AI @ ExxonMobil
Summary
- ExxonMobil has progressively integrated AI and machine learning technologies across its operations from 2020 through 2025, focusing on predictive maintenance, data unification, and workflow automation to optimize oil and gas production, reduce downtime, and increase operational efficiency.
- Key figures such as Sarah Karthigan and Andrew Curry have led initiatives to expand AI applications, including self-healing IT operations and machine learning-driven production enhancements, contributing to ambitions like saving $15 billion in operating costs by 2027.
- By 2024-2025, ExxonMobil notably pivoted toward powering AI data centers through natural gas plants with carbon capture, while also employing autonomous AI agents to reduce costs and emissions, signaling a broadened AI strategy encompassing operational excellence and energy transition leadership.
VIBE METER
6 AI Use Cases at ExxonMobil
Autonomous Operations2025
Collaborative Design2025
Energy Supply Optimization2024
Safety Enhancement2024
Production Optimization2024
Timeline
2025 Q3
ExxonMobil's AI strategy in 2025 employs autonomous AI agents to reduce costs and emissions and to maintain leadership in the energy transition, while continuing to scale oil and gas production to meet energy demands of AI and data centers globally.
2025 Q2: no updates
2025 Q1
ExxonMobil partnered with CoLab Software to deploy AI-powered engineering design collaboration tools on offshore oil rigs, accelerating design and communication workflows.
2024 Q4
ExxonMobil pushed strategic AI initiatives such as powering AI data centers with natural gas plants equipped with carbon capture, targeting a $15 billion reduction in operating costs by 2027. It also developed personalized customer service offerings through AI-driven analytics.
- Catallyst Executive Education Institute: How AI is Transforming Oil and Gas Industry
- Bloomberg: Exxon's AI Power Play Aims to Beat Nuclear
- oklahomaminerals.com: Powering AI Data Centers with a Natural Gas Plant
- CNBC: Big Oil wants to help Big Tech power artificial intelligence data centers
- Constellation Research: ExxonMobil to outline process, automation, AI efforts
2024 Q3
ExxonMobil used AI to build technology roadmaps helping to optimize oil and gas production across regions including Guyana and Australia.
2024 Q2
ExxonMobil's machine learning workflow boosted output by over 5% in Bakken gas lift operations. The firm also enhanced safety protocols and reduced workplace accidents using AI technologies, with leadership insights from Andrew Curry about AI's future impacts.
2024 Q1: no updates
2023 Q4: no updates
2023 Q3
The company implemented AI for predictive maintenance, achieving significant reductions in unplanned downtime and labor costs. ExxonMobil also developed a secure data strategy, delineating data readiness for advanced AI and ML use.
2023 Q2: no updates
2023 Q1
ExxonMobil leveraged AI to integrate data silos and expedite well development, accelerating oil well deployment and improving operational efficiency.
2022 Q4: no updates
2022 Q3: no updates
2022 Q2: no updates
2022 Q1: no updates
2021 Q4
Under the leadership of Sarah Karthigan, ExxonMobil focused on AI-driven self-healing strategies for IT operations, advancing automation and resilience in enterprise technology systems.
2021 Q3: no updates
2021 Q2
Partnering with Microsoft Azure, ExxonMobil integrated IoT and machine learning to minimize equipment downtime and boost productivity, marking significant strides in enterprise data and analytics.
2021 Q1: no updates
2020 Q4
ExxonMobil began AI-related exploration in earnest with early efforts dating back to the 1980s. In Q4 2020, it advanced edge computing initiatives by collaborating with Intel to leverage AI at the equipment level.