Medical Examiner

Loaded from database
78.9
RESILIENT(60–79)
Healthcare
High Income

Summary

Medical Examiners are physicians who perform autopsies and other death investigations to determine the cause and manner of death. This role requires extensive medical knowledge, sophisticated diagnostic reasoning, and a high degree of ethical judgment. The investigative aspect extends beyond pure medical diagnosis, often involving legal and forensic considerations.

Future Outlook

The role of a Medical Examiner is relatively resilient to AI displacement due to its highly specialized nature and the need for human judgment in complex investigations. While AI can assist in analyzing forensic data, such as toxicology reports or imaging, the ultimate interpretation, the performance of autopsies, and the legal reporting require human expertise. The future will likely see AI tools augmenting the diagnostic capabilities of Medical Examiners, potentially speeding up some analytical processes and identifying patterns. However, the core responsibilities, including interacting with families, testifying in court, and making critical judgment calls under pressure, will remain firmly in human hands.

Medical Examiner

Pillar Scores

Human Cognitive Moat
29.6 / 35
Social & Institutional Moat
21.2 / 28
Physical Reality Moat
17.8 / 21
Economic & Demand Moat
17.6 / 21
AI Exposure Risk
-16.3 / 35

Score Comparison

Sector Comparison: Healthcare

No data available
0255075100
This Career
78.9

Global Comparison

No data available
0255075100
This Career
78.9
What This Means

This comparison shows how this career's AI Moat Score compares to others in its sector and across all careers. A higher score indicates greater resistance to AI displacement. Scores range from 0-100, with higher scores being better.

Conditional Modifiers Applied

Physical Dexterity & GeoTethering Boost

+5

Physical Dexterity (4) ≥4 AND GeoTethering (5) ≥4

Bonus applied to total score

Judgment & Human Preference

+4

Judgment Stakes (5) ≥4 AND Human Preference (4) ≥4

Bonus applied to total score

These modifiers are applied based on specific factor combinations that significantly impact AI resistance.

Key Strengths

  • Requires high-stakes human judgment in sensitive and complex death investigations.
  • Involves extensive ethical considerations and legal responsibilities that AI cannot replicate.
  • Demands nuanced contextual reasoning and sensory integration during physical examinations and autopsies.

Key Vulnerabilities

  • AI could potentially assist in preliminary identification of anomalies in imaging and toxicology data.
  • Standardized reporting and data analysis tasks may be subject to AI-driven automation.
  • AI's pattern recognition could be used to flag potential causes of death based on large datasets.

Adjacent Careers

Click any adjacent career to analyze it. If it already exists, you'll be taken to its detail page.

How This Score Was Calculated

Pillar Score Formula

Pillar Score = (∑(Factor × Weight)) × (Normalization Factor)
Where factors are scored 1-5 (1=weakest, 5=strongest) for positive pillars, and -1 to -5 (-1=low exposure, -5=high exposure) for AI Exposure Risk.

Pillar Weights & Maximums

PillarFactors & WeightsRaw MaxNormalized Max
Human CognitiveJudgment(3.0), Creative(2.5), Relational(2.5),
HumanPref(2.5), Contextual(2.5)
6535
Social & InstitutionalRegulatory(3.0), Guild(2.5), Institutional(2.5),
Proprietary(2.0), Trust(2.0)
6028
Physical RealityDexterity(3.0), GeoTethering(3.0), Environment(2.5),
Exertion(2.0), Sensory(2.0)
62.521
Economic & DemandDemand(3.0), Training(2.5), EntryCost(2.5),
Polymathy(2.5), Knowledge(2.5)
6521
AI Exposure RiskAIPenetration(4.0), TaskRoutine(4.0), Data(3.5),
Output(3.5), Remote(3.0), Substitution(3.0)
105-35

Actual Calculations for "Medical Examiner"

Human Cognitive Moat
Raw: 55.0 / 65 × (29.6/35)
(5×3.0 + 3×2.5 + 4×2.5 + 4×2.5 + 5×2.5) × (35/65) = 29.6
Social Institutional Moat
Raw: 45.5 / 60 × (21.2/28)
(4×3.0 + 3×2.5 + 4×2.5 + 3×2.0 + 5×2.0) × (28/60) = 21.2
Physical Reality Moat
Raw: 53.0 / 62.5 × (17.8/21)
(4×3.0 + 5×3.0 + 4×2.5 + 3×2.0 + 5×2.0) × (21/62.5) = 17.8
Economic Demand Moat
Raw: 54.5 / 65 × (17.6/21)
(4×3.0 + 5×2.5 + 4×2.5 + 4×2.5 + 4×2.5) × (21/65) = 17.6
Ai Exposure Risk
Raw: 49.0 / 105 × (-16.3/35)
(2×4.0 + 3×4.0 + 2×3.5 + 2×3.5 + 4×3.0 + 1×3.0) × (35/105) = -16.3

Total Score Calculation

Base Score = 69.9
Conditional Modifiers Applied:
  • Physical Dexterity (4) ≥4 AND GeoTethering (5) ≥4 → +5 points
  • Judgment Stakes (5) ≥4 AND Human Preference (4) ≥4 → +4 points
Final Score = 69.9 + modifiers = 78.9

Note: Pillar scores are normalized to ensure the total score fits within the 0-100 range. The maximum possible score with all positive factors at 5 and all negative factors at -1 (minimal AI exposure) is approximately 100, placing it in the FORTRESS grade band.