The High Cost of Ignoring Consumer Concerns About AI

Marketers love AI, but consumers … not so much. That’s the broad takeaway from our review of nine recent reports on AI and marketing. Understanding the specifics of what and why consumers disagree is essential for marketers if they hope to connect with consumers.

The reports have different methodologies, so this can’t be an apples-to-apples comparison. Even so, it is clear that the differences must be considered when implementing any customer-facing AI. (Links to all the reports are at the end of this article.)

Consumers don’t trust AI

One of the most striking disagreements lies in the realm of trust. 

Capgemini’s “Unleashing the Value of Customer Service” paints a picture of organizations embracing genAI and agentic AI. Likewise, Ascend2’s “The Evolution of AI in Marketing 2025” found marketers have high levels of trust in AI-driven insights (albeit often with human validation). 

Consumers feel differently, to put it mildly. The ARF’s “Consumer Trust and Privacy Concerns in 2024” ranks AI technologies among the least trusted for safeguarding digital privacy. Likewise, in Omnisend’s “AI in Ecommerce: Trust, Privacy, and Consumer Perspectives,” 58% of consumers worry about how AI handles their data, and 39% have abandoned purchases due to frustrating AI interactions.

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To be clear, consumers aren’t entirely opposed to AI interactions. Five9’s “2025 Customer Experience Report” found that 72% of consumers are open to AI-powered interactions if they can escalate to a human. However, trust is still a significant factor: 30% doubt AI accuracy and a negative chatbot experience can lead to future avoidance, especially among older generations. 

Of course, there’s a consumer contradiction here. According to Capgemini, 60% of consumers are willing to pay more for AI-enhanced services.

This difference in trust levels is a critical factor that businesses must address to ensure successful AI implementation and maintain customer confidence.

The question of authenticity

Marketers and consumers are also divided about AI’s creative capabilities. SurveyMonkey’s “State of Marketing 2025” found that 46% of consumers dislike companies that use AI to generate content, and 43% are less likely to purchase from such a company.

B2B is AI positive

Business buyers are more pro-AI than consumers, likely because it makes product research easier and faster for them. SurveyMonkey’s “State of Marketing 2025” found that business buyers are 25% more likely to strongly agree that AI agents are helpful than consumers. Like business buyers, consumers are more comfortable interacting with AI earlier in the purchasing process, during the exploration phase, according to SurveyMonkey. 

Bridging the divide for successful AI integration

These surveys illuminate the disconnect between marketers’ excitement about AI and what customers want, expect and trust. Closing this gap requires transparency,  keeping data secure, ensuring easy access to human support when needed, and respecting how and where people prefer to interact.

Reports

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# The High Cost of Ignoring Consumer Concerns About AI

Artificial Intelligence (AI) is transforming industries, from healthcare to finance, retail, and beyond. While businesses are eager to harness AI’s potential for efficiency, cost savings, and innovation, consumers are increasingly voicing concerns about privacy, bias, job displacement, and ethical risks. Ignoring these concerns can come at a steep price—both financially and reputationally.

## The Growing Consumer Concerns About AI

As AI becomes more integrated into daily life, consumers are raising critical questions about its impact. Some of the most pressing concerns include:

– **Privacy and Data Security** – AI systems often rely on vast amounts of personal data, raising fears about how that data is collected, stored, and used. High-profile data breaches and misuse of personal information have made consumers wary.
– **Bias and Fairness** – AI algorithms have been found to reflect and even amplify societal biases, leading to unfair treatment in areas like hiring, lending, and law enforcement. Consumers are demanding greater transparency and fairness.
– **Job Displacement** – Automation powered by AI threatens certain job sectors, leading to anxiety about employment stability and economic inequality.
– **Lack of Transparency** – Many AI systems operate as “black boxes,” making it difficult for consumers to understand how decisions are made. This lack of transparency erodes trust.
– **Ethical and Safety Risks** – From deepfakes to autonomous weapons, AI raises ethical concerns that consumers expect companies and governments to address responsibly.

## The Risks of Ignoring Consumer Concerns

Companies that dismiss or downplay these concerns risk significant consequences, including:

### 1. **Loss of Consumer Trust**
Trust is a critical factor in consumer adoption of AI-powered products and services. If consumers feel that a company is not addressing their concerns, they may choose to disengage, switch to competitors, or resist AI-driven innovations altogether.

### 2. **Regulatory and Legal Consequences**
Governments worldwide are responding to AI-related concerns with new regulations, such as the European Union’s AI Act and stricter data privacy laws. Companies that fail to proactively address consumer concerns may find themselves facing legal challenges, fines, or forced compliance with stricter regulations.

### 3. **Brand Reputation Damage**
Public backlash against AI-related missteps can severely damage a company’s reputation. High-profile AI failures—such as biased hiring algorithms or facial recognition inaccuracies—have led to widespread criticism, boycotts, and loss of consumer confidence.

### 4. **Financial Losses**
Ignoring consumer concerns can lead to decreased sales, loss of market share, and costly lawsuits. Companies that fail to build AI responsibly may also face increased operational costs due to regulatory fines or the need to overhaul flawed AI systems.

### 5. **Missed Market Opportunities**
Consumers are more likely to embrace AI when they feel their concerns are being addressed. Companies that prioritize ethical AI development and transparency can differentiate themselves, gaining a competitive edge in the market.

## How Companies Can Responsibly Address Consumer Concerns

To avoid these risks, businesses must take proactive steps to build consumer trust in AI:

– **Prioritize Transparency** – Clearly explain how AI systems work, what data is being collected, and how decisions are made. Providing consumers with control over their data can enhance trust.
– **Ensure Fairness and Bias Mitigation** – Regularly audit AI models for bias and take steps to ensure fairness in decision-making. Involving diverse teams in AI development can help reduce bias.
– **Adopt Ethical AI Principles** – Establish ethical guidelines for AI use, ensuring that AI applications align with societal values and human rights.
– **Engage with Consumers** – Actively listen to consumer concerns through surveys, public discussions, and feedback mechanisms. Addressing concerns early can prevent backlash.
– **Comply with Regulations** – Stay ahead of evolving AI regulations and adopt best practices to ensure compliance and responsible AI use.

## Conclusion

The cost of ignoring consumer concerns about AI is too high for businesses to overlook. Companies that fail to address issues of privacy, bias, transparency, and ethics risk losing consumer trust, facing legal consequences, and damaging their brand reputation. On the other hand, businesses that take a responsible and proactive approach to AI development can build stronger relationships with consumers, foster trust, and unlock new market opportunities. In the age of AI, responsible innovation is not just a moral imperative—it’s a business necessity.