CX Leadership Predictions for 2026

It’s January 2026, and for CX leaders, artificial intelligence (AI) is no longer a forward-looking strategy or a pilot tucked away in innovation teams. It’s embedded in day-to-day operations, shaping how customers are served, how agents are supported, and how decisions are made at scale. The conversation has shifted from whether AI belongs in CX to how leadership choices determine whether it strengthens trust or quietly erodes it. 

Across industries, executives are feeling the weight of that shift. The pressure to automate faster and show returns is colliding with rising customer intolerance for poorly designed, impersonal experiences. Sloppy AI interactions are no longer just frustrating; they are reputational risks. At the same time, organizations that have invested in strong data foundations, disciplined decision-making, and intentional human handoffs are beginning to see different outcomes—one in which efficiency and empathy are not competing forces but complementary ones. 

The perspectives that follow come from Execs In The Know Advisory Board members who are actively leading CX organizations through this moment. Their predictions reflect what they are already seeing unfold across frontline operations, data strategies, and customer expectations. Together, they offer a grounded view of what is defining CX in 2026, and what it will take to lead with clarity, credibility, and care in the year ahead.

What CX Leaders See Coming in 2026


“I’m no expert in the prediction markets, but if I had to make one call for 2026, it’s this: customers will finally revolt against poorly implemented chatbots and sloppy GenAI interactions. What was once just frustrating will multiply in droves—more bots, more botched experiences, and a bigger backlash. While executives collect bonuses for checking the AI box, customers will get burned by conversations that go nowhere, and companies that prioritize deployment over experience will pay the price in widespread defections.”


Lisa Oswald
Senior Vice President, Customer Service
Travelzoo 

 

“We stand at the intersection of artificial intelligence and authentic human connections. And many brands are facing a defining question: Technology is moving so fast that AI will soon be able to handle almost any customer interaction, but should it? 

At Michael Kors, we’ve already embraced agent-facing AI, empowering our Style Consultants with real-time intelligence, product knowledge, and customer insights to deliver exceptional service. But in 2026, we’re taking the next step in our AI journey: deploying customer-facing agentic AI that will handle routine interactions such as FAQs, order tracking, returns, price adjustments, and general inquiries: all the low and medium-complexity calls that can be handled in the brand voice and don’t require human nuance. 

Yet as we prepare for this transformation, we’re focused on achieving something more subtle: knowing when technology should step aside for the elevated and empathetic human touch. This Agentic Authenticity is the ability to blend AI efficiency with emotional human intelligence. It’s ensuring the technology recognizes those moments during an interaction when a customer needs more than a solution. They need empathy and understanding. 

Here’s a possible scenario: A customer will call about a handbag from our latest Collection line, one she’s been eyeing as a graduation gift for her daughter. Our agentic AI will handle the basics flawlessly: availability, shipping options, and care instructions. But then it will detect something in the customer’s voice: hesitation or uncertainty.  

The AI will recognize this reluctance and know when to transfer the customer to a Style Consultant who can help them overcome any concerns about the product. It may say something like: “This sounds like a really special gift. Let me connect you to one of our Style Consultants who knows our Collection line and can answer any questions you may have.” But the handoff won’t be blind. Our Style Consultant will receive real-time context – purchase history, style preferences, and the occasion. When they answer the call, they’ll already know this is about celebrating a milestone.  

Here’s what we’re learning as we build this future: The more sophisticated our AI becomes, the more valuable the human connection becomes. 

Looking ahead, CX won’t be measured by how much AI can do. It’ll be measured by how wisely we choose when it shouldn’t. By how seamlessly we blend efficiency with empathy and how we use technology to deliver more humanity, not less.”

Ebrahim Hyder
Vice President, Customer Experience
Michael Kors

 

“I believe the proliferation and implementation of Agentic AI tools will be the ‘Big Story’ in CX in 2026. For many, 2025 was spent exploring and planning Agentic AI solutions, with some limited deployments, but I believe 2026 is where we see these tools become embedded throughout. This will be impactful in all aspects of our daily work lives: back-end reporting & analytics, agent support systems, customer-facing interactions, etc.”

