How RoleMorph works
RoleMorph analyses your current role — not your job title, your actual work — and shows you how artificial intelligence will reshape it. It gives you evidence, not anxiety. A map, not a verdict.
The five-step flow
Role context
You describe your industry, seniority, organisational environment, and what your role is genuinely accountable for. This grounds the analysis in your actual context — not a generic job title.
Task inventory
You list the real things you do — not a job description. RoleMorph infers function from tasks, not titles. You organise each task by how it feels to do it: thinking hard, building something, working through people, or getting things done.
AI impact classification
Each task is classified against four categories: automate, augment with AI, human-led, or human judgment required. Classification draws on O*NET work dimensions and current AI capability research.
Future-role scenarios
Three scenario cards are generated — an immediate horizon, a transitional future, and an emerging possibility. Each scenario is a plausible version of your role as AI capabilities shift. These are starting points for thinking, not predictions.
Skills and human edge
Six exercises excavate the skills already in your role — including transferable strengths, judgment capabilities, and human-edge factors that AI cannot replicate. You get a personalised development plan grounded in your actual work.
The frameworks we use
RoleMorph is built on established research — not proprietary black-box scoring. Here's what's under the hood.
O*NET Work Activity Taxonomy
Task classificationThe US Department of Labor's occupational database defines four dimensions of work activity — information processing, creative output, interpersonal coordination, and physical/procedural execution. RoleMorph maps your tasks to these dimensions to assess AI exposure systematically.
AI Capability Horizon Model
Scenario generationThree scenario rulesets model how AI capabilities typically progress: AI-assisted (tools augmenting current workflows), AI-transformed (processes redesigned around AI capabilities), and AI-native (roles that assume AI as a core collaborator from the ground up).
Human-Edge Profiling
Skills analysisInspired by research on tacit knowledge, relational competence, and contextual judgment, this framework identifies the elements of your work that remain human-critical — not because AI can't approximate them, but because their value is inseparable from human presence and accountability.
Behavioral Incident Technique
Evidence groundingThe optional story prompts draw on structured behavioral interviewing methodology. Short real-world stories anchor the analysis in concrete evidence — making the report specific to how you actually work, not just what your role title implies.
What RoleMorph doesn't do
- RoleMorph does not predict whether your job will be eliminated. No tool can do that reliably.
- Scenarios are planning tools, not forecasts. The future is contingent on factors no model can fully account for.
- The report does not replace career advice from a human who knows your industry and context.
- Classification accuracy depends on how specifically you describe your tasks — vague inputs produce vague outputs.