Your customers would rather use ChatGPT than your chatbot, Gartner finds
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Your customers would rather use ChatGPT than your chatbot, Gartner finds

July 8, 20267 views2 min read

Customers are three times more likely to use third-party GenAI tools like ChatGPT than company chatbots, according to Gartner. This highlights a gap between business AI investments and customer expectations.

In a striking revelation from Gartner, Inc., a leading research and advisory firm, it has been found that customers overwhelmingly prefer using third-party generative AI tools like ChatGPT over their own company's chatbots when seeking assistance. The survey, which included responses from 3,566 customers, found that people are approximately three times more likely to turn to external AI platforms rather than internal solutions to resolve service-related issues.

Customer Preference Shifts Toward External AI Tools

This preference highlights a significant gap between what businesses invest in and what their customers actually use. While companies have poured substantial resources into developing custom chatbots and AI-driven support systems, the results suggest that these internal tools are falling short in terms of user satisfaction and perceived effectiveness. The study underscores a growing concern that businesses may be misallocating their AI investments.

Why Third-Party Tools Are Winning Out

Experts believe the appeal of tools like ChatGPT lies in their advanced natural language processing capabilities, ease of use, and perceived reliability. These platforms have set a high standard for conversational AI, making internal solutions appear outdated or less capable by comparison. "Customers don't care about the brand behind the AI, they care about the experience," said a Gartner analyst. The findings suggest that businesses must now prioritize not just the technology, but the overall user experience to compete with these powerful external tools.

Implications for Business Strategy

For companies looking to maintain customer trust and satisfaction, this data serves as a wake-up call. It emphasizes the need for continuous improvement in internal AI systems, including better training data, more intuitive interfaces, and enhanced problem-solving capabilities. Organizations may need to reassess their AI strategies and consider integrating more robust, user-centric features into their chatbot systems to meet evolving expectations.

Ultimately, the preference for external AI tools signals a broader shift in customer expectations and the competitive landscape of AI-driven customer service.

Source: TNW Neural

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