We're living through one of the most exciting moments in the history of technology. AI systems can now help us write, design, analyze, and collaborate in ways that seemed like science fiction just a few years ago. The pace of research is breathtaking. Teams around the world, from universities to startups to major labs, are pushing the boundaries of what's possible.
This is a remarkable time to be building software. And as AI becomes woven into every tool we use (document editors, whiteboard apps, design tools, note-taking systems), one question becomes increasingly important: what happens to your data?
That's where open standards come in.
Your data should outlive your tools
Think about the documents, diagrams, and drawings you've created over the years. Some are in tools that no longer exist. Others are trapped in formats that only one app can read. Every time you switch tools, you risk losing work or spending hours manually recreating it.
Open standards solve this problem. When a file format has a public specification, any developer can build tools that read and write it. Your data becomes portable. You can switch between apps without starting over. You can use the best tool for each job, confident that your work will travel with you. This is why open document standards are so important. They preserve your work across tools and time.
This matters even more in the age of AI. Today's cutting-edge model might be tomorrow's baseline. The startup with the best AI features today might pivot or shut down next year. Open standards mean your documents aren't tied to any single provider's fate.
AI thrives on good standards
Here's something that doesn't get talked about enough: AI tools work better when they have well-structured data to work with. A document with semantic markup (headings, lists, tables, annotations) gives an AI model much more to work with than a blob of unformatted text.
Open standards encourage this kind of rich, structured data. When formats are documented and consistent, developers can build better integrations. AI assistants can understand context. Search becomes smarter. Automation becomes more reliable.
The same applies to whiteboards and drawings. When diagrams have semantic meaning (this is a flowchart, that's an org chart, these shapes are connected), AI tools can help you in much more sophisticated ways. Open formats make this possible by defining what the data means, not just how it looks. We explore this in more detail in open standards for whiteboarding.
Formats matter more than models
There's a lot of debate about which AI models should be open and which shouldn't. That's an interesting conversation, but it's not really our concern. What we care about is simpler: can you get your data out?
Use whatever AI tools work best for you. Choose the ones with the best features, the best performance, the best experience. What matters is that your documents, diagrams, and drawings aren't trapped. Open formats mean you can always export, always migrate, always switch. The model behind the tool is less important than the format of your files.
What we're building
At the Open Document Alliance, we're focused on the infrastructure layer: the specifications and open-source tooling that make open formats practical. We write parsers and converters. We maintain libraries in multiple languages. We create bindings that let any developer, building with any AI model, work with documents, whiteboards, and drawings. As we explore in why tech ecosystems matter, this kind of shared infrastructure creates compounding value for everyone.
Our goal is simple: when you create something, it should belong to you. You should be able to open it in any tool, transform it with any AI, and trust that it'll still be readable in twenty years.
The age of AI is here. We're making sure your documents are ready for it.
How to get involved
If you care about open standards, there's a lot you can do. When evaluating tools, ask about export formats. Prefer apps that support open standards. If you're a developer, consider contributing to open-source parsers and converters, the unsexy infrastructure that makes portability possible. And as AI makes content creation easier, the ability to verify and trust what you're seeing becomes even more essential.
And if your organization is building AI-powered document tools, think about format support early. The best time to adopt open standards is before you have a million users locked into a proprietary format.
The future of documents is bright. Let's build it together.