MWONGERA: STEM students must be ready for AI-driven job market

The fastest-growing companies today are not waiting for the future. They are already using artificial intelligence to make better decisions, move faster, reduce costs and find new opportunities. AI is helping teams work smarter, respond quickly to market changes and improve how they serve customers.

This should make us ask a serious question: how are we preparing young learners, especially science, technology, engineering and mathematics (STEM) students in high school, to use AI tools before they enter the job market? If these learners are the future engineers, scientists, health workers, data analysts, innovators and business leaders, then AI readiness must become part of their training today.

Kenya has long supported the United Nations and African Union goals of industrial growth through STEM education. The country has also set a target of having 60 per cent of learners in senior school go through the STEM pathway. This ambition is reflected in the new competency-based education model, where STEM is one of the three specialised pathways and the only pathway that every senior school is expected to offer.

This is a good and necessary goal. STEM careers will continue to shape many sectors, including manufacturing, agriculture, health, energy, finance, education and technology. However, the real test is not whether we have strong targets on paper. The real test is whether our learners are being prepared for the world of work as it is changing.

The concerns around the transition to CBE are already known. Many schools are still struggling with limited infrastructure, inadequate teacher training and funding challenges. These issues must be addressed. But beyond them, we must also ask whether our education system is keeping pace with the rapid changes taking place in the workplace.

AI is no longer just a buzzword. It is quickly becoming a basic workplace skill. Many employers are now looking for people who can use AI tools to improve productivity, analyse information, solve problems and support faster decision-making. It is no longer enough for a young person to say they can use a computer. Increasingly, they must show that they can use digital tools, including AI, in a responsible and practical way.

This is especially important for STEM students. A student interested in engineering should learn how AI can support design, testing and problem-solving. A student interested in health sciences should understand how AI can help with research and data analysis. A student in agriculture should see how AI can support crop planning, weather prediction and better use of resources. These are not distant ideas. They are already becoming part of modern work.

The biggest workplace gains will come from employees who can combine technical knowledge with AI tools. These are the people who will help organisations make quicker decisions, reduce delays, improve operations and create better solutions. If our STEM students are not exposed to AI early, they may enter the job market with strong classroom knowledge but weak workplace readiness.

This is where our curriculum must go further. Learners should not only be introduced to AI tools, but also taught how to use them well. They should learn how to ask clear questions, write good prompts, check the accuracy of AI responses, compare information from different sources and protect private or confidential data. 

Just as important, learners must understand that AI is not a replacement for thinking. It is a tool that supports thinking. Students must still learn the core principles of science, mathematics, technology and engineering. They must be able to question AI-generated answers and use their own knowledge to judge whether the output makes sense.

Teachers also need to be supported. It is not enough to train teachers in basic ICT skills. They need practical training in AI use, data privacy, data management, critical thinking and risk awareness. A teacher who understands AI is better placed to guide learners on both the benefits and the dangers of using these tools.

By the time today’s high school learners enter the job market, AI skills may be as basic as word processing and spreadsheet skills are today. This means schools must begin preparing them now. AI should not be treated as an optional extra or a skill reserved for university students. It should become part of how STEM learners are prepared for work, innovation and problem-solving.

However, AI readiness should not be limited to technical skills. Our education system must also continue to build communication, teamwork, creativity, problem-solving, and ethical judgment. The future worker will not only need to know how to use AI. They will also need to explain ideas clearly, work well with others, question results, and make responsible decisions.

Kenya’s STEM ambition is important. But ambition must be matched with delivery. If we want our young people to compete in a changing world, we must prepare them for the tools, skills, and expectations of the modern workplace.

The future job market will reward learners who can think, adapt and use technology to solve real problems. STEM education gives Kenya a strong foundation. AI readiness can make that foundation even stronger. The time to prepare our learners is not tomorrow. It is now.

The writer is a national director, Young Scientists Kenya