DevLearn 2025: Key Takeaways and What They Mean for Your LMS and TMS Strategy

DevLearn 2025 confirmed something L&D teams have been quietly sensing for a while: the era of “does it have AI?” is over. The eLearning Guild’s flagship conference, held November 12 to 14 at the MGM Grand in Las Vegas, pushed the conversation firmly into execution territory. If you couldn’t attend, or if you came back with a notebook full of highlights and no clear plan, this recap breaks down the sessions and themes that matter most for your learning technology decisions in 2026.

What Was DevLearn 2025 Actually About, and Why Should L&D Leaders Pay Attention?

DevLearn remains one of the most reliable indicators of where corporate learning is heading. It is where ideas are tested, experiments are shared, and learning leaders gather to make sense of what is changing and what truly matters. The 2025 edition delivered on that reputation. The central message, drawn from sessions, keynotes, and floor conversations alike, was surprisingly unified: the organizations that will win in 2026 are not the ones with the most tools. They are the ones using tools with the most discipline.

Dr. Keith Keating, Chief Learning and Development Officer at BDO Canada, opened the conference with a keynote that emphasized transforming learning into a strategic powerhouse while exploring how AI, chatbots, and smart assistants can create a future-ready learning ecosystem without losing the human touch. Yulia Barnakova from Accenture followed on day two, addressing how L&D teams can lead rather than react in an AI-saturated workplace. Both keynotes reinforced a consistent thread throughout the event: L&D’s value is proven through measurable performance outcomes, not course completion rates.

For anyone responsible for LMS or TMS strategy, DevLearn 2025 was less of a product showcase and more of a strategic reset. The questions that kept coming up were not about features. They were about whether the technology in use today is actually aligned with how performance gets built and measured in real organizations.

The AI Conversation at DevLearn 2025 Has Finally Grown Up

AI was everywhere at DevLearn again this year, but the conversation has matured. Last year’s common question was “does it have AI?” This year the focus shifted toward problem-specific queries: does AI genuinely improve this outcome? Even at DemoFest, the emphasis moved from “AI was used to do X” to “Y was accomplished with AI assisting in specific aspects.”

This is a meaningful change for teams evaluating learning platforms. When we talk to L&D operations managers who are mid-procurement on a TMS or LMS replacement, the early-stage excitement about AI often gives way to harder questions: does this actually reduce content development time? Does it improve scheduling efficiency? Does it help instructors personalize delivery at scale? DevLearn 2025 validated exactly that line of questioning.

One team built prompt templates to scale scenario creation and shift weeks of development into days. They used retrieval-augmented generation and AI-enabled search inside the LMS to support frontline workers. They also compared tools like GPT, Claude, and Gemini to determine which was best suited for different instructional tasks. That level of specificity was a consistent feature of the sessions that got the best reception this year.

For learning leaders, the takeaway is practical. Start with the work, not the technology. Identify where speed, consistency, or cognitive load create bottlenecks. Build small but durable AI workflows around those tasks. For TMS-focused teams, that might mean AI-assisted instructor scheduling, automated waitlist management, or AI-generated session briefs. The tool matters far less than the problem it is solving.

LMS Migration Pressure Is Real, and DevLearn 2025 Made That Very Clear

One of the most candid themes to emerge from DevLearn 2025 floor conversations was the pain of being locked into a learning ecosystem that no longer fits. Organizations are often locked into their current learning ecosystems. Large amounts of data and content represent significant investments. At conferences like DevLearn, teams discover authoring platforms and learning content management systems that would be tremendous steps forward. But they face the daunting challenge of migrating all that data. Too often, teams stay the course because the price of change seems too high.

The Cornerstone situation added urgency to this conversation. Cornerstone OnDemand is deprecating multiple LMS platforms they have acquired, forcing organizations to migrate. For many attendees, this was not a hypothetical risk. It was an active operational problem they had arrived at DevLearn 2025 hoping to solve.

In our experience working through LMS evaluation briefs, migration anxiety is one of the most underestimated barriers to good technology decisions. Teams will tolerate a genuinely inferior platform for years because the switching cost feels unquantifiable. DevLearn 2025 pushed more teams to start that conversation earlier rather than waiting until deprecation forces the issue.

For training teams running significant ILT programs, migration complexity extends beyond content. Session histories, instructor records, compliance logs, resource bookings, and cost data all need to move. This is where a dedicated training management system becomes structurally important. Platforms like Training Orchestra, Arlo, Accessplanit, and SimpliTrain are designed to carry that operational data independently of content delivery systems, which makes LMS migrations significantly less disruptive when training operations infrastructure is already separated.

Performance Support and the Shift Away from Course-First Thinking

DevLearn 2025 sessions addressed moving from one-off courses to continuous workforce performance support. This was one of the clearest programmatic signals of the conference, showing up across tracks focused on instructional design, AI implementation, and learning measurement. The course-first model, where L&D defaults to building a module whenever a performance gap appears, is increasingly being challenged by both the data and the practitioners who work with it daily.

