company

Exxon Mobil Corporation

Oil & Gas / Energy
75Good
Aio Composite Score
Confidence
ApplicationHeavy
medium
ImpactUnknown
low
OpennessTransparent
medium
ExxonMobil is an aggressive AI adopter deploying machine learning, generative AI, and IoT-driven analytics across upstream operations, predictive maintenance, supply chain, and subsurface analysis, with an annual ICT spend estimated at $1.8 billion for 2024. The company is actively hiring for GenAI and ML roles and has partnered with Microsoft Azure and Infosys on AI-enabled infrastructure. A September 2025 restructuring announced 2,000 global job cuts (~3-4% of workforce), framed around cost competitiveness and work process redesign, though no direct causal link to AI adoption has been evidenced. ExxonMobil's public posture is openly pro-AI while emphasizing governance and appropriate safeguards, consistent with available evidence.
Application
How is AI being used?
Heavy
medium
ExxonMobil is deploying ML, GenAI, autonomous agents, IoT-driven predictive maintenance, and robotics across upstream, manufacturing, and trading…
Impact
How have people been affected?
Unknown
low
A confirmed 2,000-person restructuring occurred in 2025, but available sources attribute it to geographic rationalization and merger integration…
Openness
Company honesty about AI use.
Transparent
medium
ExxonMobil's public statements on AI—including the CDO's candid acknowledgment of GenAI governance challenges and the need for appropriate…
AI Tools & Platforms Detected
Microsoft Azure (IoT + ML integration)Infosys Topaz (generative AI platform)Infosys Cobalt (enterprise cloud)Machine learning / predictive maintenance toolsAI agents (autonomous operations)
AI Hiringmoderate
16AI roles/ 307 total
Machine Learning EngineerGenAI Data Scientist, Commercial, Supply Chain & TradingGenAI Data Scientist, Subsurface & Well OperationsData Scientist, Upstream DevelopmentData Analyst
Key Evidence (8)
ExxonMobil is leveraging IoT and machine learning via Microsoft Azure partnership for predictive maintenance and dynamic routing of field workers
web searchSource ↗
ExxonMobil CDO stated GenAI is 'one of the AI tools in our bag' and emphasized data governance, appropriate safeguards, and understanding what problems GenAI should solve
2024-04-02
web searchSource ↗
ExxonMobil's annual ICT spending estimated at $1.8 billion for 2024; company is deploying drones, robots, AI, and data analytics in manufacturing facilities
web searchSource ↗
Infosys expanded strategic collaboration with ExxonMobil to deploy immersion cooling fluids for AI data centers, combining ExxonMobil thermal management with Infosys Topaz generative AI platform
2026-02-01
web searchSource ↗
ExxonMobil is actively hiring for GenAI Data Scientist roles in Subsurface & Well Operations and Commercial Supply Chain & Trading, as well as Machine Learning Engineers
2026-02-11
job postingSource ↗
16 of 307 open ExxonMobil US positions (5.2%) mention AI/ML/LLM skills
2025-12-26
job postingSource ↗
What insider reports could clarify
  • Are GenAI outputs in subsurface or trading decisions reviewed by engineers before acting on them?
  • Have any specific roles been eliminated or restructured specifically due to AI automation?
  • What governance or approval process exists for deploying new AI models in field operations?
  • How are field workers experiencing the AI-driven dynamic routing and predictive maintenance tools?
  • Is ExxonMobil tracking quality or safety outcomes attributable to AI-assisted decisions?
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