This week's theme: The strongest case against fast AI adoption arrived in two forms. On Tuesday, AFT President Randi Weingarten unveiled a 10-Point Plan calling for screen bans in early grades and an end to student-facing AI in elementary schools. A few days earlier, Stanford released a research review finding limited evidence behind the most common AI classroom claims. Meanwhile, states kept legislating, Ohio's district AI policy deadline looms five weeks out, NSF's $11M summer teacher training rolls into six states next month, and Securly opened the door for parents to see exactly how their kids use AI on school devices. The week reads like two storylines: the field's strongest pushback voices got organized, and the building never stopped.
AFT President Unveils 10-Point Plan Calling for Screen Bans and AI Limits
On May 27, AFT President Randi Weingarten delivered a major address at the National Press Club introducing "Devices Down, Eyes Up, Hands-On: 10 Points to Boost Teaching and Learning in the AI Era." The plan calls for a screen ban including online assessments for students in pre-K through second grade, an immediate end to student-facing AI in elementary schools, a total ban on so-called "social companion" chatbots for students under 16, a binding agreement between K-12 schools and any provider offering AI-driven services, and a new "Big Tech tax" to fund teacher training and school technology infrastructure. The 1.8 million-member union is the largest education labor voice yet to publish a specific framework for restricting student-facing AI by grade band.
Why it matters: Districts now have a concrete framework to react to, not just abstract concerns. The grade-band specificity is what makes this different from earlier union statements: a board member, a curriculum director, or a building principal can read the 10 points and immediately ask whether their current AI posture aligns or diverges. Even districts that disagree with the plan are better off knowing where the gaps are before a parent or a teacher brings the AFT framework into a board meeting. Worth a 30-minute leadership conversation in June.
Stanford Report Finds Limited Evidence Behind AI Classroom Tools
Stanford education experts released a major review this month titled "The Evidence Base on AI in K-12: A 2026 Review." The team scanned more than 800 academic studies (with the underlying research repository now past 1,100 papers) and identified only 20 causal studies that rigorously measured how AI tools actually affect student outcomes. A central finding: AI can improve student performance while in use, but those gains tend to fade once the technology is removed. The report does note real teacher-time savings, with some tools reducing grading, lesson planning, and feedback time by as much as 30 percent. The authors call for an evidence-led approach to policy, procurement, and classroom implementation rather than tool-availability-led decisions.
Why it matters: The Stanford review is the cleanest research-side counterweight to vendor claims that districts have had in two years. Procurement teams should bring it to the next AI-tool conversation and ask three questions of any vendor: What is the causal evidence for your product, not the testimonial set. What happens to student gains when access ends. What teacher-time savings are documented, and how. The answers separate tools worth piloting from tools worth deferring.
California Updates AI Guidance for TK-12 Schools
The California Department of Education updated its TK-12 AI guidance with stronger expectations around data privacy, academic integrity, equity, and human-centered use. Notably, CDE explicitly discourages blanket bans on AI use, urging districts to define acceptable and unacceptable uses precisely and to revisit existing academic integrity policies in light of generative tools. The California AI in Education Working Group met May 11, with statewide recommendations addressing data privacy, academic integrity, educator support, and instructional practices that prioritize equity and human-centered learning. The guidance is advisory, not mandatory, and is designed to support local educational agency decisions.
Why it matters: CDE's explicit pushback on blanket AI bans is the most direct state-level rebuttal to the AFT framework released the same week. The two documents do not contradict each other on every point, but the contrast is real: CDE wants districts to define use; AFT wants districts to define non-use. Both can be true. The practical move for any district is to read the two together, identify the points where they agree (privacy, transparency, human oversight), and use those as the floor of the local policy regardless of which framework the local board leans toward.
Ohio Districts Face July 1 Deadline to Adopt Formal AI Policy
By July 1, 2026, every traditional Ohio public school district, community school, and STEM school must adopt a formal policy on the use of artificial intelligence. The Ohio Department of Education and Workforce has published model policy language for districts to adapt. The Ohio deadline is the first hard-date statewide AI policy requirement in the country, and it lands less than five weeks from this newsletter. Districts that have not yet brought a draft to their board are now on a real timeline.
Why it matters: Even districts outside Ohio benefit from watching how the Ohio deadline plays out. The Ohio model policy is publicly available and reflects months of legislative drafting work; any district nationwide can use it as a starting point or as a comparison against their own draft. The harder lesson is the calendar one: states are starting to move from suggested guidance to mandated deadlines, and a district that gets a head start now is not building in panic six months from now.
