Nearly 7 in 10 ENR executives believe AI will transform their operations by 2030

They see it beneficial in improving maintenance and production, amongst others.

They see it beneficial in improving maintenance and production, amongst others.

Around 65% of energy and natural resources (ENR) executives in 2023 believed that artificial intelligence (AI) and digital technologies will contribute significantly to their operations by 2030, with the share increasing from 56% in 2022.

In a report, Bain & Company said 70% of the executives see generative AI to improve maintenance, including predictive maintenance.

The technology will also improve production optimisation (58%), and supply chain optimisation (54%).

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Executives also expect AI to close the talent gap (29%), reduce carbon intensity (25%), and reduce emissions from the end-use of products (21%).

Bain also noted that ENR companies are using generative AI together with other AI technologies.

For example, a renewable energy developer uses AI-enabled analytics software to monitor maintenance issues before they occur. Now, its field technicians use newer generative AI tools to easily access information and recommendations to resolve maintenance requests.

Bain & Company

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