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Break the Cost Containment Mindset: Reinvent Learning Operations with AI

As agility, AI-powered learning, and workforce enablement become key competitive differentiators, corporate learning and development (L&D) is at an inflection point. The traditional cost-containment approach to learning operations is no longer sufficient. Instead, organizations must rethink and rewire their learning strategies to transform learning operations into a powerful competitive advantage.

The Evolution of Learning Organizations

Historically, learning organizations have evolved across the key dimensions of strategic focus, workforce enablement, change approach, learning operations, learning outputs, governance, and measurement. Each of these dimensions is shifting from a compliance-driven, siloed, and cost-focused model to an agile, data-driven, and integrated approach that aligns learning with business objectives.

A compelling parallel can be drawn from the evolution of supply chain management. Decades ago, retailers like Sears and Kmart focused solely on cost containment. Then, companies like Walmart and Amazon introduced data-driven, integrated supply chain systems that revolutionized the industry. Similarly, learning organizations must move beyond cost minimization and recognize learning operations as a strategic advantage.

One of the most significant shifts for learning organizations right now is in workforce enablement—moving from a purely human workforce to Human+AI collaboration. This transition is redefining what constitutes a skill, as AI is no longer just a tool but a peer in the workflow. Organizations must rethink how they train employees to work alongside AI, ensuring that human workers develop the wisdom and strategic thinking that AI alone cannot provide.

Learning Operations as a Competitive Advantage

Traditionally, learning operations were viewed as administrative functions focused on minimizing costs. However, leading organizations now recognize that learning operations can be a strategic enabler of business performance. Instead of treating learning as an expense, companies should view learning operations as an investment that enhances workforce readiness and innovation.

Driving transformation and embedding learning operations as a core component of business success requires connecting HR, L&D, and business teams around mutual goals that drive innovation, such as:

  • Building a Unified Skilling Infrastructure: A shared skills ontology ensures alignment across the organization, facilitates smoother talent mobility and workforce planning, and connects the learner experience with the employee experience.
  • Enabling Data as a Force Multiplier: Learning organizations should use data to not only track and show course completion but to drive insights that shape future strategy to more deeply align with business goals.
  • Leveraging AI & Automation: AI-powered tools can streamline learning processes, enhance knowledge retrieval, provide real-time performance support, and create more space for human creativity and curiosity.

Enabling a Connected, AI-Powered Learning Organization

A connected learning organization must move beyond traditional training approaches and embrace a broader, more integrated framework. Learning has to address different moments of need, from acquiring new skills to solving problems and adapting to change. Employees should not only consume learning content but actively engage in its creation, sharing insights and collaborating across the organization.

To enable a connected learning organization, leaders should focus on:

  • AI Integration Aligned to Moments of Learning Need: According to Mosher and Gottfredson’s Five Moments of Need, learning must support when people are learning something new and when they need to apply, troubleshoot, or adapt knowledge.
  • AI-Supported Learner Roles: Encouraging employees to moderate, curate, and contribute to the learning ecosystem. Rather than relying solely on L&D teams, organizations should empower employees to share expertise in real time through AI-enhanced peer learning.
  • AI-Powered Organizational Learning Roles: Identifying and supporting informal learning roles such as learning connectors (employees who naturally share knowledge across teams) and learning bridgers (those who connect disparate teams or disciplines to facilitate cross-functional learning).

The Future-Focused Learning Organization

To sustain a competitive edge, future-focused learning organizations must align learning strategies with business goals, adopt agile operating models, and leverage AI-driven personalization. Technology should enhance—not replace—the human element, reinforcing desired learning behaviors and business outcomes.

Future-focused learning organizations excel in five key functions:

  1. Strategy and Culture: The organization has an up-to-date strategy that aligns with where the enterprise is going.
  2. Operating Model and Structure: There is an efficient and effective operating model that enables the organization to fulfill its strategy and mission.
  3. Learning Execution: The organization offers the right learning experiences and services that are in line with the organization’s strategic direction and employee value proposition.
  4. Technology Stack: The organization leverages the right technologies to offer scale, efficiency, and a modern learner experience.
  5. Measurement and Innovation: The organization measures success compared to organizational expectations and industry benchmarks. It innovates and evolves with changing conditions.

Transforming Learning Operations: Unlocking Your Competitive Advantage

L&D is at a turning point. Organizations that embrace learning operations as a competitive advantage will be better positioned to navigate disruption, drive workforce agility, and accelerate innovation. Those that remain focused on cost containment risk falling behind.

Ready to leverage AI-powered learning, workforce enablement, and agile learning strategies? Partner with your MLS team today to drive competitive advantage through future-focused learning operations.

About the Authors

Matt Donovan
Chief Learning & Innovation Officer
Early in life, I found that I had a natural curiosity that not only led to a passion for learning and sharing with others, but it also got me into trouble. Although not a bad kid, I often found overly structured classrooms a challenge. I could be a bit disruptive as I would explore the content and activities in a manner that made sense to me. I found that classes and teachers that nurtured a personalized approach really resonated with me, while those that did not were demotivating and affected my relationship with the content. Too often, the conversation would come to a head where the teacher would ask, “Why can’t you learn it this way?” I would push back with, “Why can’t you teach it in a variety of ways?” The only path for success was when I would deconstruct and reconstruct the lessons in a meaningful way for myself. I would say that this early experience has shaped my career. I have been blessed with a range of opportunities to work with innovative organizations that advocate for the learner, endeavor to deliver relevance, and look to bend technology to further these goals. For example, while working at Unext.com, I had the opportunity to experience over 3,000 hours of “learnability” testing on my blended learning designs. I could see for my own eyes how learners would react to my designs and how they made meaning of it. Learners asked two common questions: Is it relevant to me? Is it authentic? Through observations of and conversations with learners, I began to sharpen my skills and designed for inclusion and relevance rather than control. This lesson has served me well. In our industry, we have become overly focused on the volume and arrangement of content, instead of its value. Not surprising—content is static and easier to define. Value (relevance), on the other hand, is fluid and much harder to describe. The real insight is that you can’t really design relevance; you can only design the environment or systems that promote it. Relevance ultimately is in the eye of the learner—not the designer. So, this is why, when asked for an elevator pitch, I share my passion of being an advocate for the learner and a warrior for relevance.
Heidi Milberg, Vice President

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