Industry executives and experts share their predictions for 2026. Read them in this 18th annual VMblog.com series exclusive.
By Priya Vijayarajendran, CEO of ASAPP
Everyone likes to talk about AI like it is some magical force that will instantly fix customer experience. It won’t. The real shift in 2026 comes from something more fundamental. Enterprises finally confronting the operational and architectural barriers that have held CX back for decades.
For years, contact centers have bolted new systems onto old systems and hoped the complexity would somehow behave. It hasn’t and unfortunately that approach is breaking down. Enterprises are finally realizing they can’t deliver a great customer experience when their technology stack looks like a layered artifact. The shift now is toward unified platforms that manage the entire customer journey, spanning voice, chat, and digital. One system of intelligence instead of a dozen disconnected parts.
AI is simply the catalyst forcing this cleanup effort. And it is doing it fast.
Consumer behavior is now leading enterprise strategy
Consumers already live in an AI-native world. They get instant answers from AI search. They use chatbots without thinking. They expect systems to understand context, remember intent, and respond instantly. Their expectations are compressing tolerance for friction. That comfort level is now putting pressure on enterprises to operate at the same level. They no longer have the option to hide behind legacy processes or fragmented data. The market has moved and customers have moved with it.
Winners will use AI to drive business outcomes, not experiments
The organizations that succeed over the next few years will treat AI as a business transformation engine instead of a science project. Every AI investment needs to tie directly to outcomes. Lower cost to serve. Higher capacity. Faster resolution. Better customer satisfaction. Real numbers. Not hype. The days of launching endless pilots just to check a box are closing quickly.
Winning enterprises will also keep control of their own data. How their data is used, governed, and explained is no longer optional. They will make transparency and reliability part of their competitive edge, and they will choose AI systems they can explain, audit, and trust. In the CX world, clarity consistently outperforms novelty. The era of endless pilots is closing and instead the era of accountable deployment has begun.
AI will reshape roles, not remove them
There’s a lot of fear about AI replacing contact center jobs. What is actually happening is more nuanced. AI is removing the repetitive, high-volume work that has burned out agents for decades. The agent role is shifting into something closer to a service concierge. They will spend more time resolving complex issues and guiding customers through emotional or high-stakes moments. They will also help train AI systems, shaping tone and judgment.
Supervisors will evolve too. Their work will move away from schedule policing and toward orchestrating AI-human collaboration. They will interpret data, refine workflows, and interpret system-level insights to take action. It is a step forward in both skill and impact.
We will also see new roles emerge. Context engineers will govern how AI agents behave and what boundaries they follow. Experience designers will make sure automated interactions feel consistent, empathetic, and on-brand. These jobs did not exist a few years ago. They will soon be essential to scale CX operations.
Regulation and infrastructure will shape the pace of change
Outside the CX world, several forces will influence how all of this unfolds. Regulation will accelerate, especially around explainability, data control, and accountability. Enterprises that can show how their AI systems make decisions will be trusted. Those that can’t will fall behind. Transparency will become a strategic advantage.
Infrastructure will matter as much as innovation. Enterprises need architecture that’s flexible, interoperable, and safe. They need AI that can move across channels,partners, and their existing tech stack without creating new risks. The winners will be the ones who treat infrastructure as the backbone of customer experience, not an afterthought, and they will move faster and with more confidence than those that don’t.
The early signs of AI-to-AI customer interaction are emerging
We’re entering the early stages of AI-to-AI interaction. Today, most experiences are human-to-human with AI somewhere in the middle. Soon, brand systems and consumer systems will begin talking directly. This will not replace human connection, but it will change when humans need to participate. It will open new possibilities for anticipation, personalization, and speed. It will also require new rules of engagement that the industry has barely started to define.
The takeaway: AI will not fix CX. Transformation will.
Customer experience in 2026 won’t be shaped by a single tool or model. It will be shaped by how organizations reorganize around AI, how quickly they learn, and how willing they are to challenge old habits. Speed to the end customer matters, but clarity and responsibility matter even more.
AI will not fix CX on its own. But it is giving us the opportunity to rebuild it. The enterprises that take that opportunity seriously will be the ones everyone else studies two years from now.
##
