30 AI & human customer service statistics every business should know.

85% of people would rather speak to a real person than AI when contacting a business.

57% say they would trust a business less if it relied mainly on AI for customer service.

73% say they are more loyal to companies that provide human customer support.

Those numbers tell a very different story from the one dominating many conversations about AI. Artificial intelligence is changing customer service quickly, but customer expectations are not changing at the same pace. Some companies are committed to keeping people at the center of service, while others are putting resources into AI.

Studies from groups like Gartner, Pew Research Center, Zendesk, PwC, SurveyMonkey, and AnswerConnect’s own OnePoll research with 6,000 consumers show a consistent pattern: customers value speed and convenience, but they care just as much about trust, accuracy, empathy, and access to a real person when it matters. This is why the best customer service strategies use human expertise, powered by tech, not replaced by it.

In this guide, we’ve gathered 30 key statistics about AI and human customer service to help you explore:

• What customers really think about AI-powered service
• Why people still prefer human support in many situations
• How quickly AI is being adopted
• Where AI genuinely improves customer service
• Why keeping people at the center of customer conversations remains a competitive advantage

Whether you’re looking into AI adoption or want to improve your customer experience, these statistics show where customer service is going and why human interaction still matters.

Key findings: AI customer service trends

• Customers do not want AI replacing access to real people.
• Trust declines when AI becomes a barrier to speaking with a person.
• Accuracy, empathy, and clearer explanations remain major advantages of human service.
• Customers increasingly expect businesses to disclose when they are interacting with AI.
• AI creates value by removing repetitive work and helping people deliver better service.
• AI investment is increasing rapidly, and competitive pressure is pushing many businesses to adopt it regardless of proven customer benefit.
• The businesses that stand out will keep humans front and center while using technology behind the scenes to support them.

AI & human customer service statistics at a glance

• 85% would rather speak to a real person than AI when contacting a business (AnswerConnect/OnePoll).
• 73% say they are more loyal to companies that provide human customer support. (AnswerConnect/OnePoll).
• 57% say they would trust a business less if it relied primarily on AI for customer service (AnswerConnect/OnePoll).
• 84% of consumers believe human agents are more accurate than AI (SurveyMonkey).
• 71% believe human agents show more empathy and care than AI. (AnswerConnect/OnePoll).
• 64% of customers would prefer companies didn’t use AI for customer service (Gartner).
• 53% would consider switching to a competitor over a company’s use of AI in customer service (Gartner).
• 78% say it’s important to be able to switch from AI to a human agent (SurveyMonkey).
• 81% believe companies use AI primarily to cut costs rather than improve customer service (SurveyMonkey).
• 75% of CX leaders believe AI should amplify human intelligence rather than replace it (Zendesk).

See it for yourself

Statistics can describe frustrations. This call shows it. Watch a real AI customer service interaction fail to understand a caller, the exact experience that leaves 59% of customers frustrated and has convinced 41% that AI has made customer service worse.

Watch: AI Call Answering Fail.

Part 1: Customer trust and attitudes toward AI

How do customers actually feel about AI? Businesses may be racing to adopt AI, but customer sentiment has not evolved at the same pace. Many consumers appreciate faster service and round-the-clock availability. At the same time, concerns about accuracy, bias, transparency, and access to human support continue to shape how people feel about AI-powered customer service.

64% of customers would prefer companies not to use AI for customer service

Almost two-thirds of customers would prefer businesses not to use AI in their customer service operations.

Source: Gartner

Gartner found that one of their biggest concerns is that AI will make it more difficult to reach a person. Customers may be comfortable with automation when it solves a straightforward problem. Resistance grows when AI becomes an obstacle rather than a useful shortcut.

53% would consider switching to a competitor over the use of AI in customer service

More than half of customers said they would consider moving to a competitor if they discovered that a company planned to use AI for customer service.

Source: Gartner

AI implementation is more than an operational decision. It can affect customer loyalty, reviews, and brand perception. Businesses need to demonstrate that tech is being used in a balanced way to improve service, rather than being introduced solely to reduce headcount or restrict access to human support.

