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College Admissions Counselors

Education & Traininghighaugment
BLS 2024-34: +4%
Median Wage: $60,140
Employment: 329K

Overall Exposure

53+15

2025 vs 2023

Theoretical Exposure

70

What AI could do

Observed Exposure

33

What AI actually does

Automation Risk Score

42

Displacement risk

3-Year Outlook (2025 → 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

53→68
+15

2025 → 2028 (estimated)

Theoretical Exposure

70→85
+15

2025 → 2028 (estimated)

Observed Exposure

33→47
+14

2025 → 2028 (estimated)

Automation Risk

42→54
+12

2025 → 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
202338551830actual
202446632636actual
202553703342actual
202659763847estimated
202764814351estimated
202868854754estimated

Task Breakdown

Review and evaluate student applications and transcripts
72%β 1
Conduct informational sessions and campus tours for prospective students
25%β 0
Analyze enrollment data and generate recruitment reports
80%β 1
Communicate admission decisions and financial aid information
68%β 1
Counsel students on academic program options and career pathways
35%β 0.5

About This Occupation

If you work as a College Admissions Counselor, AI is reshaping your profession. With an automation risk of 42/100 and overall exposure at 53%, this role faces high transformation. The highest-impact area is analyze enrollment data and generate recruitment reports at 80% automation. This is classified as an 'augment' role — AI enhances your capabilities rather than replacing you. BLS projects +4% growth through 2034. Counselors who embrace AI-powered application screening and data analytics will focus more on personalized student engagement.

Frequently Asked Questions

With an automation risk score of 42%, College Admissions Counselors faces a moderate level of AI-driven change. Some tasks can be automated, but many require human judgment, creativity, or interpersonal skills that AI cannot yet replicate. The role is more likely to evolve alongside AI than be replaced.

The AI automation risk score for College Admissions Counselors is 42% (2025 data). Overall AI exposure is 53%, with 70% theoretical exposure and 33% observed exposure. The risk trend from 2023 to 2025 is +12 points.

The tasks with the highest automation potential for College Admissions Counselors are: Analyze enrollment data and generate recruitment reports (80%), Review and evaluate student applications and transcripts (72%), Communicate admission decisions and financial aid information (68%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.

The BLS projects +4% employment change for College Admissions Counselors from 2024 to 2034. Combined with an overall AI exposure of 53%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily augments capabilities in this role, professionals in College Admissions Counselors should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.