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Gen Z uses AI more, but Skyword says they are also correcting it

Skyword's latest survey suggests Gen Z is embracing AI for research while becoming increasingly willing to challenge inaccurate AI-generated information.

Patrecia Meliana

29 Jun 2026 • 6 min read

Gen Z is often framed as the generation most comfortable with AI. New survey data from Skyword suggests that view is only half right.

The company’s survey of 1,000 U.S. consumers found that 67% of Gen Z respondents are using AI more frequently than they did a year ago, compared with 52% of consumers overall. But higher usage does not mean blind trust. Nearly one in three Gen Z respondents said they have contacted a brand to correct something an AI tool said about it.

For marketers, that is the real story. Gen Z is not just adopting AI as a research layer. They are also pressure-testing it, challenging it, and expecting brands to clean up the mess when AI-generated information is wrong.

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What Skyword's survey says about Gen Z and AI use

Skyword’s research shows Gen Z is among the most active AI user groups in the survey.

While 52% of consumers overall said they are using AI more often than they did a year ago, that figure rises to 67% among Gen Z respondents. The data supports what many marketers already suspect: younger consumers are making AI part of how they research products, compare options, and evaluate brands.

But the same survey also shows that AI adoption does not automatically translate into AI trust.

Nearly one in three Gen Z respondents said they have contacted a brand to correct something an AI tool said about it. That rate is nearly double the general population.

That makes Gen Z a useful preview of where consumer behavior may be heading. They are more likely to use AI, but also more likely to notice when it gets something wrong.

The lazy take is that Gen Z trusts AI because they use it often. Skyword’s data suggests something more nuanced.

Gen Z appears comfortable using AI as a starting point, but not necessarily as the final answer. When information feels wrong, incomplete, or inconsistent, they are willing to challenge it.

That matters because AI-generated information is already shaping brand perception. Across the full survey, 17% of consumers said they have switched brands because of AI-generated information, while 19% have avoided a purchase based on what AI told them about a brand.

So the issue is not whether consumers are using AI. They are. The issue is whether the information they find is accurate enough to survive scrutiny.

For Gen Z, that scrutiny may come fast. If AI gets a product detail, policy, feature, or brand claim wrong, younger consumers may not quietly move on. They may call it out.

What marketers should know about AI-savvy consumers

For marketers, Gen Z’s behavior creates a new operating rule: AI visibility without accuracy is a liability.

Here are the practical implications.

1. Treat AI answers as part of the customer journey

Consumers may encounter AI-generated brand information before they ever visit a company website. That means AI outputs can shape expectations, objections, and intent before the brand gets a direct interaction.

2. Audit what AI tools say about your brand

Marketing and comms teams should regularly check how major AI tools describe their products, pricing, policies, competitors, and category positioning.

The goal is not to control every AI answer. That is not realistic. The goal is to spot recurring inaccuracies and fix the source material that may be contributing to them.

3. Make factual brand information easier to verify

Gen Z’s willingness to correct AI suggests they value accuracy and transparency. Brands should make core information easy to find across owned pages, FAQs, help centers, press materials, review platforms, and third-party coverage.

4. Build credibility outside owned channels

Skyword’s broader survey found that when AI-generated information conflicts with brand messaging, 54% of consumers seek third-party validation. That means earned media, analyst mentions, credible reviews, and expert commentary matter more in an AI-influenced research journey.

Why AI errors are becoming a brand experience problem

AI misinformation is not just a search problem. It is becoming a customer experience problem.

If a consumer receives incorrect information from an AI tool, the frustration may still land on the brand. Gen Z contacting brands to correct AI errors shows how quickly the burden can shift back to companies.

This creates a strange but important dynamic. Brands may not generate the incorrect AI answer, but they may still be expected to resolve the confusion.

That means marketers, PR teams, customer support teams, and content teams need tighter alignment. Product pages, support articles, press releases, thought leadership, and third-party references all need to tell a consistent story.

In the AI search era, inconsistency is not just messy. It can become machine-readable confusion.

What this means for marketers moving forward

Skyword’s Gen Z data points to a bigger shift in consumer behavior.

Younger consumers are adopting AI quickly, but they are not outsourcing judgment to it. They are using AI, checking AI, and sometimes correcting AI. For brands, that means the next generation of buyers may be both more AI-assisted and more demanding about accuracy.

The takeaway is clear enough: marketers cannot treat AI search as a visibility game alone.

They need to build a more resilient authority ecosystem, where accurate brand information is easy to find, easy to verify, and consistent across the places consumers and AI systems look for answers.

Gen Z may be AI’s power users, but they are also becoming its quality control layer. Brands that ignore that will not just lose visibility. They may lose credibility.

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