Enterprise Connect 2026 landed in Las Vegas with a clear identity shift.
This is now a CX show.
The expo floor, the keynotes, and the hallway conversations all reflected a market that has moved decisively: customer experience is no longer a feature of the enterprise communications conversation — it is the conversation. And at the center of it all sits a question that CX leaders can no longer deflect.
Is AI actually improving the customer experience — or are we spending our way into a more complicated version of the same problems?
We gathered the sharpest voices at EC 2026 to find out what's really happening — beyond the booth demos and keynote soundbites.
Watch Enterprise Connections 2026 Reflections
The Scene Setter: Outcomes Are the Only Currency That Matters Now
Justin Robbins, Founder & Principal Analyst, Metric Sherpa
As Enterprise Connect's first-ever emcee, Justin Robbins had a front-row seat to the entire event. His read on the defining theme of EC 2026 cuts to the heart of where CX sits in 2026.
"Everyone is talking about outcomes — but the evidence still isn't there yet."
CX leaders are under pressure to prove AI's impact on customer satisfaction, resolution times, agent performance, and revenue. The language of outcomes is everywhere. But the data to back it up remains inconsistent. Justin expects 2026 to be the year that gap starts to close — meaningfully.
The Reality Check: Who Controls the Data Controls the Experience
Moshe Beauford, Principal & Strategic Advisor, CommsAnalysis
For CX leaders, data isn't just an IT concern — it's the foundation of every AI-powered customer interaction. And according to Moshe Beauford, enterprise organisations are waking up to just how much control they've surrendered.
"We've come full circle — enterprises want control of their data again."
AI-powered CX depends on clean, governed, accessible data. As organisations reassert data sovereignty, CX teams need a seat at that governance table — not just a downstream dependency on what IT decides.
"AI pricing is confusing buyers and vendors alike — and nobody's really solved it yet."
For contact centre and CX budget holders, unclear AI pricing creates real planning risk. Moshe's advice: push vendors for transparency now, before consumption-based models lock you into costs you didn't anticipate.
The Central Tension: Every CX Leader Feels This
Zeus Kerravala, Founder & Principal Analyst, ZK Research
Zeus Kerravala captured the tension running through CX strategy conversations at EC 2026 with unusual clarity.
"The C-suite is being pulled equally by FOMO and fear — and both are powerful."
Deploy AI too slowly and competitors gain ground. Deploy too quickly and you risk customer trust, compliance failures, and agent disruption. CX leaders are navigating that tightrope every day — and EC 2026 made clear there's no easy answer.
"Vendors are under pressure to prove business value, not just talk about AI."
CX buyers have heard enough about AI potential. They want proof — in terms of CSAT, handle time, resolution rates, and revenue impact. Vendors who can't deliver that conversation are losing credibility fast.
AI and ROI: The Questions CX Leaders Are Asking
The Hard Truth
Kevin Kieller, Co-Founder & Lead Analyst, enableUC
EC 2026 was positioned as the year AI ROI became real. The reality on the ground is more measured.
"There's still a lot of experimentation — but not a lot of proven ROI."
For CX leaders under pressure to justify AI investment to CFOs, the most honest advice right now is to focus on what's actually working.
"The AI use cases that are paying off are still the boring ones."
Post-call summaries, agent assist tools, basic automation of repetitive queries — these are delivering measurable value. Agentic AI at contact centre scale remains a compelling future state, not a 2026 reality.
The Skeptic's View
Fazil Balkaya, Founder & Principal Analyst, Balkaya Consulting
CX buyers evaluating AI vendors should be particularly cautious about claims of rapid deployment and instant results.
"AI agents don't work without context — and context takes real effort."
Building effective AI agents for customer interactions requires deep contextual training, clean data, and ongoing refinement. Vendors promising otherwise are setting customers up for a difficult conversation three months post-deployment.
"AI's real power is its ability to analyze everything — not replace people."
The ability to analyze every customer interaction at scale — identifying patterns, predicting needs, flagging failures — is where AI delivers transformative value for CX. That story deserves more attention than workforce replacement headlines.
Practical Advice for CX Leaders Deploying AI Now
Luke Jamieson, CX Evangelist, Operata