By Dr Alex Ezat Parnia, President and CEO, Florida Coastal University
Writing a report, generating code or drafting a marketing plan can now take seconds with generative AI. Tasks that once required significant time and technical effort can increasingly begin with a prompt.
That changes an important question for African students and graduates entering the labour market.
The question is no longer simply, “Will AI take my job?”
A more useful question is: If AI can produce the first draft, what value am I still being paid to add?
The answer is becoming clearer. As AI becomes better at producing initial outputs, human value increasingly lies in what happens before and after that first draft: defining the problem, exercising judgment, checking accuracy, understanding context, communicating effectively and taking responsibility for the final result.
For students willing to develop those capabilities deliberately, that shift creates an opportunity.
The Skill That Matters: Judging AI’s Work, Not Just Using It
AI can produce information quickly. It cannot remove the professional’s responsibility to determine whether that information is accurate, relevant and appropriate.
An AI tool can generate a report, but someone still needs to interpret its findings and determine whether its conclusions are justified. It can propose a marketing campaign, but a professional still needs to understand the audience, cultural context, business objective and potential consequences. It can generate software code, but a developer still needs to test that code, identify vulnerabilities and determine whether it actually solves the intended problem.
The important distinction is between generating an output and exercising judgment about that output. AI accelerates execution. Human expertise determines whether the result is reliable and useful.
That distinction should also influence how students learn. If an assignment can be completed simply by asking an AI system for an answer and submitting the response, the assessment may reveal very little about what the student actually understands.
More meaningful assessment can require students to verify AI-assisted work, explain their reasoning, identify errors or missing context, defend conclusions and demonstrate their knowledge through practical or supervised projects.
This connects closely with African Base’s earlier analysis of how Nigeria can measure real AI and digital skills beyond certificates, where practical transfer and demonstrated competence matter more than course completion alone.
Employers Need More Than “AI Skills”
Students may be tempted to believe that adding “AI skills” to a CV will automatically make them competitive. AI literacy certainly matters, but knowing how to operate an AI tool is only part of the equation.
As digital tools become commonplace across professions, employers have greater reason to distinguish between candidates who can merely produce an output and those who can evaluate information, solve unfamiliar problems, communicate decisions and adapt when circumstances change.
That makes practical evidence of ability increasingly important. A graduate who can explain how a project was completed, what went wrong, which assumptions were challenged and why particular decisions were made provides an employer with more useful evidence than someone who can simply list software tools on a CV.
The same principle applies beyond technology careers. A future accountant may use AI to analyse information, but still needs professional judgment. A communications professional may use AI to prepare a draft, but still needs to understand audiences and reputation. A healthcare professional may encounter AI-assisted systems, but professional responsibility, patient context and regulatory requirements do not disappear.
The value is therefore not simply in knowing how to use AI. It is in combining AI with genuine domain knowledge.
The Skills That Keep Appearing
- Communication: explaining an idea clearly in writing and conversation, including complex information for non-technical audiences.
- Critical thinking and judgment: recognising when information is incomplete, inaccurate, biased or inappropriate for the situation.
- Adaptability: remaining effective as tools, roles and workplace expectations change.
- Digital and AI literacy: using digital and AI tools productively while recognising their limitations and knowing when output requires verification.
- Teamwork: collaborating effectively with other people, including in workplaces where AI systems become part of everyday workflows.
These are not entirely new skills created by artificial intelligence. What AI changes is their importance. When producing a basic draft becomes easier, the ability to determine whether that draft deserves to be trusted becomes more valuable.
What This Means for African Students
This issue is particularly important for African students because governments and development institutions are already investing heavily in the relationship between skills, technology and employment.
World Youth Skills Day 2026 was held under the theme “Skills for a Shared Future.” United Nations material highlighted how artificial intelligence and other technological changes are reshaping work and stressed the importance of technical, digital and AI skills alongside communication, critical thinking and other human-centred capabilities.
Significant investment is also being directed towards skills development on the continent.
The World Bank’s Skills for Economic Transformation and Jobs programme (SET4Jobs) in Eastern and Southern Africa is backed by a $972 million financing package through the International Development Association. The programme is expected to help 18 million young people receive better education and skills by 2034 while connecting skills development more closely with sectors capable of creating employment.
