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AI Can Fake Your Portfolio, But Not the Real Skill

In job interviews, real talent emerges beyond AI-generated artifacts through live testing.

UX Collective - Medium2 min

1AI and Portfolios

AI has made it easy for designers to create portfolios and case studies. However, this technology cannot measure real talent and judgment. Employers now focus more on candidates' live performance than their portfolios.

2The Room Test Concept

The room test is a method that measures candidates' real-time, unprepared problem-solving skills. This test reveals the candidate's true ability beyond AI-generated materials.

3Design Thinking and Communication

A designer's ability to explain how they apply concepts like design thinking is crucial. This shows not only their theoretical knowledge but also their practical skills.

4Importance of Real Projects

Candidates' ability to explain the decision-making process in real projects is far more valuable than AI-generated artifacts. Details like why identity verification came first in a banking app reflect real experience.

5Limits of AI

AI can generate visual and textual content but cannot mimic the logic and decision-making behind a real project. Therefore, employers are now asking deeper questions.

6Power of Live Questioning

A candidate's inability to answer a question like 'What almost shipped instead?' raises doubts about the project's authenticity. Live questioning tests the candidate's creative process and decision-making.

7Future of Portfolios

Traditional portfolios are being replaced by continuously updated content reflecting real projects. Writings, talks, and experiments are too personal to be faked by AI.

8Employers' New Approach

Employers are focusing more on candidates' live performance and communication skills than their portfolios. This has become the most effective way to measure real talent in the AI era.

9Writers' Experience

Writers faced AI's text-generation capability a year earlier. Similarly, designers are now confronting this challenge. Real talent emerges through testing beyond artificial products.

10Continuous Learning and Sharing

For designers, continuous learning and sharing have become distinguishing traits in the AI era. Blog posts, talks, and experiments are new ways to prove real talent.

11Future of Job Interviews

By 2026, job interviews will rely more on live tests than portfolio reviews. Candidates' real-time problem-solving and communication skills will be at the heart of the hiring process.

12Discovering Real Talent

AI can fake portfolios, but not real talent and judgment. What truly matters to employers is candidates' live performance and decisions in real projects. This forms the foundation of the future hiring process.

Original article: UX Collective - Medium — Yapay Zeka Portföyünüzü Taklit Edebilir, Ancak Gerçek Yeteneği Değil