K–12 AI Readiness
in New York

District-Led Guidance, State Bills Pending, No NYSED Statewide Framework

New York’s K–12 AI policy posture is distinctive among the large states. The New York State Education Department (NYSED) has discussed AI at the Board of Regents level, most notably during its March 2024 meeting, but had not issued statewide AI guidance as of late 2025 according to Ballotpedia’s state-tracking inventory. By contrast, New York City Public Schools (NYCPS) — the largest school district in the United States with approximately 900,000 K–12 students — released preliminary AI guidance on March 24, 2026 under Chancellor Kamar H. Samuels, with public feedback accepted through May 8, 2026 and a full AI Playbook planned for June 2026. The NYCPS guidance is written by the district’s Central AI Task Force (76 members across divisions) and informed by an external AI Advisory Council that includes ed-tech representatives from Google, OpenAI, and other companies.

On the legislative track, three 2025–2026 session bills are active. Assembly Bill A6972 (Solages) would create an AI Working Group within NYSED, develop statewide guidance, and require a model policy for districts by July 1, 2026. Assembly Bill A7029 (Solages) would direct the Commissioner of Education to make recommendations to the Board of Regents regarding AI literacy curriculum at elementary, junior high, and senior high levels. Assembly Bill A9190 (Carroll, introduced November 3, 2025) would prohibit most AI use in classrooms prior to ninth grade, with narrow exceptions for diagnostic purposes and explicit instructional interventions for students with disabilities. None have been enacted. The NYC-led approach, the legislative track, and the absence of a unified NYSED framework mean New York districts currently navigate AI literacy implementation under multiple overlapping frameworks.

What New York’s Frameworks Cover, and Where They Stop

The NYCPS preliminary guidance, issued March 24, 2026, establishes the framework NYC schools will use to govern AI integration, starting with approved and restricted uses and data privacy requirements. Every AI tool that processes student data must complete the district’s Enterprise Request Management Application (ERMA) compliance review before use. In December 2024, NYCPS added AI-specific standards to the ERMA process requiring vendors to disclose AI capabilities, prohibit use of student data to train AI models, and meet transparency requirements so tools can be explained to families and students. The ERMA process currently reviews tools for data privacy and security but does not yet evaluate algorithmic bias, equity impact, or instructional effectiveness; NYCPS is building expanded evaluation capacity for the June 2026 Playbook.

NYCPS guidance is explicitly structured as a living document developed under continuous stakeholder collaboration, with differentiated AI guidance under development for K–5, 6–8, and 9–12 grade levels drawing on the American Academy of Pediatrics’ 2026 research on screen time and the Brookings Institution’s 2025 global study. Outside NYC, the state’s other 696 districts operate without a unified state framework. Many are adopting variations of district-level policies, such as the one used by Northport-East Northport Union Free School District (March 2025 adoption). Across the Big Five non-BOCES city districts (New York City, Buffalo, Rochester, Syracuse, Yonkers) and the 37 BOCES regions serving the remaining districts, policy coordination is happening district-by-district rather than through a single NYSED template.

The ERMA Compliance Precedent

The NYCPS ERMA process, originally a general technology vetting protocol, was expanded in December 2024 to include AI-specific vendor standards: capability disclosure, prohibition on training AI models with student data, and transparency requirements explainable to families. The ERMA framework provides a working operational model for other districts in the state. Whether a future NYSED framework (via A6972 or successor) adopts or builds on ERMA is a policy question the Board of Regents has not yet resolved.

The Big Five City District Structure

New York’s Big Five city school districts (NYC, Buffalo, Rochester, Syracuse, Yonkers) are governed under their respective municipalities rather than through independent school boards, and are not members of BOCES. The Big Five collectively enroll a substantial share of the state’s high-poverty, high-English-learner, and high-need student populations. NYC alone serves about a third of the state’s K–12 students. For a statewide AI literacy framework to be operationally effective, it would need to address the distinct governance position of the Big Five in addition to the BOCES-connected districts that make up the remainder of the state.

Empire AI and New York’s AI Workforce Anchor

New York’s K–12 AI literacy conversation is happening alongside one of the largest state-led AI infrastructure investments in the country. The Empire AI Consortium, launched by Governor Kathy Hochul as part of the FY25 budget and built on a $275 million state capital grant, is housed at the State University of New York at Buffalo. Total committed funding exceeds $500 million across public and private sources. The consortium includes ten member institutions: SUNY, CUNY, Columbia University, Cornell University, New York University, Rensselaer Polytechnic Institute, the Flatiron Institute, the University of Rochester, the Rochester Institute of Technology, and the Icahn School of Medicine at Mount Sinai. In her 2026 State of the State address, Governor Hochul proposed Empire AI Beta, an 11-fold scale expansion intended to produce what state officials describe as the world’s most advanced academic supercomputer.

