15+ AI Customer Service Statistics (2025)

of service professionals use at least one form of AI — 39% use agentic AI specifically

From Tidio's analysis of Salesforce industry data. AI has moved well beyond pilot in customer service teams.

of customer service workers said they were using generative AI for work — the lowest of all departments surveyed

Only 15% said they plan to use genAI in the future. Service workers lagged behind marketers (51%) and salespeople (~33%) in adoption.

of service leaders say AI agent investment is essential for their organisation

Despite slower adoption rates among individual service reps, leadership sees AI agents as a strategic priority.

of customer interactions will eventually involve AI in some form, predicts the Zendesk CEO

59% of customers already believe AI will change how they interact with companies within the next two years.

of service teams with AI say it reduces their costs

From Salesforce's State of Service report. Cost reduction is one of AI's clearest benefits in service operations.

reduction in customer service costs through AI chatbots

Businesses report up to $20M in cost savings from chatbot deployments. The average chatbot ROI is 1,275% based on support cost savings.

of service reps' time is spent on non-customer-facing tasks like admin and data entry

AI can automate these tasks — freeing reps to focus on what matters: customer relationships. 85% of reps at AI-using orgs say it saves time.

average longest time US consumers have spent trying to resolve a single issue with customer service

Longer than a full workday. AI agents can dramatically reduce this by providing instant, consistent resolution across channels.

service professionals using generative AI say it helps them serve customers faster

Despite lower adoption rates, service pros who do use AI overwhelmingly report faster resolution and improved performance.

of customer service cases expected to be resolved by AI by 2027 — up from 30% in 2025

Service professionals themselves forecast rapid growth in AI case resolution within just two years.

increase in case resolution seen by Wiley after deploying Salesforce's Agentforce — outperforming their old bot

A real-world example from one of the first major Agentforce deployments, demonstrating tangible improvements over previous-gen chatbots.

of US customer service interactions involve at least one transfer, consumers estimate

Customers walk away from nearly one-third of service interactions without getting what they need. AI agents can reduce transfers by resolving queries at first contact.

of consumers are frustrated when customer service can't resolve their issues instantly

Two-thirds of consumers expect instant resolution — a bar that AI agents are uniquely positioned to meet.

of consumers don't care how they interact with a company as long as their problems are fixed fast

Speed of resolution matters more than channel. One-third of consumers would rather purchase through AI agents than with a person.

of consumers would work with an AI agent instead of a human to avoid repeating themselves

Repetition is a top frustration. AI agents retain full context across the interaction, eliminating this pain point.

of service professionals worry they will lose their job if they don't learn to use generative AI

Ironically, service workers are both the most worried about AI and the least likely to be using it. 60% say they don't know how to get value from GenAI at work.