danger is not that AI will make people less intelligent. It is that people may stop thinking because AI is available.
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Conclusion
AI should therefore be understood as neither a miracle nor an enemy. It is a powerful partner whose value depends on the quality of the human being directing it.
The future workplace will reward people who can ask better questions, evaluate evidence, exercise judgement, communicate effectively and use intelligent tools responsibly. The competitive advantage will increasingly belong to the professional who says, “I cannot do everything, but I know how to use technology to become better.”
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