Since ChatGPT at the latest, artificial intelligence has been a constant topic of public discussion. The reason for this is that the effects of the technology can be felt in many ways and do not even stop at the management level. We explain how AI is influencing managers – and which skills are now in demand.
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Leadership in change
The concept of leadership has changed completely in recent years. Away from the authoritarian boss, towards the coach. The goal: to support employees in their personal development and to tap their full potential.
Creating a shared culture, independent, location-independent working: This is what employees want from their bosses today. But it’s not just the employees who are influencing the leadership role – technology is also having an impact. First and foremost: artificial intelligence.
How AI influences the leadership role
The integration of AI technologies into everyday management opens up a broad spectrum of new possibilities and at the same time puts proven concepts to the test. This is because artificial intelligence is encroaching on the managers’ area of responsibility in many areas.
Artificial intelligence as an assistant
AI is your tireless assistant. It analyses data in real time and provides recommendations for action. This allows you to make better-informed decisions and react faster to changes.
Relief for routine tasks
Routine tasks eat up valuable time, but are often an important part of everyday work. AI can help – and take over unpleasant tasks. Managers can thus concentrate more on strategic planning, innovative idea development and, above all, on the individual support of their employees.
Broadening the spectrum of knowledge
Humans make mistakes – and that is unavoidable. AI is not perfect either, but its ability to analyse and recognise patterns is superior to ours many times over. The insights gained from this then support managers in decision-making. Nevertheless, team leaders must also learn to critically question AI. The balance between technological precision and human intuition is crucial.
Improved human resources development
Employees’ demands have changed – individuality and further development are high on the list of requirements. AI can help identify individual employee strengths and development areas more precisely. As a result, customised training and development plans can be created that specifically promote professional development. What is important, however, is that the human being must remain at the centre. Artificial intelligence can support, but interpersonal interaction, empathy and emotional intelligence remain essential elements of successful leadership.
Ethics and society
AI in the boardroom is revolutionising corporate management. But it also raises new questions. Questions about data security, privacy and fair use of AI systems. Tomorrow’s leadership must ensure responsible use of AI – and ensure that technological advances are in line with corporate values and the needs of employees.
Leadership opportunities through the integration of AI
The integration of AI into leadership practice opens up a multitude of opportunities that have the potential to take leadership effectiveness and efficiency to a new level.
Data analysis
AI systems are able to process huge amounts of data in real time, identifying patterns and trends that often remain hidden to human eyes.
This enables more informed and data-driven decision-making – leaders are better informed and can respond more quickly to changing market conditions.
Automation
Repetitive tasks are time-consuming and annoying. AI can take these tasks away from you – allowing you to focus more on strategic planning, creative thinking and interpersonal relationships. This allows you to focus on your core responsibilities: supporting, motivating and developing your team.
Human resources development
The shortage of staff is a burden on companies. One more reason to rely on AI for personnel development. It recognises employees’ individual strengths and weaknesses and thus makes targeted further training and career planning possible. One example: AI-supported learning platforms can create personalised training programmes tailored to the individual needs of each employee. This not only improves employees’ skills and performance, but also promotes the success of the entire company.
Challenges and risks for leadership through AI
While the integration of AI undoubtedly brings many opportunities for leadership practice, leaders must also keep the challenges in mind.
Integration and transparency
All employees involved must be actively involved in the design and use of AI systems, and the responsibilities between AI and management must be clearly defined. It must be clearly recognisable for your employees how decisions are made – and where the boundaries of responsibility run.
Bias
Another risk is that AI systems could have unconscious biases due to algorithms and data sources. For example, when the AI analyses applications for a certain position, it takes successful employees as references. If more men are currently employed in the company, the AI could prefer men based on its references. Managers must therefore ensure that the AI systems used work transparently, ethically and responsibly.
Fears and worries
Not everyone likes artificial intelligence. The fear of job losses or of machines taking over tasks is not unjustified – and must be taken seriously by managers. Managers face the challenge of addressing these fears, communicating transparently and involving employees in the change process.
Further education
In order to be able to use AI safely and reliably, training and further education are indispensable. This is the only way to ensure that the system actually enriches your company – and does not hinder it.
Data protection
AI needs sensitive, personal data from your employees to function properly. Many people fear data protection violations here – and not without good reason. It is essential to comply with the various national and European data protection directives such as the GDPR.
AI and leadership: What skills are in demand?
The integration of artificial intelligence is changing the weighting of the skills in demand. Because while technological know-how is certainly an advantage, some of the traditional leadership skills remain indispensable.
