AI not sits quietly within the background. On this episode of The Velocity of Tradition podcast, Suzy founder and host Matt Britton explains why 2026 will develop into a turning level for shoppers, not simply firms. 

He breaks down the highest client AI traits for 2026 that can change how folks search, purchase, create, and study. From conversational discovery to personalised experiences at scale, this dialog helps manufacturers perceive how expertise connects to actual human conduct.

Matt Britton is the founder and CEO of Suzy, a client insights platform that has raised over $100 million in enterprise capital and works with high manufacturers like Coca-Cola, Google, Procter & Gamble, and Nike. 

Matt can also be the bestselling writer of YouthNation, a blueprint for understanding the seismic shifts shaping our future financial system, and Generation AI, which explores how Gen Alpha and synthetic intelligence will rework enterprise, tradition, and society.

Key takeaways:

[00:01] Concepts Transfer From Thought to Execution at Unmatched Velocity — Matt explains that AI removes the historic limitations between creativeness and execution. What as soon as required capital, specialised abilities, or giant groups can now be created by people in hours. This shift adjustments how shoppers take into consideration productiveness, possession, and artistic energy. As Shopper AI adoption conduct expands, folks count on instruments that assist them act instantly on concepts, not plan endlessly. Velocity turns into a baseline expectation, and hesitation turns into the actual constraint.

[07:45] The Gen Alpha AI Technology Resets Shopper Expectations — The Gen Alpha AI technology grows up in a world the place AI all the time exists. Interacting with expertise conversationally feels pure, not futuristic. Matt explains how this reshapes belief, studying, creativity, and emotional attachment to instruments. For manufacturers, this implies future shoppers count on methods to grasp context, reply personally, and evolve with them. Gen Alpha units the usual for personalization, instinct, and responsiveness throughout digital experiences.

[11:49] AI Progress Strikes So Quick That Previous Expertise Loses Strategic Worth — Matt makes a robust level that many individuals misunderstand the tempo of AI change by anchoring their judgment to what instruments might or couldn’t do months in the past. He explains that at this time represents the weakest AI anybody will ever expertise, not a steady benchmark. Language, imagery, video, and reasoning enhance in parallel, not in isolation. Planning for High client AI traits 2026 requires abandoning linear pondering and accepting compounding progress. Manufacturers that delay motion whereas ready for polish danger designing methods for a model of AI that not exists by launch.

[23:30] AI Adoption Begins in Private Life and Forces Enterprise Change Later — Matt compares AI adoption to the early iPhone period, the place shoppers first used expertise freely at dwelling whereas firms resisted it at work. Folks already depend on AI for private well being monitoring, household assist, funds, and on a regular basis choices as a result of there aren’t any approval layers or restrictions. This hands-on experimentation accelerates Shopper AI adoption conduct and builds actual confidence by use, not concept. Over time, this creates stress on organizations, since workers carry expectations formed by private effectivity into skilled environments that also lag behind.