{
  "id": 6755547,
  "title": "AI is now part of the edtech stack — and schools are repeating the mistake they made in every wave before",
  "url": "https://urgent.news/2026/09/11/ai-is-now-part-of-the-edtech-stack-and-schools-are-repeating-the",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-11T11:30:00.000Z",
  "source": {
    "name": "Fortune",
    "slug": "fortune",
    "url": "https://fortune.com/2026/09/11/ai-edtech-schools-repeating-tech-mistake/"
  },
  "original_language": "en",
  "account": "AI has become an integral part of the edtech stack, but schools are encountering the same challenges they faced in previous technology waves, according to a recent report. The AI assistant, like its predecessors such as the CRM, HRIS, data platform, and collaboration suites, launched with an email, recorded webinar, and a dashboard, boasting near-total activation by Friday. However, the activation is impressive, but the output remains stagnant, leaving executives feeling as though they have experienced the same futile meeting. MIT research indicates that 95% of corporate generative AI pilots fail to deliver measurable results. Schools across the nation are now replicating this ineffective approach at an unprecedented scale.\n\nThe previous technological advancements, such as interactive whiteboards, laptop carts, and pandemic-funded platforms, were activated without proper training and instructional models tailored to their use. The difference this time is that the AI technology is exceptional, yet the desired outcomes still elude schools. This realization has prompted policymakers to demand proof of AI's effectiveness, underscoring the need for a shift from mere adoption to tangible results. Washington is now seeking evidence of AI's impact on student learning.\n\nIn the past, career exploration tools were developed with the intention of assisting teenagers in identifying their strengths, interests, and potential career paths. However, the reality was that teenagers often failed to engage with these tools beyond superficial exploration. Policymakers underestimated the additional resources required to facilitate meaningful interactions with employers, leading to a cycle of underutilized technology and unmet outcomes. This pattern repeats itself in the implementation of AI tools, with the industry focusing on the tools themselves rather than the essential elements of training, workflow, and habit formation.\n\nThe Department of Education has taken a crucial step by distinguishing between recreational and instructional technology, emphasizing that screen time is an inadequate metric for educational value. This distinction is crucial, as it aligns with the IT department's previous approach of separating recreational and instructional technologies. The guidance from the Department now calls for evaluating instructional technology based on demonstrated learning outcomes rather than mere usage. Products must be held accountable by presenting evidence of their effectiveness and detailing their limitations. The Department asserts that responsible design is the baseline for AI implementation in education.\n\nHowever, the report highlights a significant gap that remains unaddressed: the implementation of AI tools. Despite the availability of AI tutors, some of which are free and accessible at any time, students often bypass these resources when faced with challenges. Studies show that while 96% of students engaged with the AI tutor at least once, only 17% utilized it during moments of difficulty, resorting to the cheapest alternative, which is often to skip the task entirely. Another study revealed that students performed better after mistakes when the AI software prompted them to review their work, and the greatest learning gains occurred when the AI was integrated into a mastery-based workflow.\n\nThe evidence is preliminary, but the core lesson is clear: the success of AI in education hinges on design and the decisions made by adults, not simply the exposure to the technology. Schools, like hospitals, need to invest in the complete equation of implementation, which includes teaching students how to effectively use these powerful tools. This requires more than just providing the login; it necessitates comprehensive professional development and instructional models that foster meaningful engagement with AI. The shift from merely purchasing technology to implementing it effectively marks the beginning of a new era of accountability in the edtech landscape. The focus should not be on reducing technology use but on proving its efficacy through rigorous evaluation and thoughtful integration into the learning process.",
  "summary": "Schools skipped the training. So did your company. Now Washington wants proof it worked.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}