AIRS isn't another personality quiz dressed up as an assessment. It's a validated research instrument built on doctoral-level psychometric methodology — developed by Fabio Correa, Director of Analytics & Data Science at Microsoft, as part of his doctoral research into AI capability development in knowledge work.
The instrument was tested with 500+ real subjects across industries and roles before publication. It correctly identifies readiness profiles 94.5% of the time and supports multiple languages.
The methodology behind it
Tested across industries, roles, and experience levels before publication
Validated through rigorous psychometric analysis and cross-validation
Localized assessments and personalized reports in the respondent's own language
Based on established technology adoption theory adapted for AI readiness
The theoretical foundation draws on the Unified Theory of Acceptance and Use of Technology (UTAUT), adapted with constructs specific to AI collaboration: perceived enjoyment, value-cost ratio, habit formation, and institutional trust. These eight dimensions predict not just whether someone will use AI, but whether they'll use it effectively.
Eight dimensions of AI readiness
Each dimension measures something real — a factor that research shows actually determines how people adopt and succeed with AI tools:
| Dimension | What it measures |
|---|---|
| Usefulness | Do I believe AI will genuinely make me better at my job? |
| Ease of use | Does this feel approachable enough that I'll actually use it? |
| Social environment | Are colleagues and managers encouraging me to engage with AI? |
| Support & resources | Does my organization provide the tools and training I need? |
| Enjoyment | Do I find AI genuinely interesting or fun to explore? |
| Value-cost ratio | Is the payoff worth the effort to learn? (Research shows this is the single strongest predictor.) |
| Habit | Has AI become a natural part of how I work, or does it still feel like extra effort? |
| Trust | Do I feel confident that AI is reliable and handles my information responsibly? |
Three readiness profiles
Your score places you in one of three evidence-based profiles, each with a personalized action plan:
What you receive
- AIRS Score — a number from 8 to 40 pinpointing your current readiness
- Readiness profile — Skeptic, Moderate, or Enthusiast, with a clear explanation of what it means for you
- Personalized action plan — written in your language, tailored to your context, ready to act on
- PDF report — save or share with your manager, HR team, or leadership
- Progress tracking — retake anytime to measure growth over time
For teams and organizations
AIRS scales from individual reflection to enterprise-wide readiness mapping. Leaders use it to understand where their workforce stands before rolling out AI tools, designing training, or planning change initiatives.
- Team readiness dashboard — AI readiness broken down by team, department, or role
- Invite and track participants — distribute the assessment and monitor completion
- Organizational reports — understand the gaps and prioritize investment
- Data export — take results into your own analytics and reporting tools
Putting research into practice
AIRS connects doctoral research on AI capability development with practical readiness assessment. It helps individuals and organizations identify where focused training, stronger governance, or better implementation support is needed.
Useful links
- Take the assessment — free, 5 minutes, no signup required
- User guide — how to read your results and share your report
- For organizations — set up team assessments
- AI Adoption Framework — Assess → Train → Measure