Critical analysis
AI can do a lot, but it also makes mistakes. Managers must therefore be able to question and validate the data and insights provided by AI systems. A healthy scepticism towards automated recommendations and the ability to bring in human instinct and experience are essential.
Emotional intelligence
In the age of digitalisation, emotional intelligence is more important than ever. The risk: Human relationships take a back seat through the use of AI. Therefore, it is of great importance to maintain empathy, empathy and the ability to communicate effectively. Managers must be able to understand and respond to the needs, concerns and expectations of their employees.
Strategic planning
While AI can assist in data evaluation and trend analysis, strategic vision and the ability to set and communicate long-term goals remains a central role for leaders. They must be able to integrate the use of AI into corporate strategy and ensure that technological developments are in line with long-term goals.
Flexibility
Flexibility and agility are important key competencies. In the face of ever-changing technologies and ways of working, leaders must be willing to adapt and upskill. A willingness to continuously evolve and an openness to innovation are essential to keep pace.
Ethical responsibility
AI can support, but not guide. It is therefore imperative that leaders are able to identify and address ethical issues related to the use of AI. This includes ensuring data protection, avoiding discrimination by algorithms and communicating transparently about the use of AI technologies.
AI Readiness: How prepared is your organization?
Understanding the impact of AI on leadership is one thing – knowing where your organization stands is another. Many companies are still in the early stages of their AI transformation, unsure of where to begin or which areas need the most attention.
An AI readiness assessment helps you answer critical questions:
- Leadership mindset: Do your managers see AI as an opportunity or a threat?
- Digital skills: Does your team have the competencies to work effectively with AI tools?
- Data maturity: Is your organization ready to leverage data for AI-driven decision-making?
- Cultural openness: Is there enough psychological safety to experiment with new approaches?
- Strategic alignment: Is AI integrated into your long-term business strategy?
The gap between AI-ready organizations and those still hesitating is widening rapidly. McKinsey’s 2025 “State of AI” report, based on nearly 2,000 respondents across 105 countries, found that only about 6% of companies qualify as “AI high performers” – organizations that attribute 5% or more of their EBIT to AI. These high performers are three times more likely than their peers to have senior leaders actively driving AI adoption. Meanwhile, 92% of companies plan to increase AI investments, but only 1% consider themselves truly AI-mature. The message is clear: leadership readiness – not technology alone – determines AI success.
The good news: You don’t need to figure it all out alone. A structured assessment gives you clarity on your current state and a concrete roadmap for next steps.
triangility: AI and Leadership Competence
The age of artificial intelligence demands a new kind of leadership – one that combines technological understanding with deeply human skills. At triangility, we call this Human-AI Leadership.
Our approach is built on three pillars:
AI Readiness Assessment – Understand where your organization stands today. Our structured assessment evaluates your leadership mindset, digital maturity, and cultural readiness for AI transformation.
AI for Managers Training – A hands-on program that equips leaders with practical AI skills, ethical frameworks, and strategies for leading teams through change. No coding required – just the competencies that matter.
Learning Journeys – Comprehensive development programs that combine workshops, coaching, and real-world application. Because sustainable transformation doesn’t happen in a single training day.
Whether you’re just starting your AI journey or ready to take the next step, we support you with the expertise and tools you need.
Ready to lead in the age of AI?
Book your free initial consultation now or take the AI Assessment for free!
FAQ
How is AI changing leadership roles in 2026?
AI is automating routine management tasks like reporting, scheduling, and data analysis – freeing leaders to focus on strategic thinking, emotional intelligence, and human connection. The shift requires a new set of skills combining tech literacy with human-centered leadership.
What skills do leaders need in the age of AI?
Leaders need a blend of AI literacy (understanding capabilities and limitations), critical thinking (evaluating AI outputs), emotional intelligence (leading through uncertainty), and ethical judgment (ensuring responsible AI use). These are the core competencies of Human-AI Leadership.
What is an AI readiness check for organizations?
An AI readiness check assesses your organization’s preparedness for AI transformation across dimensions like leadership mindset, digital skills, data maturity, and cultural openness to change. It identifies gaps and prioritizes next steps for sustainable AI adoption.
How can managers prepare their teams for AI transformation?
Start with awareness (understand AI’s impact), build skills (AI literacy programs), create psychological safety (allow experimentation), and develop an AI strategy aligned with your organizational values. Learning Journeys that combine these elements are most effective.
What are the biggest risks of AI for leadership?
Key risks include over-reliance on AI for decisions, loss of human connection in teams, bias in AI-driven processes, and resistance to change. Effective leaders address these through transparent communication, ethical guidelines, and maintaining the human element in leadership.
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