Schools Test AI Tools for College Admissions Guidance

High schools are testing artificial intelligence tools to help students navigate college admissions, financial aid and career planning. At the Urban Assembly School for Law and Justice in Brooklyn, students including Khloe Watson-Barrett are using software designed to answer routine questions and organize complex application information. The pilot reflects a practical problem: many counselors are responsible for far more students than they can advise individually. The update had entered the public record by March 27, 2026.

The technology is not being presented as a replacement for human guidance. Its immediate purpose is narrower. Students can ask about deadlines, scholarship requirements, college costs, salary ranges or application steps at times when a counselor may not be available. That can reduce confusion during junior and senior year, especially for first-generation students who may not have a family map for the admissions process.

Why Schools Are Turning to AI

College counseling has become more data-heavy. Students are asked to compare tuition, financial aid, completion rates, career outcomes and loan risk before making decisions that can shape decades of debt and opportunity. A single counselor cannot manually track every deadline, grant rule and labor-market projection for hundreds of students.

Specialized AI systems try to solve that workload problem by drawing from vetted databases rather than the open internet alone. That distinction matters because general chatbots can produce outdated or inaccurate answers. A school-facing counseling tool must be more constrained. If a student asks about a FAFSA step or a state aid deadline, the answer has to be reliable. The software can also connect academic choices to labor-market information. A student considering law, nursing, teaching or computer science can compare credential requirements, likely debt and salary ranges. That does not decide the student's future, but it gives the student a clearer view of tradeoffs before applications are submitted.

Human Counselors Still Set the Boundaries

Diana Moldovan, who works on college and career placement at Urban Assembly, has emphasized that trust remains central to counseling. Students often need more than a list of deadlines. They need help talking through fear, family expectations, rejection, ambition and uncertainty. Those are not administrative tasks.

"You can't replace the trust," Moldovan said.

That is why the most defensible use of AI is as a support layer. If the software handles repeated procedural questions, counselors can spend more time on judgment-heavy conversations. A student who has already used the tool to understand costs and requirements can meet a counselor with better questions. The human meeting then becomes more focused, not less important.

The risk is that budget pressure turns a support tool into a substitute. Districts facing staff shortages may be tempted to treat software as a cheaper replacement for professional counseling. That would weaken the very model schools say they are building. AI can organize information, but it cannot know when a student is hiding anxiety, misunderstanding family pressure or choosing a path only because it looks safest on a spreadsheet.

Privacy, Bias and College Choice

Student data is the first concern. A college counseling system may collect grades, interests, family income signals, career goals and sensitive financial-aid information. Schools need clear rules about who can see that data, how long it is stored and whether vendors can use it for product development or marketing. For minors, vague consent is not enough.

Bias is another risk. If a system relies on labor-market data without careful oversight, it may steer students toward fields that historically rewarded people like them and away from paths where they are underrepresented. Salary projections can be useful, but they should not become destiny. A student deserves information about earnings and debt, while still having room for creative, public-service or academic goals.

Financial aid complexity helps explain why schools are interested anyway. FAFSA changes, state grants, institutional aid and scholarship rules can overwhelm students who lack private counseling. A well-designed tool can flag missing steps, explain terms in plain language and keep a student from losing aid because of a preventable paperwork error.

What It Means

The strongest case for AI college counseling is equity. Wealthier families can buy private admissions help, test prep and financial planning. Public schools are trying to offer at least some of that structure to students who would otherwise rely on overburdened staff and scattered online searches. If the tools are accurate and supervised, they can make the process less opaque.

The weakest case is efficiency without care. A school that gives students software but not enough human time may improve the appearance of guidance while leaving the hardest decisions unsupported. The real test is whether students complete applications, understand costs and choose programs that fit both their goals and their lives. AI can make the college search more navigable. It cannot make it simple. The value of the Brooklyn pilot will depend on whether the technology gives counselors more room to counsel, or whether it becomes another way to ask students to manage a high-stakes process alone.