Customers Prefer Human Agents Over AI Chatbots Study Finds
The global chatbot market has surged from $370 million in 2017 to $2.2 billion in 2024, yet customers still trust human agents more, according to McGill Desautels professor Vivek Astvansh. His analysis of 500,000 interactions shows humans better understand and mirror customer language, leading to faster and more frequent responses.
Rapid Growth of Chatbot Market
The global chatbot market has experienced significant growth, expanding from $370 million in 2017 to an estimated $2.2 billion in 2024. Despite this rapid adoption, a new study suggests that customers still favor human customer service representatives over AI-powered chatbots.
Key Insights from the Research
Vivek Astvansh, an Associate Professor of Quantitative Marketing and Analytics at McGill Desautels, conducted a comprehensive analysis of over 500,000 interactions between chatbots and customers. His findings highlight several critical differences:
- Language Understanding: Human agents demonstrated a superior ability to follow and adapt to customer language compared to AI chatbots.
- Mirroring Customer Language: Human representatives were more effective at mirroring the language of customers, which led to **quicker and more frequent responses from customers.
- Trust Factor: Customers exhibited higher levels of trust in human agents, despite the increasing sophistication of AI chatbots.
Implications for Businesses
While AI chatbots offer scalability and efficiency, businesses may need to strike a balance between automation and human touch to meet customer expectations. The study underscores the importance of:
- Enhancing AI Capabilities: Improving chatbots' ability to understand and mimic human language.
- Hybrid Models: Combining AI efficiency with human empathy for optimal customer service.
- Customer Trust: Prioritizing trust-building measures, as human interaction remains a key driver of customer satisfaction.
For more details on the study, visit McGill Desautels.
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About the Author

David Chen
AI Startup Analyst
Senior analyst focusing on AI startup ecosystem with 11 years of venture capital and startup analysis experience. Former member of Sequoia Capital AI investment team, now independent analyst writing AI startup and investment analysis articles for Forbes, Harvard Business Review and other publications.