Google is facing a familiar accusation, and it's one the company has struggled to shake for years. New York City mayor Zohran Mamdani and former FTC chair Lina Khan have publicly charged Google with acting as an unregulated monopoly in its dispute over AI tools in schools. The complaint is serious, and it gets at something we've been watching closely: the concentration of power in AI infrastructure. When a single company controls both the platform students learn on and the AI they learn from, competition doesn't just suffer, it becomes an afterthought. This isn't an abstract antitrust debate. It's a practical question about who gets to shape the next generation of tools for education and productivity.
The irony is that Google has spent years positioning itself as a partner to schools, offering free tools and cloud storage. But as AI becomes central to how students research, write, and solve problems, the stakes shift. The same company that provides the operating system for millions of classroom Chromebooks now wants to be the default AI provider in those same environments. That's not a partnership, it's a lock-in. And it mirrors a pattern we see elsewhere. Consider how Netflix’s new AI tab turns your mood into a recommendation, giving a single platform outsized influence over what you watch. Or how AI Takes Over Your Tasks, Opening Space for What Matters raises the question of who decides what work gets automated and who gets left behind. In each case, the technology is powerful, but the governance around it is weak.
Our take is straightforward: Mamdani and Khan are right to raise the alarm, but the solution can't stop at accusations. The real question for educators, developers, and policymakers is whether they want a single vendor controlling the AI layer in classrooms. Google's tools are capable, but capability is not the same as fairness. When a district adopts Google's AI for lesson planning, grading, or student assessments, it's not just adopting a product, it's adopting a set of priorities about how data flows, who owns the model, and what alternatives are squeezed out. That's a lot of trust to place in one company, especially one that has already been fined billions by regulators in Europe for anticompetitive practices.
What makes this moment different is that the technology is still young. Schools have a narrow window to demand interoperability, open standards, and the ability to switch providers without rebuilding their entire workflow. Google's LiteRT Tensor API brings flexible ML model building to on-device, which shows the company can build flexible tools when it wants to. The question is whether it will extend that same flexibility to schools, or whether it will use its position to wall off the ecosystem. The specific detail to watch is how Google responds to the political pressure: with concessions on data portability and model neutrality, or with a defense of its current approach. That answer will tell us whether this is a genuine debate about monopoly power or just another regulatory sideshow.