Exploring The Potentialities Of Agentic Studying With An eLearning Trailblazer

Dr. Allen Partridge is Adobe’s Director of Digital Studying Evangelism, celebrated for his dynamic public talking and insightful writing on immersive studying, gamification, and AI-enhanced training. His PhD in Interdisciplinary Research uniquely integrates artwork, music, theater, philosophy, and laptop science, reflecting the uncommon intersection of creativity, technological fluency, and deep vital pondering. Dr. Partridge’s wealthy tutorial {and professional} journey positions him completely on the nexus of specialised information and AI expertise, embodying the sought-after unicorn skillset important for driving innovation and efficient collaboration in at this time’s evolving information workforce. In the present day, he speaks with us about AI’s position in content material creation and curation, agentic studying, and which rising tech options organizations ought to search for of their subsequent LMS.

Based mostly in your expertise, how can L&D groups use AI to drive effectivity at each stage of creation, curation, and supply?

AI’s biggest energy in L&D at this time is as an accelerator—not a disruptor. Quite than upending established workflows, AI can improve them: dashing content material creation, sharpening search and discovery, and optimizing supply throughout learner teams. One international enterprise used Adobe Learning Manager’s AI recommendations to coach 36,000+ employees with 20% much less admin overhead—with out altering its core technique. One other scaled certification throughout 900+ areas by personalizing supply via AI, growing attain whereas decreasing operational friction. Under is a hypothetical healthcare firm, Ops Labs, that sells a well being informatics resolution to specialist medical doctors. AI suggestions may help suggest programs based mostly on space of curiosity, reputation after all, and so forth.

This type of enhancement can contact each stage of the training cycle. AI can help with writing, construct studying paths dynamically based mostly on consumer conduct, and floor data-driven insights to help directors. The result’s quicker supply, extra related studying, and higher choices with out reinventing the wheel.

Are you able to inform us a bit extra about agentic studying and the way it may help organizations enhance productiveness and empower L&D execs?

Agentic learning refers to an rising AI mannequin the place autonomous brokers act on behalf of the learner, adjusting the expertise in actual time based mostly on objectives, conduct, and context. It is a shift from static studying journeys to one thing extra dynamic and responsive. Image a forest of small, specialised assistants—one surfacing well timed assets, one other nudging a consumer towards mastery, one other suggesting subsequent steps based mostly on noticed progress.

Whereas nonetheless on the horizon for a lot of, the potential is compelling. These brokers may cut back the necessity for fixed guide curation and provides learners extra autonomy, each of which assist L&D groups scale with out sacrificing relevance. We’re seeing early explorations of this idea in adaptive suggestions and role-aware studying paths, and platforms like Adobe Studying Supervisor are evolving to help these sorts of clever, learner-centered experiences.

One of many options we’re rolling out in beta is an Admin AI Assistant to raise the L&D admin’s self-service expertise. The AI-powered assistant is designed to supply prompt and correct responses to your widespread queries and troubleshoot points on the platform with out referring to prolonged documentation or dependency on our help groups.

What’s one in every of your standout shopper success tales that highlights the facility of AI and human collaboration?

Two examples come to thoughts—very totally different organizations, however they underscore how AI can prolong human capability with out changing it.

A worldwide airline, working via an enormous franchise mannequin, wanted to coach tens of 1000’s of employees throughout dispersed areas. Their L&D group used Adobe Studying Supervisor to combine AI-powered content material suggestions into their platform, surfacing probably the most related supplies for every learner based mostly on position, exercise, and geography. The technique was nonetheless human-led: Tutorial Designers set the objectives and selected the assets. However AI helped route that content material extra intelligently, decreasing administrative overhead by 20% whereas growing engagement throughout the community.

Within the healthcare sector, a number one prosthetics producer confronted the problem of training each clinicians and sufferers at scale. By consolidating a number of platforms into Adobe Studying Supervisor, they had been in a position to ship personalised certification pathways powered by AI—matching content material to every learner’s position and want. With human oversight guiding program design, AI performed a supporting position: fine-tuning search, customizing supply, and surfacing the correct studying on the proper time throughout greater than 900 clinics.

In each circumstances, the story wasn’t about changing individuals—it was about empowering them. AI helped prolong attain, pace up supply, and personalize at scale whereas letting human specialists deal with high quality, context, and care.

What are a few of the AI-focused options that organizations ought to have on their must-have checklist when on the lookout for a brand new Studying Administration System? How can these functionalities personalize studying and enhance engagement?

It is tempting to chase a guidelines of AI options, however the true alternative lies in how AI is embedded all through the training expertise, not simply in a single device or workflow. The most effective LMS platforms do not bolt AI on the aspect; they use it to speed up content material creation, personalize studying paths, help expertise progress, and streamline operations—all with out disrupting trusted processes.

Organizations ought to search for options that easy the transition from recruitment to onboarding, serving to new hires rise up to hurry shortly via automated, role-aware journeys. AI can help learners in figuring out talent gaps, planning their careers, and monitoring progress with minimal friction. Instruments like headless supply and open APIs help seamless integration with enterprise methods whereas enabling deeply branded experiences.

AI-enhanced search and suggestion options assist floor related content material, whereas conversational instruments (like an AI buddy or coach) provide microlearning moments and context-sensitive help. Peer-based suggestion fashions, refreshed catalogs, and dynamic studying paths assist keep relevance over time.

Let’s use the identical hypothetical healthcare buyer, Ops Labs. They applied AI-powered seek for the medical doctors. As you will notice within the picture beneath, if a consumer sorts «Well being Informatics Basis», the system understands the time period’s «Well being Informatics» because the extra necessary key phrases, and search outcomes will present all related programs that embody fundamentals or fundamentals of «Well being Informatics».

Engagement is additional pushed by gamification, social recognition, and user-generated content material, making a two-way studying tradition. And for directors, integrations with HRMS, efficiency methods, and highly effective knowledge visualization instruments enable for real-time perception into studying software and enterprise affect.

Finally, AI’s worth in an LMS is not in its novelty—it is in how quietly and successfully it helps individuals, from learners to L&D leaders, at each flip.

How do you assume the position of generative AI in studying will develop or evolve within the coming years?

Within the close to future, generative AI will not simply assist create content material—it’s going to keep and evolve it, turning into a sort of co-author and silent editor-in-residence. Think about an AI that is aware of each course you have ever launched, opinions your outdated supplies, and quietly suggests updates based mostly on rising expertise frameworks, enterprise technique shifts, and even breaking information. Your studying library stays present with out you lifting a finger.

We’re additionally on the cusp of extra proactive studying brokers—instruments that monitor context (your calendar, a headline, a product recall) and floor just-in-time coaching earlier than a vital assembly. Mix that with a forest of clever assistants embedded in your ecosystem, and L&D shifts from reactive to anticipatory.

Over time, generative AI will evolve right into a reflective design companion—one which helps learners develop, helps designers keep sharp, and helps organizations construct studying ecosystems which are as alive and adaptive because the individuals they serve.

Wrapping Up

We might wish to thank Dr. Allen Partridge for shedding extra mild on the potential of agentic AI in studying and the way the correct LMS can rework L&D experiences. If you would like to study extra about Adobe’s AI capabilities, try their ultimate list of features.