ETS’s AI‑powered GRE will force schools, prep firms and applicants to rethink how merit is measured.

Disrupting Traditional Admissions

When ETS announced its AI-driven GRE pilot in February, it sparked a flood of emails from applicants asking whether the new format would replace the classic verbal-reasoning and quantitative sections. The pilot uses adaptive language models to generate on-the-fly passages and data sets, promising faster scoring and a richer view of analytical ability. However, the shift threatens to upend the criteria that have guided admissions for decades. Critics warn that AI-generated items may favor test-takers comfortable with digital interfaces, leaving behind strong candidates who excel in traditional paper-based reasoning but lack tech fluency.

The Evolving Test Prep Market

The GRE and GMAT are already feeling pressure from a growing market projected to add $16.28 billion between 2024 and 2028. Online platforms that embed AI in lesson plans, practice quizzes, and instant feedback loops are driving this surge. Companies like Kaplan and Magoosh have rolled out AI-powered tutors that mimic the new GRE’s question style, betting on the demand for “future-ready” preparation.

Companies like Kaplan and Magoosh have rolled out AI-powered tutors that mimic the new GRE’s question style, betting on the demand for “future-ready” preparation.

Implications for Graduate School Admissions

If the AI GRE becomes the norm, admissions committees will have a new data stream to parse. The test can score not only correctness but also reasoning pathways, offering insight into how candidates approach complex problems. Proponents argue this could broaden diversity by highlighting non-traditional strengths. However, the technology also raises equity concerns, as schools serving first-generation students may lack the resources to interpret AI-driven analytics, while well-funded institutions could build proprietary dashboards that give their applicants an edge.

Adapting to the New Test Format

Kaplan has announced a beta program that pairs its AI tutor with the new GRE, letting users practice with real-time explanations generated by the same language model used in the exam. Magoosh follows a similar route, offering a “dynamic practice engine” that reshapes questions after each attempt. For applicants, the shift means abandoning rote memorization in favor of developing meta-cognitive skills – recognizing how the AI frames problems and adjusting strategies on the fly.

The Future of Graduate School Admissions

The AI GRE is likely to become a permanent fixture, nudging graduate schools toward more holistic review processes. As AI-driven analytics mature, institutions may blend test data with coursework, research outputs, and even digital footprints to construct a fuller applicant profile. The test-prep market will continue to evolve, with AI solutions becoming the standard rather than the exception. Companies that can integrate adaptive learning with robust analytics will shape the next generation of admissions. For students and professionals eyeing graduate study, the message is clear: mastering AI-enhanced assessment tools will be as important as mastering the subject matter itself.

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