AI DNA
A layer on top of your Human DNA that answers one question: how do you grow as AI gets better at more tasks? It is about amplification and your human edge — never a risk-of-replacement score.
What AI DNA is
AI DNA treats AI as a tool that amplifies human ability. It maps how ready you are to use AI safely, verify its work, and keep developing the strengths that stay durable as the tools improve. Every recommendation is human decision-support only — you remain the final decision-maker.
Three things it gives you
- Use AI well — know what AI is genuinely good at (drafting, summarizing, searching, generating many options) and how to delegate to it safely.
- Watch the right things — learn where AI output needs checking: evidence, edge cases, privacy, and impact on the people and stakeholders involved.
- Know what you gain — see the durable human strengths AI cannot take over, plus a concrete plan to keep growing them.
The 10-dimension radar
Your readiness is plotted across ten dimensions — a mix of human edge, AI collaboration, and future fit. The radar shows where you are strong today and where the next useful step is. Hover or tap any point to see its score out of 100 and a one-line summary.
What the ten dimensions mean
- Problem Framing — define the right question, constraints, and success criteria before using AI.
- Domain Judgment — apply field-specific judgment instead of accepting generic AI output.
- Verification Rigor — check evidence, edge cases, and failure modes in AI-assisted work.
- Contextual Intelligence — read culture, timing, local reality, and stakeholder context.
- Creative Taste — choose what is resonant, original, useful, and worth shipping.
- AI Collaboration — delegate safely to AI tools and integrate the output into real workflows.
- Human Trust — build trust, motivate people, repair misalignment, and communicate with care.
- Ethical Accountability — own privacy, fairness, safety, and the consequences of AI-assisted decisions.
- Learning Agility — keep adapting skills and workflows as AI capabilities move.
- Energy Stewardship — use AI to reduce drain and protect sustainable human performance.
Reading AI Amplification + Confidence
The headline is your AI Amplification level — Advanced, Strong, Building, or Needs data. It reflects how ready you are to use AI safely and keep developing durable strengths, not a verdict on your worth.
Beside it sits a Confidence bar. It rises as your WorkDNA, skill evidence, work tasks, and feedback signals become more complete. Low confidence means 'not enough data yet' — never 'you scored low'. Treat early guidance as a starting point and add evidence before any major decision.
The Task Map
AI DNA sorts your work into four buckets: Delegate to tools (repeatable, low-context), AI-assisted (draft and analyze, then verify), Human-owned (judgment, trust, accountability), and Preserve for learning (practice worth keeping by hand). It is task-level guidance — a map of the work, not a label on you.
Why we recommend this — the evidence panel
Every AI DNA recommendation is grounded in cited research, shown in the Research basis panel so you can see why it is credible. Figures are tagged measured vs. projection, and skeptical findings are kept, not hidden.
Sources are grouped into labour-market & AI research, Thailand / Southeast Asia, and measurement & psychometrics — and each human-edge strength lists the concrete signals behind it (your skills, Human DNA, and role playbook fit).
Our honest stanceTask-level, augment-not-replace — never a person-level replacement score. There is no black-box AI judge. A growth priority or low score is never a verdict; it points to development, a better-fit role, or redesigned work where a human keeps clear ownership.