Consortium Membership

These industry members steer the Consortium’s vision and power bold research ideas from across MIT.

Industry leaders will have broad access to MIT’s world-renowned talent and strategic research.

The Generative AI Impact Consortium operates under a two-tiered membership model, with all members getting exposure to MIT’s leading researchers and students working on generative AI. All research resulting from consortium projects will be openly released and accessible.


“ADI is pioneering Physical AI, embedding intelligence where the physical world meets computation. Through the MIT GenAI Impact Consortium, we aim to accelerate ideation and breakthroughs in physics-driven reasoning for autonomous systems, from humanoid robots to automotive and beyond. We look forward to working with bright MIT faculty and students to design AI that operates under the toughest constraints of power and latency, enabling real-time performance at the edge.”

— Max Versace, VP, Emergent AI of Analog Devices (ADI)

Focus Areas

Edge AI and embedded systems

Physics-Informed AI

AI for autonomous systems

Humanoid robotics

Anomaly detection


“We see a tremendous opportunity to innovate at the speed of AI and, leveraging The Coca-Cola Company’s global footprint, make these cutting-edge solutions accessible to everyone. Both MIT and The Coca-Cola Company are deeply committed to innovation, while also placing equal emphasis on the legally and ethically responsible development and use of technology.”

— Pratik Thakar, global vice president and head of generative AI

Focus Areas

AI for supply chain optimization

Sustainable manufacturing

Consumer behavior modeling


“Generative AI is transforming how organizations leverage data to drive smarter, faster decisions, especially in healthcare, where the stakes are high and the impact is profound. The InterSystems team is excited to leverage our experience in scalable data infrastructure and AI to help the consortium advance real-world applications that prioritize both innovation and responsibility.”

— Scott Gnau, vice president of data platforms

Focus Areas


“Our clients are moving quickly to harness the transformative potential of generative AI—not just to boost productivity, but to fundamentally rewire how their businesses operate. McKinsey research shows nearly 80 percent of organizations are now using generative AI—but most still need to unlock its impact at scale to benefit their stakeholders. By collaborating with the MIT Generative AI Impact Consortium, McKinsey aims to help shape the next wave of innovation and ensure generative AI delivers lasting impact and true productivity gains for both business and society.”

— Delphine Zurkiya, senior partner at McKinsey

Focus Areas

AI for operations management

Consumer behavior modeling

Cross-sector applications

McKinsey & Company serves as an Advisory Member to the consortium.


“This type of collaboration between academics, practitioners, and labs is key to ensuring that generative AI evolves in ways that meaningfully benefit society. OpenAI is eager to work alongside MIT’s Generative AI Consortium to bridge the gap between cutting-edge AI research and the real-world expertise of diverse industries.”

— Anna Makanju, vice president of global impact at OpenAI

AI alignment and safety

Multimodal generative systems

Responsible deployment of LLMs

Open-source AI collaboration


“By collaborating with MIT and leveraging the SK AI R&D Center as a technology control tower, we aim to forecast next-generation generative AI technology trends, propose innovative business models, and drive commercialization through academic-industrial collaboration.”

— Suk-geun (SG) Chung, SK Telecom executive vice president and chief AI global officer

Focus Areas


“The consortium enables Tata to collaborate, share knowledge, and collectively shape the future of generative AI, particularly in addressing urgent challenges such as ethical considerations, data privacy, and algorithmic biases.”

— Aparna Ganesh, vice president of Tata Sons Ltd.

Focus Areas


“The strength of the consortium is its unique combination of industry leaders and academia, which fosters the exchange of valuable lessons, technological advancements, and access to pioneering research. TWG Global is keen to share its insights and actively engage with leading executives and academics to gain a broader perspective of how others are configuring and adopting AI, which is why we believe in the work of the consortium.”

— Drew Cukor, head of data and artificial intelligence transformation at TWG

Focus Areas

AI for climate resilience

Secure AI infrastructure

Cross-sector AI applications