THE SHORT ANSWER

Develop AI skills and human skills as complements. AI literacy helps you direct and evaluate systems; domain knowledge supplies context; judgment handles ambiguity and consequence; communication and execution turn analysis into coordinated action.

Technical versus soft is the wrong split

A technically impressive answer can fail because the objective was wrong. Strong communication cannot rescue an analysis nobody verified. Effective performance often requires AI capability + domain knowledge + human judgment + communication + execution.

Assign a purpose to each capability

A capability stack
CapabilityQuestion it answers
Domain knowledgeWhat does good work mean here?
AI literacyWhat can this system do, and where can it fail?
JudgmentWhat deserves trust and what decision follows?
CommunicationHow will people understand, challenge and coordinate?
ExecutionCan the decision become a reliable result?

Complementary skills matter because tasks are mixed

OECD evidence distinguishes advanced AI creation from the broader digital, analytical and managerial skills used across work. UNESCO's student framework similarly joins technical understanding with human agency, ethics and system design rather than treating tool operation as sufficient.

Evidence & context: OECD · UNESCO

Strengthen the weakest link in a work sample

  1. Choose one completed piece of work.
  2. Mark where domain knowledge changed the answer.
  3. Mark where AI helped and where verification was needed.
  4. Ask whether the result was understood and used.
  5. Choose one weak capability to practise in the next version.

Sources & further reading

  1. Skills in the AI Age

    OECD. A 2026 synthesis of cross-country evidence on AI adoption, task change and complementary skills. Country, sector and firm differences mean its findings do not produce one universal skills ranking.

  2. AI competency framework for students

    UNESCO. An educational framework covering human agency, ethics, techniques and system design; not a forecast of specific jobs.

  3. AI Risk Management and Human-AI Interaction

    NIST AI Resource Center. Official guidance on different human and AI decision roles and oversight. Appropriate reliance depends on context, consequence and system evidence.

Examples and exercises are illustrative unless attributed to a source. No independent expert review is claimed.

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