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Design an accessible visual from a fictional brief

Visual designer

AI exposure does not mean job loss.

Sources have been checked. Cards are AI-assisted educational scenarios; independent expert editorial approval is still pending.

What could change in this task?

AI can help suggest variations on an idea and rough layouts. A person reviews the output for originality, rights, brand context and accessibility.

Where does human responsibility remain?

The designer evaluates visual hierarchy, cultural meanings and the real setting in which the work will be used. Preparing a usable final file and checking rights remain human responsibilities.

What don't we know yet?

Licences for visual resources, brand rules and the cultural meaning of symbols can vary by country and organisation. AI output may create similarity, misrepresentation or accessibility problems.

Transferable skills

Visual hierarchyAccessibility thinkingCopyright awareness

Your first learning step

Do not upload real customer, employee, financial or personal data to AI tools.

  1. 25 min: Sketch two black-and-white layouts from a fictional school-event brief and compare the headline with the call to action.
  2. 30 min: Verify the one factual claim on the fictional poster with a reliable source; label it “unverified” if you cannot confirm it.
  3. 20 min: Check the draft for colour contrast, text size, alternative text and non-colour cues; use only your own or royalty-free elements.

Take a minute to think

Which decision in this design could be misunderstood without human context?

WorksheetCompare two tasks

Related tasks

Turn a fictional brief into clear contentDesign a safe reply to a fictional customer question
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General research behind this card

These studies support general changes in tasks and skills. The practice example is not a measured career outcome in the report or a forecast for Türkiye.

OECD

Artificial intelligence and the changing demand for skills in the labour market

April 10, 2024

Examines how AI changes work tasks and required skills; workers without specialist AI skills may also be affected.

Evidence scope
The verified abstract finds that AI changes the tasks and skills of the most exposed workers, even when they have no specialist AI skills. It uses multi-country job postings and is not a prediction for Türkiye.
Underlying data
Job postings covered by the publication; see the original methods section for the period.
Use / license
OECD terms · pre–July 2024

Use with attribution as a modified educational adaptation; this is not a translation of the full report and does not imply institutional endorsement.

Read the original publicationTerms of use
ILO

Generative AI and Jobs: A Refined Global Index of Occupational Exposure

May 20, 2025

Clerical and digitised tasks may be exposed; transformation is more likely than replacement of the whole job.

Evidence scope
This is a global task index using Polish classifications, worker and expert assessments, and ISCO-08 mapping. It does not measure observed job loss.
Underlying data
A 2025 task assessment and model output, not measured future job loss.
Use / license
CC BY 4.0

Use as a modified educational adaptation; it was not prepared, reviewed, or endorsed by the ILO and includes no third-party materials.

Read the original publicationTerms of use
OECD

AI and skills: What we know so far

June 5, 2026

The evidence is interpreted around digital, problem-solving, creativity, and training; it does not guarantee a universal skill or job outcome.

Evidence scope
It draws on multi-country surveys with sector and sample limitations and is not an occupation forecast for Türkiye.
Underlying data
The latest underlying evidence is from late 2024; the publication is from 2026, but the data are not 2026 data.
Use / license
CC BY 4.0

Use as a changed short educational adaptation; it does not represent OECD views, and do not use OECD logos.

Read the original publicationTerms of use