Each section also includes ‘other signals on our radar.’

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As of early February, the federal government remains in a partial shutdown after Congress failed to finalize FY26 appropriations by the Jan. 30 deadline, with negotiations stalled largely over Homeland Security funding. While the House and Senate have both advanced Labor-HHS-Education bills that largely protect K-12 funding, those bills have not yet been reconciled or enacted, temporarily freezing parts of the Department of Education’s discretionary activity.

Most formula funds (e.g., Title I, IDEA) continue to flow because they were previously obligated, but new FY26 discretionary grants, pilots, contracts, and program expansions are delayed, creating short-term uncertainty in district-level purchasing and procurement timing.

Multiple states moved from Science of Reading (SoR) legislation to enforcement mechanisms that effectively pre-approve which vendors can be purchased. Michigan’s Department of Education published an official list of 14 approved K–5 reading curricula plus two approved K–3 screening/progress-monitoring assessments, creating a state-level “allowed set” for district literacy purchasing. New York added upstream pressure: the SUNY system adopted a system-wide Science of Reading policy across educator preparation programs, effective immediately for new programs and requiring existing programs to align by Dec 2026, reshaping what new teachers will expect districts to provide. Ohio tightened its assessment gate by shrinking its approved K–3 diagnostic assessment list and requiring vendors to reapply by June 30, 2026, with up to five approved assessments per grade-level alignment. The broader backdrop is scale: more than 44 states have passed SoR legislation, and 2026 is widely framed as the implementation year, not the policy year.

State-approved lists convert product “quality” and “evidence” into a binary procurement permissioning layer, collapsing choice at the district level and pulling vendor differentiation upstream into state review cycles. For vendors, being absent from Michigan’s curriculum list or failing Ohio’s reapplication is not a competitive disadvantage; it is functional exclusion from 2026–27 adoption dollars in those jurisdictions. SUNY’s policy matters because it industrializes demand: new teachers trained under SoR-aligned programs enter districts expecting aligned core materials and diagnostics, which accelerates replacement pressure on legacy ELA. The near-term operational reality is timeline-driven: state deadlines are setting the pace of roadmap, evidence packaging, and go-to-market sequencing.

On January 30, 2026, the Education Technology Joint Powers Authority (EdTech JPA) announced that its board “awarded vendors” under its Artificial Intelligence Platforms RFP (RFP No. 25/26-01) and that contract negotiations with the awarded vendors had commenced. This award followed a tightly structured procurement cycle that began with the AI RFP’s release in July 2025, featured two vendor conferences, locked questions by September 16, 2025, closed proposals on September 30, 2025, and targeted board action on January 29, 2026. While final vendor names and pricing were not publicly disclosed at the time of the announcement due to ongoing negotiations, the significance is clear: EdTech JPA is effectively pre-negotiating AI platform access for its member districts via master agreements, allowing districts to “ride” the cooperative award instead of running duplicative district-by-district RFPs.

For vendors, the competitive arena is moving from hundreds of individualized evaluations to a small number of high-stakes, high-compliance cooperative bids that can open or close entire segments of demand. The upside is obvious: win once, sell many. The trade is equally real: standardized terms, reduced room for bespoke negotiation, and pricing visibility that compresses margin headroom. In practice, consortium awards are becoming a gating mechanism for growth in fast-moving categories like AI, where districts want speed and defensible procurement rather than experimentation tied up in local politics.

Districts are actively re-evaluating pandemic-era tools and asking which products are worth renewing under tighter budgets and higher accountability. Leaders cited a stronger focus on “return on instruction,” frustration with low-value usage metrics (clicks, logins) presented as success, and a push to distinguish purposeful classroom use from passive screen time. Interviewees also described the organizational strain of constant platform changes; one district noted teachers admitting they could not keep up with the volume of change for the first time. The same reporting highlighted that AI is accelerating this reckoning by exposing weak data foundations and pushing governance conversations beyond IT into cross-functional leadership. At the same time, districts anticipate platform consolidation even when it means losing features, because parents, teachers, and administrators cannot sustain an ever-expanding set of logins and workflows.

This is the post-ESSER market in plain language: renewals are the new battleground, and usage evidence is the new currency. Districts are no longer rewarding breadth of features; they are rewarding fewer tools that demonstrably improve instruction, reduce teacher workload, and fit capacity constraints. That creates a structurally different funnel for vendors: expansion depends on surviving rationalization, and new logos increasingly require displacement tied to consolidation initiatives. In this environment, the vendor that wins is the one that makes the district’s stack simpler while improving outcomes and reducing risk.

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