New research Early-career hiring in the AI era

Hiring for potential: how the best teams find tomorrow’s talent

AI can write a strong resume, cover letter or take-home in seconds, so it’s harder than ever to tell who can actually do the job. Kyle & Co and CoderPad surveyed 271 HR and TA leaders to find out what still works.

You’ll learn

  • Which hiring methods still show real potential
  • The one practice that sets top employers apart
  • Why telling candidates your AI rules makes resumes useful again
  • Six steps to improve early-career hiring, easiest first
Report cover: Early-Career Hiring in the AI Era, by Kyle & Co, sponsored by CoderPad

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HR & TA leaders surveyed
271
Seniority range
Manager to CHRO
Employees per company
50 to 50,000+
Talent leaders interviewed
Lyft & Box

By the numbers

What 271 hiring leaders told us

Employers know what makes a great early-career hire. Their hiring process hasn’t caught up.

  • Employers value judgment, but don’t screen for it.

    87% value skill and judgment over AI fluency

    Of nine qualities employers screen early-career candidates for, judgment comes last.

  • Clear AI rules double the resume’s signal.

    Share of employers who say the resume gives them “a lot” of signal.

  • Employers hire for potential, but screen with the past.

    More than half of what employers screen for is potential, yet the resume is the first tool they reach for.

Get the full data Every chart and breakdown is in the free report.

How do we hire for potential and slope? People who can adapt in a new environment and grow with it, and have agency to move and change quickly.

Lyft Vivian Chen · Principal Recruiter

Almost everyone’s going to have a pretty high score on the take-home portion. The live interview is definitely the biggest indicator of how well they really do.

Box Megan Yip · University Recruiting

See how Lyft and Box hire for potential

What’s inside

Six findings on early-career hiring

What’s working, what isn’t, and what the employers getting the best early-career hires do differently.

  1. 01 The fear

    The top AI worry hasn’t changed how teams hire

    Employers fear a workforce that can’t adapt to AI. They still screen the way they always have.

  2. 02 Potential

    Hiring for the future with tools about the past

    Employers say they want potential, but most of their tools measure history.

  3. 03 Early career

    Early-career is where process matters most

    With little work history to go on, quality of hire depends on how well your process tests what candidates can do.

  4. 04 New skills

    Almost no one tests what’s new

    The two skills AI made newly important are the two employers assess least.

  5. 05 AI rules

    Unclear AI rules, not AI, weakened the resume

    The cheapest fix in the report: tell candidates what AI use is allowed.

  6. 06 Observation

    Employers who watch candidates work are ahead

    The more observed methods an employer uses, the more likely it is to rate itself ahead on quality of hire.

Plus: the playbook

Six practical steps to close the gap, easiest first.

Get the report + playbook

About the research

A research partnership between Kyle & Co and CoderPad

Kyle & Co CoderPad

About Kyle & Co: A modern research and advisory firm helping HR and talent technology leaders make smarter decisions, faster.

Method
Survey + practitioner interviews
Interviews conducted by Kyle & Co
Seniority
3 in 5+ director level or above
All involved in early-career hiring
Data quality
Screened responses
Attention checks, fraud traps and plausibility checks
Analysis
Independent, by Kyle & Co
Conclusions are Kyle & Co’s alone

Hire for potential, with proof

Six findings and a six-step playbook from 271 HR and TA leaders.

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