Rudy Lai

AI @ General Electric

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

Summary

  • Since 2016, General Electric (GE) has steadily expanded its adoption of AI across multiple industrial domains including manufacturing, aerospace, healthcare, and energy, showing a trend of increasing AI integration up to 2025.
  • Key initiatives include GE Vernova's AI-based software for industrial sustainability achieving significant emissions reductions and operational savings, GE Aerospace's company-wide generative AI platform enhancing engine monitoring and parts inspection, and GE HealthCare accelerating AI adoption in medical imaging systems.
  • GE's AI applications deliver strong financial and environmental impacts, such as $1.6 billion O&M savings from predictive maintenance, 14% reduction in emissions via autonomous turbine tuning, and transformation of supply chain and customer experience in appliances, indicating maturity and broad deployment of AI technologies.

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7 AI Use Cases at General Electric

Emissions Management
2025
Traditional
Generative
Agentic
Outcome
Risk
Using AI-driven autonomous tuning and emissions management software, GE Vernova optimizes gas turbine operations to reduce CO and NOx emissions, enabling sustainable energy production and compliance. [1]
Smart Appliances
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
GE Appliances leverages AI to develop smart kitchen, laundry, and shopping experiences that enhance everyday consumer convenience and efficiency via connected device innovations. [1]
Predictive Maintenance
2025
Traditional
Generative
Agentic
Outcome
Costs
GE uses AI to analyze sensor and operational data from equipment across manufacturing plants and aerospace engines to predict failures before they occur, improving uptime and reducing maintenance costs. [1][2]
Energy Trading
2024
Traditional
Generative
Agentic
Outcome
Revenue
GE Vernova applies AI/ML to streamline renewable energy trading by optimizing margins, managing risk, and improving decision-making in energy markets. [1]
Healthcare Imaging
2024
Customer Facing
Traditional
Generative
Agentic
Outcome
GE HealthCare integrates AI-enabled orchestration into its PACS imaging systems, facilitating faster and more accurate diagnostics for clinicians by consolidating and sorting large amounts of patient data. [1][2]
Automated Inspection
2024
Traditional
Generative
Agentic
Outcome
Costs
GE Aerospace uses AI to automate engine part inspections, increasing accuracy and efficiency while reducing human inspection times and errors. [1][2]
Supply Chain Optimization
2024
Traditional
Generative
Agentic
Outcome
Costs
GE Appliances applies AI to forecast and address supply chain issues proactively, improving manufacturing schedules and customer delivery performance. [1]

Timeline

2025 Q4: no updates

2025 Q3

3 updates

GE intensifies AI research with new architectures for AI tasks like image processing, reinforcing its industrial AI strategy post-Predix era.

2025 Q2

1 updates

GE Vernova demonstrates AI's role in advancing energy transition and carbon reduction, achieving up to 14% reductions in emissions and $1.6 billion operational savings.

2025 Q1

2 updates

GE leverages AI extensively for predictive maintenance in manufacturing plants and launches AI-powered smart home appliance innovations enhancing daily life.

2024 Q4

2 updates

GE HealthCare accelerates AI adoption by integrating third-party AI applications into major medical imaging platforms; GE Vernova utilizes AI/ML to optimize renewable energy trading and risk management.

2024 Q3

4 updates

Multiple initiatives reported: Google Cloud partnership for AI in manufacturing, Amazon collaboration on generative AI for healthcare, GE Aerospace’s expansion of AI in engine inspection, and company-wide deployment of generative AI enhancing airline services.

2024 Q2: no updates

2024 Q1

1 updates

GE Vernova launches new AI-based software aimed at simultaneously advancing industrial sustainability and operational goals.

2023 Q4: no updates

2023 Q3

1 updates

GE publishes a resource for HR practitioners addressing the introduction and understanding of generative AI in the workspace.

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

GE advances AI and digital twin technologies especially for predictive maintenance and equipment efficiency improvements.

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 reports leveraging AI to cut operational costs and improve efficiency, showcasing industrial applications beyond traditional AI use cases.

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 accelerates digital transformation using AI and machine learning with big data, building an AI workforce to integrate AI throughout operations.

2017 Q1: no updates

2016 Q4

1 updates

GE announces ambition to become an AI powerhouse, leveraging expertise from astrophysics and AI experts to integrate AI capabilities.