The promise of hyper-personalization has been a marketing mantra for what feels like an eternity. We’ve heard it, we’ve read about it, and frankly, we’ve largely seen incremental progress at best. What’s changed, or rather, what Adobe is aggressively pushing now, is the underlying infrastructure to actually deliver on that promise. The shift from fragmented customer data to truly connected, individual experiences isn’t just a buzzword anymore; it’s a declared operational reality.
Live from CES 2026, Adobe Enterprise CMO Rachel Thornton sat down with Matt Britton on ‘The Speed of Culture’ podcast to unpack precisely this. It’s not just about gathering data points; it’s about synthesizing them into actionable customer profiles that enable genuine personalization at an enterprise level. This is the core of Adobe’s evolving play.
Beyond the Hype: What Does Adobe’s AI Actually Do?
For many in the industry, the conversation around AI in marketing often devolves into either utopian automation or dystopian job displacement. Thornton’s perspective, however, paints a more nuanced picture, focusing on the removal of friction. Agentic AI, in her view, isn’t about replacing marketers but about augmenting their capabilities by handling the repetitive, time-consuming tasks. Think audience agents suggesting who to target based on campaign performance, or insights agents surfacing critical findings without a formal request. It’s about freeing up human marketers to focus on the strategic thinking and creative experimentation that truly drive a brand forward.
This focus on efficiency aligns with a broader theme: that everyone is a creator. Thornton argues that the act of creation is now central to almost every role, from crafting a sales pitch to launching a product. Adobe’s expanding suite, encompassing everything from Creative Cloud to Express and Firefly, aims to democratize creativity, allowing teams to operate with greater autonomy while staying within brand guardrails. The goal is to enable speed and independence, allowing marketing teams to react to market moments as they happen, not days or weeks later.
Maintaining Trust in the Age of Generative Content
Here’s the thing: as AI makes content creation faster and more accessible, a critical risk emerges: brand integrity. It’s easy for AI to churn out copy or visuals, but ensuring those outputs align with established brand standards globally is a monumental challenge. Adobe’s work with clients like Coca-Cola demonstrates a potential solution. By embedding AI-driven brand guidelines directly into the creative workflow, global teams can generate assets with a higher degree of confidence that each output meets the required standards. This isn’t just about aesthetics; it’s about structural trust, a competitive advantage for brands built for longevity.
Trust, she argues, is not just a soft value. It is a structural advantage that separates brands built for the long term.
This emphasis on brand integrity feels particularly salient. We’ve seen enough AI-generated content drift into the uncanny valley or outright miss the mark to know that simply having the ability to create isn’t enough. The ability to create correctly, consistently, and on-brand is where the real value lies. Adobe’s bet is that by baking these controls into their platform, they can offer a scalable solution.
The Dual Audience: Humans and AI Agents
Thornton introduces a fascinating framing that cuts through a lot of the AI noise: brands now need to build for two distinct audiences. The first, naturally, is the human customer. The second, increasingly important, is the AI agent searching on behalf of that customer. With the rise of generative search engines and AI assistants, the way users discover information and brands is fundamentally changing. Winning in this new landscape requires the same — if not more — attention to content quality, relevance, and experience as traditional SEO ever did.
This is the strategic thinking behind Adobe’s LLM Optimizer and the recent Semrush acquisition. It signals a clear direction for enterprise marketing: optimize not just for human eyeballs, but for algorithmic comprehension. The lines between content marketing, SEO, and AI interaction are blurring rapidly. Brands that fail to grasp this dual audience will likely find themselves invisible in the emerging generative AI ecosystem.
What this all boils down to is Adobe’s strategic pivot: moving from a suite of creative and marketing tools to an integrated platform designed to manage the entire customer journey in an AI-accelerated world. The question for the market now isn’t if AI will transform marketing, but how companies like Adobe will build the scaffolding to make that transformation manageable, and profitable, for enterprise brands. The infrastructure, it seems, is finally catching up to the ambition.
