Why HR Is Still Using LinkedIn Learning (and the 3 Reasons They Shouldn't)
LinkedIn Learning occupies a strange position in the enterprise L&D market. Utilization is consistently low — industry surveys regularly find that fewer than 20% of licensed employees use the platform in any given month. Completion rates on individual courses hover around 12-15% industry-wide. And yet the platform renews. Year after year, budget cycle after budget cycle.
This isn't irrationality. It's rational behavior under specific organizational constraints. Understanding why LinkedIn Learning persists — really understanding it, not dismissing it — is the first step to making better learning investment decisions.
Why HR Keeps Renewing
Procurement Trusts Microsoft
LinkedIn Learning is owned by Microsoft and bundled with Microsoft 365 enterprise licenses in most procurement tiers. The purchasing decision for many organizations isn't really "should we buy LinkedIn Learning?" — it's "should we unbundle Microsoft 365?"
That's a much harder question. It touches vendor management, IT relationships, contract complexity, and executive relationships with Microsoft account teams. The path of least resistance is to keep what's already in the bundle and tell the L&D team they have a platform.
This is a procurement reality, not a reflection of the platform's effectiveness. Organizations with tight Microsoft relationships aren't making a learning quality decision when they renew — they're avoiding procurement complexity.
It's "Good Enough" as a Checkbox
Corporate learning budgets often serve a compliance function as much as a development function. "We have a training platform" satisfies board questions about talent development, regulatory inquiries about skills investment, and employee expectations set during recruiting.
LinkedIn Learning is visually professional, has a recognizable brand, and can generate utilization reports. For organizations where L&D is a checkbox rather than a strategic function, those attributes are sufficient. The platform satisfies the question "do we have learning and development?" without requiring a more substantive answer.
This isn't cynical — it accurately describes the priority level at which many organizations fund L&D. When talent development isn't a strategic differentiator, "good enough" is genuinely good enough.
L&D Teams Don't Have Bandwidth to Switch
Platform migrations are expensive in time and organizational capital. A switch requires evaluation, procurement process, data migration, user communication, admin retraining, and the inevitable first-year adoption dip as users learn new navigation. For a small L&D team already stretched across compliance training, onboarding, and manager development programs, that migration cost is prohibitive.
Inertia is a real force, and it's most powerful when the status quo isn't dramatically bad. LinkedIn Learning isn't dramatically bad. It's fine. Fine is very hard to justify replacing when the replacement cost is high and the risk of a failed migration is real.
Callout: Catalog size is not a learning strategy. Having access to 22,000 courses creates the impression of comprehensiveness. In practice, it creates choice paralysis — users open the platform, face an overwhelming menu, and close the tab. Breadth substitutes for curation and creates the illusion of investment without the substance of it.
The 3 Real Problems
None of the reasons above are criticisms of LinkedIn Learning as a product. They're descriptions of why it persists despite structural limitations that are worth understanding clearly.
1. Passive Consumption Doesn't Change Behavior
LinkedIn Learning's core content format is video-based instruction: a subject matter expert teaches a concept in a well-produced recording. The learner watches. The learner may take notes. The learner completes the course.
This format has a legitimate use case: knowledge transfer. If you need to understand how Kubernetes works, or what the difference between EBITDA and EBIT is, or what the five stages of design thinking are, a well-made video lecture is an efficient delivery mechanism. You can pause, rewind, and consume at your own pace.
What it does not do: change behavior. And behavior change is the actual goal of almost every professional development investment.
Research from the Association for Talent Development consistently shows that training with no practice component has near-zero transfer to on-the-job behavior at 90 days. The "forgetting curve" — Ebbinghaus's finding that approximately 70% of new information is forgotten within 24 hours without reinforcement — applies directly to passive video content.
Learning science research on skill acquisition is clear: skills develop through deliberate practice with feedback, not through observation. Watching a video about giving difficult feedback does not make you better at giving difficult feedback. Practicing the behavior, receiving feedback on your performance, and reflecting on the gap between intended and actual impact — that's what changes behavior.
