AI @ ExxonMobil
Summary
- ExxonMobil has demonstrated a progressive and expanding adoption of AI technologies from the 1980s through 2025, increasingly leveraging AI for operational efficiencies, well development, predictive maintenance, and strategic energy management, including powering AI data centers.
- Key personnel like Sarah Karthigan and Andrew Curry have been notable leaders in AI initiatives focusing on self-healing IT operations and leveraging AI to impact the oil and gas business, highlighting a strong leadership role in integration of AI within the company’s core business.
- Financially, ExxonMobil aims to save $15 billion in operating costs by 2027 through AI-driven process intelligence and automation, while also expanding AI's role externally through partnerships and initiatives such as natural gas plants powering AI data centers and digital twin contracts boosting partner companies.
VIBE METER
7 AI Use Cases at ExxonMobil
Digital Twins2025
Autonomous Agents2025
Engineering Collaboration2025
AI-Powered Energy Supply2024
Energy Infrastructure Planning2024
Production Optimization2024
Timeline
2025 Q4
ExxonMobil partnered with TechnipFMC using AI for creating digital twins and optimizing oil rig operations, aiding TechnipFMC in reaching record financial highs; also leveraging AI for predictive maintenance and energy optimization in India.
2025 Q3
ExxonMobil's AI strategy emphasized autonomous AI agents cutting costs and emissions, integrating supercomputing and global-scale proprietary data to dominate AI in energy; shifted focus externally to foundational roles in AI and energy innovation.
- Klover.ai: ExxonMobil's AI Strategy: Analysis of Sustained Dominance in AI Energy
- Klover.ai: ExxonMobil Uses AI Agents: 10 Ways to Use AI [In-Depth Analysis]
- ExxonMobil: Powering the AI revolution with reliable energy
- Enki AI: ExxonMobil AI Initiatives for 2025: Key Projects, Strategies and Partnerships
- Energy Conference Network: ExxonMobil - Powering the AI revolution with reliable energy
2025 Q2: no updates
2025 Q1
Partnership with CoLab Software facilitated AI-based engineering design collaboration for offshore oil rig projects, signaling expansion in AI-facilitated engineering workflows.
2024 Q4
Investments in natural gas plants with carbon capture to power AI data centers marked a new frontier combining energy production and AI infrastructure support; company targeted $15B operating cost savings by 2027 via AI-driven automation.
- CNBC: Big Oil wants to help Big Tech power artificial intelligence data centers
- Catallyst Executive Education Institute: How AI is Transforming Oil and Gas Industry
- Oklahoma Minerals: Powering AI Data Centers with a Natural Gas Plant
- Bloomberg: Exxon's AI Power Play Aims to Beat Nuclear
- Constellation Research: ExxonMobil to outline process, automation, AI efforts
2024 Q3
ExxonMobil used AI to build technology roadmaps optimizing oil and gas production globally, indicating strategic planning using AI insights.
2024 Q2
ExxonMobil's AI-driven machine learning workflows increased Bakken production by over 5%, enhanced safety protocols, and advanced personalized service offerings, reflecting diversified AI applications.
2024 Q1: no updates
2023 Q4: no updates
2023 Q3
The company scaled AI for predictive maintenance drastically reducing unplanned downtime and labor costs and established secure data strategies identifying AI readiness across datasets.
2023 Q2: no updates
2023 Q1
AI enabled integration of data silos expedited well development processes, increasing efficiency in oil well drilling and operations.
2022 Q4: no updates
2022 Q3: no updates
2022 Q2: no updates
2022 Q1: no updates
2021 Q4
Leadership in AI projects advanced with Sarah Karthigan spearheading efforts on self-healing IT operations, marking a focus on robust infrastructure AI applications.
2021 Q3: no updates
2021 Q2
In partnership with Microsoft Azure, ExxonMobil intensified AI adoption using IoT and machine learning to minimize downtime and enhance productivity.
2021 Q1: no updates
2020 Q4
ExxonMobil began exploring AI since the 1980s, initially focusing on networking equipment and studying AI capabilities, with initiatives like partnering with Intel to leverage edge computing.