If 2025 has taught us anything, it’s that AI is no longer just a buzzword. Nor is it some future existential threat. It’s here and it’s reshaping the way we do everything. For instructional designers, freelancers, and digital creators, AI isn’t here to replace us; it’s here to save time and help us create more personalised learning (no, I’m serious).

What can AI do for eLearning?

I like to think of it as my co‑designer. My trusty ally. When it comes to staff training, AI can help with:

• Drafting scenarios and scripts
• Bouncing ideas off of, and advising on execution
• Generating visuals, diagrams, or even avatars (passable)
• Voiceovers and dialogue for scenarios
• Microlearning paths based on learner behaviours

Yes. AI can even analyse learner questions, answers and actions in order to determine the best learning pathway for them. Tasks that used to take hours — like writing repetitive examples or creating multiple-choice questions — can now be done in minutes. That gives us more brainpower to focus on pedagogical strategy, learner engagement, and creative flair (and probably the visuals, too).

Think of it this way: AI helps with the small, detailed things, so that humans can focus on the bigger picture.

Prompting like a pro

AI is only as good as the guidance it gets. Clear prompts are everything. So never fear, we still need to use our brains, naysayers! Some tips:

• Be specific: “Write a 5‑minute scenario for a safety induction course about chemical handling, suitable for adult learners.”
• Set the style: “Keep the tone friendly and conversational, like a modern workplace newsletter.”
• Iterate: AI responses can be refined — try a few angles and pick the best bits.
• Layer in your expertise: AI is fast, but it doesn’t know your learners like you do. Always review and tweak.

Think of it as a brainstorming partner rather than an autopilot.

The Ethics: Let’s Discuss

As we lean on AI more, there are a few things to keep in mind:

• Accuracy: AI can generate plausible-sounding but incorrect information (ask me how I know). Fact-check everything.
• Bias: AI reflects the data it was trained on, which may include societal biases. Watch for unintentional stereotyping.
• Transparency: Let learners know when AI is involved, especially if it impacts assessments or personalised recommendations.
• Ownership: Understand licensing rules for AI-generated images, text, or audio if you’re using them commercially.

Ethics isn’t just a “nice-to-have,” it’s essential for maintaining trust with our learners and clients.

Keeping it Human

AI can be tempting to use as a shortcut, but the real value comes when it supports solid instructional design, not replaces it. That is our responsibility as designers, educators (and humans). A few strategies we should all remember:

• Use AI for the repetitive bits: outlines, draft questions, visuals — not your learning objectives.
• Always review: Make sure content aligns with learning outcomes, accessibility standards, and modern adult learning principles.
• Add human insight: Learner engagement, emotional nuance, and context-sensitive decisions still need a human touch.

The sweet spot is when AI helps you work faster without cutting corners — freeing time for creativity, connection, and meaningful learning experiences.

In 2026, AI is our creative ally in instructional design. It handles repetitive tasks, sparks new ideas, and can help us design smarter, more personalised learning experiences. But the real magic happens when we add the flavours of intention, nuance and humanity.

After all, the best learning isn’t just about speed — it’s about making knowledge stick, inspiring hearts and minds, and creating experiences that people actually enjoy.

How does AI support you in your own projects? Comment down below and let’s swap hacks.