Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by Jon Matzner and Peter Lohmann, Jon Matzner, and Peter Lohmann. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jon Matzner and Peter Lohmann, Jon Matzner, and Peter Lohmann or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

The Death of Cover Letters: AI, Costly Signals, and the Broken Job Market | Lazy Leverage #86

53:27
 
Share
 

Manage episode 523767798 series 3611694
Content provided by Jon Matzner and Peter Lohmann, Jon Matzner, and Peter Lohmann. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jon Matzner and Peter Lohmann, Jon Matzner, and Peter Lohmann or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

AI has fundamentally broken the traditional job application process. What’s an employer to do?

Jon and Peter dissect an academic paper titled "Making Talk Cheap: Generative AI and Labor Market Signaling," which examines how large language models have disrupted markets that historically relied on writing as a costly signal of quality. Specifically, job applications and college admissions.

Cover letters used to signal genuine candidate interest because they required significant time and effort to customize. But now, AI can generate personalized cover letters in seconds.

Peter immediately connects this to property management, noting how AI has made it trivially easy to generate fraudulent rental applications with fake pay stubs, identities, and emotional support animal letters promoted openly on TikTok.

The parallel extends to legal threats. What used to be a strong signal (a detailed legal letter citing lease terms) now costs nothing to produce but takes 10x more effort to refute.

Jon and Peter brainstorm for solutions, discussing costly signaling mechanisms like application fees, point-based systems (Online Jobs PH's approach), and role-specific vetting. Jon advocates for dynamic hiring processes tailored to each role. For example, video editors should submit completed work samples, not sit through interviews about their "passion for roofing."

Most provocatively, Peter proposes a new social contract: make applications harder (fees, videos, time investment), but in exchange, employers must provide genuine, specific feedback. The challenge is the legal liability and the emotional cost of having those conversations.

As Jon puts it, "I don't want a relationship with you" shouldn't open a seven-email negotiation!

The job marketplace needs complete reinvention, with differentiated approaches based on role scarcity and skill requirements.

KEY TOPICS:
(02:22) How AI Enables Fraudulent Rental Applications at Scale
(06:28) Why Employers are Drowning in Indistinguishable Applications
(09:12) LinkedIn and Indeed as Failed Marketplaces
(16:57) Role-Specific Hiring
(31:16) Legal Liability Preventing Employer Feedback to Candidates
(36:30) Harder Applications, Guaranteed Feedback
(43:54) Costly Signals vs. Predictive Factors for Job Performance

Stay connected for more insights and strategies by following:
Jon: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@MatznerJon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on X and at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠lazyleverage.beehiiv.com⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠
Peter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@pslohmann⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on X and at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠peterlohmann.com

  continue reading

86 episodes

Artwork
iconShare
 
Manage episode 523767798 series 3611694
Content provided by Jon Matzner and Peter Lohmann, Jon Matzner, and Peter Lohmann. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jon Matzner and Peter Lohmann, Jon Matzner, and Peter Lohmann or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

AI has fundamentally broken the traditional job application process. What’s an employer to do?

Jon and Peter dissect an academic paper titled "Making Talk Cheap: Generative AI and Labor Market Signaling," which examines how large language models have disrupted markets that historically relied on writing as a costly signal of quality. Specifically, job applications and college admissions.

Cover letters used to signal genuine candidate interest because they required significant time and effort to customize. But now, AI can generate personalized cover letters in seconds.

Peter immediately connects this to property management, noting how AI has made it trivially easy to generate fraudulent rental applications with fake pay stubs, identities, and emotional support animal letters promoted openly on TikTok.

The parallel extends to legal threats. What used to be a strong signal (a detailed legal letter citing lease terms) now costs nothing to produce but takes 10x more effort to refute.

Jon and Peter brainstorm for solutions, discussing costly signaling mechanisms like application fees, point-based systems (Online Jobs PH's approach), and role-specific vetting. Jon advocates for dynamic hiring processes tailored to each role. For example, video editors should submit completed work samples, not sit through interviews about their "passion for roofing."

Most provocatively, Peter proposes a new social contract: make applications harder (fees, videos, time investment), but in exchange, employers must provide genuine, specific feedback. The challenge is the legal liability and the emotional cost of having those conversations.

As Jon puts it, "I don't want a relationship with you" shouldn't open a seven-email negotiation!

The job marketplace needs complete reinvention, with differentiated approaches based on role scarcity and skill requirements.

KEY TOPICS:
(02:22) How AI Enables Fraudulent Rental Applications at Scale
(06:28) Why Employers are Drowning in Indistinguishable Applications
(09:12) LinkedIn and Indeed as Failed Marketplaces
(16:57) Role-Specific Hiring
(31:16) Legal Liability Preventing Employer Feedback to Candidates
(36:30) Harder Applications, Guaranteed Feedback
(43:54) Costly Signals vs. Predictive Factors for Job Performance

Stay connected for more insights and strategies by following:
Jon: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@MatznerJon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on X and at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠lazyleverage.beehiiv.com⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠
Peter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@pslohmann⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on X and at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠peterlohmann.com

  continue reading

86 episodes

Tous les épisodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play