# Application of the Analysis Framework (https://doi.org/10.5281/zenodo.18821830)

## 1. Job Composition (Total 100%)

Estimate the percentage breakdown of:

* **Thinking** (analysis, planning, creativity): _____%
* **Physical** (movement, dexterity, strength): _____%
* **Social** (communication, emotional intelligence): _____%
* **Perception** (seeing, hearing, feeling): _____%
* **Adaptation** (handling changing environments): _____%

## 2. Human Advantage Score (1-10 for each component)

For each component, take into account the job specific activities, and score how much advantage humans have:

* **1-3**: AI already good or improving rapidly
* **4-6**: AI partially capable but significant gaps
* **7-10**: AI struggles significantly

## 3. Calculate Job Resilience Score

* Multiply each component's percentage by its Human Advantage Score
* Add them together for a weighted total out of 10
* Apply experience modifier: Beginner (-1), Advanced (0), Master (+1)

## 4. Interpret Results

* **Below 4**: High Risk (machines are overtaking the job in 1-5 years)
* **4-6**: Medium Risk (5-10 years)
* **Above 6**: Low Risk (10+ years)
* **Above 8**: Very Low Risk (15+ years or indefinite human advantage)

## 5. Adoption Factors Check

Ask these questions:

1. Is the job's compound annual salary significantly higher than potential AI or robot implementation costs?
2. Would replacing humans provide substantial benefits beyond cost savings?
3. Would the implementation cost of an AI or robot solution be prohibitively expensive for the foreseeable future?
4. Does the job involve performance or service where human authenticity itself is inherently valued?

If any of the answer to questions 1 or 2 is "yes," move the job up one risk level.  \
If any of the answer to questions 3 or 4 is "yes," move the job down one risk level.