How AI skills can boost salaries and careers in Brazil

Four skills in high demand for 2026

A 2026 study by Robert Half found that professionals seeking new opportunities are focused on developing four key skills: AI-based software development, cloud platforms, generative AI, and programming languages.

However, the market doesn’t value skills in isolation. The real impact comes when these skills are combined with technical expertise and applied to in-demand roles.

Skills sought vs. skills hardest to hire for

The Robert Half 2026 Salary Guide distinguishes between skills candidates want to improve and those companies struggle to find. Candidates are focused on AI-based software development, cloud computing, generative AI, and programming. Meanwhile, the scarcest skills include cloud computing, data science, database management, network administration, and application development.

This gap shows that what workers want to learn doesn’t always align with the biggest hiring challenges. Still, there’s a clear overlap: AI, programming, and infrastructure are all in demand across different tech roles.

What job ads actually require

Data from the 2026 Stanford AI Index, based on Lightcast information, highlights this shift. In the U.S., 2.5% of all job postings in 2025 mentioned AI skills—a 55% increase from the previous year.

Among specific skills, Python was the most in-demand in the AI job ads analyzed, appearing in 258,674 listings. Demand also grew for infrastructure skills like Amazon Web Services, scalability, and workflow management.

This helps explain why learning AI as a tool user has a different impact than developing the ability to build, integrate, and operate AI systems.

Generative AI has advanced rapidly. According to Lightcast, U.S. job postings mentioning generative AI skills reached 138,188 in 2025, up from 65,557 in 2024—a 111% increase. Demand for prompt engineering grew by 261%, while the RAG technique, which connects AI models to external data sources, grew by 337%.

The salary impact of AI skills

There’s no formula to say that learning Python, for example, adds a specific value to a Brazilian professional’s salary. What studies can measure is the link between certain skills and job compensation.

A study published in Economics Letters analyzed UK job postings and found an 8.6% to 9.7% salary premium for roles requiring AI skills. The study also estimated that each additional AI skill was linked to a 4.8% to 5.4% salary increase within the analyzed roles.

Another study, published in Technological Forecasting and Social Change, analyzed nearly 11 million UK job postings. It found a 23% salary premium for AI skills and a 21% increase in demand for AI roles between 2018 and 2023.

These figures shouldn’t be directly applied to the Brazilian market, but they help explain why these skills are increasingly featured in career strategies.

Which roles pay the most in Brazil

In Brazil, the Robert Half 2026 Salary Guide ranks AI engineers among the highest-paid tech professionals. Salaries range from R$ 19.5 thousand to R$ 27.1 thousand, based on the percentiles analyzed by the consultancy.

The survey also reports salaries of up to R$ 26.1 thousand for prompt engineers and up to R$ 23.5 thousand for AI and machine learning specialists.

These figures don’t represent the financial return of a specific skill but rather the salary ranges for roles, which reflect a combination of experience, technical knowledge, and specialization.

For those already in the workforce, the strategy tends to differ from simply accumulating courses. Combining programming with AI, cloud computing with AI, or data science with AI, for example, can open different paths depending on current roles and desired job types.

What to prioritize in your career

Hiring data shows a shift in focus: companies aren’t just looking for people who can use AI tools but for professionals who can integrate the technology into systems and processes.

The 2026 Stanford AI Index highlights this trend. Alongside the growth of generative AI, skills related to agents, deployment, and infrastructure have gained prominence in job postings. Mentions of Agentic AI, for example, grew by over 280% between 2024 and 2025 in U.S. job ads analyzed.

For professionals, this positions AI literacy as a layer that can be combined with existing skills. A developer can integrate AI into the programming process; a data professional can work with models and automation; and an infrastructure specialist can handle the implementation and operation of these systems.

The growth of AI-related job openings doesn’t mean any AI course will automatically lead to a salary increase. Available studies show a link between specific skills, business demand, and compensation, but the effect varies by profession, experience, and market.

For those looking to advance their careers, the greatest value lies in combining AI with a technical or business skill that’s already in demand in the market.