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The People Purpose Podcast artwork

Workforce Reboot: AI, Gen Z, and the Future of Work

The People Purpose Podcast · 2025-07-11 · 12 min

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Key moments - from our scoring

Substance score

17 / 100

Five dimensions, 20 points each

Insight Density5 / 20
Originality3 / 20
Guest Caliber2 / 20
Specificity & Evidence5 / 20
Conversational Craft2 / 20

UKG's People Purpose Podcast examines the generational divide in workplace AI adoption through new research data. Julie Devlin presents findings that reveal Gen Z isn't just using AI - they're actively driving its adoption while many organizational leaders lag behind. The disconnect is striking: 84% of employees want to deploy AI for time-consuming tasks, yet Gen Z workers report that 45% of their managers don't grasp AI's value. What makes Gen Z stand out is behavioral - 70% taught themselves AI tools compared to 60% across the broader workforce. Devlin frames several practical solutions: organizations should implement cross-generational learning labs, adopt reverse mentorship models pairing tech-savvy younger workers with less digitally inclined colleagues, and foster psychologically safe environments for experimentation. The episode reframes AI not as a job eliminator but as a "co-worker" handling mundane tasks like payroll verification, time tracking, and policy summarization. For HR leaders and workforce strategists, this data suggests untapped potential exists within current teams - and that Gen Z employees should be consulted as strategic advisors in AI adoption planning rather than sidelined as junior staff.

Key takeaways

  • →Gen Z workers are self-teaching AI tools at higher rates (70%) than the overall workforce (60%), positioning them as natural leaders in organizational AI adoption.
  • →A critical adoption gap exists where 84% of employees want AI to handle repetitive tasks, yet 45% of Gen Z report their managers don't understand AI benefits, creating a missed opportunity for leadership learning.
  • →Organizations should implement reverse mentorship and cross-generational learning labs pairing tech-savvy younger workers with less digitally inclined colleagues to democratize AI knowledge.
  • →AI's highest value lies in eliminating repetitive, data-heavy tasks (payroll verification, time tracking, policy summarization) while preserving necessary human oversight and decision-making.
  • →Leaders must actively listen to Gen Z employees as strategic advisors on AI adoption rather than waiting for top-down directives, as younger workers are modeling the behavior needed for successful workplace transformation.

Topics in this episode

Psychological safetyRepetitive task automationAI adoption gapUKGReverse mentorshipGen Z workforce adoptionArtificial intelligence in HRCross-generational learning labsWorkplace automationTime tracking automation

Questions this episode answers

What percentage of Gen Z workers say their managers don't understand the benefits of AI?

45% of Gen Z workers in UKG's study reported that their managers don't understand the benefits of AI, representing a significant adoption gap between younger workers and leadership.

How can organizations close the AI adoption gap between Gen Z and other employees?

Organizations can implement cross-generational learning labs, reverse mentorship programs pairing tech-savvy younger workers with less digitally inclined colleagues, and create psychologically safe environments where employees can experiment with AI tools.

What specific tasks does the episode suggest AI should handle in the workplace?

AI should focus on repetitive, data-heavy tasks like summarizing company policies, scheduling, payroll verification, reviewing time-off requests, and ensuring timecard accuracy - while human intervention remains essential for oversight.

What percentage of Gen Z workers taught themselves AI tools compared to the overall workforce?

70% of Gen Z workers self-taught AI tools they use at work, compared to approximately 60% across the overall workforce.

How should leaders view AI in the workplace according to this episode?

Leaders should view AI as a collaborative tool and "co-worker" that works alongside employees to eliminate tedious tasks, not as a threat to jobs or a replacement for human judgment.

What our scoring noted

Our reviewer’s read on each dimension, with quotes from the episode.

Insight Density

5 / 20

The episode contains only three data-point statistics from UKG's own study and then repeats them in slightly different wording across the full 12 minutes, surrounded by lengthy platitudes, analogies about internet outages, and filler phrases. There are no novel mechanisms, frameworks, or non-obvious claims that a B2B operator wouldn't already know.

84% of employees want to take, want to use AI and they want to use it to replace repetitive and time consuming tasks
45% of Gen Z workers we found in our study said that their managers don't understand the benefits of AI

Originality

3 / 20

Every argument presented - AI as colleague not threat, reverse mentorship, psychological safety for experimentation, Gen Z as digitally native - is a recycled, widely circulated take with no contrarian angle, first-principles reasoning, or counterintuitive framing whatsoever.

we need to recognize that AI is a tool that is something that will work alongside us, not that's going to necessarily, necessarily replace us
I like to look at AI tools as a co worker, I like to say a co worker that doesn't microwave fish in the microwave right in the office

Guest Caliber

2 / 20

This is a solo host episode with no guest at all; the host is a UKG podcast presenter and self-described former HR practitioner, not an operator who has deployed AI at scale or a practitioner with deep domain expertise to share.

Hey everybody. Julie Devlin here. Welcome back to UKG's podcast.
as a former HR practitioner, I used to look at generations in a very different way

Specificity & Evidence

5 / 20

Three percentages from an undescribed proprietary UKG study (no sample size, methodology, or industry breakdown) are the entirety of the evidence; all use-case examples (scheduling, payroll, time cards) are generic and no named companies, dollar figures, or timelines are ever cited.

