I know this might trigger those of us who have been in L&D a long time, but it’s time to face the music: frameworks like ADDIE, Kirkpatrick, and Gagne’s could soon be obsolete. With AI stepping up, emerging learning platforms are set to handle everything inherently, automating the heavy lifting while letting us focus on one thing—outcomes.
According to a recent Gartner survey, 85% of L&D leaders say there’s a surge coming in skills development needs, thanks to AI and digital trends.
Here’s what’s driving the shift to outcome-driven, agile learning:
Learning tied directly to earning
Embedded in day-to-day workflows
Hands-on experiential learning > theory
Just-in-time microbursts
Personalized, dynamic pathways
Layered skills that build over time
AI = speed and scale like never before
Shared collective impact across the org
Are we finally done with the legacy models that don’t keep up with today’s needs? Or is there still life left in them? What do you think? Would love to hear where you stand!
Kimberley said:
This is a hot topic! I feel like while some models might be outdated, they do have foundational value. What do you think we should keep?
Great point! I think we can take the core principles of these models and adapt them to fit new tech and trends. Balance is key.
ClickCraftCrew1 said:
I totally agree! AI is changing the game, but there’s something to be said for tried-and-true methods. They can still inform our practices.
Exactly! It’s about blending the old and new to create effective learning experiences.
ethan said:
I think the key is flexibility. We need to be able to pivot and adapt to new technologies while not losing sight of effective learning principles.
Absolutely! It’s all about finding that balance between innovation and proven strategies.