Rudy Lai

AI @ 3M

Industrial products and technology
Industry
Last updated
July 3, 2025 at 10:44 AM

Summary

  • 3M has progressively integrated AI across its manufacturing, healthcare, and sales operations from 2018 through 2025, advancing from predictive analytics to generative AI applications, highlighted by partnerships with AWS, Microsoft Azure, and Telefónica Tech.
  • The company is investing heavily in R&D with a $3.5 billion commitment (2025-2027) and deploying innovative AI tools such as a digital materials hub with over 300 product model combinations to accelerate product innovation and efficiency.
  • Key executives like Paul Cardno (Global Digital Innovation Lead) and Banovetz emphasize AI as a critical enabler for solving complex problems, automating clinical documentation, optimizing supply chains, and transforming research and production processes.

VIBE METER

More AI announcements = more VIBE
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6 AI Use Cases at 3M

R&D Product Innovation
2025
Traditional
Generative
Agentic
Outcome
Revenue
3M established an AI-powered digital materials hub to combine over 300 product models, accelerating research and development cycles for innovative products. [1]
Supply Chain Optimization
2024
Traditional
Generative
Agentic
Outcome
Costs
3M integrates AI and machine learning to enhance supply chain efficiency, detect issues in manufacturing, and reduce operational costs. [1]
Hospital Emergency Optimization
2023
Customer Facing
Traditional
Generative
Agentic
Outcome
3M collaborates with Telefónica Tech to implement AI solutions that optimize hospital emergency operations and resource allocation. [1]
Clinical Documentation
2023
Traditional
Generative
Agentic
Outcome
Costs
3M employs AI-powered conversational interfaces and ambient intelligence to automate and streamline clinical documentation, reducing clinician workload and errors. [1][2]
Sales Forecasting
2022
Traditional
Generative
Agentic
Outcome
Revenue
3M uses AI to standardize, automate, and accelerate the sales forecasting process, improving accuracy and operational efficiency. [1]
Manufacturing Energy Efficiency
2022
Traditional
Generative
Agentic
Outcome
Costs
3M partnered with Argonne National Laboratory to apply machine learning aiming to improve the energy efficiency of materials manufacturing processes. [1]

Timeline

2025 Q4: no updates

2025 Q3

1 updates

3M advanced AI-powered solutions targeting data center efficiency and reliability, reinforcing its leadership in material science AI applications.

2025 Q2

1 updates

At the 3M Open event, the company launched an AI-first transformation strategy with partners to build data-powered decision-making and smarter factory systems.

2025 Q1

1 updates

3M committed $3.5 billion for R&D (2025-2027) including an AI-powered digital materials hub with 300+ model combinations to enhance product innovation.

2024 Q4

1 updates

Paul Cardno, 3M's global digital innovation lead, announced that AI is reserved for complex problems where other solutions don't suffice.

2024 Q3

2 updates

3M revolutionizes operations using AI and generative AI across manufacturing, supply chain, and clinical denial management to reduce costs and enhance efficiency.

2024 Q2

2 updates

3M expands AI initiatives significantly in manufacturing, healthcare, and other sectors, emphasizing transformative impact of AI/ML.

2024 Q1: no updates

2023 Q4

1 updates

3M published internal research exploring knowledge and safety of large language models (LLMs).

2023 Q3: no updates

2023 Q2

1 updates

3M partnered with Telefónica Tech and AWS to deploy conversational AI and generative AI to optimize hospital emergencies and automate clinical documentation.

2023 Q1

1 updates

3M's leadership, including Upadhyaya, highlighted broad AI adoption across business areas including supply chain and clinical documentation.

2022 Q4: no updates

2022 Q3: no updates

2022 Q2

1 updates

3M standardized and automated sales forecasting using Microsoft Azure Machine Learning, improving efficiency and forecasting speed.

2022 Q1

1 updates

Argonne and 3M applied machine learning to enhance the energy efficiency of materials manufacturing processes.

2021 Q4: no updates

2021 Q3: no updates

2021 Q2: no updates

2021 Q1: no updates

2020 Q4: no updates

2020 Q3: no updates

2020 Q2

1 updates

3M leveraged speech and AI-powered clinician-assistive solutions to reduce technology burdens in healthcare revenue cycles.

2020 Q1: no updates

2019 Q4

1 updates

3M uses machine learning on AWS to improve traditional products like sandpaper and innovate new product lines.

2019 Q3: no updates

2019 Q2: no updates

2019 Q1: no updates

2018 Q4: no updates

2018 Q3: no updates

2018 Q2

1 updates

3M selected C3.ai as its strategic AI software platform to develop AI applications in predictive healthcare and supply chain analytics.