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EORP

The Final Stamp

“AI knows the rules — you enforce the consequences”

High Risk
대체 확률
58%–75%
예측 연도 범위
2030–2036
리스크 등급
High Risk

Explicit + Objective + Rigid + Product: AI can learn and do it, but errors are too costly / regulated

초능력

Accountability and regulatory authority that AI cannot legally hold

약점

AI already knows every regulation better than you do

네 가지 장벽 차원

E
학습 가능성 — 명시적 (E)
AI가 당신의 업무에 필요한 지식과 기술을 습득하고 학습할 수 있나요?
O
평가 객관성 — 객관적 (O)
당신의 업무에 "정답"이 있나요? 성과를 객관적으로 측정할 수 있나요?
R
오류 허용도 — 엄격형 (R)
AI가 실수하면 그 결과를 감당할 수 있나요? 그 산출물을 신뢰할 수 있나요?
P
인격 의존성 — 성과형 (P)
당신의 가치는 "무엇을 만드느냐"에 있나요, 아니면 "당신이 누구인지"에 있나요?

왜 노출되었는가

Knowledge is digitized and quality is objectively measured — AI learns these quickly. Output-only evaluation means AI can substitute anonymously.

자연 방어

Errors carry real consequences — organizations are cautious about deploying AI where mistakes are irreversible. Regulatory barriers and liability concerns slow replacement.

대표 직업

Production (51) — quality inspection, Healthcare Practitioners & Technical (29) — pharmacy/lab roles

대표 직업 리스크

  • First-Line Supervisors of Production Workers
    On-floor decision-making and worker management require physical presence
    2
  • Inspectors, Testers, Sorters, Samplers, and Weighers
    Sensory judgment and standards compliance — machine vision helps but cannot fully replace
    2
  • Packaging and Filling Machine Operators
    Machine operation and troubleshooting on physical production lines
    2
  • Welders, Cutters, Solderers, and Brazers
    Precision manual skill with physical safety responsibility — hard to fully automate
    2
  • Machinists
    CNC programming and custom part production require technical judgment and adaptation
    2
  • Bakers
    Industrial baking is mechanized; artisan quality relies on sensory skill and creativity
    2
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