# Trust as a Critical Barrier to AI Adoption in Customer Experience

> The Ipsos study uncovers that customer trust is essential for AI adoption in CX, revealing that emotional connections with brands can significantly influence consumer willingness to engage with AI technologies.

**Source**: ipsos.com | **Published**: 2026-09-23 | **Type**: research

## Key Facts

- 38% believe AI benefits companies more than customers, indicating a trust deficit in AI adoption.
- Only 7% trust AI to act independently, revealing a significant vulnerability in customer engagement.
- Emotionally attached customers are 4% more likely to accept AI, highlighting the power of brand loyalty.
- AI investments focused on speed may neglect emotional connection, risking average customer experiences.
- Trust must precede AI deployment; skipping this step leads to wasted investments in unused technology.

## Summary

Recent findings from Ipsos' 2026 CX Global Insights study reveal a critical barrier to AI adoption in customer experience: trust. While organizations may assume that deploying AI technology will naturally lead to customer engagement, the study suggests that emotional connection with brands is paramount. This insight challenges prevailing assumptions in AI strategy, emphasizing that without trust, even the most advanced technologies will struggle to gain acceptance among consumers.

The study, which surveyed respondents across 23 markets, indicates a significant skepticism toward AI. Notably, 38% of participants believe that companies will benefit more from AI than customers, with only 12% asserting that the technology serves consumer interests. This perception of AI as primarily a tool for corporate gain contributes to a reluctance to embrace it. While 61% of respondents are open to some AI involvement in their experiences, a mere 7% are comfortable allowing AI to operate independently without human oversight. This highlights a strong preference for maintaining human control over AI interactions, suggesting that the technology's potential is constrained by customer trust.

Emotional connection emerges as a key driver of AI acceptance. The study reveals that customers who feel emotionally attached to a brand are significantly more likely to engage with AI. Among this group, only 25% decline to use AI, compared to 33% of those who are merely functionally satisfied. Furthermore, emotionally attached customers are more willing to grant AI autonomy, with 9% prepared to let AI act independently, versus only 5% among those lacking emotional ties. This underscores a fundamental shift in how organizations should approach AI deployment: it is not the technology itself that fosters trust, but rather the emotional bonds that brands cultivate with their customers.

For businesses, this insight necessitates a reevaluation of AI strategy. Historically, investments in AI have focused on speed and cost-efficiency, aiming to streamline operations and reduce human involvement. However, this approach risks overlooking the essential human connection that drives customer loyalty. Organizations must prioritize the design of AI experiences that enhance emotional engagement rather than merely expedite service delivery. This involves asking critical questions about how AI interactions impact customers' feelings of control, certainty, fairness, enjoyment, and belonging.

The implications for customer experience (CX) leaders are significant. Rather than rushing to implement AI solutions, organizations should first focus on building trust and emotional connections with their customers. AI can amplify these relationships, but only if it is introduced into an environment where customers already feel valued and understood. Companies that neglect this foundational work may find their AI investments yield minimal returns, as customers remain hesitant to engage with technologies they do not trust.

As the market evolves, organizations must recognize that the future of AI in customer experience hinges on emotional intelligence. The ability to foster genuine connections will distinguish successful companies from their competitors. Those that prioritize trust-building will not only enhance customer satisfaction but will also create a fertile ground for AI to thrive. In this landscape, the strategic focus should shift from merely adopting new technologies to cultivating the human relationships that empower those technologies to succeed.

## Entities

- **Companies**: Ipsos
- **Technologies**: AI

## Key Concepts

customer trust, AI adoption, emotional connection, customer experience, AI involvement, human control, CX Global Insights study, Forces of CX

## Definitions

- **AI**: Artificial Intelligence, a technology that enables machines to perform tasks that typically require human intelligence.
- **CX**: Customer Experience, the overall perception and interaction a customer has with a brand or organization.
- **emotional connection**: The bond that customers feel towards a brand, influencing their willingness to engage with AI.
- **AI-trust deficit**: The gap between customer willingness to use AI and their trust in the organizations deploying it.
- **Forces of CX**: A framework by Ipsos for designing customer experiences that enhance emotional connection.

## Use Cases

- AI in customer service to enhance speed and efficiency
- AI-driven recommendations based on customer preferences
- AI for personalized marketing strategies
- AI in data analysis for customer insights
- AI for automating routine tasks in customer interactions
- AI in feedback collection and analysis

## Frequently Asked Questions

**Why is customer trust important for AI adoption?**

Customer trust is crucial because it determines how willing customers are to engage with AI technologies. Without trust, even the most advanced AI solutions may face hesitation and refusal from users.

**How does emotional connection influence AI usage?**

Emotional connection significantly impacts AI usage; customers who feel emotionally attached to a brand are more likely to accept AI involvement in their experiences. This connection fosters a greater willingness to grant AI autonomy.

**What should organizations prioritize when implementing AI?**

Organizations should prioritize building emotional connections and trust with their customers before deploying AI. This foundational work ensures that AI can be effectively integrated into customer experiences.

**What are the risks of focusing solely on AI technology?**

Focusing solely on AI technology can lead to a lack of human connection in customer experiences. This may result in customers feeling disengaged and less likely to utilize AI solutions.

**How can organizations design better AI customer experiences?**

Organizations can design better AI customer experiences by considering factors such as Control, Certainty, Fair Treatment, Status, Enjoyment, and Belonging. This approach ensures that AI enhances the human connection rather than detracting from it.

## Links

- [Read on Welcome.AI](https://welcome.ai/content/trust-as-a-critical-barrier-to-ai-adoption-in-customer-experience)
- [Original source](https://www.ipsos.com/en/how-trust-drives-ai-adoption-customer-experience)

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Source: Welcome.AI | https://welcome.ai/content/trust-as-a-critical-barrier-to-ai-adoption-in-customer-experience