Rudy Lai

AI @ General Electric

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

Summary

  • General Electric (GE) has progressively integrated AI across its industrial sectors, from predictive maintenance to energy and healthcare, achieving significant operational efficiencies and sustainability goals, notably $1.6 billion in O&M savings and up to 14% emission reduction in gas turbines.
  • Key product initiatives include GE Vernova's AI-based software for sustainability and energy management; GE Aerospace's company-wide generative AI platform enhancing engine monitoring and inspection; and GE Healthcare's integration of AI-enabled application orchestration features for enterprise imaging.
  • GE's AI maturity spans traditional predictive modeling, generative AI for content and insights, and agentic AI for autonomous operational tuning and maintenance, with a clear focus on reducing costs, improving customer experience, and advancing carbon reduction through digital twins and software solutions.

VIBE METER

More AI announcements = more VIBE
Q1 23Q2 23Q3 23Q4 23Q1 24Q2 24Q3 24Q4 24Q1 25Q2 25Q3 25🔥🔥🔥🔥

6 AI Use Cases at General Electric

Emission Reduction
2025
Traditional
Generative
Agentic
Outcome
Risk
Through AI-driven autonomous tuning and emission management software, GE Vernova optimizes gas turbine performance to lower greenhouse gas emissions, supporting sustainability targets. [1]
Consumer Innovation
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
GE Appliances leverages AI to enhance kitchen, laundry, and shopping experiences with smart home integrations and personalized automation features. [1]
Predictive Maintenance
2025
Traditional
Generative
Agentic
Outcome
Costs
GE uses AI to analyze sensor data and digital twins to predict equipment failures before they occur, enabling timely maintenance and reducing downtime and operational expenses. [1][2]
Enterprise Imaging
2024
Traditional
Generative
Agentic
Outcome
GE HealthCare integrates AI orchestration features into its imaging platforms to consolidate and streamline clinical data access for improved diagnostic workflows. [1]
Automated Inspection
2024
Traditional
Generative
Agentic
Outcome
Costs
GE Aerospace employs AI to automate engine inspections, recognizing defects and wear using computer vision to improve accuracy and speed of maintenance processes. [1]
Supply Forecasting
2024
Traditional
Generative
Agentic
Outcome
Costs
GE Appliances applies AI to forecast and proactively manage supply chain disruptions, optimizing inventory and reducing delays in manufacturing and delivery. [1]

Timeline

2025 Q3

3 updates

GE conducted extensive AI research, developing new AI architectures and strategies, solidifying its industrial AI dominance post-Predix.

2025 Q2

1 updates

GE Vernova leveraged AI extensively for energy transition and carbon reduction achieving 14% reductions in CO and NOx emissions and $1.6B O&M savings.

2025 Q1

2 updates

GE enhanced predictive maintenance in manufacturing and launched AI-powered consumer innovations in appliances transforming daily life.

2024 Q4

3 updates

GE HealthCare accelerated AI adoption integrating third-party AI into imaging platforms; GE Vernova streamlined renewable energy trading using AI/ML.

2024 Q3

5 updates

Expansion of generative AI platforms at GE Aerospace, AI-driven supply chain forecasting at GE Appliances, and partnerships in healthcare AI with Amazon; enhanced AI applications across manufacturing and energy.

2024 Q2: no updates

2024 Q1

1 updates

GE Vernova introduced AI-based software aimed to advance industrial sustainability and operational goals.

2023 Q4: no updates

2023 Q3

1 updates

GE published AI guidance for HR practitioners increasing generative AI awareness internally.

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

Use of AI and digital twins for predictive maintenance and equipment optimization expanded.

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 engineers started applying AI to reduce operational costs and improve maintenance efficiency.

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 pursued digital transformation leveraging AI and machine learning, building an AI workforce to embed AI throughout operations.

2017 Q1: no updates

2016 Q4

1 updates

GE positioned itself as an emerging AI powerhouse integrating astrophysics and AI expertise.