A good idea can start with curiosity: a problem you want to solve, a tool you want to explore, or a possibility you have not seen before. But moving from an idea to an entrepreneurial project is rarely straightforward.

Young people entering AI entrepreneurship may bring creativity and digital confidence, but also uncertainty. Is the problem worth solving? Who would benefit? Is AI the right solution? What should be tested first?

This is where mentorship helps.

Why mentorship matters?                            

A mentor does not need to have all the answers. Good mentorship is about helping young people think more clearly, make informed decisions and learn from experience. The OECD and European Commission recognise mentoring and coaching as important support for youth entrepreneurship.

This also connects with the European EntreComp framework, which highlights creativity, initiative, perseverance, working with others and learning from experience as important entrepreneurial competences.

Mentorship can therefore offer a space to discuss ideas, test assumptions, receive feedback and decide what to do next. It can also help young people stay motivated when an idea needs to change.

Ask better questions

AI can make it tempting to begin with the technology: Which tool should I use?

A mentor can help shift the focus to more useful questions:

• What problem are we trying to solve?
• Who experiences this problem?
• What value could the solution create?
• What could AI add?
• What assumptions should we test?

These questions help young entrepreneurs move from enthusiasm for technology towards a clearer entrepreneurial purpose.

Learn by doing

Entrepreneurship develops by acting, testing and adapting. Ideas change after feedback. Tests reveal weaknesses. New information may lead to a different solution.

Mentorship can support this process by encouraging young people to explore, create, question, experiment, reflect and improve. The aim is not to prevent mistakes, but to help participants learn from them and use that learning in the next step. Even a setback can reveal what needs to change.

Responsible AI needs reflection

AI entrepreneurship also involves responsibility. Privacy, fairness, transparency, inclusion and possible social effects should be considered from the beginning.

UNESCO’s AI Competency Framework for Students combines technical understanding with a human-centred mindset and AI ethics. The OECD AI Principles and European guidance on trustworthy AI likewise emphasise responsible, transparent, safe and accountable AI.

A mentor does not need to solve every ethical question. Sometimes the most useful role is to ask: Who could be affected? What could go wrong? Are we using AI responsibly?

Guide without taking over

The strongest mentoring relationships leave ownership with the young entrepreneur.

A mentor can guide, question, connect, challenge and encourage. But participants should remain responsible for their ideas and decisions. This balance helps them build confidence, independence and the ability to deal with uncertainty.

For YAIE, this is especially relevant. The project connects AI learning with entrepreneurship, practical application and project development. Mentorship can strengthen that journey by giving young people space to think, test, improve and move forward with greater confidence.

A promising AI idea needs more than technology. It needs curiosity, critical thinking, responsible choices and the confidence to turn an idea into action.

References

European Commission, Joint Research Centre. EntreComp: The Entrepreneurship Competence Framework.

OECD & European Commission. (2020). Policy Brief on Recent Developments in Youth Entrepreneurship.

UNESCO. (2024). AI Competency Framework for Students.

OECD. OECD AI Principles. Updated 2024.

European Commission, High-Level Expert Group on Artificial Intelligence. (2019). Ethics Guidelines for Trustworthy AI.