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Research Methodology

v1.0.0

Our AI career displacement assessment is built on peer-reviewed research and industry analysis from leading institutions. Here's how we calculate your score.

Last updated: December 2, 2025

Research Sources

MIT - The Iceberg Index

MIT's ongoing research tracking AI automation potential across occupations. Provides task-level automation scores and geographic adoption data.

MIT Work of the Future

OpenAI & University of Pennsylvania - GPTs are GPTs

Comprehensive study analyzing LLM exposure across occupations using E0/E1/E2 exposure rubrics. Forms the basis of our task-level risk scoring (40% weight).

arXiv Paper

McKinsey Global Institute

Analysis of AI adoption by industry and company size. Key finding: entry-level workers are 14x more likely to need occupation changes than highest-wage positions.

McKinsey Research

Oxford University - Frey & Osborne

Foundational research on automation probability by occupation. 47% of US jobs at high risk of automation. Informs our experience-based adjustments.

Oxford Study

World Economic Forum - Future of Jobs 2025

Global industry outlook on job displacement and creation. Provides industry-specific adoption speed modifiers and emerging role data.

WEF Report

Scoring Formula

Your "cooked score" is a weighted composite of six factors:

FactorWeightSource
Task Composition40%GPTs are GPTs, MIT
Industry20%McKinsey, WEF
Seniority Level15%McKinsey (14x entry risk)
Company Size10%McKinsey
Experience10%Frey & Osborne
Geography5%MIT Iceberg

Runway Calculation

Your estimated runway represents years until significant AI impact on your role:

Runway = 8 years × (1 - score/100) × Industry Speed Modifier

Confidence band: ±18 months. Based on current AI development trajectories.

Score Levels

Rare (0-25%)

Low AI exposure. Your role involves tasks that are difficult for AI to replicate, such as physical work, complex human relationships, or highly creative endeavors.

Medium (26-50%)

Moderate exposure. Some of your tasks can be augmented or partially automated by AI. Focus on developing skills in areas AI struggles with.

Well Done (51-75%)

High exposure. A significant portion of your work can be automated. Consider upskilling into AI-resistant areas or transitioning to AI-augmented roles.

Burnt (76-100%)

Critical exposure. Most of your tasks are highly automatable. Urgent action recommended: explore career pivots, AI tool mastery, or management transitions.

Limitations & Disclaimers

What this score IS:

  • A research-backed estimate of technical exposure to AI automation
  • A tool for reflection and career planning
  • Based on current AI capabilities and projected near-term developments

What this score is NOT:

  • A prediction of guaranteed job loss
  • A reflection of your personal value or worth
  • A substitute for professional career counseling
  • A guarantee of job security (even low scores)

Factors not captured:

  • Employer-specific decisions and strategies
  • Labor market conditions and regulations
  • Union protections and labor laws
  • AI regulation and policy changes
  • Your personal adaptability and learning capacity

Mental Health Note: If you're experiencing significant anxiety about your career due to AI, consider speaking with a career counselor or mental health professional. This tool is for informational and entertainment purposes only.

Find out your AI displacement risk score