The State of CX in Asia 2026

Asia isn’t one big homogenous blob of a continent.

It sounds obvious when you say it out loud, but if you’ve ever sat in a regional planning meeting where “the Asia strategy” gets discussed as a single line item – you know how easily that truth gets forgotten.

What great service looks like in Japan is not what great service looks like in Indonesia, and neither of those looks like what customers expect in Singapore or Vietnam. Expectations shift with language, culture, technology and the way people live, buy and communicate.

Multiply that by language, payment culture, social commerce habits, and generational expectations, and you get a region with dozens of different definitions of “good,” all of them held to a genuinely high bar.

That’s the terrain CX leaders here are actually operating in – yet too many brands still approach the region as though one strategy can stretch across all of it.

Live from The Customer Experience Live Show Asia 2026 in Singapore, CCH’s Xander Freeman sat down with Dave Rizzo, CEO of Asia Pacific at TP and other world-class CX leaders to unpack what CX leaders are really dealing with on the ground.

This article is also the first in a new CX series focused on the real challenges, lessons and success stories emerging from our community across Asia. We’ll be going beyond broad regional trends to look at what businesses are experiencing market by market, and what CX leaders can learn from the people doing the work.

Efficiency vs Opportunity: Using AI to Your Advantage

Walk into almost any CX leadership meeting right now and the AI discussion splits into two lanes almost immediately.

While spending on modernising customer service is set to double by 2030, a lot of that budget is quietly defaulting to cost-cutting because “saving money” is an easier story to sell to the CFO. Meanwhile, the actual growth opportunities are being left on the table.

The investment in modernising customer service is projected to roughly double by 2030, and the vast majority of CX leaders say they’re under real pressure to implement – not pilot, not explore, but implement – this year.

Nine in ten contact centre teams are increasing spend on self-service. The momentum is real. What’s far less clear is whether all that spend is quietly defaulting to cost-cutting because that’s the easier story to tell a CFO, while the growth opportunity sits untouched.

Why the “Asian Bar” is Higher From a Customer Perspective

Asian consumers grew up inside super apps where payment, commerce, and service were never separate categories to begin with.

They buy inside livestreams. They expect service in real time, not after the fact, and they’ll switch languages mid-conversation without a second thought. Safety and service aren’t two departments to them – they’re one experience.

Most organisations, meanwhile, still run service, commerce, and social as separate functions internally, each localised on language but not necessarily on the cultural logic underneath.

That mismatch is, as Dave put it, a design problem rather than anyone’s individual failure. But it explains a lot of the gap CX teams feel between what’s expected of them and what their current operating model can realistically deliver.

Closing it usually means pushing for alignment across teams and stakeholders who don’t naturally talk to each other – never the easy part of the job.

What AI Can Actually Do (If You Let It)

If you move past the basic chatbots, AI unlocks three massive shifts:

• Reactive to predictive: Instead of waiting for a customer to complain, AI helps you fix the issue before they even notice it. Making the call before they have to call you is the ultimate loyalty driver.
• No more administrative drag: Agents waste a ton of time pulling up history and checking policies. If AI handles that instantly, agents can focus entirely on resolution quality rather than racing against the clock.
• VIP treatment for everyone: Deep personalisation used to be reserved for high-net-worth private banking clients because it was too expensive to scale. AI changes the math, giving every agent the full history, preferences, and emotional context of a customer instantly.

One small note, however: Getting the “personal” part of AI wrong is a massive risk. Dave shared a demo of an AI assistant that went hilariously off the rails – misreading the customer, making awkward assumptions, and signing them up for random services. Funny in a test lab – but a nightmare in production.

The Revenue Argument Your CFO Needs to Hear

Here is a stat that should turn some heads in finance: selling to an existing customer converts at 3 to 14 times the rate of acquiring a new one.

Yet, the average company spends roughly 25 times more on acquisition than retention. Your service team is talking to your most likely buyers every single day, but most of those conversations end the moment a ticket is marked “resolved.”

With 80% of customers stating the experience matters as much as the product, and McKinsey linking great personalisation to a 40% revenue lift, it’s time to give CX leaders a revenue target, and the seat at the table that comes with it.

What It Means for Your Team

It’s completely normal for frontline teams to feel anxious about AI. But the reality is that AI isn’t making humans irrelevant; it’s raising the stakes for human skills.

The job is no longer about reading scripts or looking up data – it’s about empathy, judgment, and complex problem-solving.

As teams restructure, we are seeing four new distinct roles emerge:

1. The Care Architect: The mastermind who designs the customer journey and decides exactly when AI should hand off to a human.
2. The Experience Analyst: The data detective who turns AI insights into actual operational improvements.
3. The Relationship Manager: The specialist who handles the high-stakes, emotionally charged situations that should never be automated.
4. The AI Coach: The frontline expert who trains and refines the AI systems based on real-world interactions.

Final Thoughts

Every single one of your competitors is going to buy AI tools this year. The technology itself is no longer a differentiator; it’s table stakes.

The real dividing line in Asian CX won’t be about who automated their contact centre the fastest or who shaved the most seconds off their average handle time. The winners will be the leaders who realize that efficiency is just the baseline—not the endgame.

If your AI strategy is entirely focused on playing defense (cutting costs, shrinking headcounts, reducing human contact), you are running a race to the bottom.

In a region where consumer expectations are hyper-digital and fiercely disloyal to bad design, a sterile, hyper-automated experience will simply drive customers straight to a competitor who actually feels personal.

The brands that dominate the next decade will be the ones using AI to play offense. They will look at the cultural nuances of their markets, unleash their frontline teams from administrative junk, and ask the only question that truly matters:

“What radically better experience can we build for our customers today that was logistically impossible yesterday?”

Cost-cutting might save your budget this quarter – but changing the game is what saves your business.

Author: Stephanie Lennox
Reviewed by: Jo Robinson