Almost one in four consumers canceled a subscription or stopped purchasing from a brand in the past six months because of concerns about how their data was being used in AI models. One in five walked right over to a competitor they trusted more.
These findings come from Usercentrics’ 2026 State of Digital Trust Report, and they matter for any business, even if they don’t think of themselves as an AI company. AI is already embedded in the tools most small businesses run on daily, whether they make the choice deliberately or not.
Any business using a tool that personalizes the customer experience, whether that’s product recommendations, email segmentation, or retargeted ads, is using customer data. Customers know it, and a growing number of them are making purchasing decisions based on whether they trust you with their information.
For smaller businesses, this can turn into a blind spot. They don’t have a privacy team, legal department, or consent strategy to fall back on when data situations become complicated. That gap is where customers are looking and basing their judgement calls.
Where Is the Line Between Creepy and Comfortable?
71% of consumers say AI-driven personalization feels intrusive. On the surface, it seems like a signal to pull back, but research says otherwise. Among consumers who understand their data rights and make active consent decisions, 53% are comfortable with companies using their information. That number drops significantly if a customer is unaware of what happens to their data.
This tells business owners that discomfort isn’t necessarily about personalization itself. When a customer feels like their data is being taken from them rather than being given, issues arise. When customers understand what a brand is doing and feel like they chose it, they’re nearly three times more likely to be okay with it.
This tracks with recent Gartner data that found 50% of consumers say they’d prefer to give their business to brands that don’t use generative AI in consumer-facing content. When AI is transparent, helpful, and in the customer’s control, is when it strengthens the digital experience instead of weakening it.
The conversation around proactive and transparent data practices may seem like something small businesses can get away with skipping over. But somewhere down the line, a customer gets a recommendation that feels a little too precise, and trust can take a hit. When trust erodes, it doesn’t always show up as an immediate cancellation. It starts with a customer who stops opening your emails or trying your newest product. Maybe they mention their concerns to a friend. The data reflect this: 35% of consumers who acted over AI data concerns took two or more actions against the same brand. It compounds.
The Trust Gap Is an Execution Problem
The same three drivers continue to influence consumer trust: a clear explanation of how their data is used (44% cite this as most important), strong security guarantees (42%), and the ability to control what they share (41%).
This doesn’t require a privacy team or elaborate internal dashboard to execute. When a business is clear about what they do with the data, keeps data safe, and gives consumers a real way to opt out of things they don’t want, trust follows.
The gap exists almost entirely on the execution side. 46% of consumers still don’t have a good understanding of how their data is collected and used. This number hasn’t changed in two years of ongoing privacy headlines and the expansion of AI at scale. Brands are not closing this gap. Most small businesses aren’t even trying. The upside of investing in transparency upfront can no longer be ignored. Over half of consumers globally say they’d pay an average premium of 7% to a brand that gets AI transparency right.
Where Should SMBs Start?
Small businesses don’t need a compliance department to establish privacy-led trust. There are a few practical steps can make a difference:
- Audit your cookie banner. Most businesses set it up once and forget about it. Check whether your current web setup explains what data is collected and why. It gives customers a real way to decline non-essential cookies and aligns with what analytics and ad tools are actually collecting. The default cookie settings from most marketing platforms are set to capture as much data as possible—always ask yourself if it’s the best way to build trust with your customers.
- Rewrite your privacy policy in plain language. Most policies are written by lawyers for other lawyers. Customers who do take the time to read them may walk away feeling suspicious or uncertain about where their information stands. A policy that explains what is collected, why, and how to remove information does more for trust than any marketing claim about valuing customers can do.
- Call out what your AI tools are doing. If your email platform segments customers by purchase behavior, say so. If your website displays personalized product recommendations, say so. Customers know something is happening behind-the-scenes. An honest explanation removes the “How do they know that?” reaction and replaces it with “Oh, that’s how it works.”
The Brands That Win on Trust Are Acting Now
Consumer behavior regarding AI data use has shifted from sentiment to action. When small businesses treat data transparency as a growth decision rather than a legal or compliance obligation, they have a real opportunity to differentiate themselves in the marketplace. Larger competitors are slower, more siloed, and less able to make transparency feel truly personal. The customers that businesses earn on trust are the ones who stay, spend more, and tell their network.
Tilman Harmeling is the head of Marketing Intelligence & Strategy at Usercentrics, and is a data protection expert with a career focus on the business and technical complexities of privacy. He is primarily involved in data-driven projects related to consent-based marketing, such as opt-in analysis and optimization, and the impact of AI on consent and preference management. Tilman’s goals are to understand the ever-changing privacy landscape and find opportunities for innovation. He is a sought-after speaker on current privacy topics at events like PrivSec Global, OMR, DMEXCO, the BCG MarTech Series, and Leadership Beyond Borders.
Photo courtesy Philip Oroni for Unsplash+
