About Us

Why FutureProof Grad Exists

Because no one was telling families the truth about what AI is doing to the job market — and the clock is ticking.

"The best college investment isn't the most prestigious school — it's the one that maps to where the world is actually going."

FutureProof Grad was founded on one belief: families spending $50,000 to $300,000 on a college education deserve honest, data-backed information about what AI will do to their student's career field — before they sign the promissory note, not after.

We synthesize research from Oxford, McKinsey, the World Economic Forum, the Bureau of Labor Statistics, and LinkedIn's Economic Graph to give families a clear picture of which fields are durable, which are at risk, and which represent the highest-upside bets for students entering the workforce in 2027 and beyond.

The Silence Is Deafening

Universities have every incentive to sell you on their programs. None to warn you that some of those programs are losing their labor market value. That's where we come in.

01

Universities Are Lagging

Curriculum changes take 3–5 years to implement. AI is moving in months. Students who enroll in high-risk programs today will graduate into a fundamentally different job market.

02

Guidance Counselors Aren't Equipped

Most high school guidance counselors are working from playbooks written in 2015. The research they draw on predates ChatGPT, Claude, and the generative AI explosion.

03

The Stakes Are Enormous

A four-year private university now costs $240,000+ on average. A miscalculated major choice compounds into lost years, student debt, and stunted career trajectories.

04

Neurodivergent Students Are Being Left Out

Students with ADHD, autism, and dyslexia are disproportionately steered toward remediation — when the data shows their cognitive profiles may be among the most AI-resilient of all.

Our Methodology

We don't rank majors based on vibes or conventional wisdom. Every score is built on a reproducible, multi-source model.

Automation Probability Score

Based on Frey & Osborne's Oxford methodology, extended with task-level analysis across 702 occupational categories. We weight by the specific task composition of each major's most common career paths.

BLS 10-Year Projection

We pull the Bureau of Labor Statistics 10-year employment projections for the top 3 occupational outcomes of each major, then compute a weighted growth rate based on graduation volumes.

AI Disruption Velocity

Not all automation risk is equal. We score how fast AI capabilities are advancing in each domain — fields where AI is improving at 40%+ annually get additional risk weight.

Salary Trajectory Modeling

We track median starting salary trends against automation probability to identify fields where pay is already declining as a leading indicator of structural displacement.

University AI Readiness Score

Institutions are scored on curriculum modernization, AI research investment, industry partnership depth, graduate employment outcomes, and stated AI strategy in accreditation filings.

Neurodivergent Fit Index

We map cognitive profile strengths (pattern recognition, hyperfocus, systems thinking, nonlinear creativity) against AI-era career requirements to identify best-fit pathways.

Major Risk Score — Factor Weights

35% Frey–Osborne automation probability
25% BLS 10-year job growth projection
20% AI capability velocity in domain
10% Recent hiring signal from LinkedIn data
10% McKinsey activity-level disruption score

The Data Behind the Scores

We don't manufacture opinions. Every score derives from published, peer-reviewed, or government-produced research — cited and updatable.

Oxford / Frey & Osborne

"The Future of Employment" — the definitive automation probability study covering 702 occupations

McKinsey Global Institute

Activity-level AI substitution analysis across industries, updated through 2025

Bureau of Labor Statistics

Occupational Outlook Handbook — official 10-year job growth projections for all major career paths

LinkedIn Economic Graph

Real-time hiring signal data: which skills are rising, which roles are contracting, what employers are actually searching for

World Economic Forum

Future of Jobs Report — global displacement and creation projections, updated biennially

NBER & Academic Research

Peer-reviewed labor economics papers on AI substitution, wage effects, and task-level automation

"I graduated from a prestigious undergraduate institution and went on to earn a graduate degree before building a career in the financial services industry. Then I had children — and everything changed.

Leaving the industry wasn't a sacrifice. It was a choice. And it gave me something I hadn't had before: the time and focus to really pay attention to what my children were facing inside the New York City school system.

What I found worried me. The advice families were getting about college and careers hadn't kept up with how fast the world was changing. AI was beginning to reshape entire professions — the very ones we were steering our kids toward. Guidance counselors, the college prep industry, the rankings — none of it was asking the right questions.

FutureProof Grad is what I built when I couldn't find the resource I needed. It combines everything I've learned navigating New York's competitive school system with rigorous research into where AI is taking the job market. My goal is simple: help families make decisions they won't regret in ten years."

— Founder, FutureProof Grad  ·  New York City

All research, scoring, and editorial content is produced by the FutureProof Grad research team — a group of researchers, data analysts, and former admissions professionals with backgrounds in labor economics, AI policy, and educational outcomes.

We have no affiliation with any university, employer, or college guidance service. We do not accept sponsored content or ranking fees. Our only incentive is getting this right — because families are counting on it.

How We Stay Honest