AI is flooding hiring pipelines — and most of the tools claiming to fix it are making the noise worse. Automated outreach, AI-generated applications, and screening tools that were never built for the volume they're now processing: the signal-to-noise problem in recruiting has never been worse.

The teams navigating it best aren't the ones with the most sophisticated tech stack. They're the ones who stayed clearest about what a good hire actually looks like — and built their process around finding that, not processing everything.

Julia Arpag, Founder and CEO of Aligned Recruitment, has spent over a decade placing talent at high-growth tech companies and she's watching the same mistake repeat itself: teams outsourcing judgment to automation and wondering why the humans they hire keep disappointing them. In this episode of Looks Good on Paper, she breaks down what's actually shifting in hiring right now, why people-first recruiting is harder than it sounds when the tech is moving this fast, and what separates companies getting great hires from the ones spinning their wheels.

What you'll learn:

→ What AI is actually doing to hiring pipelines in 2026 versus what vendors claim

→ Why people-first recruiting is harder to maintain as automation scales

→ What the companies making the best hires right now have in common

GUEST

Julia Arpag — Founder & CEO, Aligned Recruitment

LinkedIn → https://www.linkedin.com/in/julia-arpag/

YOUR HOSTS

Anita Chauhan — Fractional CMO, co-host

LinkedIn → https://www.linkedin.com/in/anitachauhan/

In this episode:

0:00 Introduction

2:27 The biggest hiring mistake companies keep making

3:08 Why "culture fit" leads to homogeneity

3:34 Skills assessments for every role, not just technical ones

6:23 Hidden biases even progressive companies have

9:04 What hiring looks like without resumes

10:49 "It's just robots hanging out"

11:08 Calling candidates to reject them instead of emailing

11:43 Julia's husband's nonprofit-to-tech pivot story

LISTEN & FOLLOW

Spotify → https://open.spotify.com/show/0dbfz6y0tMq3crViHQD66H

Apple Podcasts → https://podcasts.apple.com/podcast/id1625835562

All episodes → https://looksgoodonpaper.buzzsprout.com

WATCH ON YOUTUBE - https://youtu.be/8ukiBXAZKRw

POWERED BY WILLO

Hire humans, not resumes → https://www.willo.video/looks-good-on-paper

CONNECT WITH US

LinkedIn → https://www.linkedin.com/company/10170893

If this episode changed how you think about hiring, share it with one person who needs to hear it. And subscribe — we're rewriting the rules of hiring, one episode at a time.

The signal-to-noise problem in hiring has reached a critical point. AI-generated applications have made volume metrics meaningless, and automated screening tools trained on historical data replicate historical bias at scale. The companies making the best hires in 2026 are the ones who have stayed clear about what good looks like — and built their process around finding that rather than processing everything.

Show Resources

• Willo: willo.video - The most cost-effective way to screen candidates at scale. Interview candidates anywhere & at any time
• CV Free Toolkit: cvfree.me/join - Break up with the CV and get everything you need to modernize your hiring approach with skills-based assessments
• Anita Chauhan: linkedin.com/in/anitachauhan - Connect with the host