AUA: How Does HR Rewrite Job Descriptions for AI?

Summary

Episode Overview

Podcast: At Work with The Ready

Hosts: Rodney Evans & Sam Spurlin

Episode: AUA: How Does HR Rewrite Job Descriptions for AI?

Date: April 27, 2026

In this listener Q&A episode, Rodney Evans and Sam Spurlin tackle a pressing modern HR question: How should organizations rewrite job descriptions to reflect the rise of AI? Drawing on their experiences helping teams transition toward new ways of working, they dive into practical strategies for HR, the limitations of traditional job descriptions, and how to embrace an adaptive, outcomes-oriented approach in today’s rapidly evolving work landscape.

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Key Discussion Points & Insights

1. The Real Challenge for HR (00:20)

• Prompt: A listener’s HR team faces pressure to rewrite job descriptions for an AI-enabled workplace, unsure how to avoid obsolescence as technology rapidly evolves.
• Rodney describes the environment as “such a cluster,” highlighting calls from traditional consultancies whose old methods are losing relevance as AI tools take over basic org design tasks.

“We used to just tell people what the new org chart was and what all the job descriptions were and now it seems like our clients aren’t going to buy that anymore because they could just get it from ChatGPT.”
— Rodney Evans [00:44]

2. Why Rewriting Job Descriptions Isn’t the Answer (01:27)

• Rodney advises against simply tweaking current job descriptions to include AI. Instead, she suggests a reframing:
  • Start by asking, “What can AI actually do now?”
  • Identify what humans still need to do, particularly regarding oversight and judgment.
  • Don’t get bogged down in exhaustive static documentation, as it will soon be outdated.

“At this point, I am defaulting to don’t worry about job descriptions. I mean, sort of never worry about job descriptions. That’s been a fool’s errand for a long time.”
— Rodney Evans [02:47]

• Instead, focus on the “human-in-the-loop” relationship — what the AI is responsible for and what the person still needs to handle (e.g., reviewing and ensuring quality for AI-generated outputs).
• Emphasize authority boundaries: Clearly define what decisions or accountabilities cannot be automated and must remain with humans.

3. Clarity on Human Judgment and Outcomes (03:46)

• Sam echoes Rodney, adding the importance of outcome-based roles:
  • Articulate the intended results of a role — regardless of AI or human contribution.
  • New necessity: Define the type of human judgment still required (e.g., problem solving, ethical decisions, context interpretation).
  • This is a significant change; pre-AI, roles didn’t need such explicit articulation of what only humans can handle.

“Now I think there’s something interesting to that. So if this role is massively changed because of AI, but we still want a human doing some version of it, well, what’s the judgment aspect that the human is bringing to it? And can we get a little bit crisper about that?”
— Sam Spurlin [04:14]

4. Move to “Living Documents” (05:04)

• Both hosts champion moving away from static job descriptions to living documents that evolve with new work patterns and AI capabilities.
• Rodney references AI-enabled “talent marketplace management,” where fractional, “atomized” work is matched dynamically to people — a system that finally works thanks to AI.

“Work can be fractional, work can be atomized, and you can sort of have a network that is continually updating as people’s roles change and their partnership with AI changes and AI’s capabilities change.”
— Rodney Evans [05:28]

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Notable Quotes & Memorable Moments

• Rodney’s direct approach to outdated consulting:

  “Do you want to be our partner? And I’m like, get out of here. Fuck no, I don’t want to be your partner.”
  — Rodney Evans [00:44]

• Caution against pursuing obsolete HR exercises:

  “Never worry about job descriptions. That’s been a fool’s errand for a long time.”
  — Rodney Evans [02:47]

• Sam’s focus on living documents:

  “We’ve always been advocating for creating living documents, but I think it becomes even more essential now when everything is changing as quickly as it is.”
  — Sam Spurlin [05:04]

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Timestamps for Important Segments

• 00:20 – Listener question about AI and job descriptions in HR
• 01:27 – Rodney’s core advice: Don’t focus on rewriting static job descriptions
• 03:46 – Sam’s addition: Focus on outcomes and necessary human judgment
• 05:04 – The argument for living documents and AI-enabled talent marketplaces
• 05:28 – Real-world application: Continual updating of roles as AI and human partnerships evolve

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Takeaways & Actionable Advice

• Don’t rush to overhaul static job descriptions for AI; instead, examine what AI can do and what unique human contributions are necessary.
• Explicitly define the outcomes and “judgment calls” that must remain human-led.
• Shift toward living, flexible role descriptions that capture the evolving collaboration between people and technology.
• Use the need for change as an opportunity to move beyond rigid, bureaucratic HR artifacts — lean into adaptability and ongoing clarity.

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Summary

This episode demystifies the anxieties around rewriting job descriptions for the AI era. Rodney and Sam challenge the conventional HR reflex to “keep up” with technology via documentation, advocating instead for dynamic, adaptive approaches that prioritize human judgment, clear outcomes, and real-time role evolution alongside AI. Their message: HR’s real challenge isn’t to predict the future of every role, but to build systems ready to evolve with it.

