Analysis of Results
Patterns and insights across occupations, themes, and AI resilience
Seeded dataset
Across all roles
Accountant
Therapist
Occupation Breakdown
Filter and explore all occupations
| Occupation | Human Strength | AI Exposure | Future Resilience | Rating |
|---|---|---|---|---|
| Nurse | 92% | 34% | 88% | High |
| Truck Driver | 45% | 87% | 28% | Low |
| Judge | 89% | 41% | 82% | High |
| Artist | 95% | 52% | 79% | Medium |
| Accountant | 48% | 91% | 32% | Low |
| Teacher | 88% | 38% | 85% | High |
| Software Engineer | 72% | 78% | 65% | Medium |
| Therapist | 97% | 22% | 94% | High |
| Warehouse Worker | 41% | 83% | 31% | Low |
| Doctor | 91% | 45% | 84% | High |
Key Insights
Occupations requiring empathy, emotional intelligence, and human judgment score highest in future resilience — averaging 89% across care-focused roles.
Roles with over 80% AI exposure show an average resilience of just 30%. The higher the automation risk, the lower the future outlook.
Despite moderate AI exposure (52%), creative occupations maintain high resilience (79%) due to irreplaceable human originality and expression.
Software engineers face high AI exposure (78%) yet moderate resilience (65%), suggesting augmentation rather than full replacement as the likely future.
This analysis is based on the initial seeded dataset of 10 occupations across multiple themes. Scores reflect AI-generated assessments of human-centric strength, AI exposure risk, and future resilience for each occupation.
As more occupations are added and more users complete assessments, this analysis will become richer and more statistically meaningful.
Analysis and visualization contributed by Shawaiz as part of the AIxponential initiative.