Rudy Lai

AI @ General Electric

Diversified industrial, energy & healthcare
Industry
Last updated
July 3, 2025 at 10:44 AM

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.

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5 AI Use Cases at General Electric

Emissions Management
2025
Traditional
Generative
Agentic
Outcome
Risk
Using AI-driven analytics and digital twins, GE Vernova optimizes gas turbine operations lowering emissions of CO and NOx, and provides accurate GHG reporting software assisting energy producers in compliance and sustainability goals. [1][2]
Predictive Maintenance
2024
Traditional
Generative
Agentic
Outcome
Costs
GE applies AI models to continuously monitor equipment health via sensor data (temperature, vibration, pressure), enabling prediction of failures and reducing downtime in manufacturing plants, aerospace engines, and energy assets. [1][2][3]
Healthcare Imaging
2024
Customer Facing
Traditional
Generative
Agentic
Outcome
GE HealthCare integrates AI into imaging devices and enterprise solutions, improving image quality, accelerating diagnosis, and enabling operational efficiencies through AI-powered workflow orchestration and clinical decision support. [1][2][3]
Supply Chain Optimization
2024
Customer Facing
Traditional
Generative
Agentic
Outcome
Leveraging AI-enabled predictive analytics, GE Appliances anticipates supply chain disruptions to proactively address issues, thus enhancing product availability and customer satisfaction. [1][2]
Generative Automation
2024
Traditional
Generative
Agentic
Outcome
Costs
GE Aerospace employs generative AI platforms and automation to create AI-generated insights, automate complex inspection tasks, and enhance product support for aircraft engines and parts. [1][2][3]

Timeline

2026 Q1

1 updates

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

1 updates

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

1 updates

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

1 updates

GE Vernova published whitepapers emphasizing AI to create more intelligent energy grids and accelerate energy transition and carbon reduction efforts.

2025 Q1

2 updates

GE Appliances introduced AI-powered kitchen and shopping innovations; GE Aerospace deployed AI-driven inspection tools; predictive maintenance expanded across manufacturing plants.

2024 Q4

3 updates

GE significantly scaled AI for predictive maintenance, healthcare imaging, renewable energy trading, and enterprise imaging, showcasing broad AI adoption and strategic partnerships.

2024 Q3

3 updates

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

1 updates

GE Vernova unveiled AI-based software to advance industrial sustainability and operational efficiency goals.

2023 Q4: no updates

2023 Q3

1 updates

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

1 updates

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

1 updates

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

2 updates

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

1 updates

GE announced ambitions to become an AI powerhouse, initiating foundational AI and digital transformation efforts.