CLCamp26: The Future of Corporate Learning | Alphabees

Corporate Learning Camp 2026 in Hamburg is now history, but the discussions continue to resonate. Herwig Kummer from the CLC core team has summarized the thematic threads of the barcamp, formulating observations that extend far beyond the individual event. His analysis makes clear: the professional development industry is undergoing a profound transformation whose outcome remains uncertain.

For education leaders at universities, academies, and in companies, a closer look at the insights from CLCamp26 is worthwhile. The trends discussed there affect not only corporate learning in the narrow sense but organized professional development throughout the German-speaking world.

AI poses uncomfortable questions to established learning formats

That artificial intelligence is changing learning is not a new insight. What is remarkable about the discussions at CLCamp26, however, is the focus on the uncomfortable questions that AI poses to established structures. If an AI tutor can provide individualized learning support around the clock, what role do traditional in-person trainings still play? If knowledge is available at any time, what do learners still need to retain?

These questions challenge education leaders to question the justification for existing formats. This does not mean that in-person events will become obsolete. It means their function is shifting: away from pure knowledge transfer toward application, reflection, and social learning.

For organizations using Moodle as their learning platform, integrating AI tutors opens new possibilities. An intelligent learning companion can answer repetitive questions, identify knowledge gaps, and suggest individualized learning paths. Instructors and trainers thereby gain time for tasks that require human expertise: moderating complex discussions, providing feedback, and motivating learners.

Learning shifts from the course to the network

A second central observation from CLCamp26 concerns where learning takes place. The thesis is: learning no longer happens primarily in courses but in networks. This refers both to the social network of colleagues, experts, and mentors as well as the digital network of platforms, communities, and AI assistants.

For educational organizations, this shift has far-reaching consequences:

Formal courses become the starting point:

Instead of isolated learning units, offerings are needed that connect learners with further resources and contacts.

Informal learning gains importance:

Exchange in communities, a quick check with an AI tutor, or conversations with experienced colleagues complement structured professional development.

The learning platform becomes a hub:

Systems like Moodle are evolving from mere course containers to ecosystems that bring together various learning sources.

Education leaders who want to shape this development must think beyond the individual course. The question is no longer just: How do we convey knowledge? But also: How do we enable continuous learning in everyday work and study?

Corporate learning between identity crisis and realignment

Herwig Kummer speaks in his retrospective of an identity crisis in corporate learning. This diagnosis strikes a nerve, as many L&D departments and professional development providers are currently struggling with their positioning. The classic role as training provider is losing importance, while new tasks are not yet clearly defined.

At the same time, the situation can also be interpreted as a new beginning. Those who actively shape the changes can increase their relevance rather than lose it. Several directions of development are emerging:

• From training department to learning ecosystem designer
• From training planning to data-driven competency development
• From content production to curation and networking of learning resources
• From in-person didactics to hybrid learning support with AI assistance

For universities and academies, similar questions arise. Here too, the role is shifting: less knowledge transfer in lecture format, more support for self-directed learning processes. AI tutors can serve as a bridge by answering standard questions and giving instructors space for more demanding support tasks.

Skills models meet the reality of everyday learning

Another area of tension that became visible at CLCamp26 concerns the gap between theoretical models and practical implementation. Skills frameworks, competency matrices, and learning experience platforms promise much but often fail due to the complexity of daily reality.

Education leaders know the dilemma: on one hand, organizations need guidance on which competencies should be developed. On the other hand, detailed skills catalogs often prove difficult to maintain and impractical.

The solution likely lies in pragmatic approaches that provide structure without drowning in bureaucracy. Technology can help, for example when AI systems identify learning needs and suggest suitable offerings without every single competency having to be manually recorded. What matters, however, is that technology serves learning and not the other way around.

Mindset as the key factor for the future of learning

Perhaps the most important insight from CLCamp26 is formulated by Herwig Kummer at the end of his summary: the future of learning is not just a question of new formats or technologies. It is a question of mindset.

What does this mean concretely for education leaders? It means that introducing an AI tutor or a new learning platform alone does not bring about change. What matters is the mindset with which an organization views learning:

Learning as control versus learning as enablement:

Is professional development primarily understood as a compliance requirement or as an investment in developing people?

Learning as cost versus learning as value creation:

Are training budgets under permanent pressure to justify themselves or are they treated as a strategic resource?

Learning as event versus learning as process:

Does professional development end with the certificate or is continuous development encouraged?

These mindset questions concern not only L&D departments but the entire leadership level of an organization. Technology like AI tutors can support a learning-conducive mindset by enabling individual learning in the flow of work. However, the fundamental decision about the importance of learning remains a human task.

CLCamp26 has shown that the professional development industry is having these discussions. The questions have been asked, the directions are recognizable. For education leaders at universities, academies, and in companies, the task now lies in deriving concrete steps from these impulses. This is less about choosing between AI and humans, between digital and analog. It is about combining both in ways that make learning effective, accessible, and sustainable.

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