Today’s fastest-growing companies aren’t waiting for the future. They are already using artificial intelligence (AI) to make better decisions, act faster, reduce costs, and discover new possibilities. AI helps teams work smarter, respond faster to market changes, and better serve customers.
This should raise serious questions for us. How can we prepare young learners, especially high school STEM students, to use AI before they enter the job market? If these learners are future engineers, scientists, healthcare professionals, data analysts, innovators, and business leaders, AI readiness must be part of their training now.
Kenya has long supported the UN and AU goals of industrial growth through STEM. The country has also set a goal of having 60 percent of its high school learners go through this pathway. This objective is reflected in the competency-based education model, where STEM is one of three specialized pathways and the only pathway that all high schools are expected to offer.
This is a good goal and a necessary one. STEM careers will continue to shape many sectors, including manufacturing, agriculture, health, energy, finance, education, and technology. But the real test isn’t whether you have a strong goal on paper. What matters is whether learners are prepared for the rapidly changing world of work.
Concerns about the transition to CBE are already known. Many schools continue to struggle with limited infrastructure, inadequate teacher training and funding issues. These issues need to be addressed. But beyond that, we also need to ask whether our education systems are keeping pace with the rapid changes occurring in the workplace.
AI is no longer just a buzzword. It is rapidly becoming a fundamental skill in the workplace. Many employers are now looking for people who can use AI tools to improve productivity, analyze information, solve problems, and support faster decision-making. For young people, just being able to use a computer is no longer enough. There is an increasing need to demonstrate that digital tools, including AI, can be used in a practical way.
This is especially important for STEM students. Students interested in engineering need to learn how AI can support design, testing, and problem-solving. Students interested in health sciences need to understand how AI can help with research and data analysis. Agriculture experts need to understand how AI can support crop planning, weather prediction, and better resource utilization. These are not far off stories.
The greatest benefits in the workplace will come from employees who can combine technical knowledge with AI tools. These people help organizations make faster decisions, reduce delays, improve operations, and create better solutions. If STEM students are not exposed to AI early on, they may enter the job market with more knowledge in the classroom but less skills in the workplace. This is where our curriculum needs to go further.
Learners need to not only be introduced to AI tools, but also taught how to use them successfully. They need to learn how to ask clear questions, create good prompts, check the accuracy of AI responses, compare information from different sources, and protect sensitive data.
Equally important, learners need to understand that AI is not a replacement for thinking. This is a tool that supports it. Students must still learn the core principles of science, mathematics, technology, and engineering. You must be able to question the answers that the AI generates and use your own knowledge to determine whether the output makes sense.
Teachers also need to be supported. Training teachers in basic ICT skills is not enough. Practical training in AI use, data privacy, data management, critical thinking, and risk awareness is required. Teachers who understand AI are well placed to guide learners on both the benefits and risks of using these tools.
By the time today’s high school students enter the job market, AI skills may be as basic as today’s word processing and spreadsheet skills. This means schools must start preparing now.
Ready for AI
AI should not be treated as an optional add-on or a skill reserved for college students. This should be part of how STEM learners prepare for work, innovation, and problem-solving.
However, AI readiness should not be limited to technical skills. Our education system must continue to build communication, teamwork, creativity, problem-solving, and ethical judgment. Future workers will not only need to know how to use AI. You must be able to articulate ideas and work well with others.
You also need to articulate ideas, work well with others, question outcomes, and make responsible decisions.
Kenya’s STEM ambitions are significant. But ambition must be matched by achievement. If we want young people to compete in a changing world, we must equip them with the tools, skills and expectations of the modern workplace.
The future job market will value learners who can think, adapt, and use technology to solve real-world problems. STEM education gives Kenya a strong foundation. AI support further strengthens that foundation. Tomorrow is not the time to prepare your learners. That’s now.
The author is National Director of Young Scientists of Kenya (YSK)
