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KIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

Start » KIROI Step 9: Leadership development through AI expertise

5 December 2024

KIROI Step 9: Leadership development through AI expertise

Digital Leadership Automation Digital transformation HR work and Teams 4.0 Artificial intelligence AI Glossary

The Leadership Development gains ever more importance in an increasingly digitised world of work. In particular, competence in dealing with Artificial Intelligence (AI) has become a crucial success factor for managers. Transruption coaching supports companies and managers in integrating these skills, to provide them with targeted support in important projects.

AI competency as part of leadership development

Modern leaders today require not only traditional management skills but also a sound understanding of AI technologies. This includes, for example, the use of data analysis for decision-making, process automation, or fostering an innovation-friendly corporate culture. Particularly in sectors such as manufacturing, healthcare, or IT, imparting these skills is part of contemporary Leadership Development.

In a manufacturing company, for example, leaders learn through targeted workshops how AI can contribute to optimising the supply chain. In the healthcare sector, they are empowered to make sensible use of AI-based diagnostic systems. And in the IT industry, the understanding of AI-supported project management tools is constantly evolving. This practical application of AI competence strengthens the leadership role in various contexts.

BEST PRACTICE with one customer (name hidden due to NDA contract) In a medium-sized technology group, managers were trained in AI use cases through a multi-stage programme. This enabled them to make more confident decisions about which processes were sensible to automate, and how to get employees in the organisation excited about AI solutions. The managers reported increased self-confidence in dealing with new technologies and better networking within their teams.

Methods for developing AI competence in leadership

For effective Leadership Development In the context of AI, various learning formats are available. These include training, coaching, mentoring, and learning on the job, which cover both formal and informal learning processes.

An example from the automotive industry is the combination of practical training and accompanying coaching, with which managers learn to better control AI-supported manufacturing processes. In the financial services sector, managers are supported by mentoring from experienced AI experts who explain the application of AI models in risk analysis. And in retail, learning on the job promotes the use of AI for personalising customer service by enabling managers to test and reflect on new tools in their day-to-day work.

These multiple methods allow for individual support, which accommodates differing prior knowledge and requirements.

Practice-oriented support through transruption coaching

Transruptions-Coaching provides targeted support for leaders on projects related to Leadership Development, particularly in the acquisition and implementation of AI expertise. The focus here is on transferring this to professional everyday life. For example, the coaching supports managers in the pharmaceutical industry on how they can use AI-supported decision-making processes responsibly in product management.

In the energy sector, leaders are being supported to unlock the added value of AI-powered data analysis in grid control. At the same time, the coaching promotes cultural change by strengthening the team's acceptance of new technologies and giving leaders input for communicating with employees.

Practical tips for successful leadership development with a focus on AI

To permanently embed AI expertise in leadership, companies should consider a few points:

Clearly define the objective: Which AI capabilities are relevant for leaders?
Creating individual learning paths: considering the personal strengths and needs of leaders.
Enabling practical learning: Combining on-the-job learning with real-world use cases.
Encouraging reflection and feedback: Regular exchange helps to transfer learning.
To ensure a holistic leadership approach, technical and social competencies must be strengthened in parallel.

These points prove helpful across a wide range of sectors. For example, the manufacturing industry experiences better alignment between technology and leadership skills through targeted training programmes. In the service sector, the combination of online seminars and individual coaching often leads to rapid progress. And in public administration, focusing on communication skills is essential for leaders during the introduction of AI.

My analysis

The Leadership Development The expansion of AI expertise is indispensable today. Digital transformation challenges leaders to effectively use new technologies and responsibly shape change processes. A holistic approach that combines formal and informal learning formats, accompanied by transruption coaching, optimally supports leaders in their challenges. Across industries, practical examples offer impressive impulses for personal development and show that individual support is crucial for success.