63% do not believe AI could ever replace humans in customer service

Almost two-thirds of consumers do not think AI will ever be capable of completely replacing human customer service.

Source: Kinsta

Customers recognize that many conversations require more than information retrieval. Complaints, emergencies, unusual requests and emotionally sensitive situations often depend on judgment, reassurance and the ability to respond flexibly. These are areas where knowledgeable people continue to create significant value.

41% of consumers believe customer service has worsened because of AI

More than four in ten consumers feel that the introduction of AI has made customer service worse.

Source: Kinsta

Efficiency gains inside a business do not automatically translate into a better experience for the customer. A company may reduce its cost per interaction while increasing customer effort, repeat contacts, and frustration. Success should therefore be measured through resolution, customer satisfaction, and retention, not automation rates alone.

63% of consumers are concerned about bias and discrimination in AI decisions

Almost two-thirds of consumers are concerned about potential bias and discrimination in AI algorithms and automated decision-making.

Source: Zendesk

Trust becomes particularly important when AI influences refunds, complaints, account decisions, or access to services. Businesses need appropriate human oversight, clear escalation routes, and transparency about how automated decisions are made. Customers should also have a meaningful way to question or challenge an outcome.

50% would cancel a service if they discovered it was supported entirely by AI

Half of consumers said they would consider canceling a service if its customer support was exclusively AI-driven.

Source: Kinsta

A fully automated model may appear efficient, but it can create a serious retention risk. Businesses are waking up to the increasing value of human customer service. They should make it clear that customers can speak with a person to resolve their issues. A visible human safety net is important.

89% believe companies should always offer the option to speak with a human

Nearly nine in ten consumers believe businesses should preserve access to human customer service.

Source: SurveyMonkey

Customer choice is becoming a central part of responsible AI adoption. Businesses should make human connection obvious, simple, and fast for all customer interactions.

42% would pay more for access to human representatives

More than four in ten consumers say they would be willing to pay extra to access human customer service.

Source: Kinsta

Human support is not just expected, but a competitive advantage. For a meaningful share of consumers, it has tangible value. Companies competing in high-trust or high-consideration markets can differentiate themselves by making knowledgeable, accessible human service part of their customer promise.

Half of Americans are more concerned than excited about AI

50% of US adults say the increased use of AI in daily life makes them feel more concerned than excited. Only 10% say they are more excited than concerned.

Source: Pew Research Center

Public attitudes toward AI remain cautious despite growing awareness and usage. Businesses cannot assume that familiarity automatically creates trust. Clear communication, responsible implementation, and customer control all remain important as AI becomes more common.

More than 70% of Americans believe AI is advancing too quickly

More than seven in ten Americans believe the development of AI is moving too quickly.

Source: Economist/YouGov

The speed of innovation is creating a gap between what technology can do and what the public feels comfortable accepting. Businesses should not introduce automation purely because it is technically possible. They need to consider whether customers understand it, trust it, and feel in control of the interaction.

Only 18% of young people aged 14 to 29 feel hopeful about AI

Less than one in five young people say they feel hopeful about artificial intelligence.

Source: Gallup

Being digitally confident is not the same as being comfortable with automation replacing human relationships, employment or decision-making. Brands should avoid assuming that younger customers automatically prefer AI-led service.

Expert insight: Customers don’t reject AI. They reject AI replacing people.

The strongest message across these statistics is not that customers hate tech. They oppose businesses using AI as a replacement for human support. People value speed, convenience, and automation for simple tasks. But when a problem is important, complex, or emotional, they still expect to reach a knowledgeable person. Many are even willing to pay more for that reassurance.

For businesses, the opportunity isn’t choosing between tech and people. It’s combining both. The companies that earn the most trust will use tech to make human service faster, more efficient, and more accessible, not harder to reach.

Part 2: Human vs AI customer service statistics

Do customers prefer talking to AI or a real person? When consumers compare AI with human customer service directly, people continue to lead in several areas: overall preference, trust, accuracy, empathy, and the ability to provide a thorough explanation.

Customer preference

Just 8% of respondents prefer AI to humans in customer service

Fewer than one in ten consumers say they would rather receive customer service from AI than from another person.

