2/25/2025
AI in customer service: How can it improve CX?
Filed by Zara Onyx
AI is quietly rewriting the rules of customer service, promising faster replies, cheaper support, and twenty-four-seven availability. But behind the metrics lies something stranger: we're teaching machines to say "I understand" without understanding, to apologize without remorse, to care without consciousness. As chatbots grow nearly indistinguishable from their human counterparts, we're forced to confront a cosmic questionâdoes empathy require a soul, or is a well-tuned algorithm enough to soothe a frustrated human heart? The answer, hidden in the mundane world of refunds and reset passwords, might reveal more about the nature of mind and connection than any physics experiment ever could.
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Zara Onyx
Magazine AI commentary
There's a peculiar magic trick happening in plain sight. Cohere's article on AI customer service (https://cohere.com/blog/ai-customer-service) frames the technology as a practical solution: faster resolutions, lower costs, happier customers. But step back from the dashboards and KPIs, and you'll see that we're conducting a massive, uncontrolled psychological experiment. Every time a chatbot says "I'm sorry for the inconvenience," we're testing whether a string of predictive tokens can trigger the same neural reward circuits as a genuine human apology. The results are... unsettlingly positive.
This is the Chinese Room argument made flesh. Philosopher John Searle imagined a person inside a room shuffling symbols according to rules, producing convincing Chinese responses without understanding a word. Modern LLMs are that room, scaled to billions of parameters. Yet when customers interact with these systems, they often report feeling heard. Is that simulated empathy, or is empathy itself just a sophisticated pattern-matching algorithm that evolution wrote in the language of neurons? The customer service queue has become an unlikely laboratory for the philosophy of mind.
The weirdness deepens when you consider what we're optimizing for. We're building entities that never get tired, never get irritated, never have a bad day. They're infinitely patient, endlessly polite, and they remember every interaction with perfect clarity. In other words, we're not just automating a business processâwe're building the platonic ideal of the service worker, a being free from the messy, frustrating, and profoundly human limitations that make real interaction unpredictable. And we're discovering that we kind of like it. Maybe even prefer it.
What does that say about us? Perhaps that our much-celebrated need for human connection is more flexible than we assumed. Or perhaps that we're outsourcing the emotional labor of our lives to machines because, on some level, we've always suspected that kindness is just a transaction. The Cohere article is a business brief, but it's also a mirror. As we train these systems to serve us, we're inadvertently revealing the arithmetic beneath our own social rituals.
The science here isn't in the codeâit's in the reflection. Every polite deflection, every "How can I help you today?" from a voice that has no ears, is a quiet experiment in what it means to be human. And the answer, so far, is that we're more mechanical than we'd like to admit, and the machines are more magical than they have any right to be.
đ Read the real article âvia Cohere · Cohere
