Dual Vocational Training 2025: Declining Numbers | Alphabees

The latest figures from the Federal Statistical Office on dual vocational training paint a sobering picture: in 2025, approximately 461,800 people signed a new training contract. That is 13,300 fewer than the previous year, a decline of 2.8 percent. This continues the negative trend from 2024, which already saw a one percent decrease.

For decision-makers in companies, chambers, and educational institutions, this development raises a central question: how can training quality be designed to successfully guide existing trainees through to completion? In a shrinking applicant pool, every single training position becomes increasingly valuable.

The Numbers in Detail: Where Training Stands

The decline in new contracts affects nearly all areas of dual vocational training. Across all training cohorts, approximately 1.21 million people were enrolled in dual vocational training at the end of 2025. Here too, a slight decline of 0.8 percent compared to the previous year is evident.

The distribution across training sectors remains largely stable:

• Industry and commerce: 677,100 trainees
• Skilled trades: 342,700 trainees
• Liberal professions: 113,100 trainees
• Public sector: 40,700 trainees
• Agriculture: 31,400 trainees

The unequal gender distribution remains striking: with 64 percent men and 36 percent women among new contracts, many training sectors continue to be heavily gender-specific. In skilled trades, the male share is 81 percent, while in the liberal professions, 89 percent of those starting training are women.

Fewer Applicants, Higher Demands on Support

The declining numbers reflect a demographic reality that is likely to intensify in the coming years. For training companies and education providers, this means: competition for qualified young talent is intensifying. At the same time, pressure is mounting to actually guide trainees who have been recruited through to completion.

This is where one of the greatest challenges lies. Dropout rates in dual vocational training have remained at high levels for years. Lack of supervision, missing individual support for comprehension problems, and overwhelming demands are among the most common reasons why trainees end their training prematurely.

Training companies face a dilemma: while the need for supervision increases, they often lack the personnel for intensive individual guidance. Trainers juggle between daily operations, administrative tasks, and the technical instruction of their charges. Seamless support is hardly feasible under these conditions.

Digital Learning Support as a Strategic Response

This is where AI-powered learning companions come in. They do not replace the personal relationship between trainer and trainee but complement it with a component that is available around the clock. When questions arise, trainees do not have to wait until the next working day or the next vocational school session.

An AI tutor can do far more than deliver standardized answers. Modern systems analyze individual learning progress, identify knowledge gaps, and adapt their explanations to the prior knowledge and learning pace of each individual. This form of personalized support was previously only possible with considerable personnel expenditure.

For education leaders, this offers several advantages:

Scalable support:

Regardless of the number of trainees, each individual has access to a personal learning companion.

Early warning system:

Comprehension problems are identified before they lead to frustration and potential dropouts.

Relief for trainers:

Routine questions are answered by the AI tutor, allowing trainers to focus on more complex instructional tasks.

Documented learning progress:

Interactions with the AI tutor provide valuable insights into actual learning status.

Integration into Existing Structures

In practice, the introduction of new technologies often fails due to the complexity of integration. This is where a decisive advantage of solutions built on established learning management systems becomes apparent. The Alphabees AI Tutor, for example, integrates directly into Moodle and utilizes the course content and structures already available there.

For educational institutions already using Moodle for their training courses, this means: implementation requires no content migration and no retraining of instructors on an entirely new system. The AI tutor becomes a natural part of the existing learning environment and is available to trainees where they already learn.

This seamless integration is particularly relevant for organizations that have already invested in digital education infrastructure. The added value of an AI tutor can thus be realized without disruptive system changes.

Quality as the Answer to Quantity

The declining numbers in new contracts can hardly be influenced in the short term. They reflect demographic developments and societal trends that extend far beyond the sphere of influence of individual education providers. What can be shaped, however, is the quality of training itself.

When fewer young people begin dual vocational training, the goal must be to successfully guide as high a proportion of them as possible through to completion. Every training dropout represents not only a loss for the individual but also exacerbates the skills shortage already affecting many industries.

AI-powered learning support is not a cure-all, but it is an effective tool in this context. It enables a level of support intensity that would not be achievable with purely human resources alone, without replacing the personal component of training.

The figures from the Federal Statistical Office are a wake-up call. They show that the training market faces structural challenges requiring innovative responses. For decision-makers in companies, chambers, and educational institutions, it is therefore worthwhile to examine technologies that intelligently complement existing resources and can measurably improve training quality.

Frequently Asked Questions