What Consumers Really Think About Live vs. AI-Powered Agents

2026-05-14 · Source: Execs In The Know · Field: Business & Management — Corporate Strategy & Leadership, Operations & Process Management, Project & Product Management · Depth: Intermediate, quick

Summary

A recent research report, "Consumer Perspectives on Contact Center Agents and Soft Skills," reveals nuanced consumer attitudes towards live versus AI-powered customer care agents. While 68% of consumers rate live agent interactions as "Better" or "Much Better" compared to 53% for AI, a significant 71% feel neutral or better about AI as a first point of contact. Consumers expect AI to be "Highly Knowledgeable and Accurate" (14%) and "Efficient/Quick" (13%), prioritizing performance over personality. For simple tasks like paying a bill, preference between live and AI agents is nearly even (52% vs. 48%). However, for complex issues, 58% prefer a live agent, and 81% consider access to a human "Extremely Important" or "Somewhat Important." The study also highlights that live agents need to improve "Effective Problem-Solving" (16%) and "Being Highly Knowledgeable" (15%), skills consumers currently find lacking in human interactions. The future of customer experience involves integrating human and AI strengths.

Key takeaway

For CX leaders designing future customer support strategies, you must integrate AI and human agents based on task complexity and consumer expectations. Prioritize AI for efficient handling of simple inquiries, leveraging its speed and accuracy. Reserve live agents for complex issues requiring nuanced judgment and empathy, ensuring they receive training in problem-solving and knowledge. This approach optimizes resource allocation and enhances overall customer satisfaction.

Key insights

Consumers prioritize AI for efficiency and accuracy, reserving human agents for complex issues requiring empathy and judgment.

Principles

• AI excels at speed, availability, and accuracy.
• Live agents provide judgment, empathy, and complex resolution.
• Match interaction type to resource for optimal CX.

In practice

• Design AI for knowledge and efficiency, not human mimicry.
• Prioritize human agent training in problem-solving.
• Route simple tasks to AI, complex issues to live agents.

Topics

• Customer Experience
• AI Agents
• Live Agents
• Contact Centers
• Consumer Preferences
• Soft Skills
• Issue Complexity

Best for: Product Manager, AI Product Manager, Consultant, Operations Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by Execs In The Know.