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4. No Learner Left Behind: Closing AI’s Equity Gaps

Our Research Shows

Without support, AI is a stressor. With embedded tools and professional development, it becomes a workload reducer, freeing educators to focus on what matters most: Teaching and mentoring. Equity must be a foundational principle in AI strategies.

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29% more educators will use AI to support students with accessibility needs in the 25–26 academic year vs. prior year

  • Gen Z educators are 5X more likely then GenX and Boomers to cite equity issues—like access to technology—as their primary concern with AI used in education

  • First-gen and Hispanic students are less likely to use GenAI

  • Students want ethical guidance and transparency in AI use

“AI is really more helpful than me emailing my professor and waiting a few hours or even a few days for a response when I could be getting my assignment done”

Man working on computer
Women working on computer

Actions to Consider

  1. Ensure AI tools are accessible to all learners
  2. Monitor usage across demographics to identify disparities
  3. Include or require equity and ethics in AI training, policy and product design
Group setting in a classroom

Key Takeaway

AI’s potential to democratize learning is undercut if access and support are not intentional. Without proactive measures for inclusion, first-generation, marginalized and underserved students can fall further behind as digital divides widen. Embedding equity, accessibility and transparency into every facet of AI policy, product design and professional development is essential if AI is to lift all learners, not just the most privileged.