Key Points
Brazil AI adoption now outpaces every major economy, according to PwC’s Global Hopes and Fears 2025 survey of nearly 50,000 workers across 48 countries. Seventy-one percent of Brazilian professionals reported using at least one AI tool at work in the past 12 months — 17 percentage points above the 54% global average and the highest national rate in the study, The Rio Times, the Latin American financial news outlet, reports.
Brazil AI Adoption by the Numbers
The numbers go beyond casual experimentation. Twenty-six percent of Brazilian workers use generative AI tools daily — nearly double the 14% global rate. Among users, 83% said AI improved the quality of their output and 79% reported measurable productivity gains, both exceeding global benchmarks of 75% and 74% respectively.
PwC’s study, conducted between July and August 2025, also found that 61% of Brazilian workers expect technology changes to significantly affect their jobs within three years, versus 45% globally. This sense of urgency is driving adoption from the bottom up, often faster than company policies can keep pace.
The Maturity Gap
High adoption does not mean high readiness. A separate study by consulting firm Newnew, surveying more than 300 executives at mid-to-large Brazilian companies, found that 80% of organizations already use some form of AI. But only 11% of leaders said the implementation had gone well enough to qualify as genuinely effective.
The gap between trying AI and deploying it systematically reflects structural challenges: integration with existing systems, data quality, internal skills deficits, and a near-total absence of governance frameworks. Workers are racing ahead while companies scramble to catch up.
The Governance Vacuum
Tainah Corrêa, a partner at Brazilian law firm André Menescal Advogados specializing in innovation governance, warned that “spontaneous” employee use of AI tools — drafting texts, summarizing documents, accelerating routine tasks — is creating significant legal exposure. Generative platforms are being fed confidential data without internal policies setting boundaries.
The legal liability is clear: decisions made on the basis of AI-generated content remain the company’s responsibility, not the machine’s. Corrêa said the solution is not to ban the technology but to establish minimum governance structures — defining which tools are permitted, what data can be entered, and requiring human review of AI-generated outputs.
Employee monitoring of AI tool usage is permissible under Brazilian law to protect sensitive data, but Corrêa emphasized it must be transparent. Workers need to know which tools are authorized, which data is classified as sensitive, and whether their usage is being tracked. Without that clarity, trust erodes precisely when companies need their workforce to embrace new technology.
The anxiety is not evenly distributed. Thirty-seven percent of early-career Brazilian workers said they are quite or very worried about AI’s impact on their future, compared to 29% globally. For a country where youth unemployment already runs above 15%, the promise of AI-driven productivity collides with fears of AI-driven displacement.
What It Means for Brazil’s Tech Ambitions
Brazil’s government has committed R$23 billion ($4 billion) to AI development through 2028, including a Portuguese-language large language model and sovereign cloud infrastructure. The PwC data suggests that worker enthusiasm already outstrips the institutional infrastructure being built to support it.
For investors and employers, the takeaway is a paradox: Brazil has the most AI-eager workforce on Earth, but the governance, training, and systems integration needed to convert that enthusiasm into sustainable competitive advantage remain dangerously underdeveloped. The companies that close that gap first will define the next chapter of Latin America’s largest economy.

