November 2022 will always be remembered as the moment when the term AI began appearing in virtually every sentence and service. 

Almost overnight, every company, service and way of life we know seemed to adopt the term, and people naturally shifted their language from “Google it” to “according to ChatGPT/Claude/Gemini/Copilot…”. 

AI, along with all the change it represents, is now a reality. It has been absorbed into everyday life at a remarkable pace, showing how technology adapts every time faster to our routines. A quick glance at how long it took the world to adopt radio globally (38 years), television (13 years) and the internet (4–7 years) makes the contrast with Artificial Intelligence striking, in just three years, it has already become a fundamental part of the social reality. 

Given all this, it is no surprise that Y Combinator, the world’s leading startup accelerator, has included the Native AI agency model among its requests for Spring 2026 startups. This agency model is one of the most attractive at present because it places automation at the center of operational processes, enabling rapid scaling, while humans remain at the core of strategy and creative direction. 

What does this mean for Digital Performance Marketing agencies? What comes next? 

These are the key areas agencies must focus on to stay ahead of the curve: 

Shifting from executors to architects (From “running campaigns” to designing the system that makes them win) 

The traditional agency operates in execution mode: launch, adjust, optimise, report. The Native AI agency changes that role. It moves from being the hands to becoming the brain, leaving execution tasks to AI. It is no longer measured by how many tasks it completes, but by how effectively it designs the mechanism that delivers results. The focus shifts from “what are we doing today?” to “what are we building so this works consistently?” 

Moving from siloed channels to integrated systems 

Traditional agencies are structured as a collection of silos: each team optimises its own platform, and that’s it. But real growth does not live in a single channel, it lives in the connection between acquisition, conversion, CRM, retention and monetisation. 

An AI-native agency is organised as an integrated system, where the goal is not simply for Meta to perform well, but for the entire business to scale. 

From producing creative to industrialising experimentation (From “10 ads per month” to “200 hypotheses in constant testing”) 

The traditional agency treats creative as a production line: assets are produced, delivered and approved. The Native AI agency transforms it into a continuous laboratory: modular ideas, rapid variations, systematic testing and machine-led learning of winning patterns. 

Creative stops being an event and becomes an engine of infinite iteration. 

This new agency model is set to become the guiding force in 2026 and the years ahead, reshaping how organisations operate. By including automation at the core of workflows, it enables more efficient processes while freeing up time and bandwidth. In doing so, it shifts the human role away from repetitive execution towards higher-value creativity, strategic direction and decision-making where they matter most.