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Millennials are the largest adopters of AI tools—for fun, not work

Verbit analyzed Morning Consult survey data to illustrate the way millennials are interacting most with emerging artificial intelligence tools.
Verbit analyzed Morning Consult survey data to illustrate the way millennials are interacting most with emerging artificial intelligence tools. - View Apart // Shutterstock
Verbit analyzed Morning Consult survey data to illustrate the way millennials are interacting most with emerging artificial intelligence tools. - View Apart // Shutterstock
Dom DiFurio

Artificial intelligence is seeing traction among the largest generational contingent in the U.S. workforce: millennials. And they may not be using it just to boost productivity at work.

Verbit analyzed Morning Consult survey data published in 2024 to illustrate how millennials interact most with emerging AI tools. Morning Consult polling suggests millennials are more active users of AI tools than even Gen Z. Respondents said they are about 20 percentage points more likely to use AI for work tasks when compared with overall user responses. But they also indicated they’re slightly more likely to use it for leisure or creative pursuits than work.

AI is found today not just in the generative AI chatbots like ChatGPT that have invaded workplaces and popular culture. It’s also embedded in the algorithms that power recommendations in music and television streaming apps, financial investment services, productivity software like Microsoft Excel, conversation transcription tools, and those that assist in writing code.

With more than a year of experimentation under their belts since the release of ChatGPT and the wave of AI software that followed, the appeal to millennials of using new AI-infused software for work is nearly on par with using it for entertainment recommendations.


A bar chart showing millennials' responses to a question asking them how they use AI in their everyday lives. The highest percentage of respondents said they use it for fun, creativity or ideation, shopping recommendation, music recommendations, movies and TV recommendations, and completing work tasks, in that order.

Verbit // Dom DiFurio

Millennials make up the bulk of the workforce and are AI’s early power users

True artificial intelligence, called artificial general intelligence or AGI, refers to software that displays a level of intelligence indistinguishable from that of a human. Experts agree that true AI is a ways off. However, today’s AI-infused software is still powerful enough to significantly augment workers in many white-collar jobs—and even replace them in some limited cases like customer service functions.

Millennials’ equal propensity to use AI for entertainment or work may speak to the entertainment consumption habits of those aged 28-43. But, it could also be representative of the anxiety the proliferation of new AI tools has caused in the larger workforce.

While not yet capable of AGI, the current capabilities of AI have thus far been strong enough to generate significant apprehensiveness about job displacement. White-collar work was long thought to be immune from early forms of automation, which mainly displaced manual labor jobs with the assistance of robotic technology in warehouses and on factory floors.

And even though polling indicates nearly half of AI’s current users are leveraging the tools at work, other indicators show it hasn’t come without compounded stress.

About two-thirds of workers say they are concerned about AI replacing their jobs, and an equal portion say they fear falling behind in their jobs if they don’t use it at work, according to a 2023 survey developed by Ernst & Young to gauge worker anxiety around business’ adoption of AI.

While the future of AI—and how big of a threat it poses for workers—remains to be seen, a new report from corporate advisory firm Gartner provides an optimistic view running counter to worker anxiety. The 2024 report forecasts that generative AI adoption within corporate workplaces could slow in the coming years as organizations are hit with the reality of the costs it requires to fully train AI models, as well as the looming intellectual property challenges making their way through courts.

Story editing by Nicole Caldwell. Copy editing by Kristen Wegrzyn.

This story originally appeared on Verbit and was produced and
distributed in partnership with Stacker Studio.

Stacker
Written By

Founded in 2017, Stacker combines data analysis with rich editorial context, drawing on authoritative sources and subject matter experts to drive storytelling.

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