70% of Gen Z workers say that they've taught themselves AI tools that they use at work. They're not sitting back and waiting for other people to show them what to use. That's compared to just about 60% of the workforce overall
payroll can help use AI tools to help verify that paychecks are correct

Conversational Craft

2 / 20

The episode is a solo monologue with no guest, no probing questions, no follow-ups, and no pushback on any claim; the host repeatedly restates the same three statistics and ends with an overt product pitch for UKG software, making this closer to a branded content ad read than a substantive interview.

So, thank you all so much for listening. Uh, please check out this the study
And I promise you, we have many people that are working in our organizations where we don't, we're not using all of their potential

Conversation analysis

Computed from the transcript - who did the talking, and the words that came up most.

Most-used words

tools11help10study9leading8workers7tasks7away6charge6ones6employees6internet5conversation5utilizing5saying4managers4technologically4

Episode notes

Send a text Who’s really driving AI adoption in the workplace? According to new research from UKG, it’s not who you might think. In this episode, we unpack groundbreaking findings from a national survey revealing that Gen Z is outpacing other generations and many executives when it comes to integrating AI at work. With 90% of Gen Z workers believing AI can save them time (and nearly half saying their boss doesn’t “get” it), the generational divide around emerging tech has never been clearer or more important to address.

Full transcript

12 min

Transcribed and scored by The B2B Podcast Index.

