What is the AI Kill Threshold?

The AI Kill Threshold is a probability (0-100%) indicating how likely your occupation will be replaced by AI. It is calculated using the Swiss Cheese Barrier Model across four independent dimensions: Learnability, Evaluation Objectivity, Risk Tolerance, and Human Presence.

How is the replacement probability calculated?

Using a Weighted Power Mean with r=-2 across four dimensions. Learnability has weight 0.30, Evaluation Objectivity 0.25, Risk Tolerance 0.20, Human Presence 0.25. An additional E+O interaction bonus applies when both knowledge is explicit and evaluation is objective.

What data sources does AIR use?

AIR aggregates from BLS OES 2023 (798 occupations employment data), O*NET (task structure labels), Eloundou et al. 2023 (LLM exposure measurement across 19,265 tasks), OpenAI GDPval (AI vs human expert blind evaluation), and the World Economic Forum Future of Jobs Report 2025.

How does AIR differ from MBTI?

MBTI measures personality. AIR measures occupational AI-replacement risk. Both use four binary dimensions producing a 4-letter code, but AIR's dimensions are grounded in automation economics literature and the output is backed by employment data from 798 real occupations.

What is the current industry-wide AI replacement rate?

As of 2026, the employment-weighted industry-wide AI replacement rate is 24.7%, calculated as Task Exposure (34.8%, Eloundou et al. 2023) times AI Win Rate vs human experts (71.3%, OpenAI GDPval).

← Take the AI Replacement Risk Test

EOFH

The Human Bridge

“AI does the work, but they come back for YOU”

High Risk

Replacement Probability

62%–78%

Predicted Year Range

2029–2034

Risk Tier

High Risk

Explicit + Objective + Flexible + Human: AI can do everything, but clients trust YOU specifically

Superpower

Trust and relationships that no algorithm can replicate

Kryptonite

Once AI builds rapport through persistent personalization, your moat shrinks

Four Barrier Dimensions

Learnability — Explicit (E)

Can AI acquire and learn the knowledge and skills your job requires?

Evaluation Objectivity — Objective (O)

Does your work have a "right answer"? Can quality be objectively measured?

Risk Tolerance — Flexible (F)

If AI makes a mistake, can the consequences be tolerated? Can its output be trusted?

Human Presence — Human (H)

Is your value in "what you produce" or "who you are"?

Why This Profile Is Exposed

Knowledge is transparent, quality is measurable, and errors are forgivable — AI can learn, optimize, and iterate freely in 3 out of 4 dimensions.

Natural Defenses

People come to you for YOU, not just results. Human trust, personal reputation, and relationship continuity are your moat — but only if you actively cultivate them.

Typical Occupations

Sales & Related (41), Business & Financial Operations (13) — client relationship roles

Sample Career Risk Scores

Sales Representatives of Services
Product knowledge is commoditized — AI recommendation engines erode information advantage
37
First-Line Supervisors of Retail Sales Workers
Operational tasks increasingly automated — human value shifts to team motivation
26
Counter and Rental Clerks
Transaction-oriented role — self-service kiosks and apps replace routine counter work
18
Retail Salespersons
E-commerce and AI recommendations eroding in-store advantage — relationship is the last moat
14
Insurance Sales Agents
AI can compare and recommend plans — agents survive on trust and complex case handling
14
Cashiers
Self-checkout terminals and mobile payment already displaced millions of cashier roles
5

Take the test to find your profile