The field of Learning and Development is vulnerable to fads and band wagons. These fads rarely have much, if any, impact on the L&D field.
The use of Artificial Intelligence in L&D is NOT a fad. It is a true game changer. It is making rapid learning development a reality, but we must use it in a way that respects content authors, our learners and security of our client’s data.
In alignment with the standards set by the Association for Talent Development (ATD) and The Learning Guild, I integrate Artificial Intelligence into my instructional design workflow as a strategic partner. My approach follows a “Human-in-the-Loop” framework to ensure that efficiency never comes at the cost of instructional integrity.
I view AI as a high-level Researcher and Technical Editor, not a primary creator. My process adheres to the following pillars:
- Strategic Architecture: I remain in the “driver’s seat” for all high-level design decisions. Learning objectives, pedagogical strategies, and behavioral outcomes are defined by human expertise, not algorithms.
- Rigorous Interrogation: No AI-generated content is ever deployed without human verification. I critically evaluate all outputs for accuracy, bias, tone, and relevance to the target audience.
- Data-Driven Efficiency: I leverage AI to synthesize research, draft initial outlines, and iterate on scripts. This reduces development cycles and allows me to focus more time on high-impact tasks like SME interviewing and learner empathy mapping.
- Privacy & Ethics: I maintain strict data privacy standards, ensuring that proprietary client information is never used to train public AI models.
The Value for Stakeholders
By combining the human touch with AI speed, I deliver learning solutions that are:
Future-Proof: Content is built using the most current industry tools and methodologies.
Faster to Market: Reduced development time means quicker turnaround on complex modules.
Higher Quality: More time is spent on creative problem-solving and quality assurance.
References
ATD
- AI in Instructional Design: Transforming Workflows and Content Creation (August 2025).
- AI in Talent Development: A Playbook for Next-Gen L&D (2025/2026).
- Beyond Automation: Why Talent Teams Need AI Tools to Succeed (February 2026).
Learning Guild
- What AI in Learning Really Looks Like: 5 Key Practices (November 2025).
- Mastering AI Literacy: A New Core Competency for L&D (September 2025).
- The Future of ID in an AI World (2025).
