Anthropic launched Claude for Teachers, offering free Pro access to K-12 teachers in the US, integrating curriculum standards and open-sourcing teaching skills to become an infrastructure standard. OpenAI counters with ChatGPT for Teachers and a teacher training academy. Both aim to capture the next generation of users through free educational tools.
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From OpenAI to Anthropic, US AI companies are replicating Google Chromebook's playbook with 'free' strategies to capture the next generation of users. But the core of this war isn't tools—it's who will define 'good AI teaching.'
The core of Claude for Teachers isn't free—it's the tech architecture. Anthropic integrated the Learning Commons curriculum knowledge graph, developed by the Chan Zuckerberg Initiative, covering academic standards across all 50 US states, including granular skill points and learning sequences. This means Claude can precisely prepare lessons down to a specific fifth-grade math concept in Texas.
Additionally, Claude for Teachers integrates Claude Code and Cowork, enabling automated tasks like grading quizzes at 4 PM daily and adjusting the next day's lesson plan. Anthropic also open-sourced two core Skills—lesson planning and lesson tiering—with code and evaluation frameworks on GitHub for any developer to use. This positioning goes beyond the product itself, aiming to become the infrastructure and standard-setter for educational AI.
AI giants are entering education at a rapid pace. In April 2025, Anthropic launched Claude for Education, partnering with Northeastern University, the London School of Economics, and others; the same month, OpenAI announced free ChatGPT Plus for North American college students. In July 2025, OpenAI partnered with the American Federation of Teachers to establish the National Academy for AI Instruction, targeting 400,000 teachers trained in five years, with Anthropic and Microsoft also contributing funding.
In 2026, the front extended to K-12: OpenAI's ChatGPT for Teachers coverage extends to 2028, Google integrated Gemini into Classroom and Docs, and Anthropic's Claude for Teachers launched in July, with a commitment of CAD 10 million for Canadian education research and localized pricing in India.
The logic behind these moves is clear: AI companies are replicating Google's strategy from a decade ago when it used Chromebooks to occupy schools—acquiring student users at low or no cost, cultivating usage habits, and converting them into paying users when they enter the workforce. Anthropic's education lead Drew Bent stated the goal is 'to explore AI-powered teaching models with universities,' making AI an integral part of the teaching process.
Chinese AI education moves are frequent: ByteDance pushed 'Doubao Aixue' to the core entry of the Doubao app in January 2026, Alibaba's Tongyi Qianwen launched 'One-Click Search Exam Papers,' and TAL's Jiuzhang large model showcased teacher-side 'Jiuzhang Lobster' and student-side 'Xiaojinglong.' QuestMobile data shows that as of Q3 2025, domestic AI education apps had over 120 million monthly active users.
But the US and China paths are starkly different. US companies 'empower teachers': Anthropic builds curriculum knowledge graphs, OpenAI builds teacher training academies, Google builds teaching workflow integration—they don't touch content itself, aiming to become the infrastructure of the education system. Chinese companies 'go direct to students': Xueersi, Doubao, Zuoyebang, etc., revolve around 'problem-solving,' with the core being paid conversion. TAL develops its own learning machines, large models, and content, forming a closed ecosystem.
The path difference stems from education systems: the US is decentralized with strong teacher autonomy; China revolves around unified exams, with students and parents' core need being score improvement. However, when all AI education products become problem-solving tools, the product actually used by students at scale is general-purpose large models like Doubao, leaving specialized AI education products in an awkward position.
This article is based on analysis reports from Geek Park. Product launches and partnership information about Anthropic and OpenAI are from public reports, but some data (e.g., domestic AI education MAU of 120 million) comes from QuestMobile, a third-party data source. Anthropic's open-source actions and strategic intent are author inferences and should be treated with caution.
AI entering education is not a technology issue but a power issue—whoever defines 'teaching and learning' holds the future. The US-China path difference will shape two distinct educational ecosystems.
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