Nonprofit Code.org released its 2025 State of AI & Computer Science Education report this week with a state-by-state analysis of school policies complaining that "0 out of 50 states require AI+CS for graduation."

But meanwhile, at the college level, "Purdue University will begin requiring that all of its undergraduate students demonstrate basic competency in AI," writes former college president Michael Nietzel, "starting with freshmen who enter the university in 2026."

The new "AI working competency" graduation requirement was approved by the university's Board of Trustees at its meeting on December 12... The requirement will be embedded into every undergraduate program at Purdue, but it won't be done in a "one-size-fits-all" manner. Instead, the Board is delegating authority to the provost, who will work with the deans of all the academic colleges to develop discipline-specific criteria and proficiency standards for the new campus-wide requirement. [Purdue president] Chiang said students will have to demonstrate a working competence through projects that are tailored to the goals of individual programs. The intent is to not require students to take more credit hours, but to integrate the new AI expectation into existing academic requirements...

While the news release claimed that Purdue may be the first school to establish such a requirement, at least one other university has introduced its own institution-wide expectation that all its graduates acquire basic AI skills. Earlier this year, The Ohio State University launched an AI Fluency initiative, infusing basic AI education into core undergraduate requirements and majors, with the goal of helping students understand and use AI tools — no matter their major.

Purdue wants its new initiative to help graduates:
— Understand and use the latest AI tools effectively in their chosen fields, including being able to identify the key strengths and limits of AI technologies;
— Recognize and communicate clearly about AI, including developing and defending decisions informed by AI, as well as recognizing the influence and consequences of AI in decision-making;
— Adapt to and work with future AI developments effectively.

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