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).

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ESFH

The Living Brand

“AI can mimic your style, but it can't BE you”

Medium Risk

대체 확률

35%–52%

예측 연도 범위

2031–2039

리스크 등급

Medium Risk

Explicit + Subjective + Flexible + Human: AI can learn, but quality is subjective + fans trust the person

초능력

Personal brand and audience loyalty that follows the person, not the content

약점

AI influencers are already gaining followers — and they never have a bad day

네 가지 장벽 차원

학습 가능성 — 명시적 (E)

AI가 당신의 업무에 필요한 지식과 기술을 습득하고 학습할 수 있나요?

평가 객관성 — 주관적 (S)

당신의 업무에 "정답"이 있나요? 성과를 객관적으로 측정할 수 있나요?

오류 허용도 — 유연형 (F)

AI가 실수하면 그 결과를 감당할 수 있나요? 그 산출물을 신뢰할 수 있나요?

인격 의존성 — 인간형 (H)

당신의 가치는 "무엇을 만드느냐"에 있나요, 아니면 "당신이 누구인지"에 있나요?

왜 노출되었는가

Knowledge is accessible and errors are tolerable — AI can learn your domain and iterate without consequences.

자연 방어

Quality is in the eye of the beholder AND your audience trusts YOU — creative judgment plus personal brand form a powerful defense.

대표 직업

Arts, Design, Entertainment, Sports & Media (27) — content creators, Educational Instruction & Library (25)

대표 직업 리스크

Health Specialties Teachers, Postsecondary
Clinical knowledge delivery — AI tutoring supplements but credential requirements persist
20
Middle School Teachers
AI tools augment lesson delivery — emotional development and classroom management remain human
20
Secondary School Teachers
Subject expertise commoditized online — teacher value is mentorship and motivation
17
Elementary School Teachers
Child development and socialization require human relationship — curriculum delivery augmented by AI
14
Self-Enrichment Teachers
Personal coaching and motivation are the product — AI cannot replicate the human accountability bond
12
Preschool Teachers
Physical care, emotional attunement, and early development are deeply human work
7

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