Rudy Lai

AI @ ExxonMobil

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

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.

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7 AI Use Cases at ExxonMobil

Digital Twins
2025
Traditional
Generative
Agentic
Outcome
Costs
ExxonMobil collaborates with partners like TechnipFMC, using AI to create digital twins of assets, enabling real-time simulation and optimization, leading to operational efficiencies and partner market value gains. [1][2]
Autonomous Agents
2025
Traditional
Generative
Agentic
Outcome
Costs
ExxonMobil employs autonomous AI agents to plan and execute activities that reduce operational costs and emissions, and to maintain competitive advantage in the energy transition. [1]
Engineering Collaboration
2025
Traditional
Generative
Agentic
Outcome
Costs
Partnership with CoLab Software has enabled the use of AI tools for improved collaboration and communication in engineering design, accelerating offshore oil rig development cycles. [1]
AI-Powered Energy Supply
2024
Traditional
Generative
Agentic
Outcome
Revenue
The company is building natural gas plants with carbon capture technology to supply reliable, low-carbon energy for data centers supporting AI operations, addressing the growing energy demand of AI infrastructure. [1][2]
Energy Infrastructure Planning
2024
Traditional
Generative
Agentic
Outcome
Costs
ExxonMobil leverages AI-driven technology roadmaps to optimize oil and gas production globally, enabling strategic planning for energy assets from Guyana to Australia. [1]
Production Optimization
2024
Traditional
Generative
Agentic
Outcome
Revenue
AI enables integration of siloed data to expedite the development and increase output of oil wells, such as boosting Bakken gas lift production by over 5%. [1][2]
Predictive Maintenance
2023
Traditional
Generative
Agentic
Outcome
Costs
ExxonMobil uses AI to predict equipment failures and schedule maintenance proactively, significantly reducing unplanned downtime and labor costs. [1][2]

Timeline

2025 Q4

3 updates

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

5 updates

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.

2025 Q2: no updates

2025 Q1

1 updates

Partnership with CoLab Software facilitated AI-based engineering design collaboration for offshore oil rig projects, signaling expansion in AI-facilitated engineering workflows.

2024 Q4

5 updates

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.

2024 Q3

1 updates

ExxonMobil used AI to build technology roadmaps optimizing oil and gas production globally, indicating strategic planning using AI insights.

2024 Q2

3 updates

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

2 updates

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

1 updates

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

1 updates

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

1 updates

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

1 updates

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.