Imagine a hypothetical applicant with a folder full of certificates and an empty page titled “Examples of my work”.
They have studied seriously. They have completed the modules, passed the quizzes and added the badges to their profile. Yet when an employer asks how they would handle an ordinary problem, the answer becomes difficult.
The missing piece may be practice. Or it may be that they have never learned to make their practice visible.
For someone building a career in Europe, this is a useful distinction. Before paying for another certificate, ask: what can I already demonstrate—and what would an employer still need to verify?
Skills-first does not mean qualifications have disappeared
The OECD’s June 2026 report, A Skills-First Labour Market, examines approaches that place demonstrated skills at the centre of hiring and development. Its cross-country analysis also finds uneven adoption: qualifications and professional experience remain important signals, and removing qualification requirements alone does not necessarily widen opportunity. [1]
This is an assessment across OECD countries, not evidence that every European employer has stopped screening for degrees.
My practical reading is that applicants should prepare for both worlds. Present the qualifications a role genuinely requires, while making your ability to do the work easier to assess.
If a vacancy states an essential qualification, do not assume a portfolio cancels it. Where equivalent experience is mentioned, ask what evidence the employer accepts.
For regulated work, confirm formal requirements with the responsible national authority. A hiring slogan cannot settle professional eligibility.
There is room for hope here. There is also a reason to read the actual vacancy.
A claim and a demonstration answer different questions
“I can analyse data” is a claim.
A small analysis showing the question, source, checks, interpretation and limitations gives someone a way to examine that claim.
Consider a hypothetical applicant for an operations role. They create a practice exercise using fictional delivery records. They identify missing entries, explain how they would investigate them and prepare a short update for a manager.
They label it clearly: independent practice project, fictional data, no client involvement.
The exercise does not prove they can handle every pressure of a live workplace. It does make their reasoning available for discussion.
That is the purpose of a work sample. It gives the conversation something concrete to stand on.
For applicants whose previous employers or qualifications are unfamiliar to the recruiter, I would use this as an additional explanation of relevant experience. It cannot remove discrimination, guarantee attention or substitute for required credentials.
Build something small enough to explain
You do not need a spectacular personal project.
Choose one ordinary responsibility from a real vacancy. Then create a bounded demonstration that you can explain without a script.
A support applicant could draft responses to fictional customer situations and explain when they would escalate. A junior analyst could clean a public dataset and document the checks. A designer could explain one decision in a self-initiated interface study.
Keep the task relevant to your level. A beginner should not pretend to have delivered a production system.
Include the starting problem, your approach, the result and what remains uncertain. State whether the work was paid, academic, voluntary or independent practice.
If you use an existing project, distinguish your contribution from the team’s. Obtain permission before sharing employer material; otherwise use a separate public or fictional example.
The useful question is not “Does this look impressive?” It is “Can someone understand what I did and ask me a fair question about it?”
AI makes the explanation more valuable
The ILO’s May 2025 research assesses potential generative-AI exposure through tasks, combining worker input, expert assessment and model predictions. It concludes that transformation is more likely than wholesale redundancy for most jobs because human input remains necessary. This is a global exposure assessment, not a measurement of European job losses. [2]
My inference for applicants is that a polished output needs an explanation of the judgment behind it.
If AI helped with your sample, say where. Explain what you checked, what you changed and which decisions you made yourself. Follow any assessment rules the employer gives you.
For the fictional delivery exercise, AI might suggest categories for missing information. The applicant still needs to inspect the records, reject unsuitable categories and explain why the final approach works.
Practise answering a changed question: what if a date is wrong, a customer disputes the record or the dataset is incomplete?
This is preparation for discussing your work, not a prediction that all European interviews will become live tests.
Use AI to challenge your understanding. Do not use it to manufacture experience you cannot defend.
Keep certificates, but understand what they establish
A certificate can document a learning experience. Its usefulness depends on what was taught, assessed and recognised by the people evaluating it.
Europass explains that European Digital Credentials for Learning can represent diplomas, training certificates and other learning records. They include checks that help viewers verify the credential’s origin, validity and authenticity. [3]
Those technical checks are useful. They do not, by themselves, establish suitability for a particular vacancy.
Before taking another course, identify the gap you need to close. Is it missing knowledge, supervised practice, a required qualification or evidence of skills you already possess?
Ask what the assessment involves and what you will be able to demonstrate afterwards.
A course may be exactly the right investment. Make its purpose specific enough that you can judge whether it delivered.
Show evidence without offering unlimited unpaid work
There is a difference between a reusable practice sample you choose to create and an employer’s substantial business assignment.
If a hiring task arrives, ask about its expected duration, evaluation criteria, permitted tools and how the work will be used. For a substantial assignment, discuss compensation or a smaller alternative.
These are practical boundaries to consider, not a statement of uniform European law.
You can offer an existing sample and a walkthrough. You can explain that a proposed task needs a clearer scope.
An employer is assessing your work. You are also assessing whether its process respects your time.
Make your next application easier to understand
Choose one suitable vacancy this week.
Find its most important practical responsibility. Select an existing example or create a modest practice sample. Write a short explanation that separates your contribution, your tools and the limitations.
Then ask someone to challenge one decision. Revise what you cannot explain clearly.
Add the relevant link or project description to your CV where the application format permits it. Keep your qualifications visible and your claims accurate.
Your experience deserves more than a list of labels. Give a prospective employer something they can understand, question and discuss.
Sometimes the next useful step towards Europe is not another badge. It is showing what you can do with what you have already learned.
Your next practical step
Use Best CV Tool to connect a relevant project to the role you want. Describe your own contribution, label practice work clearly and include only skills you can explain.
Build your evidence-led CV →Sources and further reading
- OECD: A Skills-First Labour Market (18 June 2026)
- ILO: Generative AI and Jobs—A Refined Global Index of Occupational Exposure (20 May 2025)
- Europass: European Digital Credentials for Learning (accessed 6 November 2026)
About the author
Fahad Khan is a Berlin-based UI/UX and product designer and the founder of Best CV Tool. He writes The European Offer Letter about building a career in Europe as work and hiring change.
