Today more than ever, management development is a decisive factor for sustainable corporate success. The integration of AI expertise in particular is becoming increasingly important because it helps leaders to actively shape digital transformation processes and prepare their teams for the future. In this article, we shed light on how targeted leadership development can succeed through the expansion of AI expertise and which practical examples and methods support this.
Leadership development in the age of artificial intelligence
Modern managers are faced with the challenge of developing technological skills alongside traditional management skills. The ability to understand, evaluate and utilise AI technologies in a targeted manner is a key to professional success. Managers are thus becoming important drivers of digitalisation by using data analysis to make informed decisions and drive innovative automation.
For example, managers in manufacturing companies are learning how AI can optimise supply chains or make production processes more efficient. In the healthcare sector, the use of AI-based diagnostics enables better patient care, while in the IT industry, AI-supported project management tools help to increase team productivity. This enables managers in various contexts and industries to assume their responsibility in the digitalisation process while promoting an innovation-friendly corporate culture.
BEST PRACTICE with one customer (name hidden due to NDA contract) A medium-sized technology company introduced a comprehensive programme to expand the AI skills of its managers. Participants were supported through workshops and individual coaching sessions to identify AI applications and use them sensibly. This support made the managers feel more confident in the digital transformation and increased the acceptance of new technologies within the teams.
Methods of leadership development with a focus on AI
A successful leadership development programme combines various formats to optimally support the learning processes. Traditional seminars and workshops offer basic knowledge about AI and its application. Coaching and mentoring support managers individually by specifically addressing personal challenges in dealing with AI. Learning-on-the-job allows managers to gain practical experience by implementing AI projects in their day-to-day work.
Practical examples illustrate the benefits of these methods:
- A manager in the financial sector uses 360-degree feedback to promote self-reflection and improve the use of AI-supported analysis tools.
- In SMEs, job rotations allow managers to familiarise themselves with different AI application areas and thus develop a more comprehensive understanding.
- Action learning groups work together on AI projects, which strengthens problem-solving skills and promotes dialogue between managers.
Practice-orientated coaching as support
Transruption Coaching sees itself as a supportive force in projects relating to leadership development. It helps managers to develop individual solutions and reduce uncertainty when dealing with AI. By providing impetus and holding reflective discussions, the coaches create a safe space for exploration and sustainable learning.
In the IT sector, for example, managers benefit from coaching that teaches them how to use AI-supported data analyses. In the automotive industry, it helps to manage digital change processes and involve employees. In the service sector, coaching supports the development of AI-based customer dialogue systems in order to increase service quality.
AI expertise as the basis for future-oriented leadership
Managers must not only understand AI, but also use it responsibly. Management development therefore also includes topics such as transparency in algorithmic decisions, ethical aspects of AI use and data protection. This creates trust and promotes acceptance among employees.
One manufacturing company, for example, implemented control mechanisms to make AI-based decisions transparent. In a clinic, managers were trained in how to address ethical issues in connection with AI in teams. In the marketing sector, managers ensure that data protection-compliant AI solutions are used in order to handle customer data responsibly.
My analysis
In today's world, leadership development is inextricably linked to the development of AI expertise. Systematic support enables managers to make targeted use of the potential of digitalisation and successfully steer their organisations through change. Practical examples from various industries show that individual support, structured programmes and the transfer of responsibility are key success factors.
Further links from the text above:
Leadership development through AI expertise
Leadership development: Methods & practical tips
AI for managers: leadership skills in the digital transformation
Management development: trends and measures
Management development methods at Randstad
For more information and if you have any questions, please contact Contact us or read more blog posts on the topic Artificial intelligence here.
Deutsch 
English (UK)