Rudy Lai

AI @ 3M

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

Summary

  • Since 2018, 3M has steadily integrated AI and machine learning across its operations, ranging from predictive healthcare and supply chain analytics to advanced materials science and digital assistant tools, reflecting increasing adoption and expansion through 2026.
  • Leadership such as Paul Cardno (Global Digital Innovation Lead) and executive mentions of R&D spending (e.g., $3.5B from 2025–2027) show a strategic commitment to AI-driven innovation, highlighted by new generative AI tools like 'Ask 3M' and AI-powered solutions accelerating product development and operational efficiency.
  • 3M's AI initiatives have driven improvements in manufacturing efficiency, healthcare clinical documentation, data center infrastructure, and customer innovation, with mature AI use cases focusing on increasing revenue and reducing costs, especially through automation, predictive analytics, and advanced materials optimization.

VIBE METER

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

Customer Innovation
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
3M introduces AI-powered digital assistants like 'Ask 3M' to help customers quickly find design solutions across its vast product portfolio, accelerating innovation and time-to-market. [1][2][3]
Data Center Efficiency
2025
Traditional
Generative
Agentic
Outcome
Costs
3M develops innovative AI infrastructure components such as sensor-enabled cabling, optical fiber interconnects, and containment films to enhance data center energy efficiency and performance. [1][2]
Material Innovation
2025
Traditional
Generative
Agentic
Outcome
Revenue
3M leverages AI and machine learning to accelerate discovery and optimization of new materials, improving product development speed and enabling advanced manufacturing processes. [1][2][3]
Supply Chain Optimization
2024
Traditional
Generative
Agentic
Outcome
Costs
3M applies AI and machine learning extensively in its supply chain operations to enhance efficiency, reduce costs, and optimize production schedules. [1][2]
Clinical Documentation
2023
Traditional
Generative
Agentic
Outcome
Costs
3M uses AI-powered speech recognition and natural language processing tools to automate clinical documentation, improving the accuracy and speed of healthcare records for clinicians. [1][2][3]
Sales Forecasting
2022
Traditional
Generative
Agentic
Outcome
Revenue
3M standardizes and automates sales forecasting by leveraging machine learning models via Azure, enabling faster and more accurate demand planning and inventory management. [1]

Timeline

2026 Q1

2 updates

3M launches AI-powered digital assistant tools aiding customers with design challenges; AI accelerates product development reducing time from weeks to days.

2025 Q4

1 updates

3M prepares to debut AI-powered digital assistant 'Ask 3M' at CES 2026 alongside expanded AI-enabled innovation platforms; discussions of AI-driven job impact emerge.

2025 Q3

2 updates

3M advances AI infrastructure innovations with products enhancing data center efficiency, reliability, and energy savings; optical fiber interconnects enable terabit speeds with significant energy efficiency gains.

2025 Q2

2 updates

3M leads AI-first transformation strategy with partners like Salesforce; AI enables smarter factories optimizing safety, production, and efficiency.

2025 Q1

1 updates

3M commits $3.5B on R&D including AI platforms like the digital materials hub; AI will fundamentally change research and new-product development.

2024 Q4

1 updates

3M emphasizes AI use only for complex problems unsolvable by other means; Paul Cardno leads digital innovation; announces AI-powered tools for customer innovation.

2024 Q3

2 updates

3M applies AI and generative AI extensively in supply chain to boost efficiency and reduce costs, also integrating ML to manage clinical denials enhancing revenue cycle management.

2024 Q2

2 updates

3M's AI initiatives set to expand significantly in manufacturing, healthcare, and other areas, leveraging AI and ML to transform operations.

2024 Q1: no updates

2023 Q4

1 updates

3M discusses AI safety and knowledge of large language models (LLMs) internally to understand AI capabilities better.

2023 Q3: no updates

2023 Q2

4 updates

3M works with Telefónica Tech and AWS to optimize hospital emergency services and advance conversational and generative AI for healthcare clinical documentation.

2023 Q1

1 updates

3M's AI adoption covers various business areas to improve products and processes, emphasizing use in healthcare and manufacturing.

2022 Q4: no updates

2022 Q3: no updates

2022 Q2

2 updates

3M standardizes and automates sales forecasting using Azure Machine Learning; AI evangelist discusses clinical documentation improvements via AI.

2022 Q1

1 updates

3M collaborates with Argonne National Lab to enhance material manufacturing processes through machine learning to improve energy efficiency.

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

2020 Q1: no updates

2019 Q4

1 updates

3M leverages AWS machine learning to innovate on legacy products like sandpaper and explore new fields.

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 partners with C3.ai to develop and deploy AI applications starting with predictive healthcare and supply chain analytics.