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← Back to the day · October 2, 2026

An AI master's quietly cancelled: 12 students sue Troy University for fraud

🕒 Published on Zendoric: October 2, 2026 · 00:19

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Twelve former Troy University (Alabama) students allege the school cancelled its master's in Artificial Intelligence in December 2025 and concealed it for nearly four months while they kept paying tuition and attending class, according to the lawsuit filed on 1 October.

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By Zendoric · October 2, 2026.

Twelve students at Troy University, in Alabama, have sued the institution over the unannounced closure of its Master of Science in Artificial Intelligence (MSAI), the artificial intelligence master's degree in which they were enrolled. According to the lawsuit filed on October 1 and reported by the Montgomery Advertiser, the students enrolled in 2025 in what the university had presented to them as an in-person program, on campus. The complaint alleges that Troy decided to end the program on December 16, 2025, but did not inform those affected until the following April 7: nearly four months during which, according to the plaintiffs, they kept attending class, paying tuition and organizing their professional lives around a degree the university no longer intended to grant.

"Each of our clients was recruited by Troy because they had achieved success and status in their life, in their work and in their career," said Rick Morrison, of the Morrison Law Firm, which represents the plaintiffs, as reported by the outlet. "Each made significant commitments of time and money based on promises the university never intended to keep." The students maintain that Troy later offered them the chance to continue their studies online through other programs, a route none of them had sought; one of the plaintiffs goes so far as to state that, were it not for that specific master's degree, they would have had no reason to affiliate with the university. The lawsuit seeks compensatory and punitive damages. Troy University has not responded to the Montgomery Advertiser's request for comment, so for now we only have the plaintiffs' version; the account should be treated as an allegation, not as proven fact, until there is a response from the university or a court ruling.

As sector context, this episode is not happening in a vacuum. Demand for artificial intelligence credentials has soared over the past two years, fueled by professionals seeking to retrain toward the profiles that are genuinely gaining weight in the labor market: AI systems architecture, security governance and the integration of these tools into existing processes, as opposed to the administrative, routine work that AI itself is replacing. Universities across the United States have responded by launching master's degrees and certifications bearing the "AI" label at a pace not always matched by the teaching infrastructure, faculty or institutional commitment needed to sustain them for several years.

Our reading is that this case, whatever a court decides, is a symptom of a broader dynamic we have already flagged in other contexts: the "AI" label attracts enrollment, investment and attention faster than the substance behind it gets built. Where we previously spoke of startups capturing capital merely by calling themselves "AI companies" without much AI inside, here the pattern repeats with another kind of "investor": students who staked time, money and, they allege, their professional reputation on a degree the institution had quietly stopped supporting. If the allegations are confirmed, the damage is not only financial: it is the confidence that academic institutions can serve as a reliable bridge toward the professional retraining that the transition to AI itself demands.

In the long run, our underlying thesis does not change: the economy will need more and more people capable of designing, governing and integrating AI systems, and serious training in this field will remain one of the best career bets of the coming decade. But the boom also has a more uncomfortable short-term side, and this case portrays it well: an inevitable winnowing between programs with real substance and others launched in haste to ride the enrollment wave, with the risk that students are the ones left to pick up the pieces of the mismatch between institutional promise and capacity to deliver. Anyone weighing whether to invest years and savings in an AI master's degree would do well to ask for more than an attractive brochure: budget continuity, solid accreditation and, in light of what happened at Troy, some fine print on what happens if the program does not survive the academic year.

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