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EORP

The Final Stamp

“AI knows the rules — you enforce the consequences”

High Risk
代替確率
58%–75%
予測年範囲
2030–2036
リスク等級
High Risk

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

超能力

Accountability and regulatory authority that AI cannot legally hold

弱点

AI already knows every regulation better than you do

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？
O
評価客観性 — 客観型 (O)
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 quality is objectively measured — AI learns these quickly. Output-only evaluation means AI can substitute anonymously.

自然な防御

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

典型的な職業

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

代表的な職業リスク

  • 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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