AI-powered tools can now deliver truly personalized, human-like learning experiences, offering instant feedback, realistic skills practice, and adaptive learning paths, without increasing workload or budget. Berlin Packaging’s case study, presented by Learning Pool, showed measurable productivity gains from a team that combined in-the-flow-of-work learning with AI-powered documentation and real-time guidance, moving away from scheduled training events as the primary delivery mode.

What this means practically for LMS and TMS strategy is worth thinking through carefully. If your learning technology stack is still built around enrolling people into courses and tracking completions, you are likely measuring the wrong thing. The more valuable metric is whether people are performing better in the moments that count. That shifts the evaluation criteria for both your LMS, which needs to support non-linear, on-demand access, and your TMS, which needs to handle resource scheduling and cost tracking for the ILT and blended programs that still form the backbone of compliance, technical, and skills training.

How DevLearn 2025 Themes Should Reshape Your Training Management System Priorities

The TMS category was well represented at DevLearn 2025 in practical terms. Training Orchestra was present at Booth 523, demonstrating how to reduce the costs of instructor-led and virtual classroom training by automating and optimizing training operations, including session scheduling, resource management, instructor collaboration, cost tracking, and reporting through a Training Resource Management System.

The presence of TMS vendors at DevLearn reflects a wider recognition that training operations are a distinct discipline from content delivery. As organizations run larger volumes of ILT and vILT programs, the spreadsheet-and-email approach to scheduling and resource management breaks down in ways that are expensive and hard to quantify. DevLearn 2025 surfaced this clearly through its sessions on data, measurement, and proving learning’s business value.

Here is how the major DevLearn 2025 themes map to TMS capability priorities:

Platforms like SimpliTrain, Training Orchestra, Arlo, and Accessplanit each address different segments of this picture. SimpliTrain and Arlo tend to serve commercial training providers managing open enrollment and multi-session programs. Training Orchestra and Accessplanit are stronger fits for large enterprise L&D teams running complex ILT operations. The DevLearn 2025 conversation reinforces that choosing between them should start with your operational complexity, not feature lists.

Accessibility and Learning Science Got Serious Attention This Year

Sessions at DevLearn 2025 addressed how to identify and fix the most common accessibility mistakes that cause courses to fail accessibility standards. Others explored designing inclusive eLearning experiences that foster proactive educational inclusivity. This was not fringe programming. Pre-conference workshops on accessibility were among the better-attended sessions, reflecting growing regulatory and organizational pressure to build learning experiences that work for everyone.

Clark Quinn’s episode from the DevLearn Unwrapped podcast series offered an important reminder that the science of how people learn has not changed. A program succeeds when it aligns with how the brain takes in information, forms memories, and turns insight into behavior. Clark outlined why spaced learning remains one of the most reliable strategies for retention and transfer. He also cautioned against misusing terms like microlearning and learning in the flow as shorthand for convenience rather than cognitive design.

In our view, this is where many L&D technology evaluations go wrong. Teams prioritize UX and content authoring features without asking whether the underlying delivery architecture supports spaced practice, retrieval, and application in context. For TMS buyers, the equivalent question is whether your scheduling system can support the kind of multi-session, spaced delivery that learning science actually recommends, rather than defaulting to single-event formats because they are easier to coordinate.

What Does DevLearn 2025 Mean for Your LMS and TMS Buying Decisions in 2026?

DevLearn 2025 was a useful calibration point for anyone in the middle of a platform evaluation. The learning technology trends that surfaced at this conference are not theoretical. They are already reshaping what buyers expect from their systems and what vendors are building toward.

The organizations that will succeed in 2026 are not the ones that adopt the most tools. They are the ones that take a disciplined approach to performance, empower their teams with clarity and confidence, and use AI in ways that support real capability building.

For LMS buyers, that means deprioritizing course catalogue breadth and asking harder questions about analytics depth, AI functionality that actually saves time, and how well the platform supports non-course-based performance support. For TMS buyers, the DevLearn 2025 themes point toward platforms that reduce the operational burden of ILT scheduling, generate cost and ROI data by default rather than as an add-on, and integrate cleanly with whatever LMS you are running or planning to run.

The devlearn conference recap from this year also reinforces one broader point: the gap between L&D teams that treat technology as infrastructure and those that treat it as strategy is widening. Teams in the second group are building durable workflows around AI, separating their content delivery from their training operations, and measuring learning in terms of performance change. The rest are still justifying their existence with completion rates.

The L&D technology 2025 insights from DevLearn suggest that the next eighteen months will push more organizations toward operational maturity. Whether you are evaluating an LMS, a TMS, or both, the standard is higher than it was at this same conference two years ago.