Opening the curtain of AI business integration

I'm going to be a good job for the first time in the year of 2013. My best job is to be able to use the job in the technology. We can use the business to use the frontend and frontend. If Shopify is a good job, it's a good job.

That's what we do is to use the job and our business is to use Shopify. Start with the free experience at www.shopify.com. on this whole AI thing, but there's a big divide between employees, their managers, and expectations from executives. That's according to recent survey data from market

research firm YouGov and Jobsite Indeed, where Priya Rathod is a workplace trends editor. We found a three-way mismatch when it comes to the rise of AI at work. So on one side, you have employers, and they're recruiting for specific skills, and they have very high expectations of those skills. Then we have the workforce and they don't think they have those

AI skills yet. And then we have managers within organizations and they're not sure they're ready to lead the people who have these skills. So the demand clearly exists, but right now the other parts of the equation, they're not really adding up so well. They're still catching up. So you found that employers are looking for what you're calling AI natives. What does that actually

mean in practice? Because I don't think many of us grew up with this technology at this point. So what does an AI native look like in the workplace? For us, when we looked at this particular study, we defined AI natives based on their behavior, not simply their demographic data. So an AI native is someone who's, they're highly skilled and comfortable with AI technologies, and they

fundamentally default to AI to design, execute, and scale their workflows from beginning to end. So you described all of these sort of AI native skills that employers are looking for. How confident are workers feeling about those? You know, expectations often run ahead of reality. And so what we're seeing is there's a lot of

excitement about how AI can transform businesses, but workers are moving a little slower right now. The majority of them are experimenting with AI at work, but employers really have a role here that they need to fulfill as well. They need to make sure that they are implementing AI within specific departments, that they're training their workforce in how to get up to speed, and that they have

really definitive milestones and training programs to help these employees out. We'll be right back. This Marketplace podcast is presented by Tomorrow's Cure. If our episodes on the intersection of AI and healthcare left you wanting to learn more about how technology is transforming medicine,

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carbon ion therapy is generating excitement in the medical community and what it could mean for the future of precision cancer treatment. So go ahead, follow Tomorrow's Cure on Apple Podcasts, Spotify, or wherever you get your podcasts. You're listening to Marketplace Tech. I'm Megan McCarty Carino. We're back with Priya Rathod at Indeed. You also found that some workers maybe

have reservations about AI that may be preventing them from sort of going all in on it, just concerns about reliability and how it will actually work for them in their jobs, right? Absolutely. I think some of them are feeling like they're a little bit hesitant. They have a lot of concerns about things like governance, things like privacy. And so they're not ready to go all

in yet. And so we have to remember that it's becoming a common part of people's lives, but they are still getting adjusted to it. And because early adopters have shown businesses what is possible, I think businesses are like, okay, now we need everyone to be at that pace. But businesses need to support their employees to actually change.

Yeah, I wonder if part of this sort of misalignment between employers and employees is reflecting a potential real misalignment of incentives. You know, I think a lot of workers worry potentially with good reason that if they use AI to become much more productive, they're sort of innovating themselves out of a job in a sense. Right. Absolutely. I think there is that fear, right? Because a lot of the headlines are, you know, we're consolidating junior positions and, you know, we're using AI to do all these tasks. And so, you know, you think about Gen Z for a minute. We did find that younger workers, especially Gen Z, they're more likely to self-identify as AI fluent. So they're adopting this technology quicker, but it doesn't always mean that they're more capable.

It could just be a result of their exposure and experience. But in that mastery and exposure and experience, they're also worried that, you know, that means that they're not going to have entry-level jobs to come into. So it is kind of a double-edged sword there. Interestingly, you found it's not just sort of frontline workers who are feeling uncertain about AI.

It's also in some cases managers. Tell me about what you found there. Yeah, I think that employers are top-down asking AI to be implemented across organizations, but there's also their internal managers that have to get up to speed on this, number one.

And also, number two, managers are concerned that they won't be able to manage someone who's more AI fluent than they are.