How to spot early-career potential beyond the resume

• AI can polish an application in seconds. But an application alone cannot show you how a candidate learns, adapts, or handles a mistake. The answer is not to penalize candidates for using AI. It is to give them clear rules and opportunities to demonstrate real skills.
• Kyle & Co’s CoderPad-sponsored survey of 271 HR and talent acquisition leaders reveals a gap between what employers value and what they assess:
• 93% Agree that nearly every role now carries a technical skill requirement, not just engineering roles.
• 87% Agree that underlying skill and judgment matter more than AI tool fluency. Yet judgment—knowing when AI is wrong—ranks near the bottom of what employers screen for.
• 1 in 3 Hire early-career candidates without anyone watching them do the work before an offer.

This 45-minute live session helps HR and talent acquisition leaders turn those findings into practical hiring changes. Explore how observed work and clear AI-use guidance distinguish employers reporting stronger early-career outcomes. The findings show associations, not proof of causation.

You’ll leave ready to:

• Audit your screening process using the “tell, talk, do” framework to identify 1 gap where documents substitute for demonstrated skills.
• Draft candidate AI-use guidance covering resumes, take-home work, and live exercises, so candidates know what is permitted before they participate.
• Outline 1 observed exercise on a realistic problem, with clear criteria for interviewers to evaluate problem-solving, AI-output checking, and responses to mistakes.