A collaborator who disengages, a meeting where no one speaks, a project that stalls for no apparent technical reason. These situations often share a common origin: the way the manager exercises their leadership on a daily basis. Developing leadership skills is not an innate talent. It is a concrete, structured effort that directly impacts a team’s performance.
Hybrid team norms: the first training ground for leadership
Have you noticed that a team working partially remotely functions well for a few weeks, then gradually becomes disorganized? The problem rarely lies with the tools. It stems from the absence of explicit collective rules.
According to Gallup, teams with a formalized hybrid collaboration plan are more engaged and less exposed to burnout than those that allow each member to decide their hours alone. Conversely, fully self-determined schedules can increase fatigue and blur coordination.
Leadership is exercised here in very concrete ways: the manager defines with their team the days of common presence, shared availability windows, remote decision-making modes, and follow-up rituals. This collective framework is the foundation. Without it, flexibility becomes ambiguity, and ambiguity generates frustration. Resources like those offered on boost-leadership.com can help equip this managerial structuring approach.
Leadership skills: clarifying expectations before seeking to inspire
Many leadership resources emphasize the ability to inspire, unite, and give meaning. These qualities matter. But they come after a more fundamental skill: the ability to articulate clear expectations.
Gallup reports that an effective manager is associated with a significantly higher level of engagement and well-being, regardless of whether employees work remotely or not. What distinguishes this manager? They clarify objectives, organize coordination, and maintain regular and useful exchanges.
What clarifying means in practice
Let’s take an example. A project manager asks their team to “prioritize quality.” That’s vague. A leader who has honed this skill would say instead: “For this deliverable, the client expects zero errors in the data, and the layout must follow the charter approved on March 15.” The difference is clear: the latter provides a measurable benchmark.
Clarifying expectations reduces back-and-forth and misunderstandings. The team knows where to focus their energy. The manager can then devote themselves to what truly falls under leadership: mediating, protecting priorities, and supporting struggling collaborators.
Artificial intelligence and the development of managerial leadership
Since February 2, 2025, Article 4 of the European AI Regulation (AI Act) requires companies deploying AI systems to ensure a sufficient level of AI literacy among their teams. This obligation changes the scope of leadership.
A manager can no longer simply delegate technological issues to the IT department. They must understand, at least in broad terms, how the AI tools their team uses function. Not to become a developer, but to exercise algorithmic discernment in their decisions.
Concrete example of managerial discernment in the face of AI
Imagine an automated scoring tool ranks the applications received by the department. The manager who has developed their AI literacy will ask the right questions: what criteria does the algorithm use? Is there a bias in the training data? Is systematic human oversight needed before the final decision?
This questioning is not strictly technical. It is applied leadership: protecting the team and the company from opaque decisions. Several companies are beginning to formalize internal AI usage charters, and the manager’s role is to ensure their daily application.
Psychological safety: the leadership skill that transforms collective performance
A team can have remarkable individual talents and produce mediocre results. Why? Because members do not dare to signal a problem, propose an idea, or admit a mistake. This phenomenon has a name: the absence of psychological safety.
Psychological safety is the shared belief that one will not be punished for taking an interpersonal risk. In practical terms, this means a collaborator can say “I don’t understand” in a meeting without fearing being judged incompetent.
The leader plays a direct role in building this climate. Here are the most concrete levers:
- Reacting to mistakes with questions (“what happened?”) rather than accusations. This directs the team towards analysis, not concealment.
- Explicitly soliciting divergent opinions in meetings, especially from the quieter members. Silence is not agreement: it is often withdrawal.
- Sharing one’s own areas of uncertainty. A manager who says “I don’t have the answer, let’s search together” frees collective speech.
This work requires consistency. Trust is built through dozens of daily interactions, not during an annual seminar. Every meeting, every piece of feedback, every response to a message contributes to the team’s climate.
Leadership training: choosing a path that changes practices
Developing leadership skills often involves training. Not all training is equal. The most effective formats share a few characteristics:
- They include real-life scenarios, not just theoretical input. A concept learned without practice is forgotten in a few weeks.
- They provide post-training follow-up (individual coaching, peer groups, regular check-ins) to anchor new habits.
- They address specific skills (conflict management, feedback, hybrid management) rather than leadership “in general.”
- They integrate the AI dimension and the new regulatory obligations related to the AI Act.
Leadership development is not a one-time event. It is a continuous process that relies on daily practice, feedback, and constant adaptation to the realities of the team.
Collective performance rarely transforms through a change in strategy or tools. It transforms when the manager changes how they articulate an expectation, react to a mistake, or structure hybrid work. It is these repeated, often subtle actions that make the difference between a functioning team and a progressing team.
