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AI use is accelerating at a blistering pace. According to Stanford, global corporate AI investment has grown nearly fortyfold from 2013 to 2025. As large-language models and supplemental MCPs mature, companies will only continue to embed AI into their native tech stacks. At that point, the question becomes: Is your organization doing the same?
The AI frontier is still wide open, but it won’t be for long. What began as a black box is quickly becoming a race to AI literacy, then fluency. Companies that use AI not to cut corners but as a true strategic lever will develop a clear competitive advantage in the months ahead.
As a learning and development team, you have just as much to gain from AI as you have to lose. Cluttered content libraries, old file formats, and outdated information architecture won’t pass muster in a world where users can now prompt their LLM and get education from other, better-optimized sources in seconds.
If you feel like your academy is invisible to AI, don’t be discouraged; you already have the tools you need to adapt. In this piece, we’ll discuss how the L&D landscape has shifted with AI, and share how to level up your content strategy to take advantage.
The State of L&D Programs: Then and Now
Learning and development has long been a digital-first function. According to Training Magazine, only 28% of company training hours are delivered in person. Couple that with another finding — that 89% of companies use a learning management system (LMS) — and it’s clear where the bulk of L&D’s focus lies.
AI is only deepening our reliance on online virtual content. Decades ago, an employee may have sat through hours of pen-and-paper training. Just a few years back, they may have received similar training through the comfort of a webinar or on-demand video series. Today, however, that same person can get those learnings summarized through an LLM in a fraction of the time.
Let’s be clear: An AI summary will never replace long-form education. Guided repetition is a critical aspect of learning, and no matter how powerful an AI model becomes, it cannot replicate that experience. What AI can do — and is already doing for L&D teams — is enable facilitators and instructional designers to create and curate content for users at a clip they couldn’t before.
Learning is personal, and it’s easy to feel AI is at odds with that mantra. In reality, however, the opposite couldn’t be more true. L&D teams like yours should be looking at how AI can accelerate your content design process, so you can spend less time storyboarding ideas and more time iterating on what types of education will resonate with your audience.
The Importance of AI-Friendly L&D Content
Even if your L&D team isn’t looking to design a brand-new curriculum, AI is changing the game for everything you’ve built up until now. In an age of social media feeds and instant AI answers, audiences are looking for smaller, bite-sized, more digestible learning experiences. The nature of the content hasn’t necessarily changed, but the forum and delivery of that content certainly have.
Think of the ways your team currently organizes L&D content. Even if you use a learning management system, you will likely encounter pains you weren’t used to before. We now live in a world where the vast majority of Fortune 500 companies use at least one of the major AI models: ChatGPT, Gemini, Claude, and Copilot. For many employees, those tools are their command centers; it’s where they search for information, draft documents, create presentations, and more. Even for your stickiest users, these LLMs are battling with your courses, webinars, and ebooks for attention.
Exacerbating the issue is that these AI models are particular about what content they parse, and when. Much like organic and paid search dominated the internet of the 2010s and early 2020s, AI search is becoming the de facto way for people to conduct research, cross-reference sources, and absorb information. For your digital learning program to survive and thrive, it’s paramount that you audit existing content and retool it so it works with AI, not against it.
How to Optimize L&D Content for AI
Rebuilding your academy from scratch would be a daunting task. Thankfully, you don’t have to go that route. Much like optimizing for a search engine, it only takes a few strategic tweaks to get your content library humming for AI.
Here are five key ways to maximize AI visibility, now and into the future.
1. Choose an AI-Friendly Format
If your education program is well-established, odds are you’ve accrued some technical debt over the years. Between various multimedia (webinars, podcasts, interactives, etc.), lengthy PDFs and slide decks, and bulky SCORM files, the content you’ve produced may be extremely relevant... but also extremely difficult for AI to parse.
Take inventory of your existing resources and ask: How can we make this content available outside of our ecosystem? Sometimes, the answer is as simple as ungating webpages so AI models can reach them. Other times, you’ll want to create captions for videos or convert an interactive into a Markdown file so AI can actually read the content.
When in doubt, practice accessible eLearning best practices. If a piece of content can’t be found and enjoyed by all people — regardless of mental or physical ability — it’s a sign that AI likely won’t be able to consume it either.
2. Make Your Content Digestible
The right format isn’t the only barrier to AI visibility; how you structure the content matters a whole lot as well.
If you’ve ever optimized education for SEO, you know the drill. Courses should follow a clear taxonomy, with breadcrumbs that guide AI from the top of your information hierarchy to the bottom. Interlink pages using clear anchor text where it makes logical sense, just as you would for a reader who might want to hop to a different lesson or resource. Employ headers to organize information within lessons — again, AI models rely heavily on Markdown — and prioritize readability, ditching complex verbiage for clear, concise copy.
If you find individual courses tend to run long, break those up into smaller, modular lessons. Label everything clearly, so that AI can reference the information it needs without needing to sift through the rest.
3. Invest in a Knowledge Base
If your eLearning ecosystem is permanently gated, or its information architecture would require heavy dev work to improve, another terrific option is to explore an AI-friendly knowledge base.
Many modern AI tools draw on knowledge bases as a user-friendly way to train models. If general-purpose LLMs like ChatGPT are black boxes that only engineers understand, an AI-powered knowledge base hands the reins back to your L&D team. You write the content; you define the segmentation and taxonomy. The AI tool then does the rest, reading your content and serving up best-fit resources to learners based on their exact prompt.
Knowledge bases are particularly effective thanks to their modularity. If you find a lesson needs a refresh or otherwise isn’t delivering on a specific learning goal, you’d simply exclude it from the AI tool’s content bank. These ecosystems tend to be public-facing (making them also great for organic search) and require minimal dev work to set up, letting you focus on crafting a great education experience.
4. Ask AI for Help
L&D will always be a human art. That said, one of the most effective ways to ensure AI can see your content is to have AI help you from the onset.
Just like how a French speaker knows how best to phrase something for a fellow Francophone, AI knows how best to write for other AI tools. When prompting an LLM, ask: “How would you design XYZ education to ensure you and other AI models can read it?” See what the model says. You don’t need to take what it says verbatim; iterate on the content to make it your own. But use AI as a starting point to ensure you’re headed in the right direction.
5. Pick the Right LMS Platform
Of course, some LMS platforms parse and surface AI-generated content better than others. As AI literacy improves and LLMs become ubiquitous, expectations among learning audiences will only continue to rise.
Together with your L&D team, take a close look at your existing LMS to see whether it still meets your needs. Ask yourself:
- Does this platform make it easy to generate and refine content using AI?
- Is content modular? Is it easy to reuse elements so we’re not duplicating work?
- Can AI help not just reduce admin work, but improve the user experience?
- How well does AI personalize learning to the individual?
- Is this platform reputable and trusted? Is our data safe in their hands?
Ask the questions, consider the answers, and make the best call for you, your L&D team, and your learners.
Achieve AI-Ready Learning With Intellum
Intellum’s AI-native LMS platform helps enterprises design personalized education at scale, no matter the audience and their needs. Unlike other LMS tools that rely on third-party AI integrations, Intellum embeds AI throughout the platform, allowing admins and users alike to benefit.
As an L&D lead, use Intellum AI to generate learning paths, courses, and objectives from scratch, so you can iterate faster and polish with greater confidence. Meanwhile, users can prompt AI to get personalized learning, no matter where they are in their learning journey.
Book a personalized demo, and learn why Meta, Amazon, Gusto, and so many other businesses trust Intellum with their enterprise learning needs.
