We read your mail on AI-proof jobs and how to fix crime labs

我们阅读了您关于防AI职业以及如何改进犯罪实验室的邮件。

The Indicator from Planet Money

2025-09-11

8 分钟
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We’ll never leave your messages unread. On today’s show, we open the inbox to hear from Indicator listeners about why seasoned software developers might have more AI-proof jobs, and an idea for how to improve accreditation for crime labs.  Got a question, comment on a recent show or idea for an episode? Send us a message at indicator@npr.org.  Related episodes: Tech layoffs, recession pop and more listener questions answered  Mail bag! Grad jobs, simplified branding and central bank independence  For sponsor-free episodes of The Indicator from Planet Money, subscribe to Planet Money+ via Apple Podcasts or at plus.npr.org. Fact-checking by Sierra Juarez. Music by Drop Electric. Find us: TikTok, Instagram, Facebook, Newsletter.   Learn more about sponsor message choices: podcastchoices.com/adchoices NPR Privacy Policy
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  • NPR. This is The Indicator from Planet Money.

  • I'm Darian Woods.

  • And I'm Waylon Wong.

  • You know, Waylon, they say don't read the comments, but...

  • And to get a list is actually leave us with some pretty thoughtful ones.

  • They do.

  • We get a lot of emails and actually we pipe those emails into a special Slack channel where we leave like a light bulb emoji for the ones that make us go,

  • aha.

  • Yes.

  • And if they point out that we.

  • I don't know, pronounced a local town wrong.

  • That gets a grievous emotion.

  • No, but that never happens, Darian.

  • How dare you?

  • Yeah.

  • But today on the show, we sift through the listener mailbox to learn from you, our audience members.

  • We'll hear why older software engineers may have more job security against AI and from a forensic consultant on one idea of how to improve credentialing for crime labs.

  • Crime labs?

  • Well, I'm listening.

  • We dust for fingerprints after the break.