Anthropic Trains 100,000 Teachers to Use Claude AI
Anthropic has partnered with Teach For All to launch a global initiative bringing Claude AI training to over 100,000 educators, helping under-resourced classrooms build custom learning tools.
Anthropic is launching the AI Literacy & Creator Collective (LCC) alongside Teach For All, a global network spanning 63 countries. The initiative aims to provide AI fluency training to more than 100,000 teachers and alumni who collectively serve over 1.5 million students. Through this program, educators will transition from passive users to active co-creators of educational technology, using Anthropic's Claude model to build tailored classroom solutions.
The LCC operates via three programs. The AI Fluency Learning Series features six live episodes, drawing over 530 educators in November 2025. Claude Connect serves as a hub for more than 1,000 educators across over 60 countries to share prompts. Finally, Claude Lab provides Claude Pro access to selected teachers, receiving over 200 applications within four days of its announcement. Early successes include a teacher in Liberia building a climate curriculum using Claude Artifacts, a Bangladesh educator designing a gamified math app for Grade 6 and 7 students struggling with numeracy, and an Argentine teacher creating interactive digital workspaces.
This initiative expands Anthropic's global footprint, which includes a national pilot in Iceland, a partnership with ALX in Rwanda, and participation in the White House Taskforce on AI Education. Beyond classrooms, Anthropic is launching a research preview of its Model Hardware Standard (MHS) for physical devices. The company is offering Claude at no cost to 10,000 scientists globally. Under this offer, verified principal investigators receive a free Claude Team subscription and can add researchers to Standard seats for free, or Premium seats for $15 per month for up to a year.
To address the broader societal implications of these technologies, Anthropic is also establishing a $5 million grant program to fund independent research into how AI affects human wellbeing. For developers and educators alike, these initiatives signal a shift toward decentralized, user-driven AI development. Instead of relying on generic software, practitioners can now leverage advanced models to build hyper-localized tools that address specific community needs.
This is our own summary of reporting by Anthropic
