When Daniel Baril spoke in Shanghai in 2025 about lifelong learning, he was not announcing a future trend. He was describing something that is already happening. Education, especially for adults, is drifting away from formal systems and quietly settling into everyday life, powered by generative AI.
Not long ago, learning followed a familiar pattern. You enrolled in a course, followed a syllabus, waited for feedback. Now, many people do something else entirely. They open a chat window, ask a question, test an idea, and move on. No schedule. No classroom. Just a problem that needs solving.
This is not theoretical. Millions of adults already use AI tools to learn new skills, clarify concepts, or improve their work. Some use them to practice writing. Others explore coding, health topics, or creative ideas. Much of this learning is spontaneous. It happens in short moments between tasks. And it works well enough that people keep coming back.
Education systems have noticed, but they have not caught up. Public institutions tend to move carefully, for good reasons. They worry about fairness, standards, and long-term impact. Private technology companies move faster. They can experiment, release updates, and scale globally with little friction. As a result, powerful learning tools are increasingly shaped outside the public education space.
Another change is less visible but just as important. Large AI platforms are starting to replace smaller education technologies. What once required separate tools for lessons, feedback, testing, and content creation now happens in one place. This makes learning easier for users, but it also concentrates influence. When one system does everything, questions about control and accountability become harder to ignore.
Learning itself feels different now. It is less linear. People jump between topics, revisit ideas later, and mix personal curiosity with professional needs. This flexibility helps many learners, especially adults with limited time. But it also requires new skills. Knowing how to question information and recognize weak answers matters more than ever.
Teachers and trainers are adapting too. Many are shifting toward coaching roles, helping learners think critically rather than simply delivering content. Technology can support this, but it cannot replace human judgment, especially when values, context, and inclusion are involved.
This is why UNESCO is pushing to rethink the right to education. Digital learning has expanded access, but it has also exposed gaps in connectivity, language support, and data protection. Generative AI speeds everything up, including the risks.
Conclusion
Generative AI is already part of how people learn. The real question is not whether it belongs in education, but how it should be guided. If learning is left entirely to market forces, inequality will grow. If public values shape the transition, AI can support learning that remains open, fair, and deeply human.
