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Futuresource AI in Education

AI adoption across K-12 and higher education has crossed an important threshold, with schools shifting from isolated pilots to structured implementations supported by formal policies and professional development. While higher education institutions were originally leading in terms of wider implementation of AI tools especially by students, K-12 teachers are now embracing learning and productivity AI tools to support their pupils in group and one to one settings.

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Frequently Asked Questions (FAQs)

What is covered in the report?

The report examines AI adoption across K-12 and higher education, including AI PCs, generative AI tools, governance frameworks, market forecasts and institutional adoption trends.  

Education technology vendors, device manufacturers, software providers, investors, educational institutions and policy stakeholders seeking insight into AI adoption within education. (Audience recommendation based on report scope.) 

Agentic AI refers to AI systems capable of planning, acting and completing multi-step tasks autonomously. The report explores how these capabilities are being applied across teaching, tutoring, administration and student support.  

SLMs are AI models trained and deployed for specific institutional requirements, enabling greater control over governance, compliance and curriculum alignment.  

According to Futuresource research cited within the report, 67% of teachers are now using AI tools.  

AI PCs account for approximately 15% of institutional PC shipments in 2026 and are forecast to grow significantly by 2030.  

Yes. The report provides five-year AI PC shipment forecasts across K-12 and higher education.  

The analysis combines institutional interviews, student research, channel feedback, market tracking data and Futuresource modelling and forecasts. 

Contact Iryna Kazanchuk or Melanie Tagg at Futuresource to request a copy or discuss licensing options.