AI and the Power of Efficiency

Picture a professional development workshop, a corporate training event, or imagine sitting down to take in another HR training. What comes to mind? For many of us, it’s a feeling that we’re being taken away from the “real work” that demands our time, energy, and focus. These feelings only increase after clicking through the fifty slides and repetitious quiz questions. Setting aside the learning outcomes for a moment, what it doesn’t feel like is an efficient and effective use of time. 

In summary, traditional corporate training methods often fall short. They are too generic, time-consuming, and remain disconnected from day-to-day work. That's why more organizations are turning to artificial intelligence (AI) to reshape learning from a static requirement into a dynamic and efficient experience.

One thing we believe is that AI shouldn’t be about replacing people. Instead, it’s about enhancing potential by delivering learning that’s smarter, faster, and more aligned with real business needs. Let’s focus on these three areas in thinking about AI and the power of efficiency. 

1. Learning that’s smarter

   One of the biggest barriers to effective workplace learning is relevance. As we covered in the previous blog post, most training programs offer one-size-fits-all content that doesn’t consider individual goals, roles, or skill levels. AI solves this by analyzing employee data (skills, behavior, performance, preferences, etc.) and building a tailored learning path for each person.

   A result of this approach is that it leads to greater efficiency over time. Each person is learning smarter in a more tailored approach that fits their needs to develop in specific ways and learn targeted skills. This also allows for training teams in specific ways that best fit their unique role within the organization. 

2. Learning that’s faster

   Again, think back to a corporate training session. How much of the content was necessary to learn that day? How much was designed to bank knowledge for some future (often faraway) point where you could retrieve the information? What’s the typical result? A lack of return on learning, the need for re-learning, and inefficiency. In addition, we’re asking people to sit through hours of training for 10 minutes of actionable content buried in the middle somewhere. 

   AI handles repetitive tasks like tracking progress, recommending content, or identifying gaps. Instead of needing lots of training time and repetition of workshops, it frees up time for managers and leaders to focus on mentorship, collaboration, and culture building.
   

3. Learning that’s more aligned with real business needs

   AI-powered platforms can respond to business priorities as they shift. Imagine your sales team is preparing for a product launch, and training needs to pivot fast. AI can automatically adjust learning paths, push relevant materials, and even assess performance gaps before they affect results. It’s no longer about annual training plans. Instead, it’s about continuous, agile learning that evolves with your business.

   In addition, with traditional training, it’s often hard to tell what’s working and what’s not. AI changes that with real-time analytics that show:

   • Who’s progressing or falling behind

   • What skills are trending across departments

   • Where performance improvements are tied to learning

These insights allow HR leaders, team managers, and L&D professionals to make data-driven decisions and prove the ROI of learning efforts. Learning becomes embedded into the flow of work, aligned with strategic goals, and tailored for impact.

Final Thought

Organizations that use AI to deliver efficient, personalized learning are building more agile, skilled, and engaged teams. In a world where time is scarce and talent is everything, smart learning is smart business.