Additional New York AI workforce anchors include Micron Technology’s $100 billion semiconductor megafab in Central New York (Clay / Syracuse area), GlobalFoundries’ $11.6 billion chip manufacturing expansion in Saratoga County, Cornell Tech on Roosevelt Island (which has spun out more than 100 startups with a combined valuation of $695 million), NYU’s Global AI Frontier Lab (established May 2024), Columbia University’s Data Science Institute, and the NYC AI Collective (more than 70 AI startups). NYC’s share of U.S. AI venture capital funding grew substantially between 2018 and 2022. The state’s private AI sector includes headquartered or major-office presences for OpenAI, Anthropic, IBM, and the emerging startup ecosystem along the Flatiron and Brooklyn corridors.

New York’s K–12 system is composed of 697 school districts as of recent counts, organized around 37 BOCES regions (Boards of Cooperative Educational Services) serving all but the Big Five non-BOCES city districts and a small number of other independent districts. Total public K–12 enrollment is approximately 2.5 million students across roughly 4,813 schools. Enrollment is heavily concentrated in the New York City metropolitan area, where NYC Public Schools alone enrolls approximately 900,000 students, making it the largest school district in the United States. The other four non-BOCES Big Five districts are Buffalo (approximately 30,000 students), Rochester (approximately 22,000), Syracuse (approximately 19,000), and Yonkers (approximately 27,000). Outside the Big Five, Long Island, the Hudson Valley, the Capital District, the Finger Lakes, Central New York, Western New York, and the North Country regions each contain dozens to hundreds of independent school districts coordinated through BOCES.

Federal Funding Available to New York Districts

New York districts operate under the standard federal ESSA funding framework alongside the state’s Foundation Aid formula and the BOCES funding system. Three federal funding streams apply to AI literacy professional development, with a fourth category available through the state BOCES aid mechanism for member districts.

New York districts have unusually developed funding infrastructure for shared professional development through the BOCES system. Outside NYC and the other Big Five city districts, most of the state’s K–12 districts access shared services through their regional BOCES. AI literacy professional development structured as a CoSer could be funded through a combination of federal Title categories and state BOCES aid. NYC and the other Big Five districts, which do not access BOCES, rely on federal and city or state funding streams alone.

Implications for New York Districts

1. 1. The NYCPS Playbook due June 2026 is the most consequential K–12 AI document in the state NYCPS’s preliminary guidance published March 24, 2026 and the full Playbook due June 2026 will set the operational standard for a district serving about a third of New York’s K–12 students. The Playbook will include the public inventory of approved AI tools, differentiated grade-level guidance (K–5, 6–8, 9–12), and resolved positions on student use, academic integrity, and equity. For the rest of the state, NYCPS’s decisions function as a de facto reference point even in the absence of NYSED statewide guidance.
2. 2. The three active legislative bills represent divergent state-level futures A6972 would build a state framework through an NYSED working group and model policy. A7029 would direct the Commissioner of Education toward an AI literacy curriculum recommendation to the Board of Regents. A9190 would prohibit most AI use in classrooms prior to ninth grade. The three bills reflect substantially different approaches to the underlying question of what role AI should play in K–12 education. Whichever pathway advances will shape the state framework districts eventually operate under.
3. 3. The BOCES infrastructure gives non-Big Five districts a shared services advantage The 37 BOCES regions already coordinate professional development, curriculum resources, and shared services for the state’s non-Big Five districts. For AI literacy professional development, a BOCES CoSer approach could pool resources across member districts and draw state BOCES aid in addition to federal Title funding. Districts that build AI literacy capacity through their regional BOCES during the current advisory window will have scalable infrastructure in place when a state framework arrives.
4. 4. Federal Title IV-A, Title II-A, Title I, and BOCES aid are the funding pathways New York districts have four active funding instruments for AI-inclusive educator PD. Three are familiar federal lines defined in ESSA. The fourth is the state BOCES aid framework, which is available only to the state’s non-Big Five districts but which covers the large majority of the state’s roughly 697 districts. Procurement conversations in New York can reference the federal categories and the BOCES CoSer mechanism in the same justification for BOCES-member districts.
5. 5. The workforce case spans upstate semiconductor operations and downstate AI New York’s K–12 students are preparing for an economy that includes Micron’s $100 billion semiconductor megafab in Central New York, GlobalFoundries’ $11.6 billion Saratoga expansion, Empire AI’s university research consortium centered at SUNY Buffalo, and the NYC private AI cluster of OpenAI, Anthropic, IBM, and more than seventy startups. The K–12 question is whether the educator preparation layer scales to meet that demand for students both upstate and downstate. The answer depends substantially on whether the state framework that emerges in 2026 or 2027 addresses educator credentialing at the scale New York’s 697 districts would require.