AI

What 2025 really taught us about AI, CX and what 2026 holds for the future

In 2025, AI's biggest hurdle wasn't technological, it was organizational capacity and readiness.

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March 3, 2026 by Mike Gadsby — Chief Innovation Officer, O3 World

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In 2025, AI delivered meaningful wins in CX, but mostly in structured, high-volume workflows like customer support intake, content drafting, and routing.

AI agents are real and proved they can augment teams, but only when organizations deeply understand their existing processes, and more specifically where the friction points exist in those processes.

Evidence from McKinsey and Salesforce shows that structured support workflows saw the strongest ROI, validating that AI's early success came from clarity, not complexity.

In 2025, AI's biggest hurdle wasn't technological, it was organizational capacity and readiness.

Many companies reduced staff before automation value materialized, leaving teams overwhelmed and slowing rollout. This will continue to be an issue in 2026. The main barriers to adoption are resource constraints, unclear processes, and limited internal expertise, not model performance or AI's capabilities. In essence: teams are fixing the bike while riding it with less people to peddle.

Where AI exceeded expectations was in three emerging areas that gained real momentum across CX teams:

• Content acceleration — using AI to create, adapt, and repurpose content at a velocity has been and continues to be its biggest strength among marketers. This is also the biggest area of opportunity for mass automation.
• Faster experimentation cycles — enabling teams to generate, test, and optimize variations of campaigns, messages, and customer journeys much faster has transformed research cycles.
• Insight-to-action automation — early signs of closed-loop systems that not only surface insights but automatically trigger recommended actions, from lead routing to next-best-offer generation will continue to improve.

These capabilities point toward a fundamental shift in 2026: the emergence of 'AI Mode' as the new baseline for CX. We're moving from 'search and scroll' to 'ask and act'.

Customers won't just expect answers, they'll expect actions. AI Mode as a concept represents a universal expectation that any digital experience should behave like a capable assistant, reducing friction across every touch point and opening the door to AI-driven task completion, decision support, and fully intelligent customer journeys.

A clear early example of AI Mode taking shape is the ability to purchase products directly within conversational interfaces like ChatGPT. Instead of searching, browsing, comparing tabs, and checking out across multiple pages, customers can now ask for a product, receive recommendations, and complete a purchase in one continuous interaction.

This collapses the traditional retail funnel into a single "ask-to-act" moment. In a recent study, Adobe Analytics reported that traffic to U.S. retail sites coming from generative AI tools surged by more than 4,700% year over year in 2025, signaling a rapid shift in how consumers use AI not just for research, but as a gateway to transaction.

While still early, experiences like this set a powerful precedent. Customers are quickly learning that less friction isn't just preferable, it's possible. This shift raises the bar for every industry, not just retail, and makes disciplined execution more important than ever.

In 2026, AI Mode will emerge as the operational standard, but only for organizations that start with simple, achievable automations and expand when teams are ready.

Organizations that invest in workflow clarity, stack governance, and internal literacy — or partner smartly to accelerate those capabilities — will be best positioned to capitalize on the value of AI. Trying to replace whole workflows in one shot will go nowhere.

The companies who figure out how to plan, execute and build upon smaller initiatives as a part of a bigger overall process will eventually be the biggest winners. Breaking down workflows, identifying the friction points that are ripe for AI improvements, and building battle plans that allow organizations to continuously evolve over time will be critical for AI and CX growth

2026 will reward CX leaders who treat AI not as a novelty, but as operational infrastructure, deployed deliberately, governed thoughtfully, and scaled intentionally.

About Mike Gadsby

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