Source: SurveyMonkey

An AI-first service does not necessarily reflect customer preference. Businesses should be cautious about removing human channels simply because an automated alternative exists.

85% would rather speak to a real person than AI when contacting a business

AnswerConnect AI customer service survey found that 85% of consumers prefer speaking to a real person rather than AI when contacting a business, rising from 83% the previous year.

Source: AnswerConnect/OnePoll

Human preference is not disappearing as AI becomes more familiar. In our most recent research, it became even stronger. That suggests customers do not simply value access to information. They value being heard, understood, and reassured that someone is taking responsibility for their inquiry.

Want to see how a people-first answering service can improve your customer experience? Learn how AnswerConnect combines real receptionists with smart technology to make sure every caller gets the help they need:

Transparency and trust

75% want to know whether they are interacting with AI or a human

Three-quarters of consumers want businesses to disclose whether an interaction is being handled by AI or by a person.

Source: PwC

Transparency gives customers the information they need to make an informed choice. Attempting to make AI appear human may generate a short-term gain, but discovering that an interaction was automated can damage trust. Businesses should disclose AI use clearly rather than making customers work it out for themselves.

57% would trust a business less if it predominantly used AI for customer service

AnswerConnect research found that 57% of consumers would trust a company less if it relied mainly on AI for customer support, up from 53% in the previous year.

Source: AnswerConnect/OnePoll

Customer service communicates more than information. It signals how much a business values its customers. When automation appears to be replacing access to people, customers may interpret it as cost-cutting at their expense. Discover how to humanize your brand and build trust with customers. 

AI is losing customer trust, and businesses are paying the price. A hybrid model can protect efficiency while preserving trust.

Accuracy

84% believe human agents are more accurate than AI

More than four in five consumers believe people provide more accurate customer service than AI.

Source: SurveyMonkey

Accuracy remains one of the biggest trust barriers facing AI customer service, especially when inquiries are nuanced, unusual, or depend on context. AI can provide answers quickly, but an incorrect answer delivered instantly is not a successful customer experience. Human oversight remains essential where the consequences matter.

Frustration

52% believe human agents are less likely to frustrate them

More than half of consumers believe they are less likely to become frustrated when receiving support from a person.

Source: SurveyMonkey

Frustration often comes from repetition, rigid response paths, and the feeling that the system has not understood the problem. Human agents can adapt the conversation, recognize nuance, and respond to what the customer is actually trying to achieve rather than relying entirely on predefined options.

59% find AI agents frustrating when calling customer service

AnswerConnect AI customer service research found that 59% of consumers find AI agents frustrating during customer service calls, rising from 54% in the previous study.

Source: AnswerConnect/OnePoll

Voice AI can create particular friction because customers expect a phone conversation to be responsive and natural. When callers have to repeat themselves, use unnatural phrases, or struggle to reach a person, a tool intended to reduce effort can produce the opposite result.

What does that frustration actually sound like? Here’s a real example of what can happen when AI struggles to understand a caller:

Understanding and explanations

61% believe human agents understand their needs better

More than three in five consumers believe human customer service agents are better at understanding their needs.

Source: SurveyMonkey

Customers do not always explain their problem perfectly. They may be stressed, uncertain, or unfamiliar with the correct terminology. Human agents can ask follow-up questions, interpret tone, and uncover the real issue behind the initial inquiry.

53% believe humans provide more thorough explanations

More than half of consumers believe human representatives provide clearer or more complete explanations than AI.

Source: SurveyMonkey

A technically correct answer is not always a useful answer. Customers may need context, reassurance, and/or an explanation tailored to their level of understanding. Human agents can adjust their language and level of detail as the conversation develops.

Empathy

71% believe human agents show more empathy and care than AI

More than seven in ten consumers believe people demonstrate greater empathy and care in customer support situations.

Source: AnswerConnect/OnePoll

Empathy matters most when the customer is upset, vulnerable, or dealing with a high-stakes problem. AI may be able to mimic language, but customers often distinguish between words that sound sympathetic and the feeling that another person genuinely understands their situation.

How to unlock the power of empathy to improve customer retention. 

