Our Approach
The AI Awareness Report combines industry research, occupation data, AI capability analysis, and your specific job characteristics to provide a personalized assessment of how AI will impact your role.
We believe in being transparent about both what we know and what we don't. Our analysis is directional and strategic—not predictive. We help you understand general trends and position yourself accordingly, but we don't claim to predict exact timelines or guarantee specific outcomes.
Data Sources
Our analysis draws from multiple credible sources:
Academic Research
- Frey & Osborne (Oxford, 2013) - Foundational automation risk research
- McKinsey Global Institute automation studies
- MIT Work of the Future task force reports
- Stanford AI Index annual reports
Government & Industry Data
- U.S. Bureau of Labor Statistics O*NET database (task-level occupation data)
- Occupational Outlook Handbook (employment projections)
- World Economic Forum Future of Jobs reports
- Pew Research Center workforce studies
AI Capabilities Research
- OpenAI, Anthropic, and Google AI research publications
- Real-world AI tool performance (ChatGPT, Claude, specialized industry tools)
- Industry-specific AI adoption case studies
Market Observations
- Documented AI adoption in specific industries (legal, accounting, healthcare)
- Vendor claims vs. actual implementation results
- Professional network discussions and firsthand accounts
Assessment Process
1. Job Characteristic Analysis
We analyze your role across multiple dimensions:
- Task Type: Routine vs. creative, analytical vs. interpersonal
- Digital Content: Percentage of work that's computer-based
- Industry Context: AI adoption pace in your sector
- Current AI Usage: Your and your industry's current AI engagement
2. Risk Scoring Methodology
We calculate an AI impact score (0-100) based on:
- Task replaceability (how closely your tasks match current AI capabilities)
- Industry adoption trends (how quickly your sector is implementing AI)
- Work characteristics (physical vs. digital, routine vs. creative)
- Human-centric factors (judgment, relationships, specialized expertise)
3. Contextual Analysis
Numbers alone don't tell the full story. We consider:
- Regulatory barriers to AI adoption in your industry
- Capital requirements for implementation
- Customer preference for human interaction
- Complexity and edge cases in your work
What Our Scores Mean
Low Impact (0-39): Core duties are largely resistant to current AI capabilities. Focus on incremental efficiency gains.
Moderate Impact (40-69): Significant automation of routine tasks likely, but strategic/judgment work remains valuable. Proactive adaptation recommended.
High Impact (70-100): Substantial role transformation expected. Urgent repositioning toward AI-resistant skills and higher-value work needed.
Premium Report Recommendations
Our comprehensive reports provide:
- Task-level breakdown: Which specific duties are automatable vs. defensible
- Skill development plan: Six strategic skills to develop based on your role and industry
- 12-month action plan: Quarterly milestones for repositioning yourself
- LinkedIn optimization: How to signal AI-resistant value in your professional presence
- Career pivot options: Adjacent roles with better AI resistance profiles
⚠️ Important Limitations
This analysis is based on current AI capabilities and market trends as of March 2026. Technology evolves rapidly, and actual outcomes may vary significantly. This is informational analysis, not career counseling, employment advice, or guaranteed predictions. Individual circumstances differ from general patterns. We cannot predict specific company decisions, exact timelines, or guarantee career outcomes. Use this assessment as one input among many in your career planning.
Our Commitment to Accuracy
We commit to:
- Regular updates: Quarterly review of AI capabilities and industry trends
- Conservative bias: When uncertain, we err on the side of caution
- Confidence levels: We distinguish between high-confidence findings and emerging trends
- Multiple scenarios: We present conservative, moderate, and accelerated adoption timelines
- Transparency: We acknowledge what we know, what we don't, and where we're making educated guesses
Questions About Our Methodology?
We're committed to transparency. If you have questions about how we arrived at your assessment or want more detail about our data sources, please contact us.