DEDICATED TO THE L&D TEAMS

Artificial Intelligence in L&D Strategy and Processes

A mature approach, beyond the current hype and myths associated with A.I. Support in understanding, planning, and implementing custom automation solutions.

The A.I. Revolution in L&D: Embracing the Future

The training and development industry is experiencing a long-anticipated transformation, driven by the power of generative AI. As we navigate this new era, it’s essential to understand AI’s impact and potential in corporate training:

  • The A.I. market in education is expected to grow from approximately $3.6 billion in 2023 to about $73.7 billion by 2033, reflecting a compound annual growth rate (CAGR) of 35.10% during this period. (source: Executive Networks)
  • 95% of L&D professionals believe A.I. will significantly impact their work in the next five years (Source: LinkedIn Learning Report 2024).
  • Currently, 42% of L&D departments primarily use A.I. for content creation and curation, while 31% use it for personalized learning pathways (Source: ATD Research 2024).

Avoiding A.I. Pitfalls in L&D

As A.I. reshapes the L&D landscape, it's essential to avoid the main myths and pitfalls:

  • "It's just a trend"

  • "Delegating everything"

  • "Out-of-the-Box Expectations"

The Trap: "It's Just a Passing Trend"

Dismissing A.I. as a passing trend or categorizing it as a "nice to have" rather than a necessity can leave your L&D function behind in innovation and efficiency. What might now seem "too early" will soon become an immense and hard-to-ignore opportunity cost.

No technology or change that brings so many benefits simply disappears. History shows that they are rather systematically implemented, eventually reshaping industries or even creating new ones.

There are many challenges in L&D activities that we haven't been able to address with relevant solutions until now, and where A.I. can help. For example:

  • real and deep personalization of learning journeys
  • scaling individual support for learners and other high-impact but resource-intensive practices

  "It's just a trend"    

The Trap: "It's Just a Passing Trend"

Dismissing A.I. as a passing trend or categorizing it as a "nice to have" rather than a necessity can leave your L&D function behind in innovation and efficiency. What might now seem "too early" will soon become an immense and hard-to-ignore opportunity cost.

No technology or change that brings so many benefits simply disappears. History shows that they are rather systematically implemented, eventually reshaping industries or even creating new ones.

There are many challenges in L&D activities that we haven't been able to address with relevant solutions until now, and where A.I. can help. For example:

  • real and deep personalization of learning journeys
  • scaling individual support for learners and other high-impact but resource-intensive practices

  "Delegating everything"    

The Trap: "No Skills Needed—A.I. Will Handle It"

Amidst the A.I. enthusiasm wave, there's a concerning trend to overvalue A.I. capabilities while underestimating L&D expertise, particularly in content creation and learning design – the areas where A.I. adoption is highest.

Relying solely on A.I. prompt expertise, while neglecting continuous L&D skill development, creates a dangerous competency gap that will become increasingly apparent as A.I. tools evolve.

Success with A.I. in L&D requires a deep understanding of learning processes and principles. Just as a symphony conductor needs to understand music theory to lead an orchestra, L&D professionals need comprehensive knowledge to orchestrate A.I. tools effectively. Key considerations:

  • the quality of A.I. outputs directly correlates with the expertise level of the professional guiding it
  • integration of A.I. tools should enhance, not replace, your L&D toolkit and methodologies

  "Out-of-the-box expectations"    

The Trap: "Out-of-the-Box Expectations"

The A.I. hype has led to unrealistic expectations about plug-and-play implementation. Many L&D teams extrapolate scaled results based on isolated A.I. demos, without considering systemic integration needs.

Off-the-shelf A.I. won't seamlessly transform your L&D. Generic tools like ChatGPT have limited functionality. Achieving impact requires custom, strategically-aligned A.I. integrated with your processes and objectives.

Just as an instructional designer cannot rely solely on a basic chatbot, the technology must be carefully tailored and orchestrated by professionals who deeply understand both the A.I. capabilities and your organizational context. Key considerations:

  • off-the-shelf A.I. tools provide limited functionality compared to custom, integrated solutions
  • successful A.I. adoption requires aligning the technology to your unique L&D workflows, and desired outcomes
  • integration of A.I. should be a thoughtful, planned process - not an improvised response to industry hype

   COMPLETED EVENT   

A.I. IN ACTION: 

Real Cases in Learning & Development

January 17, 10.00 - 11.00 (CET), in English

Join us to explore concrete examples, discuss practical outcomes, and see how AI can enhance L&D programs in realistic, achievable ways.

  COMPLETED EVENT  

A.I. IN ACTION:

Real Cases in L&D

January 17, 10.00 - 11.00 (CET), in English

Join us to explore concrete examples, discuss practical outcomes, and see how AI can enhance L&D programs in realistic, achievable ways.

Key L&D Areas Transformed by A.I.

  • Conversational, individualized support for learners throughout their entire learning journey. For decades, we've known that the most effective way to develop a skill or mindset is through spaced guided practice, reflection, feedback, and support. However, this approach was rarely implemented due to the high costs or the challenge of assigning a personal coach or trainer to each learner. Now, AI agents, trained in specific domain expertise, make this possible at scale.
  • Instructional Design Process Enhancements. Accelerating key steps and activities, reducing learning curves, and bridging temporary gaps in specific skills or capabilities. Generating initial drafts for learning program structures, storyboards, content, and quizzes. Supporting the creation of instructional videos, interactive learning experiences, and localized e-learning programs.
  • Metrics, Data Gathering, and Adaptive Systems. With the advent of new A.I. technologies, we can now design and deliver learning experiences based on real-time, data-driven decisions. When implemented systematically, these advancements enable a higher level of integration and consolidation across technologies and IT systems, simplifying processes and creating a seamless, unified experience.

Key L&D Areas Transformed by A.I.

  • Conversational, individualized support for learners throughout their entire learning journey. For decades, we've known that the most effective way to develop a skill or mindset is through spaced guided practice, reflection, feedback, and support. However, this approach was rarely implemented due to the high costs or the challenge of assigning a personal coach or trainer to each learner. Now, AI agents, trained in specific domain expertise, make this possible at scale.
  • Instructional Design Process Enhancements. Accelerating key steps and activities, reducing learning curves, and bridging temporary gaps in specific skills or capabilities. Generating initial drafts for learning program structures, storyboards, content, and quizzes. Supporting the creation of instructional videos, interactive learning experiences, and localized e-learning programs.
  • Metrics, Data Gathering, and Adaptive Systems. With the advent of new A.I. technologies, we can now design and deliver learning experiences based on real-time, data-driven decisions. When implemented systematically, these advancements enable a higher level of integration and consolidation across technologies and IT systems, simplifying processes and creating a seamless, unified experience.

How Can We Help

A.I. Awareness Training Programs

Help your employees—whether in L&D or other roles—understand A.I. principles, mechanisms, and use cases. These programs reduce tech-related anxiety and promote higher adoption rates, empowering your team to embrace A.I. confidently.

Custom A.I. Workflows Implementation

Collaborate with us to identify the exact areas of your L&D cycle that can benefit from A.I. enhancement. We will design tailored workflows to effectively augment those processes and achieve your specific goals.

Start with a guidance discussion.

No strings attached. Just exploring the options.

The abundance of news about various A.I. advancements can be overwhelming, potentially delaying the analysis and adoption process and resulting in significant opportunity costs for your L&D function. That’s why we offer a free calibration and scenario-planning discussion to explore different technological options tailored to your context.

>