AI Advertising and the Erosion of Consumer Trust

Advertising campaigns have become more effective, personal, and flexible with the help of Artificial Intelligence. It automates repetitive tasks, analyses large quantities of data, and creates targeted ads for individual customers. AI-driven advertising increases marketing efficiency, boosts conversions, and reduces customer acquisition costs.

With this increased sophistication in AI advertising, consumers have lost some trust in it. A growing number of consumers are questioning how their highly personalised ads are created and how closely their online behaviour is being tracked. According to a Cint survey, 27% of consumers are at least somewhat concerned about the role of AI in advertising.

Why Are Consumers Sceptical of AI Advertising?

Consumer scepticism stems primarily from concerns about data privacy. Many consumers worry about how and where they have been tracked when they receive an unfamiliar brand's personalized advertisement.

By utilizing cookies, pixels, and third-party data, companies can create a personalized user profile for each consumer. This example reflects a principal-agent problem in the context of digital platforms, where consumers rely on platforms to protect their interests and private data, while the platforms themselves seek to maximize engagement and advertising revenue.

Given that companies have access to substantially more information about their data collection practices than consumers do, it can be difficult for consumers to understand or control how companies use their data.

From this data, companies are capable of developing advertisements tailored specifically to individual consumers. Although advanced profiling improves the efficiency and relevance of advertising, it also raises important unanswered questions about how advertisements are created and delivered.

From an economic standpoint, these practices may also be considered a negative externality. While businesses benefit from more efficient advertising and higher conversion rates, consumers may bear hidden costs in the form of reduced privacy, increased tracking, and growing uneasiness online. These social costs may not be reflected in the price of the product being advertised or in the costs of the advertising campaign itself.

As consumers become more aware of these hidden costs, their behaviour begins to change in ways that reduce the effectiveness of AI-driven advertising.

The growing use of generative AI to produce advertising content has also raised concerns among consumers. Advertisements that use AI-generated people, synthetic voices, or exaggerated marketing claims may cause consumers to question whether brands are being transparent and honest in their advertising practices.

When consumers lose trust in a brand, brand equity and long-term customer loyalty may weaken over time, increasing costs for businesses. Even when advertisements are delivered through third-party advertising platforms, consumers often associate intrusive targeting practices with the company being advertised.

Although firms may attempt to appear relevant and helpful through targeted advertising, excessive personalisation can create the opposite effect if consumers feel they are being constantly monitored online.

Consumer Response

Many consumers' behaviours are changing due to concerns over privacy and surveillance. As trust in AI advertising diminishes, behavioural approaches are increasing as users utilise tools to reduce tracking and the collection of their personal data.

Ad Blockers

Ad block tools are one of the easiest ways to eliminate AI advertising from the internet. In 2026, 29.5% of internet users in the UK use ad blockers.

By using an ad blocker, users prevent companies from collecting data generated from their internet browsing, thus creating substantial barriers for companies in building profiles of users and target advertising. This limits the effectiveness of targeted advertising based on very specific user behaviours.

Private Browsers

Brave and Firefox are safer and more private than Chrome, Safari, and Edge. In addition to ad blocking and tracker blocking, Brave has built-in tracker blocking and Firefox has Total Cookie Protection, which helps stop websites tracking users across the web. In general, people are willing to give up some of their convenience (personalization/customization) for more privacy and less tracking.

VPNs

Certain consumers use Virtual Private Networks (VPNs) to limit the amount of location data collected by advertisers for targeted advertising campaigns. Advertisers often rely on IP addresses to estimate a user’s location and analyse browsing behaviour.

A basic VPN definition helps explain why this technology can reduce the effectiveness of AI-driven advertising. By masking a user’s home IP address, VPNs make it more difficult for advertising networks to track online activity and build accurate consumer profiles for targeted advertisements.

What Does the Lack of Trust Mean for Advertisers?

If consumer trust continues to decline, the AI advertising model will be less effective. AI-based ad targeting relies on consumer data, and limited consumer data leads to information asymmetry for companies and a less effective advertising process. Thus ad targeting will have an impact on targeted campaigns success.

Many organizations have to put more focus on being transparent with their customers. Companies need to provide an explanation to their customers about how they are using AI technology for advertising, as well as how they are collecting, storing, processing, and using customer data. Furthermore, companies could provide some type of identification on advertisements that are “AI generated” to help consumers understand how the content for advertising is developed.

Even if transparency issues are addressed, it may not bring back the level of trust that consumers had previously. Companies may need to consider how much data they are collecting from customers, and whether or not they are using advertising methods that may be intrusive, and whether taking such an approach will lead to long-term relationships with customers or could result in damage to their reputation in the marketplace over time.

Can AI Advertising Survive?

Current consumer behaviour suggests that it may become even harder to sustain the current model for using AI in advertising without better privacy protections and greater transparency. Increasing worries about trust will also lead to an increase in the technologies consumers use to avoid tracking and targeted advertising, such as ad blocking software, private web browsing, and virtual private networks.

The current model for AI advertising will likely need to reduce the negative externalities associated with excessive data collection by limiting hyper-intrusive tracking practices (increased intrusion due to less transparency) and rebuilding consumer trust through an increase in transparency.