The advancement of artificial intelligence in Brazil surpasses the global average, with 84% of national companies already reaping significant commercial benefits and prioritizing the technology in their investments.
The acceleration of digital transformation in the Brazilian corporate environment has found a definitive growth engine in artificial intelligence. As the clean energy sector and various industries seek to optimize operations, the adoption of emerging technologies is moving beyond mere promise to become a consolidated financial and strategic reality for the country’s major corporations.
A recent survey by KPMG, titled AI Pulse, reveals that the capacity for generating commercial value through advanced algorithms in Brazil reaches 84% of companies. This level places the Brazilian market above the global average of 76%, highlighting the agility of local companies in absorbing and practically applying innovative solutions.
Strategic Priorities and Operational Gains
The study mapped the main motivations behind the capital invested in innovation. Approximately 31% of the executives consulted point to the pursuit of efficiency and productivity as the primary focus of these initiatives, a crucial factor for companies operating under strict sustainability and waste reduction requirements.
Concurrently, information security is gaining significant ground. For 33% of the corporate leaders interviewed by KPMG, governance, privacy, and data protection are fundamental priorities in the implementation of automated tools.
The digital maturity of Brazilian organizations reflects a rapid and secure adaptation, ensuring that the business ecosystem remains globally competitive in the coming years.
Outlook and Next Steps
Even in the face of potential economic fluctuations, confidence in technology remains unshaken. The survey indicates that 87% of leadership maintains a focus on digital expansion as their top priority for the next twelve months.
Furthermore, 86% of companies demonstrate full technical capability to adapt these tools to future market demands. This scenario paves the way for capital- and resource-intensive sectors, such as clean energy, to integrate even more complex predictive analytics into their daily operations.
