Artificial Intelligence for Operations
A collaborative study between MIT MIMO and McKinsey & Company
Discover how to unlock value from AI in your operations
Participate in a HBR published study and discover practical approaches to scaling AI, overcoming challenges, and driving measurable impact in your operations.
What is the 2025 AI for Operations Study?
Led by MIT and McKinsey, this bi-annual study investigates how organizations integrate AI, Generative AI, and machine learning to enhance efficiency, innovation, and decision-making. By analyzing industry-wide adoption, best practices, and emerging challenges, we provide a comprehensive view of AI’s evolving impact and highlight how companies that master AI gain a sustainable competitive edge, reshaping their industries for the future.
How it works?
1. Take the Survey by March 21st
Answer key questions about your organization’s operations and AI adoption. Your responses will help us create a personalized benchmark and provide tailored insights.
2. You will be notified when your Playbook is available
We’ll analyze the results across all respondents and develop a customized playbook for your company. All analysis will be done on aggregated data and your individual responses will be only accessible by you.
3. Opportunity to dive deeper
As a participant of the survey, you have the option for a virtual session to dive deeper into the study findings and distill additional learnings for your organization.
What we learned from the past studies?
The 2023 and 2021 Artificial Intelligence for Operations Studies revealed groundbreaking insights into how leaders leverage AI and machine learning to gain a competitive edge in manufacturing, supply chain, and operations.
- Here are some highlights:
- AI as a Differentiator: Leaders in AI adoption achieve 4x the results in half the time, underscoring the efficiency and effectiveness of AI-driven operations.
- Focus on Strategic Enablers: Companies leading in AI invest heavily in developing strategic capabilities, including data management, cross-functional AI expertise, and governance frameworks.
- Scaling AI Across Operations: Leaders focus on scaling AI initiatives across the value chain, from predictive maintenance to demand forecasting and production optimization.
Harvard Business Review: What Companies Succeeding with AI Do Differently
AI leaders are pulling ahead by leveraging industry partnerships, fostering cross-department collaboration, and harnessing better data management—turning AI investments into faster, lower-risk returns.
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.
Why Participate?
- You will receive:
- A Personalized Benchmark: Compare your company’s progress against industry leaders.
- A Strategic Roadmap: Discover the enablers that will help you achieve AI excellence.
- A Customized Playbook: Receive specific focus areas tailored for your organization
A Glimpse into the Customized AI Operations Playbook
FAQ
What type 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.
Contact Us
For any additional questions or to find out more, please reach out to us at MIMO-study@mit.edu.