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Which Skills Matter Now?

A Data-Driven Framework for K-12 in the Age of AI

By:
 
Stuart Andreason
Stuart Andreason
 
Matt Sigelman
Matt Sigelman
 
Christian Pinedo
Christian Pinedo
 
Emma Doggett Neergaard
Emma Doggett Neergaard
 
Alex Kotran
Alex Kotran
 
Shrinidhi Rao
Shrinidhi Rao
 
Gwynn Guilford
Gwynn Guilford
February 2026
Which Skills Matter Now?

AI is reshaping which skills matter for professional success—and, therefore, what students need to learn. This report provides a data-driven framework for K-12 educators to navigat this shift, analyzing AI’s impact on 1,000 workforce skills and mapping the implications for 140 high school learning objectives. It offers a clear method for identifying where and how curriculum needs to be rebalanced. Three key themes emerge:

  • The cognitive bar is rising. Skills with high automation exposure now demand deeper conceptual understanding, not less, to empower students to direct and evaluate AI tools.
  • The real divide is within subjects, not between them. No discipline loses relevance, but every discipline contains skills that require new instructional approaches alongside skills that remain foundational.
  • Traditional assessment faces new challenges. When AI can generate polished outputs, evaluation must focus on the students’ thinking, reasoning, and judgment.

The report introduces a four-quadrant framework—Deepen, Transform, Streamline, Anchor—that helps educators make evidence-based decisions about what to emphasize, what to redesign, and what to protect in their curriculum.

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