Why We Moved from Canva to Adobe Express, and Why Your Content Team Should Pay Attention

We moved from Canva to Adobe Express. Not because Canva stopped working. Canva is fine. It does what it has always done: it gives non-designers a way to make things that look good enough. For years, that was sufficient. But sufficient is not a strategy. And what we are building for our clients now requires more than a drag-and-drop canvas with templates.

The decision was driven by three things: where Adobe is investing in generative AI infrastructure, how Adobe Express is being architected for extensibility through Add-Ons, and how the entire Adobe ecosystem connects to the protocol layer we are building around brand governance. When you look at where content creation is headed, not where it is today but where it is going in the next twelve to eighteen months, Adobe is positioned for it and Canva is not.

The Generative AI Gap Is Already Here

Content marketers are about to hit a wall, and most do not see it coming. Right now, the job is still primarily manual. You open a tool, pick a template, drag in your logo, adjust the colors, export a PNG, and post it. Maybe you use an AI feature to generate a background or suggest a layout. The AI features in both Canva and Adobe Express feel like additions to the existing workflow, helpful but not transformative.

That is about to change. Generative AI is not going to stay in the sidebar suggesting copy or swapping backgrounds. It is going to become the primary interface for content creation. The content marketer of 2027 will describe what they need, the audience, the channel, the campaign objective, the brand constraints, and the system will produce finished assets. Not suggestions. Not templates. Finished, on-brand, channel-optimized content. The marketers who understand this shift will be the ones directing it. The ones who do not will be the ones replaced by it.

The question for any content team evaluating creative tools right now is not what the tool can do today. It is whether the platform underneath the tool is being built to support that future. And this is where the Canva and Adobe trajectories diverge sharply.

Adobe Firefly Is Not a Feature. It Is Infrastructure.

Canva has AI features. Adobe has AI infrastructure. That distinction matters. Canva's AI capabilities, Magic Write, Magic Design, background removal, text-to-image, are features added to an existing product. They work within Canva's interface, on Canva's terms, using models that Canva licenses or builds for specific use cases. They are useful. They are also closed. You cannot extend them, connect them to external systems, or build on top of them in any meaningful way.

Adobe Firefly is different in kind. Firefly is a family of generative AI models trained exclusively on licensed content, Adobe Stock, and public domain material. This is not a footnote. It is a commercial and legal foundation that matters for any organization producing content at scale. Firefly models are designed to be commercially safe, meaning the outputs carry no ambiguity about training data provenance or intellectual property risk. For regulated industries, enterprise brands, and any organization that takes brand governance seriously, this is not optional.

More importantly, Firefly is not confined to one product. It powers generative capabilities across the entire Adobe ecosystem: Photoshop, Illustrator, InDesign, Premiere Pro, and Adobe Express. The same models, the same training data, the same commercial safety guarantees, available everywhere. When Adobe improves Firefly's image generation or adds new capabilities like generative video or 3D, those improvements flow across every product simultaneously. Adobe Express is not a standalone tool competing with Canva. It is the accessible entry point to an ecosystem that extends from social media graphics to feature film production.

Add-Ons and Extensibility: Where the Real Advantage Lives

Here is where the conversation shifts from AI models to platform architecture, and where Adobe Express pulls away from Canva in ways that matter for what we are building. Adobe Express supports Add-Ons, third-party extensions that run inside the application, built on Adobe's extensibility framework. These are not integrations in the Canva sense, where a third-party tool connects via API to push or pull assets. They are embedded experiences that extend what Adobe Express can do from within the creative workflow itself.

This is the capability we are investing in directly. We are developing Add-Ons for Adobe Express that connect to our Brand MCP architecture, the same Model Context Protocol infrastructure we use to give AI agents structured access to brand voice, content standards, design tokens, and asset libraries. An Add-On built on this architecture can do something no template library or AI sidebar can: it can ensure that every asset created in Adobe Express is governed by the client's actual brand system in real time, not after the fact during a review cycle.

Canva has an app marketplace. It has integrations. What it does not have is an extensibility model that allows developers to build deeply embedded, brand-governed creative experiences inside the tool. The integrations are surface-level: connect to Google Drive, publish to HubSpot, import from Dropbox. They move files around. They do not change how content is created or governed.

Brand MCP and the Protocol Layer That Changes Everything

The Model Context Protocol is the connective tissue that makes this architecture work. MCP is an open standard, created by Anthropic, that defines how AI agents discover and interact with external systems. It is the reason an AI assistant like Claude can connect to your CMS, your analytics platform, your project management tool, and your brand system through a single, standardized protocol rather than custom integrations for each.

Our Brand MCP server gives AI agents structured access to everything that defines how a brand should be represented: voice guidelines, content pillars, color systems, typography rules, audience definitions, channel-specific constraints, and approved asset libraries. When an AI agent creates content, whether it is drafting social copy, generating an image prompt, or producing an email campaign, the Brand MCP ensures that the output is grounded in the client's actual brand system. Not generic. Not approximately right. Precisely on-brand, because the brand rules are machine-readable and enforced at the protocol level.

