The National Academy for AI Instruction—a $23 million partnership between the American Federation of Teachers and AI developers Anthropic, Microsoft, and OpenAI—is training 400,000 teachers on more sophisticated AI use. The goal: tools that don’t just create lesson plans but can stress-test content for gaps and improve teaching approaches over time.

• Investment: $23 million over 5 years to train 400,000 teachers
• Partners: AFT working with Anthropic, Microsoft, and OpenAI
• Shift: From basic lesson planning to “agentic” multi-step reasoning
• Teacher-led: Teachers training other teachers with limited developer support
• Usage growth: Teacher AI use nearly doubled from 2024 to 2025

“We’re in this race for teachers to get this knowledge. This will become the most disruptive technology in our time. There is a real demand from educators to learn so that they are in the driver’s seat for AI.” — Randi Weingarten, AFT President

The Honest Take

The shift from “using AI for lesson plans” to “building agentic AI tools” is significant. Teachers aren’t just consumers—they’re becoming tool creators. This matters because it means classroom needs will shape AI capabilities, rather than tech companies dictating from above.

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What “Agentic” AI Means for Teachers

Training Examples

Agentic AI tools allow teachers to use their professional judgment to narrow the scope of information the AI uses—making it less likely to hallucinate or provide superficial responses. One teacher is developing an AI agent to help brainstorm faster alternative approaches when lessons or interventions aren’t working.

• Stress-testing: AI can identify content gaps and confusing wording in lessons
• Reasoning capability: Multi-step tasks that require judgment, not just generation
• Real-time problem-solving: Brainstorming alternatives when lessons fail
• Reduced hallucination: Teachers narrow scope to improve accuracy
• Professional judgment: Teachers remain in control of what AI accesses

The Honest Take

The key innovation here is teacher control over AI scope. By limiting what information the AI can draw from, teachers reduce hallucination risk while keeping their expertise central. This is very different from “AI will replace teachers”—it’s “AI as a sophisticated assistant that respects professional judgment.”

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The Training Gap

Current Reality

Despite the sophisticated training available, most teachers still use AI for surface-level tasks. A national survey by the EdWeek Research Center found that 6 in 10 teachers use AI—but most often for basic lesson plans and administrative work rather than instructional improvement.

• Usage rate: 60% of teachers report using AI in their practice
• Use cases: Most common: basic lesson plans and administrative tasks
• Untapped potential: Instructional improvement remains rare
• Training need: Sophisticated use requires more than basic tutorials

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NSF Invests $11M in AI Teacher Development

March 19, 2026

The U.S. National Science Foundation awarded $11 million to the Computer Science Teachers Association (CSTA) to expand AI professional development for K-12 teachers nationwide. The funding supports an executive order on “Advancing AI Education.”

• Funding: $11 million NSF grant to CSTA
• Target: K-12 teachers nationwide
• Government priority: Supports executive order on AI education
• Scale: Part of broader push for AI literacy in schools

What This Means for AI Education

Teachers are moving up the ladder. From basic lesson planning to building sophisticated AI agents, educators are becoming tool creators rather than just consumers. This shift matters for how AI integrates into classrooms.

Professional judgment stays central. The agentic AI approach keeps teachers in control of scope and context. AI supports expertise—it doesn’t replace it. This is the model that makes sense for education.

Training is catching up to potential. The gap between what AI can do and what most teachers use it for is narrowing—but it’s still wide. The $23 million AFT program and $11 million NSF grant signal investment in closing that gap.

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