A commentary piece in the New Hampshire Bulletin is calling on schools to treat artificial intelligence the way America treated Sputnik. The author, citing President John F. Kennedy’s 1962 Rice University speech that committed the United States to the moon by the end of the decade, argues that AI’s arrival is the most disruptive moment in education since the printing press and that public schools have to respond not by jamming AI into every classroom but by standing up a new, standardized high school course on futurology, according to commentary published in the New Hampshire Bulletin.

The piece is opinion, not breaking news. But it captures a debate already churning through New Hampshire school boards, parent groups, and the state’s higher education leaders, who are watching freshman writing samples, math homework, and college applications change in real time as students grow up with chatbots in their pockets.

The Space Race framing

The commentary opens with the image of Kennedy at Rice University, telling a stadium full of professors, students, politicians, and scientists that the country would put a man on the moon by the end of the 1960s. The audience accepted the dare, the author argues, because they understood it would force out the best in them.

The line from that speech that the author lifts is not the famous one about doing things “not because they are easy, but because they are hard.” It is a quieter one: “The greater our knowledge increases, the greater our ignorance unfolds.” Applied to AI, the author writes, it captures the central tension of the moment. We have the technical knowledge to build and deploy generative AI systems. We do not have the wisdom to know whether we should, in what contexts, with what guardrails, and at what cost to human development.

“With the advent of the most disruptive invention since the printing press, AI puts education in the same position as America during the Space Race,” the author writes.

The Space Race framing matters because it implies a particular kind of response. It is not a call to muddle through with whatever individual teachers happen to be comfortable with. It is a call for deliberate national investment, curriculum design, and shared ambition. The implicit claim is that AI is a generational test of whether the country can still organize itself around a long-term educational project.

Why “AI in every class” and “no AI ever” both fail

The commentary lays out the two extreme positions that dominate most school district debates over AI right now.

On one side are technology advocates who want generative AI tools mainstreamed into nearly every course, on the theory that the only way to guarantee strong learning outcomes is to keep students continuously exposed to the cutting edge. On the other side are abstinence-only advocates who see almost no upside for AI in K-12 learning and treat any classroom use of the tools as cheating or as a shortcut around real cognition.

The author argues that each side is half right, and that the honest middle ground is the more demanding answer. AI is not going away. Students will graduate into workplaces, professions, and civic spaces where these tools are already woven into daily life. Pretending otherwise produces graduates who are functionally illiterate in their own moment. But overuse of AI in early learning, the author warns, leads to “cognitive offloading,” where students stop developing the foundational skills that AI is supposed to amplify.

This is one of the hottest research questions in the field right now. Recent studies have looked at what happens when students use large language models to write essays or solve problems they have not first attempted on their own. The early evidence is unflattering: students retain less, transfer less to new problems, and grow less confident in their independent judgment when AI does the cognitive heavy lifting up front. That is the cognitive offloading the commentary is warning about.

The proposal is a middle path. AI gets a place in the curriculum, but a deliberate, bounded one. And the broader response is to double down on the foundational skills that AI cannot replace and that AI use can actually erode if it goes unchecked: clear writing, structured reasoning, source evaluation, mathematical fluency, ethical judgment, and the ability to ask better questions.

What a “futurology” course would actually cover

The author’s central proposal is a standardized high school course on futurology, an interdisciplinary class that blends literature, computer science, philosophy, and history to give students the intellectual tools for living and working in an AI-mediated world.

The piece treats the course less as a single subject and more as a connective layer between subjects students are already taking. The literature dimension is about how to read carefully and write clearly in a world where machines can produce fluent prose on demand. The computer science dimension is about understanding how the tools work under the hood, what they can and cannot do, and how to interrogate their outputs rather than accept them. The philosophy dimension is about ethics, epistemology, and the questions humans have always asked about knowledge, agency, and responsibility, and that AI is now reopening. The history dimension is about pattern recognition across technological transitions, from the printing press and the telegraph to the personal computer and the smartphone.

The aim is not to predict the future. It is to prepare young people to think clearly inside one they cannot fully foresee.

For New Hampshire, where local control over curriculum is fiercely defended and where state-level mandates are often viewed with skepticism, a standardized futurology course would be a significant departure. The state has spent much of this legislative session arguing over what high schoolers should and should not be exposed to, from the end-of-session education bill debates around divisive concepts and book removals to the push to expand school choice through HB1268 and related EFA expansions. Adding a futurology course on top of those fights would be politically heavy lifting. But the commentary’s underlying argument is that doing nothing has its own cost, in the form of a generation that grows up technologically marinated but intellectually thinner.

Where New Hampshire stands now

New Hampshire’s school districts are largely improvising. A few districts have written AI use policies for students. Others have left it to individual teachers. The University System of New Hampshire and the state’s community colleges have rolled out their own guidance for faculty, with widely varying degrees of formality. Charter schools and EFA-funded private schools each operate on their own rules. Parents, in some cases, have raised concerns at school board meetings about both AI-enabled cheating and AI-driven surveillance.

None of that is a curriculum. It is a patchwork. And the commentary’s argument is that a patchwork is not equal to the challenge.

The author is not pretending the proposal is easy. Building a standardized course at the state level requires teacher training, materials development, assessment design, and political consensus, none of which is plentiful in 2026. But the commentary frames the project as exactly the kind of large, generational lift that the country once organized itself to take on, and argues that schools, not just technology companies, ought to be in the lead.

For New Hampshire policymakers, who are already debating the right balance between standards, local control, and parental rights, the commentary is a useful provocation. The question it raises is not whether AI belongs in education. It does. The question is whether the state’s leaders are willing to design a deliberate response, or whether they will leave the field to whichever tool vendor markets best to whichever district has the smallest curriculum committee. As the education system continues to wrestle with workforce pressures and the challenge of attracting and retaining teachers, the political room for a major new curriculum lift is narrow. But the cost of inaction, the commentary suggests, is steeper than it looks.

FAQ

What is the commentary actually proposing?

The commentary proposes that high schools in New Hampshire and across the country adopt a standardized course on futurology that blends literature, computer science, philosophy, and history. The goal is to give students the foundational skills and the judgment to live and work in a world where AI is everywhere, without offloading their own thinking onto the tools.

Is this an official New Hampshire policy proposal?

No. The piece is an opinion commentary published by the New Hampshire Bulletin. It does not represent a formal bill, a state Department of Education plan, or a school district policy. It is the author's argument about how schools should respond to the rise of AI.

What is cognitive offloading?

Cognitive offloading is when a person hands a thinking task over to an external tool, like a calculator, a search engine, or a generative AI system. Some offloading is healthy and frees up mental capacity for higher-level work. Overuse, especially in early learning, can erode the foundational skills the offloading is supposed to support, because the student never builds the underlying ability in the first place.

How are New Hampshire schools handling AI today?

Largely on a district-by-district and teacher-by-teacher basis. Some districts have adopted AI use policies for students. Many have not. Higher education institutions, including the University System of New Hampshire and the state's community colleges, have issued varying guidance for faculty. There is no statewide curriculum standard for AI literacy in K-12 today.

Is this a real Space Race moment, or a rhetorical flourish?

That is part of the debate. The Space Race comparison is doing two things. It is signaling the scale of the challenge AI poses to schools, and it is implying that the response should be ambitious, coordinated, and publicly led, rather than left to private market forces. Whether listeners buy that framing will depend on how they view the urgency of the AI moment and the proper role of public education in responding to it.

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