Transcript

[A]

Hey y'. All. Welcome back to Outwork with the Ready. I'm Rodney Evans and that guy is Sam Sperlin.

[B]

Hello everyone and hello to you, Rodney Evans.

[A]

Hi Sam. Every other week we tackle one tough, thought provoking listener question and share a few ideas that might help. So let's dive on in. Sam, what do you have for us today?

[B]

You've talked a few times on the show about how people's day to day work is going to look drastically different as AI gets integrated. But I, I haven't heard much about what that actually looks like in practice. My HR team is getting pressured to start rewriting job descriptions to reflect AI and I'm not sure where to begin. How do you start that work without feeling like you're building something that's just going to get washed away in 18 months?

[A]

God, you guys, it's just, it's such a cluster. Like I've had two different trad consultancies call recently and been, been like, we basically, the TLDR is basically like, we're aware that our business is drying up. We think we have to do what you know how to do. Do you want to be our partner? And I'm like, get out of here. Fuck no, I don't want to be your partner. Anyway, that's a side note. And it, and the presenting issue is basically this. It's basically like, you know, we used to just tell people what the new org chart was and what all the job descriptions were and now it seems like our clients aren't going to buy that anymore because they could just get it from ChatGPT. Should, should we go into your business? And I'm like, I don't care what you do. Anyway, that's a little aside.

[B]

Rodney's therapy session.

[A]

Yeah, totally with myself. Here's what I've been saying to clients lately about AI is like what's happening now? On balance, and this question is another ride on the Ferris wheel is people are looking at existing work and existing problems and figuring out how AI can solve it. It's like how do I jam AI into this to make it better or easier or go away or automated or cheaper or faster, whatever. The more interesting position to take is what can AI do right now? And what does that mean in terms of this work? And so when you talk about rewriting job descriptions to reflect AI, I'm like, yeah, yeah, don't do that. Start with what can AI currently do in your organization? What problems can it solve? And then what probably needs to be written down or codified is what, what's the interaction with the human like? Okay, so if AI can create all of the content for your social media, what's the description of the pairing between the social media manager and the AI that you're using? So that there is a human in the loop, there are certain guardrails, there's the kind of review that you want. At this point, I am defaulting to don't worry about job descriptions. I mean, sort of never worry about job descriptions. That's been a fool's errand for a long time. But even in terms of role clarity, I think right now really light and really emphasizing the authority piece of it, in terms of what can't be held by AI is. Is kind of the only thing you need. Like, I wouldn't spend a lot more time on this pursuit than that. So it's like if you're talking about engineers and you expect them to be 10x ing their output using Claude code, great. Their accountability is that what's the decision? Right. So that they're not like pushing buggy or borked or unsafe code. That's like the level for this liminal period to be working at. And again, I would start with the question of what can AI do? And then what constraint does the human need to apply rather than the other way around?

[B]

Yeah, I agree with that. I think the only little spin that I would offer is, I think also articulating outcomes that roles are working toward continues to be a valuable thing, because when you're doing that, you're not getting into the weeds about is a human doing it, is an AI doing it? It's what are we actually trying to accomplish here? And we can figure out as the AI landscape changes, how that actually gets pursued. And I think the newer thing that I haven't necessarily had to do pre AI is actually start to articulate what is the judgment, the human judgment we expect this role to be exercising. And that for obvious reasons, it's not really a thing we really had to define before, I think. But now I think there's something interesting to that. So if this role is massively changed because of AI, but we still want a human doing some version of it, well, what's the judgment aspect that the human is bringing to it? And can we get a little bit crisper about that? And then the kind of meta point is I would use this opportunity not just in this job description exercise, but just kind of broadly to see if you can use it to shift toward more living documents that are dynamically changing.

[A]

Yeah.

[B]

Rather than kind of exercises and creating static artifacts. And we've always been advocating for creating living documents, but I think it becomes even more essential now when everything is changing as quickly as it is.

[A]

I think that's such a great point, Sam. And, like, the first, like, use case that I had for AI that I waited for, like, a year for it to be able to do do was basically like, talent marketplace management. And for, like, six months, I was deep diving into, like, all of the tools out there that said they could do that and, like, the, you know, being chronically disappointed by them. And now, like, AI actually does make that possible. Like, it makes the thing you're talking about possible where, like, work can be fractional, work can be atomized, and you can sort of have a network that is continually updating as people's roles change and their partnership with AI changes and AI's capabilities change. And so, again, I would really. I love what you're saying and, like, take the AI first lens rather than, like, we document job descriptions in this way. How do we do it taking AI into consideration? It's like, how should jobs work in your company with AI? Like, start there and, and, and then see what shakes out.

[B]

All right, that is it for this mini. If you've got a question of your own, hit us [e-mail] we will see

[A]

you back next week for a full episode of At Work with the Ready. Thank you for being a listener.