More organizations are experimenting, piloting, and implementing AI in one form or another in their learning and development programs. Surprisingly, however, one-third of companies aren’t using AI for learning at all, according to Brandon Hall Group™ research. This points to a growing divide between organizations embracing AI and those hanging back.
As a Brandon Hall Group™ Smartchoice© Preferred Provider, AllenComm has observed firsthand how this hesitation impacts organizational effectiveness. The cost of waiting isn’t just about falling behind technologically or appearing out of step with other employers; it’s about missing crucial opportunities to accelerate learning, enhance engagement and drive business results.
Reality Check: Barriers to AI Adoption
Brandon Hall Group’s research shows that 59% of organizations cite data privacy concerns and lack of AI expertise as their top challenges. For larger employers, privacy concerns soar to 80%. While these concerns are valid, they shouldn’t paralyze progress.
The Hidden Costs of Inaction
Organizations postponing AI adoption face several risks:
- Lost efficiency: Manual content creation and curation consume valuable resources that could be redirected to strategic initiatives.
- Decreased competitiveness: While you wait, competitors are using AI to deliver more personalized, engaging learning experiences.
- Talent development gaps: Without AI-powered skill assessments and personalized learning paths, organizations struggle to meet rapidly evolving skill demands.
- Resource drain: Traditional approaches to content development and translation often require more time and budget than AI-assisted methods.
Understanding AI Categories in L&D
From an L&D perspective, AI adoption falls into two distinct categories, each serving different organizational needs:
AI-powered Design & Development
This category focuses on the creation and enhancement of learning content:
- Content curation and creation
- Media development (audio, video, animation)
- Translation
- Voice interaction
AI-Driven Learning Solutions
These solutions directly impact the learning experience and can be evaluated by implementation complexity:
Easiest to Implement:
- Real-time assistance
- Reference and knowledge management
Most Complex:
- Personalized paths and dynamic guidance
- Performance tracking and feedback
- Enhanced collaboration
AllenComm’s AI Solutions
For AI-powered design and development, AllenComm offers various AI tools for content curation, media development, and more to accelerate and improve the quality of your custom learning solutions. These capabilities are available now and have been successfully incorporated into dozens of programs.
For AI-driven learning, while many next-gen LMS platforms and learning apps offer AI features, the most effective approach often involves integrating with your company’s existing IT ecosystem. Many organizations already have powerful AI tools at their disposal. AllenComm provides advisory services for tech stack optimization and AI adoption, plus expertise in creating, testing and rolling out AI agents.
Current AI Initiatives at AllenComm
- Works with a large pharmaceutical company to map out an 18-month roadmap for piloting and adoption of AI-driven learning. This staged program progresses from algorithm-based personalization to AI-driven recommendations and culminates in real-time feedback during learner practice.
- Collaborates with a large healthcare organization to implement AI-driven, adaptive learning that better meets the needs of medical doctors working on their continuing medical education, with a target of reducing training time by 40%.
- Develops AI-driven personalization features for custom learning portals in manufacturing and IT-certification programs for a high-tech client.
- Leads the integration of MS Copilot agents to extend learning solutions into the flow of work.
Moving Forward
The path to AI implementation doesn’t require an all-or-nothing approach. The key is starting with clear use cases that align with business objectives.
Getting Started
- Assess your current learning technology stack and identify gaps where AI could add immediate value
- Start small with proven AI applications in content development or curation
- Build internal expertise through pilot programs and targeted implementations
- Partner with experienced providers who can guide your AI journey
Organizations ready to explore AI implementation can participate in AllenComm’s MS Copilot testing programs, gaining hands-on experience while minimizing risk. The cost of waiting is clear — the question isn’t whether to implement AI in learning but how to do it thoughtfully and effectively.
Want to learn more about implementing AI in your learning programs? Contact AllenComm to discuss your specific needs and explore pilot opportunities.
