Artificial intelligence has moved from the margins of technology conversation to its center. In a remarkably short span of time, generative AI tools have begun influencing how consumers search for information, discover products, and make purchasing decisions. The shift is already visible in everyday life: people are asking AI assistants what to cook for dinner, which brands to buy, and how to plan the next holiday gathering.
With that transformation has come a familiar narrative that tends to accompany every new wave of technology. Younger consumers embrace innovation instinctively. Older consumers eventually follow.
It is a reasonable explanation, but it is also, increasingly, the wrong one.
When Numerator analyzed responses from more than 5,000 verified participants in its recent study on consumer AI adoption, the data suggested something far more intricate. The expectation that AI acceptance neatly tracks with age simply does not hold. Instead, consumers across generations fall along a wide and unpredictable spectrum—from enthusiastic adopters to skeptical observers—regardless of how old they are.
AI Adoption Isn’t Linear by Age.
To better understand how consumers relate to artificial intelligence, Numerator built a composite AI Acceptance Score combining three elements: sentiment toward AI, perceived benefits and claimed usage of the technology. Each respondent was indexed relative to the U.S. population average and then mapped against age.
The expectation might have been a familiar one: enthusiasm rising among younger consumers and tapering off among older ones. Instead, the pattern barely appeared at all. Age explained virtually none of the variation in AI acceptance across the population.
In practical terms, this means a 25-year-old and a 65-year-old are equally likely to sit anywhere on the spectrum. This runs counter to decades of technological history. Personal computers, social media, and smartphones all followed a relatively predictable trajectory: younger consumers adopted early and eventually pulled the rest of the population along with them.
Artificial intelligence appears to be following a different path.
The technology is spreading broadly, but the reasons people embrace or resist it differ dramatically depending on their generational context. For marketers and strategists, the important question is not who adopts AI first. It is why each generation approaches the technology the way it does.
Gen Z: Digitally Fluent, Yet Increasingly Resistant.
On paper, Gen Z should represent the natural vanguard of artificial intelligence adoption. Raised alongside smartphones, streaming platforms, and algorithmic social feeds, this generation is often described as the most digitally fluent cohort in history.
In many ways, the data supports that assumption. Seventy-seven percent of Gen Z consumers report using AI tools today. Yet the deeper story is more complicated. Among Gen Z consumers who are not currently using AI, resistance is markedly stronger than it is among older generations. Fifty-seven percent of Gen Z non-users say they are not open to adopting the technology, compared with just 32% of Boomers.
This polarization reveals a tension that is easy to miss when looking only at adoption rates. Within Gen Z, enthusiasm and skepticism exist side by side. Part of the hesitation stems from perceived usefulness. Three in ten (30%) Gen Z consumers say they do not find AI particularly helpful in their daily lives—more than double the rate observed across the broader U.S. population.
Additionally, more than half (53%) say they have too many reservations about using artificial intelligence. These reservations extend beyond questions of accuracy or reliability. Instead, Gen Z tends to focus on the downstream consequences of the technology itself.
Environmental impact and sustainability is one example. Gen Z is 54% more likely compared to the average consumer to care about AI’s impact on the environment. AI systems require enormous computational resources, and their energy and water demands have increasingly entered public discussion. For brands positioning themselves as responsible actors in the marketplace, that scrutiny is unlikely to fade.
Millennials: The Generation Embracing AI—With Caution.
If Gen Z approaches AI with philosophical caution, Millennials have embraced it with a mixture of enthusiasm and unease.
Four in five Millennials report using AI tools in the past year, making them the most engaged generation in Numerator’s study. Many view artificial intelligence not as an abstract innovation but as a practical enhancement to everyday productivity. Three-quarters say AI improves their efficiency, the highest rate of any generation.
For a cohort navigating careers, households, and increasingly complex daily schedules, the appeal is obvious. AI goes beyond being a search engine. Rather, it is a helper. Millennials are more likely than other generations to use AI for planning and organization: mapping out meals for the week, creating shopping lists, managing budgets, or brainstorming gift ideas. In these scenarios, AI acts less like a directory of information and more like an assistant participating in decision-making.
Yet beneath this enthusiasm lies a growing anxiety. In July 2025, 38% of Millennials said they were concerned about artificial intelligence replacing human jobs or tasks. By December of the same year, that number had climbed to 49%—nearly half the generation.