LinkedIn Learning is genuinely good at knowledge transfer. It is structurally unsuited to behavior change, because behavior change requires practice infrastructure that video catalogs don't provide.
2. Catalog Breadth Creates Choice Paralysis
With 22,000+ courses, LinkedIn Learning offers comprehensive coverage of almost any professional topic. This is often cited as a major advantage. In practice, it's a significant engagement problem.
Barry Schwartz's research on the paradox of choice — and subsequent replications in organizational contexts — shows that increasing the number of options can actually decrease engagement and satisfaction. When users face too many choices, the default response is often to choose nothing.
A typical LinkedIn Learning user opening the platform for self-directed learning faces: a homepage recommendation algorithm that may or may not reflect their actual needs, a search interface that returns hundreds of results for any professional topic, no clear pathway from "where I am now" to "where I need to be," and no mechanism for distinguishing which course out of twelve options on negotiation skills is actually best for their specific context and role.
Productivity research on decision fatigue suggests that meaningful choices require low cognitive overhead. A platform that surfaces 47 courses on "leadership" and asks the user to self-select is not providing learning design — it's providing a library card.
Curation beats breadth for learners at every level. A personalized recommendation of three specifically relevant learning moments based on your role, goals, and current skills challenges creates more engagement than access to 22,000 courses where you might, if you search effectively, find three relevant ones.
3. No Personalization Means Low Completion
The third problem compounds the second. LinkedIn Learning's personalization is primarily algorithmic recommendation — similar to what you've watched before, popular in your industry, trending in your role category. This is better than random selection, but it's a long way from genuine personalization.
Genuine personalization in learning requires understanding the learner's specific role context, their current skill gaps (not self-reported, but assessed), their learning history and what formats engage them, their near-term work challenges where skill application is likely, and their goals over a relevant time horizon.
The completion rate problem — well documented across all video-based learning platforms, not just LinkedIn Learning — has structural causes. Completion requires sustained motivation. Sustained motivation requires relevance. Relevance requires personalization that most catalog platforms don't provide.
Management skills development illustrates this clearly. A manager of a five-person engineering team in a startup context, dealing with underperformance conversations for the first time, has sharply different learning needs than a VP of Engineering managing eight team leads at a Series C company. A platform that offers both the same "Managing People" course is not being personalized — it's being scalable.
Callout: Low completion isn't a motivation problem. It's a relevance problem. When learning content isn't specific enough to the learner's actual situation, dropping off is the rational response. The solution isn't better UX or streak mechanics — it's specificity.
What LinkedIn Learning Is Actually Good For
This isn't an argument to cancel your LinkedIn Learning license. It's an argument to use it for the jobs it does well, and to look elsewhere for the jobs it doesn't.
LinkedIn Learning is well-suited for: just-in-time knowledge lookup ("I need to understand pivot tables before my meeting"), broad awareness exposure for learners new to a domain, onboarding knowledge transfer for concepts that are genuinely informational rather than behavioral, and building familiarity with a topic before a more intensive learning intervention.
It is not well-suited for: behavior change in practiced skills, personalized development against specific role competencies, communication or leadership skills that require practice and feedback loops, or building sustained learning habits in a workforce that isn't intrinsically motivated to self-direct.
The right question isn't "LinkedIn Learning: yes or no?" It's "what job is each tool hired to do, and does this tool actually do that job?" A catalog of video content and a behavior-change learning system are different tools for different problems. Using one to solve the other's job produces predictable results: well-stocked libraries that nobody uses.
The organizations that develop learning as a genuine competitive advantage use multiple tools for clearly delineated purposes — and measure behavioral outcomes, not platform utilization.
If behavior change — not catalog access — is the outcome you're building toward, see how Omie approaches it for teams. Or run a skills scan to understand where the gaps actually are before deciding what tools to deploy.