Demand for AI-specialized executives is on the rise

A new role is gaining traction in corporate boardrooms: that of the person who determines how artificial intelligence will be applied to deliver tangible results. Known as the Chief AI Officer (CAIO), this executive leads AI strategy, coordinates projects, and monitors risks associated with technology adoption.

This position reflects a broader shift in the job market. As AI becomes integral to operations, products, and corporate decision-making, new roles are emerging to drive this transformation. For professionals seeking career advancement, this trend presents opportunities that blend technical expertise with business acumen.

Which roles are in high demand?

The CAIO is one of the most prominent examples. Their responsibility is to identify AI application opportunities, set investment priorities, and ensure projects align with organizational goals.

Depending on the company’s structure, this role may be closely aligned with the CEO or work alongside technology and data leaders.

Other positions include AI director or vice president, AI transformation leader, and those responsible for governance and risk management.

Job titles still vary across companies, and some organizations integrate these responsibilities into existing roles. Compensation can be substantial, particularly for executive positions at large companies.

According to a February 2026 report by Forbes Brasil, monthly salaries for technology executives such as CTOs and CIOs in Brazil range from R$ 42,000 to R$ 75,000, as per the 2026 Michael Page Salary Guide.

What are companies looking for in these professionals?

Leading AI initiatives requires a blend of skills. Understanding the technology’s capabilities is important, but not enough: professionals must identify relevant problems, assess costs, measure outcomes, and coordinate multidisciplinary teams.

The ability to translate business needs into viable projects is especially critical. This involves understanding how AI can eliminate repetitive tasks, support analysis, or enhance products, while also addressing issues like privacy, security, and response reliability.

Management experience, data literacy, and industry knowledge are also key differentiators. For executive roles, professional experience often carries as much weight as academic qualifications, as it demonstrates the ability to drive change and take responsibility for results.

How can you prepare to reach these positions?

A first step is to experiment with tools in real-world tasks and document the results. Testing document analysis, AI-assisted research, or process automation helps understand both possibilities and limitations.

Next, deepen your knowledge in data, project management, governance, and implementation. Participating in internal initiatives, collaborating with technical teams, and presenting measurable results can help build relevant experience for more senior roles.

The key differentiator is turning knowledge into results

The growth of AI-related roles doesn’t mean that anyone who masters a few tools will reach the top. The highest-paying positions require experience, decision-making responsibility, and the ability to connect technology to concrete goals.

For those seeking to compete for these opportunities, the best investment is to combine continuous learning with practical application. More than keeping up with every new development, it’s important to know how to identify where AI makes a difference, how to implement it safely, and how to demonstrate its value to the business.