This shift reflects a unique generational tension. Millennials were early beneficiaries of the digital economy, building careers around technology-driven productivity. But the same tools that amplify efficiency can also raise questions about long-term labor displacement.
At the same time, the way Millennials use AI-tools as personal helpers has implications on how they are reshaping their search intent.
Instead of searching directly for specific products such as “McDonald’s” or “potato chips,” Millennial consumers are increasingly using broader prompts such as “What are fast food options on a Friday night with the family” or “What are good snacks for a football watching party?” AI tools then assemble recommendations that respond to the scenario rather than the product. Brand visibility in AI-generated results may depend less on product keywords and more on understanding the underlying intent behind consumer prompts.
Gen X: The Quiet Opportunity in AI-Driven Shopping.
Gen X rarely dominates headlines about emerging technologies. In relation to the digital natives of Gen Z and the cultural influence of Millennials, this Gen X is often overlooked in conversations about innovation. Yet when it comes to AI-enabled shopping, Gen X may represent one of the most immediate opportunities for brands especially with their strong purchasing power.
Across sectors, Gen X consistently ranks near the top in willingness to use artificial intelligence in the shopping process. They may not speak about AI with the same cultural intensity as younger consumers, but their openness to practical applications is notable.
However, what makes this particularly interesting is the gap between AI recommendations and real purchasing behavior.
When common AI prompts are tested—for instance, asking an AI system to recommend body wash for a 50-year-old consumer—the brands surfaced often differ from those Gen X consumers actually prefer. In Numerator’s data, brands such as Dove, Suave, Olay, and Bath & Body Works over-index with Gen X shoppers, yet these names frequently appear lower in AI-generated lists.
The reason is that many AI models draw heavily from publicly available content rather than proprietary purchase data. That creates a mismatch between what AI recommends and what consumers actually buy.
For brands and retailers, this disconnect reveals a strategic opening. Organizations that integrate real consumer insights—zero-party purchase data, loyalty records, CRM intelligence—into their AI systems may be better positioned to shape recommendations in ways that reflect genuine behavior. In a future where AI assistants increasingly influence consumer decisions, the quality of the underlying data may determine whose products appear in the conversation.
Boomers: Adoption Through Familiar Tools.
Among Baby Boomers, the barriers to AI adoption look different.
The issue is less about distrust and more about understanding. Thirty-five percent of Boomer non-users say they simply do not understand AI tools well enough to use them. At the same time, two-thirds report difficulty distinguishing between real and AI-generated content online. This uncertainty can slow adoption but it does not eliminate it.
In practice, Boomers are most likely to interact with artificial intelligence when it appears within tools they already rely on. AI features embedded in smartphones, social platforms, and everyday digital services tend to resonate more than standalone AI applications such as ChatGPT.
Their interest is also highly practical. Boomers are particularly drawn to AI features that simplify routine shopping decisions—comparing prices across retailers, finding promotional offers, or verifying the authenticity and quality of products before purchasing.
These use cases share a common trait: they are functional rather than exploratory. For retailers and brands, that orientation suggests a clear opportunity. AI experiences designed around savings, clarity, and trust may resonate strongly with older consumers—especially when integrated seamlessly into the digital tools they already use.
What AI Consumer Trends Mean for Brands.
As artificial intelligence becomes embedded in the consumer journey from product discovery to purchase. Brands will need to move beyond simplistic assumptions about adoption.
Three lessons emerge from the generational patterns in Numerator’s research:
- First, AI adoption does not follow a generational hierarchy. Younger consumers are not uniformly more enthusiastic than older ones, and enthusiasm alone does not determine usage.
- Second, the way brands present AI matters as much as where they show up. Gen Z evaluates AI through an ethical and environmental lens. Millennials balance efficiency with job-security concerns. Gen X looks for practical utility in the shopping process. Boomers prioritize trust and clarity.
- Finally, relevance in an AI-driven marketplace will increasingly depend on real consumer data. Many AI systems today rely on publicly available information, which can lead to recommendations that diverge from actual purchasing patterns. The opportunity for brands to grow is through leveraging rich data from consumer panels, verified surveys and CRMs.
Brands capable of integrating verified consumer insights into AI-driven content and recommendations will be better positioned to shape what consumers see—and ultimately what they buy.
