How to Evaluate Early-Career Candidates on Their AI Skills
A Clear, Confident Approach for Assessing Judgement
Great candidates are still out there. Here's how to find them.
AI is changing how students apply, prepare, and present themselves, and that's an opportunity for hiring teams who know what to look for. Inside, you'll find a clear process to spot real judgment, curiosity, and capability in every candidate you talk to.
What you'll learn in this guide
Traditional hiring signals can tell you what a candidate submitted. They don't always tell you what's actually behind the work. This guide gives employers a practical framework for looking deeper, including:
- How AI is making traditional hiring signals harder to trust
- The difference between evaluating AI tools and evaluating AI judgment
- Follow-up prompts that invite candidates to go deeper and show their thinking
- Weak vs. strong answer examples so you can score consistently across interviews
- Why real, project-based work is still the strongest evidence of all
Ready to hire with more confidence?
Download the guide for a practical framework for recognizing great early-career talent in the age of AI.