Identifying AI

54% feel confident they can tell when they are interacting with an AI chatbot

Just over half of consumers believe they can recognize an AI-powered chatbot.

Source: SurveyMonkey

Nearly half are therefore uncertain whether they can identify an automated interaction. This makes disclosure especially important. Customers should not have to analyze a service agent’s language or behavior to determine whether they are speaking with a person.

Expert insight: Human service wins where relationships matter

Human customer service remains the preference for a clear majority of consumers. Customers consistently rate human support higher across the qualities that matter most: trust, accuracy, empathy, understanding, and clear communication. When customers need reassurance, judgment, or confidence that someone genuinely understands their situation, people remain the preferred choice.

The most successful businesses won’t ask AI to replace these human strengths. They’ll use technology to support while giving their people more time to deliver the moments customers remember.

Part 3: AI adoption statistics 

How quickly are businesses adopting AI? AI is moving rapidly from experimentation into everyday customer service. Businesses are investing in tools, but adoption alone does not guarantee a better customer experience. These statistics show both the scale of investment and the pressure businesses feel to keep pace.

The AI customer experience market could exceed $117 billion by 2030

The wider market for AI across customer-facing functions – including customer support, marketing, sales and engagement – is forecast to exceed $117 billion by 2030.

Source: Fortune Business Insights

AI has moved beyond experimentation. For many organizations, the question is no longer whether to invest in AI, but how to introduce it in a way that genuinely improves the customer experience. 

64% of CX leaders plan to increase their investment in AI

Nearly two-thirds of customer experience leaders intend to increase their investment in AI and related technologies.

Source: Zendesk CX Trends

The strongest strategies use AI to remove repetitive tasks while allowing people to focus on conversations that require judgment, empathy and problem-solving.

75% of CX leaders see AI as amplifying human intelligence rather than replacing it

Three-quarters of CX leaders view AI as a tool for strengthening human capabilities, rather than eliminating human involvement.

Source: Zendesk

AI can help human agents find information, sum up conversations, handle admin tasks, and reply faster. But it can’t replace every part of the customer relationship. Companies can use AI to help their teams be more effective, while keeping human expertise at the heart of important customer conversations.

62% of CX leaders say their teams feel pressure to use generative AI

More than three in five CX leaders say their teams feel under pressure to implement generative AI.

Source: Zendesk

Businesses aren’t adopting AI because customers want it or because it always works well. Sometimes, they invest in AI because they worry about falling behind competitors. This can lead to using AI just to keep up, rather than to solve real customer problems. Every new use of AI should start with a clear customer need, not just following trends.

Expert insight: Keeping people at the center of service is the competitive advantage, not a concession.

The statistics show that businesses are rapidly investing in AI, and many feel pressure to keep pace with competitors. But adoption alone doesn’t create a better customer experience, and it should never come at the cost of the person on the other end of the call.

AI can take on the administrative work that sits behind a conversation, like pulling up an account or summarising a case. What it should not do is take over the conversation itself. Answering the phone, listening to a customer, and understanding what they actually need is not busywork to be automated away. It’s the relationship, and it’s exactly what customers say they want kept human.

The businesses that win the next decade of customer service won’t be the ones that automate the most. They’ll be the ones that keep a real person answering the phone, front and center, because that’s what the statistics and the customers behind them are asking for.

Part 4: Where AI can improve customer service

Where does AI work best in customer service? The evidence is not entirely one-sided. AI can create genuine value by making straightforward support faster, helping agents find information, and reducing repetitive administrative work. The challenge is ensuring that efficiency serves the customer rather than simply lowering the organization’s costs.

Customer expectations for initial response speed increased by 63%

Customer expectations around how quickly businesses should provide an initial response increased substantially between 2023 and 2024.

Source: AIPRM

Customers increasingly expect businesses to respond immediately, regardless of the time or channel. AI can help human agents retrieve basic information and provide support. This is where automation can create genuine value without trying to replace the entire conversation.

81% believe businesses use AI primarily to reduce costs

More than eight in ten consumers believe companies introduce AI mainly to cut costs rather than improve service quality.

