Contact center leaders are making billion-dollar AI investments without ever touching the tools they’re buying. That blindspot is now a competitive liability, and both customers and CX agents are starting to notice.
Are CX executives equipped to lead their organizations through the AI transition? A growing body of evidence suggests the answer is no - and not for lack of resources or ambition, but because of a structural problem embedded in how senior leadership operates.
The people making the most consequential AI decisions in customer experience who decide which platforms to deploy, which workflows to automate, and which agent roles to restructure are also, by design, the least likely to have direct, hands-on experience with the tools driving those decisions.
That gap is widening fast, and for contact center and CX technology leaders, the operational consequences are becoming impossible to ignore.
As Brian Solis, Head of Global Innovation at ServiceNow, put it:
"The question is not whether AI will transform customer service - it will. The question is whether the people responsible for that transformation actually understand what they're deploying."
Why Are So Many CX Leaders Out of Touch?
Anton Korinek, an economist at the University of Virginia and advisor to Anthropic's Economic Advisory Council, identified the structural problem plainly in a recent episode of The New York Times' Hard Fork podcast: most senior executives are too insulated by their own organizations to develop an accurate intuition for how quickly AI capability is advancing.
In CX environments, that insulation takes a specific form. By the time an AI briefing reaches a Chief Customer Officer or VP of Operations, it has been filtered through vendor account teams, sanitized by procurement processes, and translated by middle management into slide decks that strip out the operational nuances their frontline employees face.
The unfiltered realities of working with frontier AI tools rarely survive that journey intact…
Korinek's prescription is simple: Executives need unmediated, hands-on experience with frontier AI tools.
It’s a simple principle that seems far too easily forgotten in corporate environments. After all, you wouldn’t buy a car without taking a test drive first?
How Is AI Changing Contact Center Operations?
As anyone who’s attended a technology conference in the past two years will tell you, AI is at the tip of every executive’s tongue. Frontline adoption has been rapid, and some of the results are genuinely impressive. Task-length automation benchmarks - a key measure of how long AI systems can independently sustain complex, multi-step work - are doubling approximately every seven months at the frontier. Recent research also found that contact centers deploying agent-assist AI saw a 27% reduction in average handle time.
CX automation decisions carry significant downstream consequences. Workforce sizing, outsourcing commitments, channel investment, and customer satisfaction metrics all determine how well leadership understands what the technology can and cannot do at any given moment.
A recent NBER survey of approximately 6,000 executives found that while 70% reported using AI, 80% detected no measurable productivity impact.
In a CX context, that result warrants scrutiny. It may reflect genuine early-stage diffusion. It may equally reflect a leadership layer that cannot recognize transformation already occurring inside their own contact center operations, because they have never personally used the tools generating it.
Are CX Vendors Deepening the Blindspot?
There is a structural tension that few in the industry discuss openly. The vendors best positioned to educate CX buyers about AI's actual capabilities are also those least incentivized to manage those expectations.
Overstating automation capability risks failed deployments and churn. Understating it risks losing deals to more aggressive competitors. The result is a vendor communications environment that systematically obscures the information CX leaders most need.
Sheila McGee-Smith, Founder and Principal Analyst at McGee-Smith Analytics, outlined the issue:
"There's a massive gap between what AI vendors demo and what enterprises actually get live in production. That gap is where most CX transformations stall."
Gartner has projected that AI will handle 80% of customer interactions without a human agent by 2029. Whether that figure proves accurate or not, the strategic question it raises is one that every CX executive should be able to engage with directly - not relay from a vendor briefing. Most currently cannot.
The right questions to ask in any platform conversation are not "what can your AI do?" but "what are your highest-performing customers actually doing with it today, how long did it take, and what did their agent workflows look like before and after?"