Do Customers Hate Talking to an AI Receptionist?

Some do, but not for the reason you'd think. Customers don't hate AI on principle. They hate being trapped, ignored, or fobbed off, and bad AI does all three. What they actually want is simple: to be answered quickly, understood, and to feel like their call is going somewhere. A good AI receptionist delivers that. A bad one is just the latest way to fail at it.

This piece looks at what genuinely annoys callers, what they're fine with, why you should tell them it's AI, and how to use AI on your phone without costing yourself trust.

What customers actually hate

"People hate AI" is too lazy. When you look at what sets callers off, it's almost never the fact that it's AI. The single biggest one is measurable: in AssemblyAI's 2026 survey of voice-agent builders, 55% of users named "having to repeat themselves" as their number one frustration. The rest follow the same pattern:

• Not being understood. Repeating your name or number three times because the agent keeps mishearing is infuriating, fast. This is the 55% problem above.
• Being trapped with no way out. An agent that loops on the same question and offers no path to a human is the cardinal sin, the press-1-menu frustration in a new outfit.
• Being fobbed off. "I'll pass that on" that clearly goes nowhere feels worse than voicemail, because it pretended to help.
• Awkward, laggy delivery. A voice that talks over them or leaves dead air signals the business cut corners, and it puts the caller on edge before the conversation starts.

Notice that every one of these is a quality problem, not an AI problem. Fix them and most of the hatred evaporates.

What customers are fine with

Here's the part that surprises owners. Most callers don't mind talking to an AI when it works. If they're answered on the first ring, understood the first time, and their message clearly gets where it needs to go, the experience beats the alternative they were dreading: voicemail, or no answer at all.

AI is also no longer exotic. 32% of New Zealand SMEs now use AI in some form, up from 17% a year earlier (MYOB Business Monitor 2025), and 58% of US small businesses use generative AI (US Chamber of Commerce). People interact with it daily now. The bar isn't "is it human," it's "does it help."

And the honest comparison isn't AI versus a friendly human receptionist. For most small operators, the real alternative is a phone that rings out. Around 80% of callers who hit voicemail don't leave a message at all (CBS News). Measured against silence, a competent AI that answers and captures the lead wins easily.

Should you tell callers it's AI? Yes, and here's why

This comes up a lot, and the instinct to hide it is the wrong one, on two counts.

First, trust. A caller who feels deceived is far more annoyed than one who knew from the start. Pretending to be human is a gamble that only ever pays off until the caller works it out.

Second, and more concrete: New Zealand regulators expect disclosure. The Office of the Privacy Commissioner's guidance on generative AI says agencies should be transparent and tell people, in plain language, how and when AI is being used before collecting their information. MBIE's Responsible AI guidance likewise recommends letting people know when they're dealing with an AI system, such as a chatbot or voice agent. Disclosure isn't a weakness to hide; it's the recommended practice.

The good news is this turns the objection on its head. Being upfront ("Hi, you're through to AppAI's assistant, I can take your details and get someone to call you straight back") is a trust signal, not a confession. You're the business that's honest about it and still answers every call, while a real person follows up fast.

What matters more than the disclosure: the handoff

Be straight with yourself about what the AI does. AppAI doesn't transfer the live call to a person. It captures the caller's name, number, and reason for calling, then texts you a summary within seconds so you can call them straight back. That fast callback is the thing that keeps customers happy: they spoke to something that listened, and a real person rang them back quickly. There's more on that design in why AI phone answering services suck and how to pick one that doesn't.

How to use AI without losing trust

The whole question of "will customers hate it" really reduces to "is the AI any good, and are you honest about it." Get these right and you're fine:

• Answer instantly, every time. Speed is the first impression. Harvard Business Review found responding within an hour makes you about seven times more likely to qualify a lead; an instant answer is the strongest version of that.
• Understand the caller. A voice built for local accents and place names means fewer repeats, directly attacking that number-one 55% frustration.
• Be upfront that it's AI. It builds trust and it's what NZ regulators recommend.
• Never trap anyone. A clean fallback that captures the message and gets it to you fast beats any loop.
• Follow through quickly. The customer's lasting impression is the callback, so make it prompt.

AppAI is built around exactly this: a natural Kiwi voice, instant answering, honest disclosure, a clean capture-and-text handoff, and you ringing back fast with the full context already in hand. The best way to judge how a customer would feel about it is to be the customer: ring the live demo line on 03 565 9950 and have a normal conversation.

If it'd pass with your customers, setup is done for you and usually live in about five business days, it's $350 + GST a month with no lock-in, and you keep your existing number. Founding members (the first 10 Canterbury businesses) get $350/month locked in for life, see the pricing page. And if you're weighing it against a human service or voicemail, this comparison lays it out: AI phone answering vs virtual receptionist vs voicemail.