AI success in 2026 hinges on data, not flashy features: CX Today

LANCASHIRE, ENGLAND — As businesses look to harness artificial intelligence (AI) for customer experience (CX), experts predict 2026 will mark a turning point: organizations will need to stop chasing flashy AI features and start fixing the underlying data and infrastructure that drive real results, according to a report from CX Today.

Why customer data readiness beats AI features in 2026

The success of AI in CX hinges on high-quality, connected, and governed data. 

“If I look into my crystal ball for 2026, it would be hard to say that I’m not seeing those two dreaded letters pop up, you know, A and I,” said Liz Miller, VP and Principal Analyst at Constellation Research. 

She warns that organizations face a “data drought” because many have not prepared their systems for AI’s voracious appetite.

Derek Slager, CTO and co-founder at Amperity, emphasizes the evolution of customer data platforms (CDPs) as a critical step. 

“My biggest prediction for 2026 is that CDP category is going to evolve from building systems of record to systems of intelligence,” Slager said. 

He explained that successful CDPs will go beyond storing data to actively generating insights, driving decisions, and creating a closed-loop system for continuous CX improvement.

AI governance, organizational culture shape CX success

“My primary prediction for the year 2026 is that data readiness and company organizational culture will be the biggest determinants of AI success in customer experience, particularly in mid-sized and large organizations,” said Prashanth Krishnaswami, Head of CX Strategy at Zoho.

He adds that fragmented technology stacks and cultural resistance can hinder AI adoption, regardless of the tools available.

Meanwhile, AI governance is moving from optional to essential.

“My predictions for customer experience in 2026 will be that AI governance will become a customer experience compliance layer,” said Tim Banting, Head of Research at TechTelligence.

Simon Harrison, Analyst at Actionary, warns that without a central “master orchestrator” for AI agents, organizations risk chaotic systems that may feel intelligent on paper but confuse customers in practice.

How outsourcing providers capitalize on CX infrastructure gaps

For the outsourcing industry, these trends suggest a growing demand for partners who can support foundational CX work, not just AI deployment. Firms capable of addressing data readiness, governance frameworks, and AI orchestration will become strategic allies. 

As organizations invest in cleaning data and building integrated systems, outsourcing providers offering specialized expertise in these areas could see increased opportunities to lead AI-driven transformations for their clients. 

The real competitive advantage in 2026 will go to those who do the unglamorous work of building a solid CX infrastructure before layering AI on top.