AI firms borrow Big Tech’s classroom playbook, education reporter argues

Artificial intelligence is the latest technology to follow a well-worn path into American classrooms, and critics say the pattern looks strikingly familiar. According to New York Times education technology reporter Natasha Singer, author of the forthcoming book Coding Kids, AI companies are using the same influence-building strategies that tech firms have deployed in schools for the past fifteen years.

The pitch to educators is familiar: AI is where the jobs are, students who lack these skills will fall behind, and the companies behind the technology are happy to supply curriculum, tools, and training — often at no cost. Singer argues that the same framing drove the industry’s push for computer science and coding education, which secured a central role for tech companies in shaping what students learn.

The stakes are significant for major technology firms. Apple — whose devices have long been fixtures in K-12 classrooms and whose shares closed at $325.91, up 2.49% from a previous close of $318.00 with a market capitalization of roughly $4.60 trillion — built much of its education presence through discounted hardware and teacher resources. Even companies outside the consumer device market have cultivated educational pipelines; Block, the payments and financial services company behind Square and Cash App, reflects the broader industry trend of firms whose future workforce depends on digital skills training. Block shares closed at $79.40, down 1.00% from a prior close of $80.20, with a market cap of about $47.70 billion.

Singer’s core argument is that “pro bono” education programs are rarely purely philanthropic. By providing free curriculum and training, companies help define the skills students are taught, build brand familiarity with future customers and employees, and position their technologies as indispensable — all while shaping policy conversations about what schools should prioritize.

The current wave of AI adoption in schools raises new questions that the coding-era debates did not: how generative tools affect academic integrity, how student data is handled, and whether districts have the capacity to evaluate vendor claims. As with earlier tech-in-education efforts, the companies supplying the tools are also the parties most invested in their widespread adoption.

Singer’s book examines how the computer science education movement expanded from industry-backed advocacy into curriculum standards across the country, and draws parallels to how AI firms are now approaching school districts with free resources, teacher training, and ready-made lesson plans.

What to watch

• Publication of Singer’s Coding Kids and the coverage and policy debate it generates
• District-level decisions on AI curriculum partnerships and vendor contracts
• Upcoming earnings reports from Apple (AAPL), which may address education segment demand
• Regulatory scrutiny of AI tools in classrooms, including student data privacy rules

Source: original release.