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About this session Key takeaways
Brand Building for the AI Era
Crafting brand systems used to be a deeply manual process, almost impossible to implement well at scale. The work is becoming engineerable.
Jess Rosenberg sits down with four operators turning brand into a growth function: how to encode brand into systems, how to keep craft non-negotiable while shipping ten times faster, and what changes when the audience reading your work is increasingly an LLM.
- 01Design intelligence is becoming cloud infrastructure. Leland's framing: design has ascended from artifact to system over the last 20 years, but the value always drops the moment design gets handed off to the org for implementation (like a new car off the lot). Jevons paradox kicks in as software becomes cheap to build, so design organizations now have the path to encode their intelligence into software that virtualizes the capability and lets any org run it at scale. The model looks more like AWS than a traditional studio, and AirOps is literally building toward that future from the inside.
- 02AI deepens specialization rather than flattening it. Leland's economics-paper framing: every job is a bundle of expert and non-expert tasks. AI relieves the non-expert tasks. When the job is mostly non-expert tasks, AI lowers the barrier to entry but also lowers pay. When the job tilts toward expert tasks, compensation rises and specialization deepens. For brand and design, expect more diversification of expertise, not fewer named roles. Chief Taste Officer is coming (James suspects it already exists somewhere).
- 03"Make the brand easy to love and impossible to misuse." Paul's mantra for the AI era at Ramp. Brand designers should be builders and systems thinkers, not the ticket queue. He onboarded his team to Claude Code and Cursor in week two and pushed them to shadow every team to learn what they ship weekly. The strategy: build self-serve tools that let the whole org ship 9-out-of-10 work, then bring in experts to take validated wins to 11-out-of-10. The proof point: a single self-serve white paper tool drove $5.6M in sales-qualified pipeline in 2025, and $1.1 to 1.2M per month recently.
- 04Brand is moving from one-to-many memory structures to one-to-one retrieval. James's mind shift: brand building used to be about creating memory structures everyone associated with a company. Now the question is "What do we say so the machines don't have to fire us? How do we build a brand around the retrieval mechanics?" The under-the-hood work of telling machines what they're looking at, so brands show up at the right moment (for HelloFresh, that's when people are hungry), is the new craft.
- 05Alignment drives speed, not tools. Kira's anchor across Notion, Brex, Gusto, and Later: AI isn't what accelerates shipping. Alignment is. The brand leader's job is to repeat the narrative (what are we building, who is it for, what's our right to win) at every decision point, especially because the tools are changing weekly. The role shifts from brand police to brand culture builder. Closing advice from the panel: run a PESTEL analysis on every brief (James), don't build skills disconnected from your brand strategy and tone of voice (Paul), reimagine a current process as if AI were doing it end-to-end (Leland), and touch grass by looking for inspiration outside LinkedIn and Twitter (Kira).