The MIMO-McKinsey survey is live from now until December 20, 2024
Contact us at MIMO-study@mit.edu with any questions, or refer to our FAQ section below for more information
Why Participate in the MIT MIMO-McKinsey Study?
The 2025 Artificial Intelligence for Operations Study provides industry executives data-informed guidance on how best to implement AI, Generative AI and machine learning in their manufacturing, supply chain, logistics and operations. Our 2023 Study highlighted several key insights notably, leaders in the application of AI/ML in manufacturing and operations achieve four times the results in half the operating time.
As a participant, you will receive:
- A personalized benchmark showing your company’s progress on its MI implementation journey compared to industry peers.
- A strategic roadmap showing which enablers to focus on to obtain parity with your industry peers and then become a leader.
- A detailed playbook outlining specific recommended next steps for your company.
Example pages from the 30-page Customized Implementation Plan
Who should participate
Any company who aims to improve performance in operations by leveraging cutting edge technology such as Machine Learning or AI.
AI integration is difficult, and every company encounters different challenges during implementation. For some, AI improved their business across the board, in areas from efficiencies, to revenue, to responsiveness. Meanwhile, other companies have invested significant sums and still struggle to see success with their initiatives. This survey will uncover the current best practices that businesses use to leverage AI effectively at their organizations.
Toward smart production: Machine intelligence in business operations
A detailed study of machine intelligence in industrial and manufacturing operations reveals the surprisingly different paths companies can take. But a group of leaders shares similar characteristics.
The MIMO/McKinsey MI Study featured in the Harvard Business Review
What Makes a Company Successful at Using AI?
Companies in a wide range of industries are trying to integrate analytics and data to improve their operations, with decidedly mixed results. What are top performers doing differently…
FAQ
What is the MIMO-McKinsey survey?
The longitudinal bi-annual survey is a collaborative effort led by McKinsey and MIT’s Machine Intelligence for Manufacturing and Operations (MIMO) group. It will be used to study artificial intelligence (AI) in manufacturing and operations with the goal of identifying how manufacturing and operations leaders create the right organizational capabilities, prioritize use cases with the largest KPI improvements, and track trends over time.
Why should my company participate in the survey?
Your company will gain valuable, tailored insights that outline actionable steps toward becoming an industry leader in Artificial Intelligence (AI) and Generative AI. This year’s study not only provides a benchmark of your company’s current AI capabilities against industry standards but also delivers a customized roadmap with best practices to optimize AI-driven operations. The survey goes beyond traditional metrics, addressing the unique challenges and opportunities in integrating AI and Generative AI across operations. By participating, your organization can better understand how to enhance operational efficiency, adapt to rapid technological changes, and achieve sustainable growth in an increasingly competitive landscape.
What types of questions will the survey ask?
The survey will ask a variety of questions across six main topics: company information, digitization progress, AI maturity, impact of AI, data management practices, and organizational factors enabling AI. These questions are multiple-choice and aim to understand both strategic and operational elements, such as the extent of digitization, AI use cases, data practices, and enablers of digital transformation within your company.
How long can I expect the survey to take?
Gathering the data required to fill out the survey will vary from company to company. Some companies without established data collection practices will find the process time intensive; however, gathering and inputting accurate data will provide your company with an accurate roadmap to becoming a leader. Once your organization has the data compiled, the survey should take approximately 30 minutes to answer the 45 questions.
Who in the company/division should fill out the survey?
We recommend the individual filling out the survey be someone with a comprehensive view of the AI efforts at your company or in their division (e.g. Chief Data Officer, CTO, CIO, VP of AI, VP of analytics, Division Director).
Can my company fill out more than one survey since I have multiple divisions that I would like to benchmark?
Absolutely! If you have multiple unique divisions within your company, each are allowed to fill out their own survey, which will provide more granular insights and feedback for your operations after data analysis.
What will the output of the survey be?
Customized and tailored playbook that benchmarks your company's performance compared to the rest of the industry, with best practices and a roadmap to becoming and staying a leader in machine intelligence implementation.
An overview of AI in the manufacturing and operations landscape, MIMO and McKinsey will host a joint Webinar for all survey participants to present exclusive insights.
When will the survey be launched?
The MIMO-McKinsey survey is live from now until December 20, 2024. Take it here.
Where can I find more information?
- Read about the study in the Harvard Business Review
- Learn more about the survey on McKiney’s website
- Read MIT coverage of the MIMO – McKinsey Survey at MIT News
- Control.com article discussing interview with MIMO Managing Director Bruce Lawler and the MIMO – McKinsey survey: MIT Promotes Industrial Competitiveness with MIMO Educational Program
- 2024 Symposium MIMO-McKinsey Collaborative Study (YouTube link)
Where can I find media coverage of the MIMO-McKinsey Study?
- Harvard Business Review - The results of the MIMO-McKinsey study were published in the Harvard Business Review (HBR Article). For additional reading, please also find here a more detailed version.
- Fortune - Fortune and Fortune’s CFO Daily Newsletter covered the study: Companies are turning to A.I., but C-suite collaboration is crucial for success.
- MIT News - MIT News reported on the study and also presented additional examples of relevant research.
- Podcast - Listen here for a recorded episode of McKinsey Talks Operations where new research on what makes a company successful at using AI is discussed.
- 2022 MIT MIMO Symposium - Pete Kimball presented at last years MIMO Symposium on the MIMO-McKinsey study (YouTube link)
- MIMO-McKinsey Study Participant Webinar - Pete Kimball, Ingrid Millan, and Bruce Lawler presented on the study's findings and playbook (YouTube link
Contact Us
For any additional questions or to find out more, please reach out to us at MIMO-study@mit.edu.
Thank you
Thank you to our partner companies who participated in the study, including Wayfair, Amgen, Analog Devices, McDonald’s, Cooper Standard, Bayer and 100+ leaders across technology, manufacturing, aerospace, retail, healthcare, supply chain, automation, and logistics.