The oil and gas sector faces tight margins and regulatory demands, but artificial intelligence could be the key to a strategic, multi-billion dollar transformation in the sector.
The oil and gas sector is undergoing a period of transformation. Faced with increasingly tight margins, price volatility, regulatory demands, and the need to operate with maximum efficiency and social and environmental responsibility, companies in these sectors that fail to incorporate innovation risk losing competitiveness and market share.
By André Sih*
The Rise of AI in the Oil and Gas Sector
Artificial intelligence is no longer just a technological promise; it has become an essential business resource. According to a study by Ernst & Young (EY), approximately 92% of oil and gas companies worldwide are investing or intend to invest in AI within five years. Furthermore, 50% of the executives who participated in the study are already using this technology to solve challenges within their organizations. This demonstrates that technology is gaining prominence in the pursuit of operational efficiency, cost reduction, increased safety, and alignment with ESG (Environmental, Social, and Governance) goals.
Practical Applications and Implementation Challenges
Artificial intelligence is no longer just a technological promise; it has become an essential business resource. According to a study by Ernst & Young (EY), approximately 92% of oil and gas companies worldwide are investing or intend to invest in AI within five years. Furthermore, 50% of the executives who participated in the study are already using this technology to solve challenges within their organizations. This demonstrates that technology is gaining prominence in the pursuit of operational efficiency, cost reduction, increased safety, and alignment with ESG (Environmental, Social, and Governance) goals.
Practical Applications and Implementation Challenges
The applications of AI in the oil and gas sector are numerous, but we can particularly highlight technology for process automation. The AI implementation process is not instantaneous. It requires time for data collection and preparation, model training, system integration, team training, and the development of a data-driven internal culture. Furthermore, it is necessary to carefully evaluate the existing technological infrastructure and define clear priorities for the first use cases.
The success of AI adoption depends on a combination of factors: investment in technology, leadership commitment, involvement of business areas, and efficient change management. Companies that structure this process in a planned manner and with a long-term vision will be able to accelerate the benefits and achieve significant gains in several areas.
Global growth projections and opportunities for Brazil
According to a forecast by the Statista platform, more than 825 million people will adopt AI tools by 2031, bringing the total number of users to 1.1 billion. We are facing a billion-dollar opportunity, both in market value and in generating efficiency, sustainability, and growth.
Artificial intelligence is already transforming the oil and gas sector worldwide, and Brazil has everything it needs to be a leading player in this movement. Companies that recognize this opportunity and take the first steps will not only strengthen their current position but also lay the foundation for a more efficient future.
*André Sih is Founder & Managing Partner of Fu2re.
