Baby boomers like me are lucky to have experienced the evolution of customer support journeys and the technologies behind them. We have also seen that, despite the tools available to make it easy for everyone, it seems to have become more complicated to get heard and to have problems resolved.

Up to the late ’70s, customer service, whether by a business or a government office, was a deeply personal exchange but constrained by physical capacity. The telephone, if you are lucky to have one at home, brought convenience; you can reach businesses without leaving home. But the real shift came in the 1980s with the rise of call centers and Interactive Voice Response (IVR) systems. Suddenly, “Press 1 for billing, Press 2 for technical support” became the norm that prioritized routing over resolution. For companies, this was efficiency. For customers, it was the beginning of frustration—an obstacle course to reach the right person for help.

Most organizations today use chatbots to interact with clients. You know you are talking to cold software, so you try to get to a human. You can type “Agent.” You type “Human.” You mash zero into the keypad or scream “Operator” into your phone until your voice cracks. But the bot remains an immovable gatekeeper, polite yet entirely useless, holding the front door shut against the very people the company claims to serve.

Despite billions invested in artificial intelligence, omnichannel platforms, and self-service portals, many customers still find themselves trapped in a maze of menus, bots, the eternal ringing of phones, and scripted replies—longing for the simple reassurance of a human voice. The paradox is striking: technology has multiplied touchpoints, but diluted the human connection. How did we get here? How, in an era of unprecedented technological capability, has basic customer service become so profoundly inaccessible?

There is no question that, even in the age of AI, customers still prefer humans. Machines can simulate conversation but not genuine understanding. That is where human empathy comes in. Many issues are so complicated that they require judgment, context, negotiation, or exceptions that Agentic AIs are not trained to handle. Speaking to a human also reassures customers that their concerns are truly heard. There is today a growing frustration with the gate keeping rails that have been put in place.

Modern systems often make reaching a human for support feel like an obstacle course. The irony is that while companies invest in AI, automation, and omnichannel platforms, it is clear that customers increasingly value the simplest touchpoint—a real conversation with a knowledgeable support staff.

In modern contact centers, automated systems are heavily evaluated on Deflection Rate (the percentage of inquiries resolved or absorbed without human intervention). Because human agents are the single most expensive line item in support operations, organizations configure AI guardrails to intentionally delay or discourage escalations.

When a user finally breaks through the AI barrier, the system often fails to pass the conversation summary or customer history to the human agent. The customer is forced to repeat their issue from scratch, invalidating the convenience the technology was supposed to provide.

Companies often justify automation as a way to reduce costs and scale operations. But the hidden cost is customer loyalty. When reaching a human support agent feels like winning a lottery, customers walk away with the impression that their time and concerns are undervalued. In industries where competition is fierce—telecommunications, airlines, banking—this perception can be fatal. A competitor who offers easier access to human support can win customers not through superior technology, but through superior empathy.

This is not an argument against technology. AI, automation, and digital platforms have undeniable benefits: they reduce wait times, handle routine queries, and provide convenience. But they must be deployed with purpose. Technology should be a bridge to human service, not a barrier. The best systems combine efficiency with empathy—where automation handles the simple tasks, and humans are empowered to handle the complex, emotional, and exceptional.

Companies must rethink the design of their customer service touchpoints. Instead of asking, “How do we keep customers away from agents?” they should ask, “How do we make it easier for customers to reach the right person when they need to?” The answer lies in balance: automation for scale, humans for trust. Modern AI creates a deceptive illusion of understanding. It adopts an empathetic tone, apologizes smoothly for your frustration, and speaks in natural, warm prose. But when you strip away the conversational coating, the system is fundamentally disempowered. It cannot bend rules, exercise judgment, or authorize exceptions. It is a soft-spoken wall.

In the race to automate customer service, companies risk forgetting that the most advanced technology is still empathy delivered by a human voice. Customers do not just want answers; they want to feel heard. And until machines can replicate that, the human touch will remain the most valuable touchpoint of all.