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Good practice Imported

National Academy for AI Instruction — AFT, Microsoft, OpenAI and Anthropic's $23M Teacher-Training Hub

United States of America · New York · See the United States of America profile · See the New York profile

Evidence: Descriptive / self-reported Top 70% 40/100 · Ask Evidence Copilot about this practice

The American Federation of Teachers, with the United Federation of Teachers, Microsoft, OpenAI and Anthropic, opened a $23M Manhattan training hub in Fall 2025 to teach AFT's 1.8M members to use AI, aiming for 400,000 educators and 7.2M+ students by 2030.

23 USD million
Total initiative funding
8 USD million
Direct funding component
2 USD million
OpenAI technical support and computing credits
1.8 million
AFT members eligible
400,000 educators
Five-year target: educators trained (by 2030)
7.2 million students
Five-year target: students reached (by 2030)
National Academy for AI Instruction — AFT, Microsoft, OpenAI and Anthropic's $23M Teacher-Training Hub

Details

Maturity
Pilot
Promoter
American Federation of Teachers (AFT) & United Federation of Teachers (UFT)
Period
2025-2030
Keywords
K-12 education, teacher professional development, edtech

Context

In Fall 2025, the American Federation of Teachers (AFT) opened the National Academy for AI Instruction, a physical training hub in Manhattan built with the United Federation of Teachers (UFT), Microsoft, OpenAI and Anthropic.

Objectives

Teach K-12 educators to use AI tools 'wisely, safely and ethically' (AFT president Randi Weingarten), starting with AFT's 1.8 million members, with a five-year goal of training roughly 400,000 educators — about 10% of the U.S. teaching workforce — reaching more than 7.2 million students.

Activities

The $23 million initiative — including $8 million in direct funding plus $2 million in technical support and computing credits from OpenAI — offers in-person workshops, online courses, credential pathways and continuing-education credits. AFT plans to expand the model into regional hubs by 2030, treating the Manhattan site as an 'innovation lab' that refines curriculum using feedback from participating classrooms.

Conclusions

As of this pilot's first cohort, no independent evaluation of instructional or student-learning outcomes has been published, and public announcements do not detail specific data-privacy safeguards, bias-audit procedures or independent oversight of the vendor partnerships — a gap consistent with the program's early stage rather than evidence of harm.

Implementation
Indicative cost
Very high (> €5M) — $23 million total initiative cost, comprising $8 million in direct funding plus $2 million in OpenAI technical support and computing credits, alongside in-kind support from Microsoft and Anthropic.
Time to results
Long (> 3 years) — Opened Fall 2025; five-year goal (through 2030) of training about 400,000 educators and expanding into regional hubs.
Staffing & skills
American Federation of Teachers (AFT), United Federation of Teachers (UFT), Microsoft (lead partner), OpenAI (founding partner), Anthropic (partner)

Conditions for success

  • $23 million in committed funding (including $8 million direct funding and $2 million in OpenAI technical support/computing credits)
  • The physical Manhattan hub treated as an 'innovation lab' refining curriculum using classroom feedback, ahead of planned regional-hub expansion by 2030

Common failure modes

  • No independent evaluation of instructional or student-learning outcomes has been published yet
  • Public announcements do not detail data-privacy safeguards, bias-audit procedures, or independent oversight of the vendor partnerships

Commonly funded by

Philanthropic / foundation funding

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Data sources

Where this practice's information was retrieved from, and when.

Attachments

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