Rudy Lai
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AI @ ExxonMobil

Largest U.S. oil company
Industry
Last updated
July 3, 2025 at 10:44 AM

Summary

  • ExxonMobil has steadily expanded its AI initiatives from foundational studies in the 1980s to advanced AI applications in 2025, encompassing operational efficiency, predictive maintenance, data analytics, and energy production optimization.
  • Key individuals like Sarah Karthigan have led AI projects focusing on IT self-healing, while partnerships with Microsoft Azure and CoLab Software emphasize digital collaboration and IoT integration to reduce downtime and improve well productivity by over 5%.
  • Recent efforts include leveraging AI to power data centers via natural gas plants, targeting $15 billion operational cost savings by 2027, and deploying autonomous AI agents to reduce emissions and dominate the energy transition, highlighting a strong commitment to AI-driven transformation through 2025.

VIBE METER

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6 AI Use Cases at ExxonMobil

Autonomous Operations
2025
Traditional
Generative
Agentic
Outcome
Costs
ExxonMobil deploys autonomous AI agents to autonomously plan and execute actions aiming to cut operational costs, reduce emissions, and lead energy transition innovations. [1]
Collaborative Engineering
2025
Traditional
Generative
Agentic
Outcome
Costs
Utilizing an AI-powered collaboration platform from CoLab Software, ExxonMobil enhances engineering design and communication on oil rigs, accelerating project development. [1]
Energy Supply Management
2024
Traditional
Generative
Agentic
Outcome
Revenue
ExxonMobil integrates AI with natural gas plant operations and carbon capture technologies to efficiently power AI data centers, supporting the energy demands of the tech industry. [1][2]
Production Optimization
2024
Traditional
Generative
Agentic
Outcome
Revenue
By integrating data silos and using automated machine learning workflows, ExxonMobil increases oil and gas production efficiency, including a >5% boost in Bakken output. [1][2]
Safety Enhancement
2024
Traditional
Generative
Agentic
Outcome
Risk
AI-driven safety protocols are employed to monitor and reduce workplace accidents, creating safer environments for ExxonMobil employees. [1]
Predictive Maintenance
2023
Traditional
Generative
Agentic
Outcome
Costs
ExxonMobil applies AI to predict equipment failures and optimize maintenance schedules, significantly reducing unplanned downtime and labor costs in operations. [1]

Timeline

2025 Q4: no updates

2025 Q3

1 updates

ExxonMobil deploys autonomous AI agents to reduce emissions, cut costs, and lead the energy transition, while scaling production to meet AI and data center energy demands.

2025 Q2: no updates

2025 Q1

1 updates

Partnership with CoLab Software to develop AI tools for engineering design collaboration and communication on oil rigs.

2024 Q4

5 updates

Strategic AI transformations include personalized customer service, powering AI data centers with natural gas and carbon capture, and aiming to save $15 billion in operating costs by 2027.

2024 Q3

1 updates

Building technology roadmaps with AI to optimize oil and gas production in global regions including Guyana and Australia.

2024 Q2

3 updates

Automated machine learning workflows increase Bakken gas lift production by over 5%, and AI enhances safety protocols, aiming to reduce workplace accidents.

2024 Q1: no updates

2023 Q4: no updates

2023 Q3

2 updates

ExxonMobil applies AI for predictive maintenance, reducing unplanned downtime and labor costs while advancing a secure data strategy identifying AI readiness.

2023 Q2: no updates

2023 Q1

1 updates

AI used to integrate data silos and expedite oil well development, improving speed and operational cohesion.

2022 Q4: no updates

2022 Q3: no updates

2022 Q2: no updates

2022 Q1: no updates

2021 Q4

1 updates

Sarah Karthigan leads AI projects focusing on self-healing IT operations at ExxonMobil, signaling investment in AI-driven IT resilience.

2021 Q3: no updates

2021 Q2

1 updates

In partnership with Microsoft Azure, ExxonMobil leverages IoT and machine learning to minimize downtime and increase productivity.

2021 Q1: no updates

2020 Q4

1 updates

ExxonMobil directs engineers to study AI since the 1980s and networks equipment as an early step towards AI adoption in energy.