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ESRP

The Pressure Alchemist

“When failure isn't an option, they call a human”

Medium Risk
대체 확률
36%–54%
예측 연도 범위
2032–2041
리스크 등급
Medium Risk

Explicit + Subjective + Rigid + Product: AI can learn, but quality is subjective + errors have serious consequences

초능력

Making irreversible creative decisions under pressure — stakes too high for AI

약점

AI is getting better at high-stakes reasoning every quarter

네 가지 장벽 차원

E
학습 가능성 — 명시적 (E)
AI가 당신의 업무에 필요한 지식과 기술을 습득하고 학습할 수 있나요?
S
평가 객관성 — 주관적 (S)
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 only the output matters — AI can learn the theory and produce work anonymously.

자연 방어

Quality is subjective AND errors are irreversible — AI must clear both the creative judgment bar AND the safety bar. This dual gate significantly slows adoption.

대표 직업

Architecture & Engineering (17), Life, Physical & Social Science (19), Business & Financial Operations (13) — investment management

대표 직업 리스크

  • Electrical Engineers
    System design and safety sign-off require licensed professional judgment
    6
  • Architects, Except Landscape and Naval
    AI generates designs but code compliance, liability, and client negotiation keep humans central
    6
  • Mechanical Engineers
    Physical prototyping, tolerances, and manufacturing constraints require hands-on expertise
    4
  • Civil Engineers
    Infrastructure design with public safety accountability — PE licensure is a hard moat
    1
  • Industrial Engineers
    Process optimization in physical environments requires operational context AI cannot observe
    1
  • Medical Scientists, Except Epidemiologists
    Experimental design and hypothesis generation require deep domain creativity
    1
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