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ESRP

The Pressure Alchemist

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

Medium Risk
代替確率
36%–54%
予測年範囲
2032–2041
リスク等級
Medium Risk

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

超能力

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

弱点

AI is getting better at high-stakes reasoning every quarter

4つのバリア次元

E
学習可能性 — 顕在型 (E)
AIはあなたの仕事に必要な知識やスキルを習得・学習できますか？
S
評価客観性 — 主観型 (S)
あなたの仕事に「正解」はありますか？品質を客観的に測定できますか？
R
許容度 — 厳格型 (R)
AIがミスをした場合、その結果を許容できますか？その出力を信頼できますか？
P
人格依存性 — 成果型 (P)
あなたの価値は「何を作るか」にありますか、それとも「あなたが誰であるか」にありますか？

なぜ脆弱なのか

Knowledge is digitized and only the output matters — AI can learn the theory and produce work anonymously.

自然な防御

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.

典型的な職業

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

代表的な職業リスク

  • 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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