The Washington Times reported in April 2026 that Holocaust education in the United States remains what researchers call a shifting and uneven mandate: 29 states require it, 6 encourage it, and 9 have nothing on the books at all. That unevenness matters in 2026 because the pressure to teach it is rising at the same moment other pressures are making it harder to do.
New Hampshire is the clearest example of the collision. The state passed a Holocaust education mandate in 2020, then passed a "divisive concepts" law in 2021 that restricts how certain historical injustices can be taught. Teachers there are now navigating both simultaneously. Iowa is advancing a bill that would add Holocaust instruction as a requirement starting in the 2026-27 school year, citing documented gaps in student knowledge. At the federal level, S.332, the Holocaust Education and Antisemitism Lessons Act, is active in the 119th Congress.
The pressure isn't coming from one direction. It's coming from several at once, and teachers in states with conflicting mandates have no clear guidance on how to reconcile them.
On June 10, MagicSchool released its inaugural "Districts Leading the Way: Class of 2026" report, recognizing nine U.S. school districts for intentional AI adoption that keeps teachers at the center. The named districts are Atlanta Public Schools (~50,000 students), Buffalo Public Schools (~29,000), Davis School District in Utah (~70,000), Denver Public Schools (~90,000), Hillsborough County Public Schools in Florida (224,000+), Horry County Schools in South Carolina, Northside ISD in San Antonio (~100,000), Pinellas County Schools in Florida, and Seattle Public Schools (~52,000). CEO Adeel Khan stated they are "setting the standard for how new technology should be introduced in schools."
The recognition itself is less important than what the nine districts have in common. None of them led with tools. Each one described a process: professional development tied to instructional design, teacher involvement before deployment, governance structures that preceded rollout, and a stated commitment to keeping teacher-student relationships intact. Buffalo Public Schools retrained instructional technology coaches specifically as instructional design partners, not help-desk operators. Denver distributed AI adoption responsibility across principals, curriculum specialists, and department directors rather than centralizing it in a tech office. If your district's AI plan is a tool list rather than a process description, these nine districts are showing you what's missing.
Rest of World reporter Ananya Bhattacharya documented in April 2026 that global edtech venture capital investment peaked at $16.7 billion in 2021 and had fallen to under $3 billion by 2025, per Tracxn data. New startup formations dropped from approximately 10,500 in 2020 to 645 in 2025. Byju's, once valued at $22 billion and the world's most valuable education startup, crumbled under a financial crisis and aggressive sales practices. Research firm HolonIQ, writing in February 2026, described the shift directly: "Investors concentrated capital in AI-enabled products, workforce-aligned platforms, and K-12 operations solutions that address cost or operational pressures." The market is not contracting uniformly. It is reallocating, away from consumer-facing and general K-12 tools, toward products with measurable outcomes and institutional buyers.
Tools that arrived free or heavily subsidized during the 2020-2022 growth surge are operating in a different capital environment now. Some have pivoted to district contracts, which means pricing and access have changed. Others have shut down. The pattern HolonIQ describes, money flowing toward "workforce-aligned platforms" and tools with clear institutional buyers, means standalone classroom apps built for individual teacher adoption are not the investment priority. If a free tool in your classroom has no visible district contract, no clear institutional revenue model, and no professional development ecosystem attached to it, its long-term availability is not guaranteed.
A 2026 study published in Humanities and Social Sciences Communications, part of Nature's portfolio of journals, analyzed data from 50,231 U.S. children and adolescents ages 6-17 using the National Survey of Children's Health 2020-2021 dataset. The findings were specific. Daily screen time of four or more hours was associated with an adjusted odds ratio of 1.61 for depression, 1.45 for anxiety, 1.24 for behavior and conduct problems, and 1.21 for ADHD. Physical activity was the strongest mediating factor, accounting for 30.9% to 38.9% of the association between screen time and mental health outcomes. Irregular bedtime accounted for 18.4% to 23.9%. Short sleep duration accounted for 4.16% to 7.24%. The data comes from the pandemic period, when screen time increased by approximately 52% and daily physical activity rates fell from 24.2% to 19.8%.
The study does not say screen time directly causes depression. It says physical activity is the primary mechanism. Students who spend four or more hours daily on screens but maintain regular physical activity show significantly lower mental health risk than students who do not. This is not an argument for more gym class, though it supports that. It's an argument that any structured movement, advisory periods, passing period activity breaks, brief physical tasks before tests, reduces the downstream mental health consequences of high screen time. Schools cannot control what students do at home. They can control whether the school day includes movement, and these numbers say that decision has measurable mental health consequences.