Demand for AI skills soars in Brazil’s job market

A sharp rise in job postings

In just one year, the number of job postings requiring AI-related skills nearly tripled, according to PwC’s AI Jobs Barometer 2026. The study analyzed over one billion job ads across six continents, identifying around 63,000 such opportunities in Brazil in 2024, which jumped to approximately 182,000 in 2025.

This represents an increase of nearly 119,000 additional positions. The share of these ads in the overall national market rose from 1.1% to 3.6%, signaling a significant shift in how companies seek talent.

Which skills are in high demand?

Proficiency in generative AI tools is a good starting point, but this knowledge must align with the specific needs of each role. According to PwC, 92% of AI-related jobs in Brazil focus on using the technology rather than developing it, underscoring that demand isn’t limited to engineers and programmers.

Skills such as evaluating responses, identifying errors, and interpreting information remain essential. Critical thinking, creativity, and human judgment help determine when an automated response is inadequate or requires verification.

How to prepare and seize these opportunities

The first step is to identify which tasks in your profession can be enhanced with AI. Testing tools on real-world tasks helps you understand their potential and limitations without relying solely on theory.

Experiment with features that summarize documents, structure reports, compare information, and organize research. During testing, compare the results with your usual process to check if there’s a time gain without compromising quality.

Another key step is to become familiar with creating prompts—the instructions that guide AI tool responses. Providing the goal, context, and expected format increases the usefulness of the results, though it doesn’t eliminate the possibility of errors.

Technical expertise and human skills go hand in hand

For those interested in working directly in AI development, studying programming, statistics, and data analysis may be necessary. The PwC report highlights that skills required in AI-exposed roles are evolving faster than in less exposed roles, making continuous learning essential to keep pace with market changes.

Building a portfolio with practical projects, documenting results, and demonstrating how technology was applied to real problems are effective ways to showcase these skills during recruitment processes.