New Study: 36% of Americans Have Punished a Brand for Using AI — and the Wealthiest Customers Punish Hardest

Image credit: Patricio Luna

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A SegmentOS study reveals that 36% of American consumers have penalised brands for using AI, with wealthier and younger customers leading this backlash. The study highlights that many consumers prefer human-made products and are willing to pay more for them, while also showing a significant drop in trust when brands use AI-generated content. This trend suggests that companies may face hidden losses from customers who quietly leave due to AI usage, emphasising the need for businesses to consider customer preferences before implementing AI features.

Press Release

NEW YORK, NY - June 22, 2026

A new SegmentOS study of 1,017 U.S. consumers finds that 36% have penalized a brand for using AI in the past six months, and 68% would choose a “human-made” product over an identical “AI-made” one at the same price. The backlash is strongest among the youngest and highest-earning customers.

Consumers are quietly penalizing brands for using artificial intelligence, according to a new study released today by market research platform SegmentOS. In a survey of 1,017 U.S. adults, 36% reported taking concrete action against a brand in the past six months specifically because it felt too AI-driven — unsubscribing, canceling, switching to a competitor, or leaving negative reviews.

SegmentOS calls the phenomenon the “AI Tax”: a measurable penalty that consumers impose on companies for visible AI use, paid in lost sales and eroded trust — and one most brands never see, because customers rarely say why they left.

The study’s central finding upends a common assumption. The backlash is strongest among the most valuable customers. Consumers earning $120,000 or more were the most likely to say they would pay a premium for human-made products (68%) and the most likely to abandon a purchase rather than deal with an AI chatbot (57%). The pattern is also generational: 59% of consumers aged 18–28 have penalized a brand for AI, versus just 18% of those 61 and older.

The cost isn’t only behavioral. Among consumers who could estimate, 47% said they have withheld at least some spending from brands over how those brands use AI in the past year, and 9% put that figure at $250 or more — revenue that never shows up as a complaint or a cancellation reason. It simply never arrives.

Key findings include:

  • The Human Premium: Given two identical products at the same price, 68% chose the one labeled “made by humans” and only 10% chose “made with AI.” More than half (54%) said they would pay more for human-made.
  • The Trust Discount: 47% of consumers say their trust in a brand drops the moment they realize its copy was written by AI, and 23% report catching a brand passing AI-generated work off as human (“AI-washing”).
  • The Bot Wall: 45% have abandoned a purchase or support request because they were stuck with an AI chatbot instead of a human — the single most-cited AI grievance in the study.
  • The No-Go Zones: Consumers most demand a guaranteed human in high-stakes domains — 67% for medical advice, 61% for therapy and mental health, and 59% for legal advice.
  • The Most-Resented AI: Resentment concentrates wherever AI impersonates a person or a fact — AI-generated news (28%), AI influencers and ads (24%), and AI customer service (20%) topped the list.

“Every company in 2026 is racing to add AI, and almost none of them are asking whether their customers actually want it,” said Patricio Luna, co-founder and CEO of SegmentOS. “Our data shows the bill is already coming due — and it’s being paid in churn the brand can’t even see. The lesson isn’t ‘never use AI.’ It’s that AI is a feature like any other, and features should be tested with real customers before they ship, not after the backlash.”

The study also surveyed a smaller group of founders and product builders. While the sample was limited and the findings are directional, the early signal was striking: most said they added AI features without testing whether customers wanted them, citing competitor pressure and investor expectations rather than customer demand — suggesting the AI Tax may be less an accident than a blind spot.

The full 2026 AI Tax Report, including methodology and complete data tables, is available at segmentos.io.

Methodology: Online survey of 1,017 U.S. adults conducted in June 2026 via the SegmentOS verified consumer panel. Respondents passed an in-survey attention check. Results are statistically weighted by age and gender to match U.S. Census adult population estimates (2025).

Notes to editors

About SegmentOS

SegmentOS is a professional survey research platform that combines a no-code survey builder, 17 research-grade templates, a built-in verified panel, AI-powered translation across 27 languages, and a full analytics suite — in one tool. It is built for brand, product, CX, and HR teams who need reliable consumer and employee data without an agency budget.

The company’s mission is to democratize research-grade methodology: the same frameworks enterprise researchers rely on — Van Westendorp pricing, conjoint analysis, brand tracking — made self-serve and affordable, with quality controls like attention checks, speeding detection, and duplicate prevention switched on by default. Teams can build a study in under two minutes and, on the Pro plan, reach a panel of more than 30 million verified respondents across 127 countries.

SegmentOS starts free, with paid plans at $29/month (Premium) and $79/month (Pro); panel responses start at $0.73 each. It was built by a team with deep roots in market research, data engineering, and AI — including veterans of Qualtrics and Scale.AI. Learn more at segmentos.io.

Media Contact

SegmentOS, Calz. General Mariano Escobedo 375, Mexico City, 11590, Mexico

Patricio Luna, Co-founder & CEO Email: [email protected] Web: https://segmentos.io

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