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© 2026 Benzinga | All Rights Reserved
Helen Dewdney
March 3, 2026 12:59 PM 9 min read

Are AI Chatbots Costing Companies Repeat Revenue? Customer Service Signals That Investors Should Watch

by Tabish Ali Benzinga Contributor
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The push to automate customer service is no longer theoretical, and investors are starting to ask whether AI chatbots are costing companies repeat revenue. A Gartner survey on AI in customer service found that 53% of customers would consider switching to a competitor if they discovered a company planned to use AI for customer service.

A Pega and YouGov survey from February 2026 added another warning sign. It found that 64% of UK and North American adults lacked confidence in how businesses use GenAI in customer interactions, 46% said they rarely or never get successful outcomes through AI-powered service, and 77% said they get better results when dealing with a human.

For investors, that shifts customer service from a back-office cost lever into a revenue-quality issue. PwC's 2025 Customer Experience Survey found that 29% of consumers stopped buying from a brand because of poor customer experience.

Capgemini's 2025 customer service research found that 60% of consumers are willing to pay for premium customer service, 55% say good service drives repeat purchases, and 65% say it increases brand recommendation.

If automation creates friction rather than resolution, the damage may not show up in costs first. It may appear in churn, weaker repeat buying and softer pricing power.

Why Customer Service Is Becoming a Revenue-Quality Issue

For years, customer service sat in the soft-metrics bucket. Investors focused on sales growth, margins, and guidance. That looks outdated. When service breaks down, the damage does not stay in the contact centre. It can hit repeat purchases, recommendation rates, and pricing power.

PwC's 2025 Customer Experience Survey found that 52% of consumers had stopped using or buying from a brand because of a bad experience with its products or services, while 29% had stopped because of poor customer experience itself.

That is where the chatbot debate becomes more than a technology story. A bot that trims handling costs but quietly weakens retention is not an efficiency win. It is a revenue-quality problem.

Dewdney makes the same point from the customer side. In her view, businesses often make life easier for themselves, not for the customer. That matters because service quality now has a clearer commercial value.

Capgemini's 2025 customer service research shows that good service supports repeat purchases, recommendation and higher spend. In a tighter market, those are investor signals, not just customer service talking points.

The Warning Signs Investors Should Track Before Earnings

The easiest mistake is to treat customer service as anecdotal. A few bad reviews or posts about bots do not look material on their own. The problem starts when those issues build and begin to hit trust, retention and repeat buying.

That is why customer service metrics investors should watch belong much closer to the centre of the checklist, especially for consumer brands, subscription businesses and any company built on loyalty rather than one-off transactions. PwC's 2025 Customer Experience Survey already shows how quickly poor service can turn into lost customers.

Dewdney puts it bluntly: "They don’t like chatbots. You like chatbots but actually your consumers don’t. It’s making life easier for you but not necessarily for consumers." If management talks up automation as a productivity win while customers experience it as friction, investors may be looking at a hidden revenue problem rather than a clean efficiency gain.

Three warning signs stand out:

1. Repeat Purchase Behaviour

A company can still post decent top-line growth while repeat buying weakens underneath. Dewdney's warning is simple: if businesses make it harder to complain, "they’re not going to return, and you won’t know that." Lost customers do not always explain why they left.

2. Complaint Resolution

This is not just about complaint volume. It is about whether issues are actually owned and solved. Dewdney says customers are often left with "their complaint and then they’ve got their complaint about the complaint process."

That suggests the service model is making dissatisfaction worse instead of containing it. Qualtrics contact centre research supports that link between poor resolution and lower spending.

3. Escalation Quality

Dewdney points to the damage caused when businesses "pass you from pillar to post." Investors will not see that phrase in a filing, but they may see it in sentiment trends, review patterns, or management commentary around retention and service redesign.

If a company keeps tightening complaint routes, removing email addresses, or pushing people into weak bot systems, that may not be streamlining. It may mean service accessibility is getting worse.

Why These Signals Matter More Than They Seem

Bad customer service rarely lands as one dramatic event. It leaks. A little more churn here. A weaker repeat rate there. Over time, that can become an earnings issue before it becomes a headline issue.

Why Cost-Cutting Through Automation Can Backfire

The bull case for AI chatbots is easy to understand. Lower staffing pressure. Faster handling. Twenty-four-hour availability. Cleaner unit economics, at least on paper. The key question is no longer just whether AI lowers service costs, but whether AI chatbots are costing companies repeat revenue when they fail to resolve problems properly.