Paul Brandt
Chief Operations Officer
GoodLeap

 

“The single most important priority for CX in 2026 will be turning data into decisive, AI-powered action that measurably improves sales and service outcomes. Everything else, channels, journeys, and tech stacks, will be secondary to whether organizations can rapidly unlock and operationalize their data to fuel meaningful transformation. 

What Leaders Are Still Trying to Do
Every CX leader is chasing the same North Star: better business results through lower friction and higher loyalty. Teams want to eliminate effort, anticipate needs, and deliver proactive, personalized experiences that feel effortless to customers while still driving revenue, retention, and wallet share. The ambition is clear and consistent across industries; what varies wildly is the ability to execute. 

The Persistent Execution Gap
Despite major investments in platforms, data lakes, and journey orchestration, many organizations still struggle to connect insights to action in a repeatable, scalable way. Dashboards are full, but playbooks are empty. Teams know what is happening in the experience, but they lack a reliable, closed-loop mechanism to decide what to do next, who should do it, and how to measure impact in terms the C-suite cares about. This is the core CX execution gap that will define winners and losers in 2026.  

AI Pressure Without a Data Strategy
That execution gap is now colliding with intense pressure from the C-suite to “use AI” to transform customer experience. The risk is that organizations rush to deploy AI assistants, copilots, and automation without first building the data foundation and operating model those tools require. Without the right data strategy, AI is an empty shell: impressive demos, thin real-world impact. Leaders who treat AI as a strategy instead of a capability within a strategy will end up with sophisticated tools and no fuel to power them. 

Data as the CX Holy Grail
In 2026, the real differentiator will not be who has the most AI, but who can unlock, connect, and activate data the fastest to achieve clearly defined business outcomes. That means:  

  • Unifying the right data across channels and systems around the customer and the journey, not the org chart.

  • Defining explicit links between signals (behaviors, intents, friction points) and actions (offers, interventions, routing, outreach) that can be automated or guided in real time.

  • Building feedback loops so every interaction makes the next one smarter for associates, for customers, and for the models themselves.   

Leaders who get this right will use data to orchestrate experiences that feel tailored, timely, and effortless, not just personalized in name only. 

Building the Foundation to Win with AI
Those that move fastest to build a strong data and decisioning foundation will extract outsized value from AI, whether through internal tools or external vendors. Their AI will be grounded in rich, trustworthy signals and embedded into workflows that actually change frontline behavior and customer outcomes. Those who skip this foundational work will build AI tools with no fuel: impressive user interfaces and clever capabilities that never scale beyond pilots because they lack the data, governance, and action frameworks to matter.  

The True Lever: Actionable Transformation
The organizations that win in 2026 will treat CX not as a reporting function but as a transformation engine. They will measure success by how effectively they translate insight into action at speed and scale actions that reduce friction, drive conversion, grow lifetime value, and deepen loyalty. The technology, including AI, will be an accelerator. The real advantage will come from a clear transformation strategy, a disciplined approach to data, and an operating model that makes it easy for teams to act on what they know. In other words, the future of CX belongs to those who build AI-ready foundations and then relentlessly focus on turning customer insight into customer impact.” 

Alvin Stokes
Vice President, Global Reservation and Service Operations, Guest Services
Princess Cruises


What This Means for CX Leaders
 

Taken together, these predictions point to a defining truth for 2026: the future of CX will not belong to the organizations with the most advanced AI, but to those with the clearest judgment. Leaders who win will be the ones who know when to automate and when to escalate, when to trust the model and when to trust the human, and how to turn insight into action without losing empathy along the way. 

AI will be an accelerator, but leadership intent will remain the differentiator. In a year where customers are less patient and expectations are less forgiving, CX excellence will be measured not by what technology can do but by what leaders choose to protect, elevate, and act on.