Securly Opens Parent Visibility Into Student AI Use on School Devices
Securly, the K-12 digital safety platform serving more than 20 million students across 26,000 schools, launched Parent AI View inside its Securly Home app. The tool gives parents direct visibility into how their children use AI on school-issued devices both during and after school hours, including triggered alerts when AI use raises safety or wellness concerns. Securly positions the launch as a partnership model: districts opt to extend transparency to families rather than treating AI monitoring as a closed administrative tool. The product lands as state legislatures introduced more than 50 AI-related bills targeting K-12 classrooms this session, several of which include parent notification requirements.
Why it matters: Parent AI View is the first major vendor product built around the answer that most district AI policy drafts now require: when a parent asks what AI their child interacts with at school, the district must be able to say. Even districts that do not use Securly should treat the launch as a forcing question: can your current toolkit produce a parent-facing AI usage summary on demand, and if not, what does that gap mean when a board member or a journalist asks for the data.
NSF's $11M AI Teacher Training Rolls Into Six States This Summer
The NSF-funded AI Professional Development Weeks initiative, run by the Computer Science Teachers Association, kicks off between June and August in Illinois, Indiana, Iowa, Minnesota, New Jersey, and South Carolina. The program will support 2,500 to 3,000 teachers in its first year, with downstream projected reach of up to 600,000 students. Teachers receive stipends for participation in 12 to 16 hours of school-year follow-up PD through their local CSTA chapters, and CSTA will conduct research on how teachers integrate AI concepts, tools, and ethical considerations into instruction when supported by intensive professional learning.
Why it matters: AI PD Weeks is the largest federally-funded K-12 AI teacher training program to enter delivery this summer, and it is intentionally paired with a research arm. Even districts outside the six launch states should watch the published research outputs over the next 12 months: the program is designed to produce evidence about which PD structures actually translate into classroom integration. That evidence will shape what every state expects from AI PD by the time the 2027-28 school year planning starts.
Pew Survey: 54% of Teens Now Use AI for Schoolwork, Parents Underestimate
A Pew Research Center survey of 1,458 U.S. teens ages 13 to 17 found that 54 percent now use AI chatbots to help with schoolwork, up sharply from prior years. About a quarter of teens say chatbots have been extremely or very helpful for completing their schoolwork. Parents consistently underestimate: only about half of parents say their teen uses chatbots, while 64 percent of teens themselves report using them, and close to three in ten parents say they are not sure either way. Demographic differences are notable: about 6 in 10 Black or Hispanic teens report using AI for schoolwork, compared to roughly half of White teens. Among teens, 59 percent think AI-assisted cheating happens at their school at least somewhat often.
Why it matters: The Pew numbers are now the single most cited dataset in district AI-policy meetings, and the parent-perception gap is what makes them politically combustible. Any AI policy or AUP rollout should be paired with a parent-facing communication that closes the visibility gap directly: a one-page explainer of what AI use looks like in your district, what is allowed, and how a parent can see what their student is doing. The districts that hand parents that page before the first board question lands fare better than the ones that wait.
FutureEd Releases 2026 State AI in Education Legislative Tracker
FutureEd's newly released 2026 State AI in Education Legislative Tracker is monitoring 52 bills across 25 states that specifically address artificial intelligence in classroom instruction. The legislative density signals where state-level pressure is concentrating: student data privacy, human oversight, graduation-readiness requirements, AI literacy mandates, and parent notification thresholds. Maryland passed two bills (MD SB 720 and MD HB 1057) requiring statewide AI guidance and AI literacy in workforce standards. New York's A 9190 restricts AI use in classrooms to ninth grade and above. Thirty-five states plus Puerto Rico now have some form of official AI guidance focused on privacy, equity, and responsible use.
Why it matters: The FutureEd tracker is the most useful single tool for any district that needs to know where its state is moving. The tracker lets a curriculum director or policy lead see which bills are advancing, which are stalled, and which are picking up momentum in adjacent states (which often previews what your state legislature will look at next). Spending 10 minutes a month inside the tracker is the cheapest possible early-warning system for AI-related compliance work.
Try This Week
Hold a 45-minute reading session with your leadership team. Pull two documents into the room: the AFT 10-Point Plan published Tuesday and the Stanford evidence review. Read the executive summaries together, then make a simple two-column list. Column one: where do AFT and Stanford agree about what your district should do. Column two: where do they push you in opposite directions. The agreements are your floor (parent transparency, written agreements with AI vendors, evidence-led procurement). The disagreements are the conversation you need to have on your own terms before someone else brings it to a board meeting. Schedule the conversation before the end of June. The Ohio July 1 deadline is a reminder that the timeline for these decisions is shrinking.
Until next time,
Dr. Janette Camacho
CEO, iTeachAI Academy
P.S. iTeachAI Academy now has classes in all 50 states, every one of them carrying the Companion above. State catalogs at iteachaiacademy.org.