That is where the risk sits. The Gartner survey on AI in customer service found that 53% of customers would consider switching if they knew a company planned to use AI in service interactions. The Pega and YouGov survey found that 77% say they get better outcomes when dealing only with a human.

Dewdney gives that data a practical edge. Consumers, she says, "want to speak to a human more often than not," and "quite often when they ask the questions, they’re not getting the answers that they want and then they’re eventually having to go to speak to somebody." That is the core problem. A chatbot that fails first and hands off later does not remove friction. It adds another layer of it.

She also points to a mistake companies make when they judge service channels through an internal lens. Her question is the right one: "yeah but for whom?" Investors should pay attention when management talks about customer service transformation mainly in terms of labour efficiency, rather than resolution quality, retention, or loyalty.

Her clearest line may also be the most useful: "Companies really need to make sure that they’ve got routes for people to complain because it’s not about making life easier for you, it’s about making life easier for the customer."

That becomes especially relevant when businesses remove email addresses, limit written complaint routes or rely too heavily on chat and WhatsApp flows. Dewdney's point is that easier complaints can actually make complaint handling more efficient because the business gets the right information faster and has a better chance of keeping the customer.

That lines up with the broader economics. Capgemini's 2025 customer service research found that 60% of consumers are willing to pay for premium customer service. If stronger service supports loyalty and pricing power, poor automation is not just a customer service issue. It can become a margin and growth issue too.

Dewdney also makes a point executives may not enjoy, but investors should notice. Complaints are "free consultancy." Businesses often treat complaints as noise to reduce. In reality, they can be an early signal that the customer journey is breaking down. If management teams ignore that feedback, or design systems to suppress it, they may be cutting themselves off from one of the clearest warning signs of future churn.

What Strong Customer Service Can Signal About Pricing Power and Long-Term Value

Customer service is often treated as defensive. Something that protects the brand when things go wrong. For investors, that misses the upside. Good service can support pricing power, improve retention, and strengthen revenue quality over time.

Capgemini's 2025 customer service research found that 60% of consumers are willing to pay for premium customer service, while 55% become repeat customers after good service and 65% go on to recommend the brand.

PwC's 2025 Customer Experience Survey found that 43% of consumers would pay more for greater convenience and 42% would pay more for a friendly, welcoming experience. Better service can support pricing. Worse service can erode it.

Dewdney makes the same point from the ground. Businesses, she says, "see their returning customers and they think okay we’ve got 20% of customers returning but they’re not necessarily seeing why 80% aren’t". That is the blind spot investors should care about. It is easy to measure current sales. It is harder, and often more valuable, to understand the quality of the relationship underneath them.

She is equally clear on what happens when complaints are handled well: "If you deal with a complaint well and effectively then those customers are going to go back because they’re going to think well even if there is a problem that company dealt with my complaint really well." Complaint handling is not just service recovery. It can be retention strategy.

There is also a reputation angle. Dewdney notes that customers who are treated well "will do that heavy lifting of marketing for you." In practice, that means reviews, recommendations and public defence when something goes wrong. In a market where acquisition costs remain high and trust is harder to win, that kind of advocacy has real value, even if it does not show up as a line item in a quarterly report.

The broader takeaway is simple. Strong customer service can signal something larger than operational competence. It can point to disciplined management, healthier retention economics and a business with more room to hold margin without testing loyalty too hard.

That is why the question of whether AI chatbots are costing companies repeat revenue matters beyond customer service itself. For investors, that makes customer experience more than a support function. It becomes another way to judge whether growth is durable, or more fragile than the headline numbers suggest.

Disclosure: Champions Speakers Agency represents Helen Dewdney only for speaking engagements. This article is for informational purposes only and does not constitute investment advice.

Feature Image Credit: Author

Benzinga Disclaimer: This article is from an unpaid external contributor. It does not represent Benzinga’s reporting and has not been edited for content or accuracy.

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That is the lens for this feature. Helen Dewdney, founder of The Complaining Cow and represented by Champions Speakers Agency, has built her work around the gap between what companies think is efficient and what customers actually experience. Using Helen Dewdney's insights as the pillar, this piece looks at whether AI chatbots are costing companies repeat revenue by increasing friction, weakening loyalty and pushing customers towards competitors.

The downside is not limited to one lost transaction. Qualtrics contact centre research found that 53% of bad experiences result in customers cutting spend. When wait times are satisfactory, customers are 2.6 times more likely to purchase more and three times more likely to recommend the brand. First-call resolution also makes them 2.1 times more likely to recommend.

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