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

Start » KIROI Step 9: Leadership Development with AI Competency

16 February 2025

KIROI Step 9: Leadership Development with AI Competency

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

Leadership development is increasingly important in modern businesses, particularly when it comes to empowering leaders with skills in Artificial Intelligence (AI). KIROI Step 9 combines classic leadership qualities with digital expertise, supporting leaders in acting for the future. Leadership development here means not just further training, but intensive coaching that utilises innovative methods and unfolds individual potential.

Leadership development in transition – AI as a key competency

Companies looking to respond to new technological challenges are increasingly integrating AI expertise into their leadership development. The linking of traditional HR development and digital learning formats promotes understanding of data-driven decisions. For example, leaders in the automotive industry learn to optimise the analysis of manufacturing processes with AI-supported tools, while in retail, algorithms for customer segmentation are developed and applied. AI applications also support risk analysis and compliance tasks in the financial sector.

The integration of AI competencies into leadership development not only imparts technical knowledge but also strengthens strategic thinking in complex situations. This is how leaders prepare themselves for the role of a bridge-builder between humans and machines, which positively influences the entire company culture.

Methods and approaches for leadership development with AI competence

Leadership development includes a variety of learning formats that systematically build and consolidate competencies. In addition to traditional seminars and coaching, digital learning platforms with AI-based adaptation mechanisms offer individual development paths. Here are three examples from different industries:

1. In mechanical engineering, managers are using digital workshops where AI applications for predictive maintenance management are interactively simulated. Through case studies, they learn how to minimise failures and increase productivity with AI.

2. In healthcare, leaders practice using AI-powered diagnostic systems and reflect on ethical issues to promote employee acceptance.

3. The IT industry promotes leaders through agile methodology training, which deepens the use of AI tools in software development and project management.

A proven method in leadership development is mentoring. Experienced leaders pass on their AI experience and guide younger colleagues in its application. In addition, coaching supports the reflection on specific situations when dealing with digital tools, thereby creating practical and sustainable empowerment.

Examples of successful support

BEST PRACTICE with one customer (name hidden due to NDA contract) Leadership development was combined here within a programme that relied on personalised AI training, coaching sessions, and networking events. Participants reported increased confidence in data-based decision-making and improved team communication through the targeted use of digital tools.

BEST PRACTICE with one customer (name hidden due to NDA contract) At a medium-sized technology company, leadership development supported the integration of machine learning solutions into everyday work. Through practical workshops and mentoring, innovation skills were strengthened, and managers were able to efficiently redesign processes.

BEST PRACTICE with one customer (name hidden due to NDA contract) In the financial services sector, a specialised leadership development programme with a focus on AI competency enabled the successful transformation of risk management processes. Through continuous reflection and exchange within the leadership tier, barriers were dismantled and a readiness for change was fostered.

Areas of action and tips for successful leadership development

Effective leadership development should be tailored to individual needs and combine different learning methods. Here are some valuable tips commonly reported from practice:

Use on-the-job learning to establish AI skills directly in your daily work. This is how to connect theory and practice.
Accompany executives with regular coaching to reflect on challenges in applying AI and to develop courses of action.
Invest in mentoring programmes where experienced leaders specifically pass on their knowledge. This strengthens professional exchange and contributes to networking.
Promote the use of digital learning platforms that enable individual learning paths through adaptive algorithms and continuously motivate leaders.
Promote a culture that supports a willingness to experiment and a positive approach to mistakes to boost team innovation.

Transruptions coaching plays a central role in this. This specialised support assists leaders with complex change projects and the transformation of company culture, incorporating AI competence.

My analysis

The linkage of traditional leadership development with AI-specific content is a promising response to the demands of digital transformation. Leaders require a broad spectrum of competencies, encompassing both technical understanding and social skills. KIROI Step 9 demonstrates how targeted support and combined learning can create innovative leaders who can confidently guide their organisations into the future.

The focus is on individual support within practice-oriented learning formats, supplemented by mentoring and coaching. Companies that implement these approaches benefit from motivated leaders who see AI as an opportunity and successfully use it in their day-to-day leadership.