In June 2026, the African Development Bank Group and the International Organisation of La Francophonie announced a partnership focused on digital skills, employability and entrepreneurship in Benin, Cameroon, Guinea, the Democratic Republic of the Congo and Madagascar. The initiative includes training in areas such as artificial intelligence, data analysis, cybersecurity, and web and mobile development.
These programmes show that digital capability matters. But students should not interpret “digital skills” to mean memorising the names of tools or collecting certificates without being able to apply what they have learned.
The real objective should be competence: Can you use the technology to solve a problem? Can you recognise when its output is wrong? Can you explain your decisions? Can you work with other people to turn an initial output into something useful?
Africa’s Digital Economy Makes the Question More Urgent
According to GSMA’s Mobile Economy Africa 2026, mobile technologies and services generated approximately $240 billion in economic value across Africa in 2025, equivalent to about 7.8% of the continent’s GDP. The sector also supported approximately 13 million jobs. GSMA projects that mobile’s economic contribution could reach $290 billion by 2030 as 4G and 5G networks expand and digital technologies become more widely adopted.
Those numbers demonstrate the scale of Africa’s digital transformation. But a growing digital economy does not need only programmers or AI specialists. It also needs managers, educators, healthcare professionals, analysts, entrepreneurs, communicators and other workers who understand how to use technology responsibly within their fields.
That is why students should think beyond the question, “What AI tool should I learn?” A better question is: What professional expertise can I develop that becomes more valuable when combined with AI?
Five Practical Ways Students Can Prepare Now
1. Pursue practical experience
Seek internships, apprenticeships, volunteering opportunities, research projects and other forms of hands-on experience. Real projects force you to make decisions when the answer is not obvious. They also teach responsibility for outcomes—something difficult to demonstrate through certificates alone.
2. Develop the habit of checking AI’s work
Do not treat an AI-generated answer as the end of the task. When AI produces an essay draft, code, analysis, research summary or business proposal, examine it critically. Ask what it has assumed, what evidence supports its claims, what it has overlooked, whether the information is current and whether the answer could be misleading in context.
3. Build a portfolio that demonstrates your thinking
A polished final product is useful, but employers may learn more when they can see how you arrived at it. Where appropriate, document the problem you were trying to solve, the alternatives you considered, the tools you used, what you changed and why you made the final decision.
4. Practise communication
Technical ability loses value when you cannot explain your work. Group projects, volunteering, presentations, student organisations, writing and public speaking can all help develop the ability to communicate with different audiences.
5. Treat graduation as the beginning of learning
A degree remains valuable, but the tools graduates use throughout their careers will continue to change. Students should therefore develop the habit of learning continuously rather than assuming that the knowledge acquired during a degree will remain sufficient throughout an entire career.
The Bottom Line
AI can already produce a useful first draft of many kinds of work. That is precisely why producing the first draft should not be the only capability a graduate brings to an employer.
The greater value increasingly comes from what happens around that draft: defining the right problem, checking whether the information is accurate, applying professional knowledge, understanding the human context, communicating decisions and taking responsibility for the result.
For African students, that should be viewed as an opportunity rather than simply a threat. Governments, development institutions and businesses are investing in digital transformation and skills development across the continent. Students can take advantage of that shift by combining technical and AI literacy with the human capabilities technology does not automatically provide.
Learn to use AI. But, more importantly, develop the expertise to know when its answer is good, when it is wrong and what should happen next.
About the Author
Dr Alex Ezat Parnia is President and Chief Executive Officer of Florida Coastal University. He has more than four decades of experience in higher education leadership, institutional strategy, adult learning and organisational growth. His work focuses on accessible and relevant education designed around the needs of contemporary learners.
Author website: Florida Coastal University
Sources and Further Reading
- United Nations — World Youth Skills Day 2026: Skills for a Shared Future
- World Bank — SET4Jobs programme
- African Development Bank Group — Digital skills and youth employment partnership
- GSMA Intelligence — The Mobile Economy Africa 2026
Editor’s note: AI tools, labour-market expectations and digital-skills programmes evolve quickly. Readers should verify current programme details and professional requirements with the relevant official organisations.
