The Management development is taking on a new dimension in the age of digital transformation. In particular, the integration of AI expertise as a strategic component supports managers in methodically tackling current challenges and achieving sustainable growth. Companies that specifically prepare their managers for dealing with artificial intelligence benefit from a decisive competitive advantage and at the same time strengthen the innovative power of their teams.
Focus on management development: AI expertise as a key competence
Modern management development today not only includes traditional training formats, but is increasingly focussing on the acquisition of AI skills. This is particularly relevant as AI technologies are optimising decision-making processes and profoundly changing day-to-day management. A deeper understanding of AI applications enables managers to make strategically sound decisions and guide teams through digital change processes in a targeted manner.
Practical examples show the benefits: In manufacturing companies, managers learn in workshops how intelligent systems can efficiently control supply chains. In the healthcare sector, managers are trained in the profitable use of AI-supported diagnostic systems. And in the IT sector, they continuously develop their expertise in AI-supported project management tools. This practice-orientated management development supports the transfer of knowledge into everyday life and promotes the ability to adapt to new technologies[4].
Diverse methods for integrating AI into management development
Various learning formats help to impart AI expertise in a sustainable way. These include
- Interactive face-to-face and online workshops with practical relevance
- Individual coaching that specifically addresses leadership situations with AI technologies
- Mentoring by experienced experts who support managers in the implementation of AI in their day-to-day work
- Learning-on-the-job to test the use of new tools live and reflect on the situation
For example, an automotive manufacturer supports its managers with practical training and coaching in the management of AI-supported production processes. In the financial sector, experienced AI experts support managers with risk analyses in order to secure well-founded decisions with artificial intelligence. In the retail sector, learning-on-the-job promotes the customisation of services with the help of intelligent algorithms, which improves the customer experience[4].
Leadership development through transruption coaching: support in the AI project context
transruptions coaching has established itself as an effective way of supporting the acquisition and implementation of AI expertise in management development. This coaching focusses on the transfer of learning experiences into day-to-day management and helps to integrate new technologies sustainably. One focus is on the communicative support of change processes and the creation of an innovation-friendly team climate.
BEST PRACTICE at a customer (name concealed due to NDA contract): In a medium-sized technology group, managers went through a multi-stage programme for AI application. In the process, they improved their ability to automate processes efficiently and at the same time get their employees excited about the new technologies. Managers reported greater self-confidence in dealing with AI solutions and increased networking within the team[4].
Specific examples from various industries
In the pharmaceutical sector, coaching helps managers to responsibly utilise AI-driven decision-making processes in product management. In the energy sector, it supports the use of AI-supported data analysis to optimise grid control. The engagement promotes cultural change and makes it easier to overcome reservations about AI by providing impetus for authentic communication with employees[4].
Recommendations for sustainable leadership development with AI expertise
To effectively implement AI expertise in management development, companies can consider the following steps:
- Systematic potential analysis: Determining current knowledge and individual development needs in the field of AI.
- Develop modular programmes that combine theory, practice and reflection to promote sustainable learning.
- Designing individual coaching and mentoring programmes to support managers in line with their needs.
- Establish cultural measures that strengthen openness and acceptance of AI technologies in the team.
- Incorporate regular learning and feedback cycles to make success measurable and enable continuous development.
A pioneering role can be seen in the automotive industry, for example, where companies are specifically training managers on how to control AI-based production processes and thus increase efficiency and quality. In the financial services sector, managers are learning how to use AI in risk analyses in order to make more reliable decisions. In the retail sector, the use of AI in management is also creating an improved customer approach and stronger customer loyalty[4].
My analysis
The Management development The targeted development of AI skills offers companies the opportunity to optimally prepare their managers for the demands of the digital future. The combination of practical learning formats and individual support - in particular through transruption coaching - helps managers to effectively integrate technological innovations and constructively shape cultural change. Managers who use AI expertise confidently not only strengthen their own position, but also promote the performance and innovative strength of their teams.
Further links from the text above:
How can leadership development succeed? - Methods, ...
Leadership Development - Concept Methods Definition ...
Leadership development through AI expertise
For more information and if you have any questions, please contact Contact us or read more blog posts on the topic Artificial intelligence return on investment here.
Deutsch 
English (UK)