AI @ ExxonMobil
Summary
- ExxonMobil has steadily expanded its AI integration from initial exploratory and IT self-healing projects in the 1980s and early 2020s towards comprehensive operational applications including predictive maintenance, production optimization, and autonomous AI agents by 2025.
- Recent efforts focus heavily on powering the AI revolution externally by supplying natural gas and carbon-captured energy to data centers, signaling a strategic shift to serve Big Tech's AI infrastructure needs alongside internal AI-driven efficiency gains and cost savings, targeting $15 billion operating cost reductions by 2027.
- Key figures such as Sarah Karthigan and Andrew Curry lead AI adoption, with collaborations including Microsoft Azure and CoLab Software, highlighting ExxonMobil's systemic data unification, advanced machine learning workflows boosting production by over 5%, and pioneering AI-based technology roadmaps for global oil and gas optimization.
VIBE METER
6 AI Use Cases at ExxonMobil
Energy Supply2025Customer Facing
Operational Autonomy2025
Engineering Collaboration2025
Production Optimization2024
Predictive Maintenance2023
Data Unification2023
Timeline
2026 Q2: no updates
2026 Q1
Focused on integrating multiple data sources (sensors, images) via AI to advance energy security and lower emissions, emphasizing the role of people in making AI-powered transformations happen.
2025 Q4
Advanced discussions and contracts to power AI data centers with natural gas and carbon capture; partnered with TechnipFMC for AI-enabled digital twins boosting technology buy points; collaborations with Google and NextEra to build AI infrastructure; leveraged AI to turn predictive maintenance and energy optimization into business intelligence.
- MSN: Exxon Partner Drills New Buy Point — And Uses AI to Create Digital Twins
- ExxonMobil: Turning Artificial Intelligence into Business Intelligence at ExxonMobil
- Oil Gas Leads: ExxonMobil: Using AI and Supercomputing to Unlock More Barrels
- Natural Gas Intel: ExxonMobil Tapping Data Center, AI Technology to Drive Low-Carbon Natural Gas Demand
- CNBC: Exxon Mobil in talks to power data centers with natural gas and carbon capture
- Decarbon Fuse: Exxon In Advanced Talks To Power AI Data Centers
- Politico Pro: NextEra teams with Google, Exxon in massive AI build-out
- Investor's Business Daily: TechnipFMC Deal With Exxon And AI Moves Fuel Buy Point
- Enkiai: ExxonMobil AI Strategy 2025: Powering Data Centers
2025 Q3
Adopted autonomous AI agents across the energy production value chain to cut costs, reduce emissions, and expand energy transition leadership; strategic shift toward serving global AI infrastructure energy needs documented.
- 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 2025]
- Enkiai: ExxonMobil AI Initiatives for 2025: Key Projects, Strategies and Partnerships
- AI Adopters Club: ExxonMobil's AI Strategy - by Kamil Banc
2025 Q2: no updates
2025 Q1
Partnered with CoLab Software to deploy AI tools for engineering design collaboration and communication on offshore oil rigs, enhancing operational efficiency.
2024 Q4
Expanded AI applications to analyze customer data for personalized services; initiated construction of natural gas plants with carbon capture to power AI data centers; targeted $15 billion operating cost savings by 2027 via AI and process automation.
- Catallyst Executive Education Institute: How AI is Transforming Oil and Gas Industry
- Bloomberg: Exxon's AI Power Play Aims to Beat Nuclear
- CNBC: Big Oil wants to help Big Tech power artificial intelligence data centers
- oklahomaminerals.com: Powering AI Data Centers with a Natural Gas Plant
- Constellation Research: ExxonMobil to outline process, automation, AI efforts
2024 Q3
Built technology roadmaps using AI to optimize oil and gas production worldwide, from Guyana to Australia.
2024 Q2
Implemented automated ML workflows increasing Bakken gas lift production by more than 5%; enhanced safety protocols reducing workplace accidents; leadership comments issued regarding AI impact on future oil and gas operations.
2024 Q1: no updates
2023 Q4: no updates
2023 Q3
Company focused on unified data strategy to identify data readiness for AI and ML capabilities; implemented predictive maintenance reducing unplanned downtime and labor costs.
2023 Q2: no updates
2023 Q1
ExxonMobil accelerated well development by integrating disparate data silos using AI, enabling faster and more efficient oil well development.
2022 Q4: no updates
2022 Q3: no updates
2022 Q2: no updates
2022 Q1: no updates
2021 Q4
Sarah Karthigan leads AI projects focusing on IT operations self-healing strategies, strengthening internal AI capabilities.
2021 Q3: no updates
2021 Q2
Partnership with Microsoft Azure to leverage IoT and machine learning to minimize downtime and increase productivity, marking significant enterprise data and analytics advancements.
2021 Q1: no updates
2020 Q4
ExxonMobil began focusing on edge AI initiatives and early AI networking equipment since the 1980s, with partnerships including Intel to explore advanced computing at the edge.