Predictions for Customer Experience in 2026: What’s Actually Going to Change

Customer experience predictions for 2026 are everywhere right now. Most of them say the same things: AI will be important, personalization will matter, customers will expect more. None of that is a prediction — it’s weather.

Here are takes I’ll actually stand behind. Specific enough to be wrong. Directional enough to be useful.

Prediction 1: AI Deflection Rates Will Hit a Plateau

The easy AI gains in customer support have been taken. Order status, password resets, account lookups — that’s largely automated. The next tranche of deflection requires AI to handle genuinely complex, context-dependent issues. And there, the technology still struggles.

I expect 2026 to be the year the “AI handles X% of tickets” number stops climbing for most companies. The plateau will force a more honest conversation: not “how much volume can we deflect” but “what quality of resolution are we delivering.” Watch for CSAT as the leading indicator.

Prediction 2: Visual Support Goes Mainstream

We’ve been saying this at Viewabo for a while, and the AI infrastructure is now ready to accelerate it. For any product involving physical setup, configuration, or troubleshooting — consumer electronics, IoT devices, field service equipment, medical devices — visual support is going to become the expected norm, not the premium exception.

The tools are there. The customer willingness is there. The hold-out is organizational — companies that built their support motion around phone and chat need to retrain and retool. That retooling happens in 2026 as competitive pressure intensifies.

Prediction 3: The Phone Channel Finally Shrinks Meaningfully

This has been predicted for a decade and keeps not happening. But I think 2026 is different. Gen Z and younger Millennials are now a dominant consumer cohort — and they genuinely despise phone calls. They’ll abandon transactions rather than call.

Add in the maturation of async support tools, and you have the conditions for a real structural shift. I’m predicting 15-20% year-over-year decline in phone volume for consumer-facing support in tech-adjacent categories. Not the death of the phone — but the beginning of a real downward trend.

Prediction 4: Support Will Be the Proving Ground for AI ROI

Every company has AI projects. Most of them are in early stages with unclear ROI. Customer support is the one domain where AI ROI is actually measurable — ticket deflection rates, handle time reduction, cost per contact, agent productivity. I expect pressure to justify AI investment to push resources toward support applications where the numbers are legible.

This is good for support teams. It means more investment, better tools, and more organizational attention. Boards understand “AI reduced our support cost by $2M” in a way they can’t understand “AI improved our product development process.” Support AI is going to get funded.

Prediction 5: The After-Sales Experience Gap Becomes a Differentiator

Pre-sale experience is table stakes now. Everyone has invested there. The differentiation opportunity that remains largely unexploited is after-sales customer experience. What happens after the purchase? How do you handle returns, troubleshooting, upgrades, renewals?

Companies that build genuine excellence in after-sales experience in 2026 will build loyalty that’s extremely hard for competitors to replicate. It’s not about having the best onboarding. It’s about being the company that actually shows up when something goes wrong.

What This Means for 2026 Planning

If these predictions track — and I think they will — the strategic implications are clear. Invest in resolution quality over deflection volume. Build visual support capabilities before your competitors do. Design your support motion for async-first rather than phone-first. Measure your AI support investment with rigor. Treat after-sales experience as a genuine competitive differentiator, not a cost center to minimize.

2026 is going to separate companies that treat customer experience as infrastructure from companies that treat it as overhead. The infrastructure companies will win.

Happy New Year. Let’s build something worth supporting.