Brandon Hall Group and Litmos Share Strategies for Closing the L&D GenAI Skills Gap

Mar 13, 2025 | AI, Articles

Key Takeaways:

  • Carefully assess the specific needs and pain points of your L&D team before implementing GenAI, ensuring tailored solutions that address key challenges effectively.
  • Start with simpler projects to demonstrate quick wins and build confidence in GenAI implementation, allowing for the identification and resolution of potential issues before scaling up.
  • Establish robust governance structures and ensure continuous human oversight for responsible AI usage, aligning AI policies and practices with organizational values and regulatory requirements.
  • Focus on the needs of learners and remain open to innovative ideas and technologies in AI-driven learning initiatives to ensure relevance, engagement, and effectiveness in the learning experience.

Generative AI (GenAI) is revolutionizing corporate learning, offering vast potential to transform how organizations train and develop their employees. While many Learning and Development (L&D) teams are still in the early stages of understanding and integrating GenAI, the technology’s impact is expected to be significant.

According to research from Litmos and Brandon Hall’s recent eBook, “Closing the Generative AI Knowledge Gap,” 89% of organizations expect GenAI to significantly impact L&D in the next year, more than any other human capital function. Comfort with AI-generated content has also apparently risen from 22% to 59% in the last year, indicating growing acceptance and potential of GenAI in the workplace.

With these trends in mind, what can L&D leaders do to stay ahead of the curve and prepare their workforce for whatever is next in GenAI?

To prepare for the future of learning, “Closing the Generative AI Knowledge Gap” explores concrete steps that organizations can take to integrate generative AI into their L&D strategy. This article shares key highlights from the eBook. If you’re looking to deepen your GenAI L&D strategy, read the full eBook here.

Best Practices for Integrating Generative AI in Corporate Learning

Here are some key takeaways that highlight the essential steps and considerations for effectively integrating GenAI into your learning programs:

1. Assess Current Needs and Identify Pain Points

Before diving into GenAI, it’s crucial to understand your organization’s specific L&D needs and the pain points that this evolving technology can address.  An initial assessment helps align GenAI solutions with real business challenges, ensuring that it is used effectively and efficiently. By focusing on specific pain points, organizations can prioritize their GenAI initiatives and allocate resources more strategically.

Collaborate Across Departments

Successful integration of GenAI in corporate learning requires collaboration across departments, such as IT, HR, and L&D. These teams should work together to ensure that GenAI learning solutions are well-integrated and aligned with organizational goals. Taking this holistic approach to AI adoption can enhance the overall impact of the solutions you implement, by ensuring that they are comprehensive and address the needs of everyone who engages with them.

3. Upskill the L&D Team

An upskilled L&D team can better understand and implement GenAI solutions, leading to more innovative and effective learning programs. Training L&D on relevant GenAI tools and use cases can be done in a variety of ways, from workshops to online courses, to hands-on projects. Investing in the development of your L&D team ensures that they are equipped to handle the complexities and opportunities presented by GenAI.

4. Start Simple

Organizations should begin by applying GenAI to simpler learning projects, to demonstrate quick wins and build confidence. Starting small allows for the identification and resolution of potential issues before scaling up to more complex projects. This approach also helps in gathering valuable feedback from learners and stakeholders, which can be used to refine and improve AI-driven learning initiatives.

5. Robust Governance and Human Oversight

Implementing robust governance structures and maintaining human oversight are essential for responsible GenAI adoption. This includes setting clear guidelines for AI usage, ensuring data security, and addressing ethical considerations and any potential biases that AI algorithms could perpetuate. Robust governance ultimately builds trust by helping organizations use AI ethically and effectively, ensuring that AI policies and practices are aligned with organizational values and regulatory requirements.

6. Leverage Existing Vendors

Organizations should consider leveraging existing vendors and partnerships to facilitate the adoption of GenAI. This can help in reducing the time and resources required to implement GenAI solutions, as well as in accessing specialized expertise and support. By working with established vendors, organizations can benefit from their experience and best practices, making the integration process smoother and more efficient.

7. Stay Learner-Focused and Open to Innovation

While embracing GenAI, it is crucial to remain learner-focused and open to innovation. This means continuously gathering feedback from learners and stakeholders to ensure that the learning experiences are relevant, engaging, and effective. Being open to new ideas and technologies can help organizations stay ahead in trends in corporate learning. But keeping learners in the loop helps organizations ensure that any AI-driven learning initiatives meet the needs and expectations of their employees.

By following these key takeaways and best practices, L&D teams can effectively integrate generative GenAI into corporate learning, enhancing the learning experience and driving better outcomes. For deeper insights and strategies from Brandon Hall Group and Litmos, download your copy of Closing the Generative AI Knowledge Gap today!