AI @ 3M
Summary
- 3M has progressively expanded its AI adoption from predictive healthcare and supply chain analytics in 2018 to advanced AI and generative AI applications powering innovation across manufacturing, medical documentation, and data center technologies by 2025.
- Notable leaders like Paul Cardno and spokespersons such as Banovetz have highlighted 3M's strategic AI investments, including a $3.5 billion R&D spend from 2025 to 2027 and a digital materials hub with over 300 product model combinations, emphasizing complex problem solving and innovation acceleration.
- AI use cases at 3M evolved from machine learning-driven product innovation and clinical AI applications in healthcare to generative AI-fueled solutions for automated documentation, efficient hospital emergency management, sales forecasting automation, and advanced materials science for semiconductor manufacturing.
VIBE METER
9 AI Use Cases at 3M
Data Center Efficiency2025
Materials Innovation2025
Supply Chain2024
Denial Management2024
Emergency Optimization2023Customer Facing
Automated Notetaking2023
Sales Forecasting2022
Clinical Documentation2020
Timeline
2025 Q4
3M advanced materials science innovations for semiconductor manufacturing to support AI chip growth, focusing on ultra-precise component connections.
2025 Q3
3M introduced advanced solutions for data centers targeting efficiency, speed, and reliability to meet evolving AI infrastructure demands.
2025 Q2
3M emphasized AI-first transformation strategy engaging executives at the 3M Open and described smarter factory systems enabled by AI for optimized production, efficiency, and safety.
2025 Q1
3M announced $3.5 billion R&D investment for 2025-2027, launched a digital materials hub with 300+ product models, and emphasized AI's role in new product development and research transformation.
2024 Q4
Paul Cardno, 3M's global digital innovation lead, emphasized AI is applied only to complex problems that cannot be solved by other means.
2024 Q3
3M revolutionized operations using AI and generative AI in manufacturing supply chain optimization, cost reduction, and mitigating front-end clinical denials to improve revenue.
2024 Q2
AI initiatives expanded significantly in healthcare and manufacturing sectors, focusing on enhanced imaging accuracy, drug discovery, and operational efficiency.
2024 Q1: no updates
2023 Q4
3M discussed large language models (LLMs) knowledge and AI safety concerns publicly, reflecting thought leadership in AI discourse.
2023 Q3: no updates
2023 Q2
Multiple partnerships launched to apply conversational and generative AI in healthcare, including automated medical documentation and optimized hospital emergency management.
- Telefonica: Telefónica Tech and 3M optimise hospital emergencies with AI
- Forbes: Amazon & 3M Will Use Generative AI To Ease Documentation For Healthcare Providers
- STAT: Amazon partners with 3M to advance conversational AI in healthcare
- Fierce Healthcare: 3M taps AWS for conversational AI to advance medical notetaking
2023 Q1
3M publicly highlighted broad AI and machine learning adoption across multiple business areas, emphasizing continuous innovation.
2022 Q4: no updates
2022 Q3: no updates
2022 Q2
3M standardized and automated sales forecasting using Microsoft Azure Machine Learning; also highlighted AI evangelist roles in clinical documentation improvement.
2022 Q1
Collaboration with Argonne National Laboratory leveraged machine learning and advanced computing to enhance manufacturing processes for improved 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
3M integrated speech and AI-powered clinician-assistive solutions to reduce technical burdens in the healthcare revenue cycle by enhancing clinical intelligence.
2020 Q1: no updates
2019 Q4
3M employed machine learning on AWS to improve existing products like sandpaper and innovate in new fields.
2019 Q3: no updates
2019 Q2: no updates
2019 Q1: no updates
2018 Q4: no updates
2018 Q3: no updates
2018 Q2
3M selected C3.ai as its strategic AI software platform to develop AI applications starting with predictive healthcare and supply chain analytics.