AI @ General Electric
Summary
- GE has steadily evolved its AI integration starting from foundational digital transformation efforts around 2016-2017 to advanced, agentic AI implementations by 2025, spanning industrial, healthcare, and energy sectors.
- Key initiatives include GE Vernova's AI-powered energy grid optimization and emissions reduction, GE Aerospace’s AI-enhanced engine monitoring and inspections, and GE Healthcare’s AI-driven imaging and predictive healthcare solutions.
- Recent financial results reflect success with GE Vernova reporting 9% revenue growth and 12.8% net income margin in 2025, driven in part by AI-enabled operational efficiencies and innovative product offerings.
VIBE METER
5 AI Use Cases at General Electric
Emissions Management2025
Predictive Maintenance2024
Healthcare Imaging2024Customer Facing
Supply Chain Optimization2024Customer Facing
Timeline
2026 Q1
GE Vernova reported strong financial performance in 2025 with 9% revenue growth and a 12.8% net income margin, fueled by AI-driven operational improvements.
2025 Q4
GE HealthCare launched AI-powered Imaging 360 and an AI Innovation Lab; GE Vernova’s AI business continued to attract attention for transforming energy operations.
2025 Q3
GE intensified AI research particularly on new architectures for image processing, expanded healthcare AI use cases, and integrated advanced AI in aerospace for product support.
2025 Q2
GE Vernova published whitepapers emphasizing AI to create more intelligent energy grids and accelerate energy transition and carbon reduction efforts.
2025 Q1
GE Appliances introduced AI-powered kitchen and shopping innovations; GE Aerospace deployed AI-driven inspection tools; predictive maintenance expanded across manufacturing plants.
2024 Q4
GE significantly scaled AI for predictive maintenance, healthcare imaging, renewable energy trading, and enterprise imaging, showcasing broad AI adoption and strategic partnerships.
2024 Q3
GE Aerospace launched a company-wide generative AI platform, expanded AI use in engine monitoring and inspections; partnerships with Google Cloud and Amazon enabled AI-driven supply chain and healthcare innovations.
2024 Q2: no updates
2024 Q1
GE Vernova unveiled AI-based software to advance industrial sustainability and operational efficiency goals.
2023 Q4: no updates
2023 Q3
GE provided resources on AI and HR, indicating AI adoption in workforce and human capital management functions.
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
Development and deployment of AI-powered digital twins and predictive maintenance became a key focus at GE.
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 started leveraging AI to cut costs and improve operational efficiency across industrial applications.
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 accelerated AI workforce building and integrated AI and machine learning into its operations as part of its digital transformation.
2017 Q1: no updates
2016 Q4
GE announced ambitions to become an AI powerhouse, initiating foundational AI and digital transformation efforts.