Source: SurveyMonkey

Customers are quick to recognize when automation appears designed for the company’s benefit rather than their own. Businesses need to demonstrate the value customers receive, especially when that value lies in more knowledgeable human support.

Klarna reduced average resolution times from 11 minutes to two minutes

Klarna reported that its AI assistant reduced the average time required to resolve a customer inquiry from 11 minutes to two minutes, an improvement of approximately 82%.

Source: Klarna

This demonstrates AI’s potential to deliver substantial efficiency gains in handling high-volume, repetitive inquiries. But speed should not be viewed in isolation. A fast answer only creates value when it is accurate, helpful, and appropriate to the customer’s situation.

Case study: Klarna's shift back toward human service

Klarna became one of the most well-known examples of AI-powered customer service after reporting significant efficiency gains from its AI assistant. However, the company has since acknowledged that efficiency alone isn’t enough. CEO Sebastian Siemiatkowski has spoken about the importance of bringing more human interaction back into customer service, recognizing that empathy and expertise remain essential for many conversations.

Read more: Why Klarna is bringing humans back into customer service.

Key takeaway: The best customer experiences still combine automation with human expertise.

78% say it is important to be able to switch from AI to a human

Nearly four in five consumers believe they should be able to move from an automated agent to a human representative.

Source: SurveyMonkey

The most effective AI customer journeys include a clear exit. Automation should recognize when it has reached the limits of its knowledge or when the customer needs more support. The transfer should then be seamless, with the human agent receiving the context already collected, so the customer does not have to begin again.

Expert insight: Measure resolution, not just automation

The research shows customers are opposed to AI that prioritizes business efficiency over customer experience. People are often happy to use automation when it provides a quick, accurate answer or removes unnecessary waiting. Frustration rises when the system misunderstands the problem, repeats information, or prevents them from reaching someone who can help.

That means businesses should not evaluate AI only through deflection rates, cost savings, or the number of conversations automated. They should also measure:

• Was the customer’s problem fully resolved the first time?
• Did the customer have to contact the business again?
• Customer satisfaction with AI-handled interactions
• How easily can customers reach a human?
• Did AI improve or increase total customer effort?

The strongest customer experiences use AI to remove friction, not to remove people. When automation handles routine tasks, and humans handle judgment, empathy, and complex conversations, businesses improve both efficiency and customer trust.

Part 5: What do these AI customer service statistics actually mean?

Looking across the research, several themes emerge.

Customers still want choice

Many people appreciate fast, convenient self-service, but they do not want AI to become a barrier between them and meaningful help. An effective customer experience gives people the freedom to use automation when it suits them and a human when it does not.

Trust is becoming a competitive advantage

As AI becomes more common, transparent businesses will stand out. Clearly disclosing AI use, protecting customer data, and making human support accessible can help a company demonstrate that efficiency has not come at the expense of accountability.

Accuracy matters more than speed alone

A rapid answer is only useful when it is correct and resolves the customer’s problem. Businesses should judge AI by the quality of its outcomes, not simply how quickly it responds or how many conversations it handles.

AI adoption is accelerating.

Businesses are investing in AI, particularly to improve productivity and keep pace with competitors. The opportunity is real, but investment alone does not create a better customer experience. The technology needs to solve a genuine problem for both the business and its customers. 

Human service remains a differentiator

Human customer support is key. Empathy, judgment, flexibility, and reassurance become more valuable when a conversation is complicated, emotional, or important. As routine interactions become increasingly automated, genuinely helpful human service will become even more memorable.

Tech performs best alongside people

Across the research, the most credible use case for AI is using technology to help people respond faster, access better information, and spend more of their time on the conversations where human expertise matters most.

What is the future of AI and human customer service?

If one message runs through all 30 statistics, it is this:

Customers do not want businesses to remove people from customer service.

People are often happy to let AI make everyday tasks easier. But when trust, reassurance, empathy, or an important decision is involved, they still value the confidence that comes from speaking with another human being.

The businesses leading customer service over the next decade will not necessarily be those that automate the most. They will be the ones who understand exactly where tech creates value, and exactly where people create something technology cannot replace.

Keep exploring

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