AI & education
New York pauses student-facing AI
A pause for younger children is defensible while evidence is gathered. What it leaves open is where young people learn to use AI well, a question two 45-minute classes a year cannot answer.
Summary
The policy, effective for the 2026–27 school year, bars student-facing generative AI for children from 2-K to eighth grade, around two-thirds of the city's public school enrolment. Companion chatbots are prohibited in every grade. High school students get two 45-minute AI literacy modules a year, and up to 50,000 of them, around 5% of the school system, will join five supervised pilots. Teachers can still use AI for planning, with exceptions for assistive technology, multilingual learners and career-readiness programmes. A Technology in Schools Coalition will assess the impact and publish recommendations.
Our perspective
New York has paused student-facing generative AI for 600,000 children through eighth grade, roughly two-thirds of the school system, while it studies its effects. The rationale behind the policy, as Mayor Mamdani sets it out, is worth taking seriously. Children need teachers and human connection to learn and grow. They need to develop skills alongside their peers, build relationships with educators, and wrestle with difficult problems themselves. As State Senator Robert Jackson states, we should never confuse a machine's ability to produce an answer with a child's ability to arrive at one.
But a pause raises its own question: if access is limited, where do young people practise the technical and human skills needed to use it well?
The debate has too often become binary: AI is either good or bad. As a technology it is here and widely available, so the more important question is how young people learn to engage with it. On that front, New York's policy seems very light touch. Two 45-minute literacy sessions a year, alongside pilots reaching at most 50,000 students, around 5% of the school system, is limited preparation for young people who will encounter AI every day outside school, and enter workplaces where its use is already becoming commonplace.
A pause for younger students while evidence is gathered is understandable, and reflects lessons we are still learning about smartphones. But this is not an issue that we can leave paused indefinitely.
We would also argue that teaching AI as a standalone subject is not the answer. We don't teach computing only in computer science; we teach students to use it across disciplines. AI should be treated similarly, with its application looking different in History, Business, Mathematics, and Philosophy.
What young people need is not simply instruction in a tool, but a method for working with one: use AI to find and test information; properly verify sources; read the underlying evidence yourself; and then make the judgement independently.
The tool can search but the person must think.
That distinction is becoming one of the most important capabilities education can develop, and it cannot be taught in 90 minutes a year.
“There is something sacred in the struggle to understand.”
State Senator Robert Jackson · NYC Mayor's Office