What the research tells us: L&D professionals are ready

To develop ADGIE, the authors surveyed 90 education and training professionals. The findings show clear excitement for what AI can bring — but also a firm belief in preserving pedagogical rigor.

• 94% welcome content generation automation.

• 86% want help with structuring learning content.

• 91% say they must personally validate AI-generated content.

• Only 49% feel “very ready” to delegate pedagogical method selection to AI.

The takeaway: yes to smart automation, no to blind delegation. ADGIE embodies this balance — enhancing efficiency while reinforcing instructional integrity.

Clear gains, real challenges

In my view, adopting ADGIE means embracing:

• Faster design cycles, thanks to automated workflows.

• Highly personalized learning, tailored in real time.

• Elevated roles for learning designers, who focus on coherence, strategy, and innovation.

• Stronger alignment with business needs, as learning adapts at the pace of change.

But it’s not a plug-and-play solution. Success with ADGIE depends on:

• High-quality data to fuel accurate AI outputs.

• Training for instructional designers on AI collaboration.

• Ethical guardrails to address bias, access, and data privacy.

ADGIE: a real answer to enterprise learning demands?

Faced with talent shortages, budget constraints, and upskilling pressure, many L&D teams are looking for ways to do more with less. ADGIE might be the framework they’ve been waiting for.

Companies adopting this model could:

• Scale instructional design without compromising quality.

• Roll out adaptive content quickly across regions and teams.

• Elevate the trainer’s role — from content builder to experience curator and human connector.

Some early adopters, like Safran and LVMH, are already experimenting with generative tools like Synthesia and GPT Creator alongside traditional ADDIE workflows. ADGIE takes it a step further by integrating AI from the very start of the process.

Conclusion: a compass for the next generation of learning designers

ADGIE isn’t a buzzword. It’s a thoughtful, grounded attempt to build a learning design model that reflects both the power of AI and the responsibility of humans. It doesn’t replace instructional designers — it empowers them.

It lays the groundwork for agile, ethical, learner-centered training at scale. It still needs real-world validation in corporate and academic settings, including vendors like Blify. But the foundation is solid.

One thing is certain: as companies scramble to “do more with less,” ADGIE shows a promising path forward — where AI is an enabler, not a replacement. Where the designer stays at the helm, more equipped than ever.

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FAQ

What is the ADGIE model?
ADGIE is an evolution of the ADDIE instructional design model that integrates artificial intelligence into every step of the learning design process — while preserving human oversight.

How is ADGIE different from ADDIE?
Unlike ADDIE, ADGIE introduces a generation phase (AI-powered content creation) and an individualization phase (real-time personalization for each learner).

Why adopt ADGIE in corporate training?
ADGIE helps reduce design time, tailor learning experiences, and integrate AI — all without compromising instructional quality.

Will AI replace instructional designers?
No. ADGIE is built on collaboration between AI and humans. AI handles repetitive tasks, while designers lead strategy, validation, and creativity.

Is ADGIE being used already?
ADGIE is a recent framework still being validated. Organizations like Blify are exploring its application in real-world learning environments.