In a message highlighting the growing gap between those who embrace AI and those who resist it, workers who don't learn to use AI will soon become obsolete.
“Luddites doesn't have an AI-powered world,” she said in an episode of Openai's official podcast on Friday.
Belsky, who joined Openai in 2024 to lead the education strategy, advocated early and structured exposure to AI in schools, warning that otherwise he would not be ready for the future of his job.
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“Alumni who leave the institution today need to know how to use AI in their daily lives,” she said. “And that's going to come both where they're applying for jobs and when they start a new job.”
Her comments follow extensive debate within academia, where the use of AI tools like ChatGPT is often labelled as fraud. But Belsky said that such framing misses the point. Rather than banning AI, they argued that institutions should teach students how to use it responsibly. Not as a “response machine,” but as a catalyst for deeper learning.
“AI is ultimately a tool,” Belsky said, likening it to a calculator once feared by mathematics teachers. “The most important thing in the field of education is how they use that tool. If students use AI as their answering machine, they won't learn. So part of the journey here is helping students and educators use AI in ways that expand their critical thinking and expand their creativity.”
To encourage such learning, Openai recently introduced a new feature called Study Mode in ChatGPT. This feature provides students with “guiding to adjust their responses to objective and skill levels” with the aim of helping them build a deeper understanding rather than regurgitating the generated responses. This is part of the broader drive to incorporate structured learning support directly into AI interfaces.
We believe that Belsky's core skills must be acquired by all students. She emphasized “Vibe Coding.” This has inspired people to use natural language and write code using AI. It's convenient, but it's not insane. The code generated by AI can be packed with errors, so users need technical knowledge and access to someone who can check their accuracy. Nevertheless, Belsky said that such a tool would ultimately make it easier for all students to use AI, as well as build it using it.
“Now, there are all sorts of tools that make coding easier with atmosphere coding,” she said.
However, some educators remain cautious in what is called the erosion of “productive struggle” rather than cheating. This idea refers to the challenges learners face when trying to understand new materials. Many people believe it is important to develop real capabilities. The concern is that by providing immediate answers, AI may deprive students of the difficult but rewarding process of learning through effort.
Openai and others responded to the criticism. During interaction between students and AI, research modes and other new tools aim to reintroduce intellectual “friction” at strategic points. Belsky said this approach can maintain cognitive tasks that are essential for long-term learning.
Tech companies beyond Openai are trying to rethink how students interact with AI. Kira Learning (a startup chaired by Andrew NG, founder of Google Brain) has been developing AI tools for classrooms since 2021. This year, we have launched a variety of agents to help non-professional teachers introduce computer science into lessons. Kira CEO Andre Pasinetti told Business Insider that it's about designing AI systems that encourage students to reflect, repetition and learning, rather than simply copying answers.
Meanwhile, Tyler Cowen, a professor of economics at George Mason University, said the university needs to reevaluate its overall approach to education.
“We've taken a lot of hands on not seeing 'how to stop people from cheating' and 'that we should teach and test',” he said in a recent podcast interview with Azem Azhar. “The whole system is set as an incentive to get good grades. That's a really outdated skill.”
As AI use grows in classrooms and boardrooms, the consensus among technology leaders appears to be no longer between users and non-users, but between those using AI wells and those who do not.