Speaker A: Foreign. Hey everybody. Julie Devlin here. Welcome back to UKG's podcast. I'm excited to host this episode. You might be wondering where the other half of the podcast is. Uh, have a listen to the last episode if you want to know where my counterpart, uh, went and wish, um, him well. We'll miss him a lot. But very, very excited to bring you more insight, more info and more information about what's going on in the world of work, uh, from this point forward. So today, what I want to talk about and what I want to bring to your attention is the amazing study that we have done at UKG regarding Gen Z and why the young, youngest workers are leading the AI revolution. Now, AI, we can't get away from it. Uh, we're not going to be able to get away from it even if we try. It's sort of like how the Internet used to be. It permeates the conversation. Uh, back when the Internet was in its infancy, of course we were all talking about, about that. Now it's almost like the Internet is not obsolete, but it's, it's a part of our everyday lives. It's a part of our everyday lives and it's something that we just have come to rely on. Think about what happens when your Internet goes down. Uh, we lose our minds, right? I mean, at least I do. Um, oftentimes you're not able to watch the television, you're not able to have conversations with people, uh, you're not able sometimes to use your appliances. I mean, there's all sorts of things that uh, we have to think about when it comes to the Internet. Now AI is just another piece of this puzzle and a lot of us have come to rely on artificial intellig for much of what we're doing on a day to day basis. Just thinking about your own personal usage of AI and how you're using it and what kind of time maybe that you've saved even on mundane tasks can be a really useful exercise. But uh, what we want to talk about today is this concept of Gen Z and why the youngest generation of workers are really leading the AI revolution when it comes to AI at work. So we have some new research at UKG that reveals that Gen Z isn't just using AI at work. They're actually leading the charge when it comes to AI at work. They're the ones who are saying, you know, uh, our bosses don't really get it. We need to sort of take, take the reins here and explain just how useful these tools are going to be and just how useful they are. So one of the questions I think that we have to ask ourselves is what this mean for the future of work? If we have this adoption gap with AI where you have Gen Z workers who are utilizing it, but you don't have a lot of other workers who are utilizing it as much, or if there's a gap that exists, what do we do to close that gap? Our survey found that 84% of employees want to take, want to use AI and they want to use it to replace repetitive and time consuming tasks. But Gen Z, they're already doing that. So we have this juxtaposition between workers who say how, uh, we really want to start using it, and Gen Z is saying, well, uh, no, actually we are using it. Follow our lead here. So 45% of Gen Z workers we found in our study said that their managers don't understand the benefits of AI. And I think when we look at that, there's a missed opportunity there, there's a disconnect there. And what are some ways that we can lean in to what Gen Z is uh, in particular are doing right? I think there's also a conversation here regarding stereotyping. And as a former HR practitioner, I used to look at generations in a very different way. I used to look at generations as other. And I think there is some conversation there about differences in the way that we work. But I do believe that we all are more alike than we are different. However, some of us are just more technologically savvy, whether you're in Gen Z or not. However, this study was looking at Gen Z in particular and found that Gen Z in particular are the ones who are really leading the charge and they're doing it right. So 70% of Gen Z workers say that they've taught themselves AI tools that they use at work. They're not sitting back and waiting for other people to show them what to use. That's compared to just about 60% of the workforce overall. So one of the things that Gen Z is doing right is they're taking the reins. They're saying, okay, these tools are out there and we are going to be the ones who are going to show you how to use them. And uh, we're going to make our lives easier by utilizing these tools. So what they're doing is they're modeling the behavior that we want to see. And so often we say leadership must model the behavior that we want to see. And yes, that's very, very tr. But when it comes to AI, it looks like Gen Z is Leading the charge there. They're showing leaders the art of the possible. They're showing leaders and managers and C suite executives what's important when it comes to using these tools in order to make a difference in the everyday world of work. So as a leader, what can you do? What can we do now? Right? I mean, I think listening is an art form. Uh, I'm not great at it because I always try to think about what I'm going to say next. However, it's more important than ever for leaders to start listening, especially to younger employees when it comes to them having insights that can help shape strategy at your organization. The other thing that's important is to create some sort of space and create some sort of, I would say, psychologically safe environment where people can experiment with these AI tools. I, uh, find that some organizations are building cross generation learning labs. They're doing reverse mentorship where you have younger people, um, helping out older folks, or even not even just younger to older, but um, folks who are less technologically savvy and then helping folks who, you know, or more technologically savvy helping folks who are less technologically savvy. You know what I'm saying? The other thing too is we need to recognize that AI is a tool that is something that will work alongside us, not that's going to necessarily, necessarily replace us. You may have seen already in your role that your job has changed, uh, based upon AI. But we have to look at AI not as a threat but as a companion. Uh, I like to look at AI tools as a co worker, I like to say a co worker that doesn't microwave fish in the microwave right in the office. So, uh, looking at it like that, looking at AI as another colleague, can really help you, um, to stand out and help you to get more information and ideas. So our study, uh, suggests a lot of different things and I would encourage you to take a look at the notes here in the show notes, uh, and have a look at our study, read our study, um, look at the ins and outs of the data. It really is showing that Gen Z are the ones leading the charge. But there's another conversation, um, and that other conversation is what AI should actually do for employees. And what can AI actually do for employees? Now that's a loaded question because the answer there is it depends. It depends on your role, it depends on the level, it depends on the security of the AI system that you're using, et cetera. But employees actually want AI to help them with those Bundane tasks. They want AI tools to help them to do things like summarize company policies to help them create their schedule, to help them, uh, payroll can help use AI tools to help verify that paychecks are correct. Thinking about this, there's always human intervention that's needed in these processes because AI can make mistakes, right? So we have to make sure that we're keeping that in mind, that it's not a threat, it's a colleague, it's working alongside us. Something like ensuring time cards are accurate, um, reviewing time off requests. And when we look at this repetitive data heavy stuff that tends to slow us down. This is where the power lies with AI. These tools are there not to take your job, but to take away the least favorite parts of your job. The things that I call time vampires, the things that suck that time away from you. So just consider what tasks today you're utilizing AI for and what, how many of those tasks are repetitive, how many of those tasks are saving you time? And then think about the tasks that you're not using AI for and think about how much time you're wasting by not utilizing AI tools. If you're not sure about whether there's an AI tool available for whatever task that you're looking to supplement or whatever task you're looking to uh, use AI for, odds are there is one. But no one is going to save you in terms of showing you what it is. Just like Gen Z, which our study shows us, they're the ones taking the reins, we have to make sure that we're taking ownership of our own learning when it comes to AI. So Gen Z really is holding that proverbial door open towards the future of work. And the question is, will leadership walk through that door? And I think that the sooner that we empower our employees to utilize AI meaningfully, the sooner we're going to unlock whatever additional potential our workforce holds. And I promise you, we have many people that are working in our organizations where we don't, we're not using all of their potential. Um, when we talk about uh, having one on one conversations as an example, are your managers and are your leaders asking people what skills they have that maybe they, they don't know about? Right. What skills the managers don't know about, maybe people have skills they can utilize to fill open positions within your organization. Maybe. And if you're building a team to uh, look at explore AI adoption, maybe you need to get some additional people in the room, not just people on those high levels of the organization. Because what we've learned here is that Gen Z, uh, really are the ones who are leading this charge. And that is what UKG data shows. That is what UKG study shows. So, yeah, I mean, AI really is no longer just, uh, a buzzword. It's part of our common vernacular these days, and not something that, uh, we're going to shy away from or get away from. And at ukg, uh, we are leading the charge, uh, with the AI revolution, uh, building systems and software that's going to help you bring your workforce to the next level, Gen Z and beyond. So, thank you all so much for listening. Uh, please check out this the study and, uh, look forward to seeing you on the next episode of the podcast.

Related episodes across the Index

Other episodes covering the same guests and topics, from across The B2B Podcast Index.

  • Managing Your WORK IDENTITY: Authenticity, Bias, & Resume Whitening with Professor Sonia Kang (ep. 216)Talk About Talk · on Psychological safety86 / 100
  • Culture Drives Performance. Here's the Framework.High Octane Leadership · on Psychological safety84 / 100
  • The Best Boss You Never HadThe Secret Life of Great Leaders · on Psychological safety82 / 100
  • The HR Leader That Brings Therapy to Work with Isidora Torres, VP of People at BeehiivFNDN Series · on Psychological safety80 / 100
  • 190 - What If Leave Policies Felt Like Product Design - with Romy MalviyaProduct Led Growth Leaders · on UKG80 / 100
  • Care For Performance Leadership with Noam BuchalterStrategy Sessions · on Psychological safety79 / 100

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