Physician Assistant

Loaded from database
82.6
FORTRESS(80–100)
Healthcare
High Income

Summary

Physician Assistants (PAs) face a moderate risk of AI displacement. While AI can assist with diagnostics and administrative tasks, the core of their role—patient interaction, complex decision-making, and procedural skills—requires a high degree of human judgment and empathy.

Future Outlook

PAs will increasingly leverage AI for diagnostic support, treatment planning, and administrative efficiency, allowing them to focus more on direct patient care and complex cases. Their role is likely to expand in scope, incorporating more advanced procedures and patient management, making them even more integral to the healthcare system.

Pillar Scores

Human Cognitive Moat
31.0 / 35
Social & Institutional Moat
23.3 / 28
Physical Reality Moat
16.1 / 21
Economic & Demand Moat
17.0 / 21
AI Exposure Risk
-18.8 / 35

Score Comparison

Sector Comparison: Healthcare

No data available
0255075100
This Career
82.6

Global Comparison

No data available
0255075100
This Career
82.6
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 (4) ≥4

Bonus applied to total score

Regulatory & Guild Protection

+5

Regulatory Mandate (4) ≥4 AND Guild Density (4) ≥4

Bonus applied to total score

Judgment & Human Preference

+4

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

Bonus applied to total score

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

Key Strengths

  • Complex patient interaction and relationship building.
  • Integrated clinical judgment and contextual reasoning in varied patient scenarios.
  • Procedural skills requiring fine motor control and adaptability.

Key Vulnerabilities

  • Diagnostic support and treatment plan generation through AI.
  • Administrative tasks such as charting and billing automation.
  • Interpretation of medical images and lab results.

How to strengthen your moat

The factors where a change in how you work would raise this score the most. Estimates use the same formula as the score itself and show direction, not guarantees.

  1. Creative Synthesis

    Currently 3 could reach 5+2.7 pts

    Spend more time on work that combines ideas in new ways, such as framing problems, designing approaches and originating proposals, instead of applying a fixed template.

  2. AI Penetration

    Currently -3 could reach -1+2.6 pts

    Learn the AI tools already used in your field and make them part of how you work. Oversight, integration and quality control of AI output are growing roles.

  3. Task Routineness

    Currently -3 could reach -1+2.6 pts

    Shift your time from repeatable, rule-based tasks (the easiest to automate) toward exceptions, non-standard cases and work where every situation is different.

Adjacent Careers

Related paths, with how their AI Moat Score compares to this career's 82.6.

  • Nurse Practitioner (NP)

    Very similar moat, strong emphasis on patient care and autonomous practice.

  • Medical Doctor (MD)

    Stronger moat due to ultimate responsibility, complex surgical interventions, and leadership roles.

  • Registered Nurse (RN)

    Weaker moat in diagnostics but strong in direct patient care, physical tasks, and emotional support.

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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 "Physician Assistant"

Human Cognitive Moat
Raw: 57.5 / 65 × (31.0/35)
(5×3.0 + 3×2.5 + 4×2.5 + 5×2.5 + 5×2.5) × (35/65) = 31.0
Social Institutional Moat
Raw: 50.0 / 60 × (23.3/28)
(4×3.0 + 4×2.5 + 4×2.5 + 4×2.0 + 5×2.0) × (28/60) = 23.3
Physical Reality Moat
Raw: 48.0 / 62.5 × (16.1/21)
(4×3.0 + 4×3.0 + 4×2.5 + 3×2.0 + 4×2.0) × (21/62.5) = 16.1
Economic Demand Moat
Raw: 52.5 / 65 × (17.0/21)
(5×3.0 + 4×2.5 + 4×2.5 + 4×2.5 + 3×2.5) × (21/65) = 17.0
Ai Exposure Risk
Raw: 56.5 / 105 × (-18.8/35)
(3×4.0 + 3×4.0 + 2×3.5 + 3×3.5 + 4×3.0 + 1×3.0) × (35/105) = -18.8

Total Score Calculation

Base Score = 68.6
Conditional Modifiers Applied:
  • Physical Dexterity (4) ≥4 AND GeoTethering (4) ≥4 → +5 points
  • Regulatory Mandate (4) ≥4 AND Guild Density (4) ≥4 → +5 points
  • Judgment Stakes (5) ≥4 AND Human Preference (5) ≥4 → +4 points
Final Score = 68.6 + modifiers = 82.6

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.