Why AI Education Needs a Radical Rethink for the Future

The rise of artificial intelligence (AI) is challenging every sector, but perhaps none more so than education. As AI tools like ChatGPT and Gemini become ubiquitous, educators and technologists alike are grappling with how best to prepare the next generation for a world where rapid technological change is the only constant. At the forefront of this conversation is Stefania Druga, a research scientist at Google DeepMind, whose vision for AI education is as innovative as it is urgent.

Why Current Educational Models Are Falling Short

According to Druga, the way AI is being integrated into students’ lives is deeply flawed. “The way they’re using it right now, in my opinion, is really disappointing,” she told Business Insider. Tools designed to assist with homework or essay writing often foster over-reliance rather than critical thinking. Druga argues that this isn’t the fault of students but of the educational frameworks and technologies themselves.

For example, if an AI can effortlessly solve a test, Druga believes it’s the test—not the student—that needs to change. She advocates for assignments that promote creativity and problem-solving rather than rote memorization or formulaic responses. “We need to change how we teach and assess,” she said, emphasizing the importance of fostering engagement and curiosity in learners.

How AI Literacy Can Empower Students

Druga’s work with programs like Cognimates exemplifies how AI literacy can be a transformative tool for young learners. Developed as part of her master’s thesis at MIT, Cognimates encourages children to explore AI through hands-on projects, such as building games or programming robots. By doing so, children not only learn technical skills but also develop a deeper understanding of how AI operates and its potential applications.

“It’s about creating a sandbox or playground for kids to engage in the scientific process,” Druga explained. The platform is designed to be Socratic, posing questions to guide users rather than simply providing answers. This approach fosters a sense of ownership and pride in students, who often become deeply attached to their projects. As Druga noted, “They’re like, ‘It’s my project. I don’t want AI to do it for me.’”

The Future of Coding in an AI-Driven World

One of the most hotly debated topics in education today is whether coding skills remain relevant in an era where AI can write significant portions of software. Both Druga and other tech leaders, like Microsoft’s Aparna Chennapragada, argue that coding is far from obsolete. Instead, its teaching methods need a refresh.

“Coding isn’t dead,” Druga stated emphatically. She views coding not just as a technical skill but as a way of thinking—a mental framework that teaches adaptability and problem-solving. However, she cautioned that traditional computer science education, which often focuses on preparing students for specific tech jobs, may no longer be sufficient. As she put it, “The technology is changing so fast that if your entire value proposition is to prepare people for specific stacks or jobs, that’s going to become obsolete very quickly.”

Instead, Druga and others advocate for teaching transferable skills that enable students to navigate ambiguity and adapt to new challenges. This, they argue, is the only way to prepare for a labor market that is being reshaped by AI.

Rethinking the Role of AI in Education

Druga’s vision for AI in education goes beyond simply integrating technology into classrooms. She envisions a future where AI tools are designed to support co-creation rather than simply providing answers. This approach not only preserves critical thinking but also empowers students to see AI as a partner in their learning journey.

For instance, Druga highlighted the potential for young people to create their own AI models, tailored to their unique needs and interests. “How do we allow young people to create their own GPTs?” she asked, suggesting that such initiatives could democratize access to AI and inspire a new generation of innovators.

Preparing for a Rapidly Changing Workforce

As AI continues to transform industries, the future of work is becoming increasingly uncertain. Druga believes that the key to navigating this uncertainty lies in equipping students with the skills to identify problems and build solutions independently. “I know personally at least 20 people who are 19 and went from a prototype to having a fully financially sustainable product in a couple of months,” she told Business Insider. These examples illustrate the potential for young innovators to bypass traditional career paths and create their own opportunities.

While traditional tech jobs may become less viable, Druga argues that this isn’t necessarily a bad thing. Instead, it’s an opportunity to rethink what education—and work—should look like in the age of AI. “The goal is to make sure that everyone feels like this is for me,” she said, emphasizing the importance of inclusivity and accessibility in AI education.

As AI reshapes the world, educators and technologists must rise to the challenge of preparing students for a future defined by change. By fostering critical thinking, creativity, and adaptability, we can ensure that the next generation is not only ready to navigate this new landscape but to thrive within it.