Artificial intelligence is redefining the role of business leaders

The adoption of AI systems is transforming not only the tools businesses use, but also the skills required of those in leadership positions. For professionals aspiring to advance their careers, understanding artificial intelligence is no longer a task confined to technology departments. It now involves making decisions about processes, investments, productivity, people, and new business models.

Why has AI become a priority for executives?

The development of generative tools and agents capable of performing tasks is expanding the role of technology within organizations. AI is no longer just about automating repetitive activities; it is now involved in stages that include analysis, planning, and decision-making.

The World Economic Forum’s Future of Jobs 2025 report predicts that artificial intelligence and big data will be the most important skills by 2030. Leadership, social influence, analytical thinking, and continuous learning are also among the skills that will become increasingly important.

In practice, this increases the need for professionals who can connect technology to business goals. Knowing what a tool does is different from knowing where it can create value.

The new role of leadership

A Microsoft survey of 31,000 workers across 31 countries found that 82% of leaders considered 2025 a critical year for rethinking key aspects of strategy and operations.

The same survey revealed that executives are more familiar with AI agents than other employees, suggesting that discussions about technology are increasingly linked to the ability to redesign work.

For a director, this could mean assessing which processes should be automated, which activities need to remain under human supervision, and which skills the team will need to develop.

Business vision as a critical factor

Implementing a new tool does not guarantee financial or operational success on its own. The challenge is to connect technology to the company’s specific problems.

For example, a financial director can use AI to analyze documents and identify patterns. However, the decision about where to apply the technology depends on factors such as cost, risk, data quality, security, and impact on processes.

The same applies to professionals in marketing, human resources, operations, and sales. Technical knowledge can help in using the tool, while business vision enables the definition of priorities and measurement of results.

Skills that are gaining importance

The current landscape combines both technological and human skills. In addition to AI and big data, the World Economic Forum predicts that creative thinking, resilience, flexibility, and agility will become more important in the coming years.

For those who hold or seek leadership positions, certain abilities will start to work together:

• interpreting the possibilities and limitations of AI;
• identifying problems that can be solved with technology;
• analyzing risks and return on investments;
• leading teams through transformation processes;
• making decisions based on data and context.

PwC also emphasizes the relationship between AI, strategy, skills, and trust as key elements for business transformation. In a global survey of CEOs published in 2026, the consultancy notes that skills gaps remain a barrier to implementing changes.

The executive as a bridge between technology and strategy

AI’s progress is likely to bring together areas that have historically operated separately. Technology, finance, operations, human resources, and strategy will start to share decisions about automation and data use.

In this context, executives do not need to become programming experts. The ability to ask the right questions, evaluate opportunities, and understand the impact of an AI solution is becoming more important for connecting technology to the organization’s goals.

This shift is also changing professional training. As new tools arrive in the workplace at increasingly shorter intervals, companies and workers need to continuously update their knowledge.

For senior management, the challenge now involves not only keeping up with technological advancements but also understanding how they can change processes, structures, skills, and business models. It is at this intersection of AI and strategic vision that the profile of the executive of the future is being shaped.