Adobe Express with Add-Ons built on the Brand MCP creates a workflow that did not exist before. A content marketer opens Adobe Express, the Add-On loads the client's brand context via MCP, and every creative decision, from color palette to typography to image style to copy tone, is guided by the brand system. Firefly generates visuals that conform to brand guidelines. Copy suggestions follow the established voice. Export settings match channel specifications. The brand guide is not a PDF someone checks after the fact. It is the operating system running underneath the creative tool.

This is what we mean when we talk about the brand guide as a content operating system. It is not a metaphor anymore. It is an architecture, and Adobe Express is the creative surface where that architecture meets the content marketer.

What Content Marketers Need to Understand Right Now

If you are a content marketer whose job is creating social graphics, editorial visuals, email banners, and campaign assets, the next eighteen months are going to reshape your role. This is not speculation. The infrastructure is being built right now. Here is what you need to understand.

Your Job Is Moving from Creation to Direction

The manual work of assembling graphics, dragging elements, adjusting spacing, exporting at different sizes for different channels, is being automated. Not eventually. Now. Generative AI can already produce social graphics, resize assets for multiple platforms, and generate variations for A/B testing faster than any human. The value you bring is not in the assembly. It is in the judgment: what should we say, to whom, through which channel, with what intent. The content marketer who thrives in this environment is the one who can direct AI systems effectively, not the one who can use a design tool efficiently.

Brand Governance Becomes Your Most Valuable Skill

When content production accelerates by an order of magnitude, and it will, the constraint is no longer volume. It is consistency. Can every piece of content, regardless of who or what produced it, represent the brand correctly? The marketers who understand brand systems deeply, who can define and maintain the rules that govern how a brand shows up across channels, will be the ones running content operations. Everyone else will be feeding prompts into tools they do not fully control, producing output they cannot fully govern.

The Tool You Choose Is a Platform Bet

Choosing a creative tool used to be a preference decision: Canva or Adobe, Mac or PC, Sketch or Figma. That era is ending. The tool you choose now is a platform decision with strategic implications. Does it connect to your brand system? Does it support the extensibility model your organization needs? Does it run on AI infrastructure that is commercially safe and architecturally sound? Does it integrate with the protocol layer that AI agents use to interact with external systems? These are not feature comparisons. They are architecture questions. And they determine whether your content team is building on a foundation that scales or one that hits a ceiling.

Why Adobe Is Positioned and Canva Is Not

Adobe has spent four decades building creative tools for professionals. Photoshop, Illustrator, InDesign, Premiere Pro. These are not products. They are standards. Industries from publishing to film to architecture to fashion run on Adobe tools. When Adobe builds AI infrastructure, it builds it across that entire ecosystem. When Adobe invests in extensibility, it builds on decades of plugin and extension architecture. When Adobe addresses commercial safety in AI training data, it does so with the legal and licensing infrastructure of Adobe Stock behind it.

Canva built a very good product for a specific use case: making design accessible to non-designers. That was a genuine innovation, and it served a real market need. But accessibility is not architecture. Making things easy to use is not the same as building a platform that AI agents, brand systems, and enterprise workflows can build on top of. Canva is adding AI features to a design tool. Adobe is building AI into the platform layer of a creative ecosystem. Those are fundamentally different strategies, and they lead to fundamentally different outcomes for the organizations that build on them.

Adobe Express is not Photoshop. It is not trying to be. It is the accessible, fast, template-driven creative surface that competes directly with Canva for the content marketer's daily workflow. But unlike Canva, it inherits the AI infrastructure, the extensibility framework, the commercially safe generative models, and the ecosystem depth of the full Adobe platform. It is Canva's ease of use built on Adobe's foundation. That combination is what makes it the right platform for where content creation is headed.

What We Are Building

At Berchtold, we are not just switching tools. We are building the infrastructure that connects brand governance to creative production. Our Brand MCP architecture gives AI agents structured access to every element of a client's brand system. Our Adobe Express Add-Ons bring that brand context directly into the creative workflow. And our content strategy practice ensures that the brand system itself is comprehensive, current, and machine-readable.

For our clients, the migration from Canva to Adobe Express is one piece of a larger shift: moving from manual content production to AI-native content operations governed by brand systems that work for both humans and machines. The editorial calendar still exists. The social content still gets created. The email campaigns still go out. But the infrastructure underneath all of it is fundamentally different, faster, more consistent, and built on a platform that grows more capable as Adobe continues to invest in Firefly, Add-Ons, and the broader Creative Cloud ecosystem.

The content marketers who understand this shift, who invest in brand governance, who learn to direct AI systems rather than compete with them, who choose platforms based on architecture rather than templates, are the ones who will lead content operations in the years ahead. The ones who keep dragging logos onto pre-made layouts are the ones generative AI was built to replace.