AI @ General Electric
Summary
- General Electric (GE) has progressively embedded AI across its industrial, healthcare, energy, and manufacturing operations from 2016 through 2025, evolving from strategic ambitions to broad practical applications including predictive maintenance, generative AI platforms for employees, and AI-driven sustainability solutions.
- By 2024-2025, GE's AI initiatives have demonstrated substantial measurable impacts such as a 14% reduction in gas turbine emissions, $1.6 billion in operational savings through predictive maintenance, and improvements in supply chain forecasting, manufacturing automation, and healthcare imaging workflows through partnerships with major cloud and tech companies.
- GE's AI maturity advanced steadily from traditional predictive and analytics uses towards agentic AI research and generative AI deployments across divisions like GE Aerospace, GE HealthCare, and GE Vernova, with recent launches of AI innovation labs and wide-scale employee AI platforms indicating deepening integration and future growth potential.
VIBE METER
7 AI Use Cases at General Electric
Agentic Healthcare2025Customer Facing
Emission Reduction2025
Predictive Maintenance2024
Energy Trading2024
Healthcare Imaging2024Customer Facing
Generative Knowledge2024
Supply Chain Forecasting2024
Timeline
2025 Q4
GE HealthCare announces AI Innovation Lab showcasing five new research projects employing agentic AI, including the Health Companion project, spotlighting cutting-edge AI-driven healthcare advancements.
2025 Q3
GE intensifies AI research developing new architectures for AI-based tasks in image processing and beyond, with reports highlighting GE's strategy to dominate industrial AI integrating agentic AI capabilities.
2025 Q2
GE Vernova leads AI advances in energy transition and carbon reduction, deploying AI-driven analytics and digital twins achieving emissions reductions (14% CO and NOx), $1.6 billion in operational savings, and improved grid intelligence supported by new whitepapers.
2025 Q1
GE Appliances introduces AI-powered innovations in smart kitchen, laundry, and shopping to enhance daily consumer experiences; GE accelerates AI deployment in manufacturing plants for predictive maintenance.
2024 Q4
GE HealthCare accelerates AI adoption integrating third-party AI applications into imaging platforms; GE Vernova advances AI/ML for renewable energy trading optimization; predictive maintenance models further reduce equipment downtime and increase efficiency; GE HealthCare collaborates with RadNet to transform imaging using AI.
- GE HealthCare: GE HealthCare accelerates artificial intelligence adoption with new offering to advance enterprise imaging
- GE Vernova: Streamlining Renewable Energy Trading With AI/ML
- Profeshh: How GE Uses AI for Predictive Maintenance to Reduce Downtime and Increase Efficiency
- DeepHealth: GE HealthCare and RadNet Forge Collaboration to Transform Imaging Systems and Accelerate AI Adoption
2024 Q3
Significant expansion in AI deployments: GE Aerospace adopts AI for engine inspections and monitoring; GE Appliances uses AI for supply chain forecasting; GE Healthcare partners with Amazon on generative AI models for clinical data; GE Aerospace launches company-wide generative AI platform.
- Fierce Network: Google Cloud and GE say AI is transforming manufacturing
- Healthcare Brew: Amazon, GE HealthCare team up on generative AI
- Aviation International News: GE Aerospace Expands Scope of Artificial Intelligence
- Gas Turbine World: GE Vernova bets on A.I. / Machine Learning
- GE Aerospace: GE Aerospace Launches Company-wide Generative AI Platform for Employees
2024 Q2: no updates
2024 Q1
GE Vernova launches new AI-based software solutions focusing on advancing industrial sustainability and operations goals through AI-enabled technologies.
2023 Q4: no updates
2023 Q3
GE publishes resources for HR practitioners on AI and generative AI to increase workforce understanding, signaling broad internal AI education initiatives.
2023 Q2: no updates
2023 Q1: no updates
2022 Q4: no updates
2022 Q3: no updates
2022 Q2: no updates
2022 Q1: no updates
2021 Q4: no updates
2021 Q3
GE begins leveraging AI and digital twins for predictive maintenance, enhancing equipment operational performance and reliability.
2021 Q2: no updates
2021 Q1: no updates
2020 Q4: no updates
2020 Q3: no updates
2020 Q2: no updates
2020 Q1: no updates
2019 Q4: no updates
2019 Q3: no updates
2019 Q2: no updates
2019 Q1
GE engineers report leveraging AI to reduce downtime and efficiency losses by applying AI to industrial problems, marking operational AI deployments.
2018 Q4: no updates
2018 Q3: no updates
2018 Q2: no updates
2018 Q1: no updates
2017 Q4: no updates
2017 Q3: no updates
2017 Q2
GE drives digital transformation through AI and machine learning using big data, and builds an AI-skilled workforce spreading AI across operations starting internally.
2017 Q1: no updates
2016 Q4
GE initiates its AI ambitions, positioning itself as a future industrial AI powerhouse, founded by experts including astrophysics and AI specialists pushing into AI technologies.