The genie is out of the bottle. Artificial Intelligence (AI) is here. And while it’s shaking up every corner of the workplace, one area where it’s making a surprisingly creative impact is learning and development. More specifically, Learning Experience Designers (LXDs) are embracing AI tools to reimagine how they design, build, and deliver training.
We’re not just talking about faster timelines (although that’s definitely a perk). We’re talking about better personalization, richer storytelling, scalable simulations, and new ways to measure learner engagement.
Whether you’re an L&D leader looking to modernize your training or a consultant curious about adding AI to your toolkit, this article will walk you through how today’s learning experience designers are using AI in corporate training with real examples and tools to explore.
AI-Powered Brainstorming and Content Drafting
Let’s start with the basics: idea generation. Tools like ChatGPT, Claude, and Gemini are acting like creative co-pilots for LXDs.
These tools help designers:
- Brainstorm learning objectives or branching scenarios.
- Draft quiz questions or job aids.
- Rewrite content for tone, audience, or readability.
One LXD we spoke with put it this way:
“I needed to write a scenario about difficult conversations in the workplace. I asked ChatGPT for five realistic options based on healthcare environments, and it gave me a great head start. I still edited for tone and nuance, but it saved me hours.”
AI isn’t replacing the human insight behind great learning. It’s helping LXDs get to the good stuff faster.
Fast, Scalable Voiceovers and Videos
Once the script is ready, AI steps in again, this time on the media production side.
Here are just a few of the tools making waves:
- WellSaid Labs and ElevenLabs for AI-generated voiceovers.
- Vyond for animated explainer videos.
- Synthesia for avatar-based video delivery.
Instead of waiting on a voice actor or a video production team, LXDs can now create high-quality narration and visuals in a fraction of the time for a fraction of the cost.
Use Case: A contract Learning Experience Designer could use Synthesia to quickly produce a compliance training video featuring a virtual presenter aligned with the company’s tone and branding. With no need for a camera crew or studio setup, the entire video could be completed in a single afternoon, saving time and production costs.
This isn’t just fast, it’s scalable. You can iterate quickly, update content without re-recording, and localize for global teams more easily than ever before.
Personalized Learning Paths Powered by AI
Remember when all learners had to sit through the same course, regardless of what they already knew? Those days are fading fast.
Now, LXDs are partnering with AI-driven learning platforms like:
- Docebo
- EdCast
- Learn Amp
- Filtered
These platforms can:
- Recommend learning content based on job role, performance, or interest.
- Serve up just-in-time microlearning based on skill gaps.
- Create dynamic learning journeys that adapt in real-time.
This kind of adaptive learning isn’t just cool, it’s effective.
Use Case: An L&D team launching a new product could implement an AI-curated learning experience to personalize content for different roles.
Role-Plays and Coaching with Agentic AI
Here’s where it gets even more exciting: AI-powered simulations and coaching.
Tools like Ability.AI, Scena.AI, and Unboxed are helping LXDs create safe, realistic practice spaces for learners, especially in soft skills and leadership development.
These tools allow learners to:
- Practice giving feedback to a virtual employee.
- Engage in sales conversations with an AI-powered prospect.
- Receive feedback and coaching tips in real time.
For companies that don’t have the budget or logistics for 1:1 coaching, this is a game-changer.
Use Case: New leaders can practice challenging conversations with an AI-powered avatar that responds in real-time, simulating a realistic coaching session. This approach provides scalable, on-demand practice without the need to schedule time with a live coach.
This kind of agentic AI is helping scale development without sacrificing personalization.
Download Your Copy of Agentic AI vs. Generative AI – What’s the Difference?
Behind-the-Scenes AI: Admin and Efficiency Boosts
AI isn’t just for flashy content. It’s also quietly transforming how LXDs manage their projects, meetings, and data.
Some favorite tools include:
- Fireflies and Otter.ai for transcribing stakeholder interviews and focus groups.
- Notion AI for organizing and summarizing research notes.
- Grammarly AI for clarity and tone editing.
Use Case: A Learning Experience Designer (LXD) conducting multiple SME interviews can use a tool like Fireflies to transcribe conversations and Notion AI to analyze and identify key themes. This streamlined approach can reduce days of manual work to just a couple of hours, accelerating design timelines without sacrificing quality.
AI in the background means more time to spend on creative problem solving and less time on admin tasks. And when timelines are tight (which they always are), that matters.
What This Means for the Future of LXD
The big takeaway? AI isn’t replacing learning experience designers, it’s empowering them.
Instead of spending time on tedious tasks, LXDs can:
- Get insights faster.
- Design with more creativity and flexibility.
- Deliver training that’s more responsive to real learner needs.
- Scale personalized experiences in ways that were impossible just a few years ago.
We’re still early in this transformation. But the LXDs and instructional designers who are leaning into these tools today will be the ones shaping the future of learning tomorrow.
AI tools are making learning experience design more dynamic, efficient, and impactful than ever. From content creation to simulation, personalization to productivity, the LXD toolbox has never been more powerful.
Download Your Copy of 10 Ways L&D Departments Are Using AI In 2025
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