Artificial intelligence has dominated headlines for the past two years. Yet for many organisations, the biggest question remains the same: Where does AI create value today?
That was the focus of our recent webinar, where we explored how AI is already changing content creation, editing, knowledge management, accessibility, and user experience, not as a futuristic vision, but as a set of practical tools publishers can use today.
One message stood out above all from our conversations: AI doesn’t replace high-quality content. It increases its value.
The biggest opportunity isn’t creating more content
Most organisations already have thousands of pages of valuable knowledge.
- Policies.
- Guidelines.
- Training materials.
- Videos.
- Documentation.
- Knowledge bases.
- Research.
- Internal expertise.
The challenge is rarely a lack of information; instead, it’s making that information easier to find, understand and use.
Rather than asking AI to generate entirely new content, people are increasingly asking:
- How can one document serve multiple audiences?
- How can users get answers instead of searching through dozens of files?
- How can existing knowledge become more accessible?
These questions often deliver much greater business value than creating new content from scratch.
One piece of content can support many audiences
Traditionally, creating content meant publishing a document. Today, one well-structured source can become many different experiences.
The same information can be transformed into:
- executive summaries for management
- learning materials for employees
- FAQ answers for customer service
- chatbot responses
- social media content
- accessibility-friendly versions
- multilingual content
Instead of duplicating work, organisations can build once and reuse intelligently.
People are no longer searching for documents
They are searching for answers. This is perhaps the biggest shift AI has introduced.
Previously, users searched for files, opened documents and manually looked for relevant information.
Today they increasingly expect to ask:
“How does the AI Act affect our HR processes?”
or
“Where in our training videos is competence development discussed?”
The desired outcome is no longer a list of documents.
It’s a reliable answer with sources available when needed.
Context matters more than the AI model
Many discussions around AI focus on choosing the right model.
In practice, successful AI projects often depend much more on context.
AI performs better when it understands:
- metadata
- terminology
- relationships between concepts
- document structure
- trusted sources
- organizational knowledge
Without context, even the most advanced model may produce vague or unreliable answers.
With the right context, AI becomes significantly more accurate, transparent and useful.
Accessibility benefits everyone
Accessibility is often discussed as a compliance requirement. AI is changing that perspective.
It can automatically help produce:
- captions
- image descriptions
- simplified language
- translations
- summaries
- personalised explanations
These features don’t only help users with disabilities. They improve understanding for everyone.
Good accessibility ultimately means better communication.
Your content now has two audiences
One idea from the webinar captured the broader transformation particularly well:
In the future, your content will have two audiences: people and AI. Humans still need content that is understandable, trustworthy and engaging.
But AI also needs content that is structured, connected and enriched with meaningful metadata. This makes content architecture increasingly important.
The organisations that prepare their information well today will be able to deliver better search, smarter assistants, more personalised learning and more efficient knowledge work tomorrow.
AI is a capability, not a project
Perhaps the most important takeaway is that AI implementation isn’t a one-time technology project.
It’s an ongoing organisational capability.
The most successful publishers start with practical use cases, improve the quality of their information, integrate AI into existing processes and continuously learn from real-world use.
The technology will continue to evolve. But high-quality information, clear structures and meaningful context will remain the foundation.
And that’s exactly where lasting value is created.
