Building a future of opportunity, Strengthening communities, & preparing the workforce for aN AI-powered economy.

PATH seeks to expand access to AI education and workforce opportunities. We partner with community colleges, universities, industry leaders, and government to design scalable, replicable career pathways that prepare learners for the future of work. Through hands-on, industry-aligned AI training, students gain stackable credentials, real-world experience, and the skills needed to thrive in high-demand, AI-powered careers.  Our mission is to ensure that every learner – no matter their background - has the opportunity to secure a job that is highly in-demand.

Join Us

Path Summit 2026
‍April 3-4, 2026

Georgia State University (GSU)

Buckhead Center in Atlanta, GA
3348 Peachtree Rd NE, Atlanta, GA 30326

‍This two-day working summit convenes industry guests, community colleges, Georgia State University, MIT and other key stakeholders to shape the future of AI career education. Together, we will launch a co-design of two-year AIx career pathways that equip students with both practical and responsible AI skills, while building a scalable, shared implementation model tailored to the community college context.

LEARN MORE
AI APPRENTICESHIPS
CAREER PATHWAYS
COMMUNITY COLLEGES
INDUSTRY LEADERS
GOVERNMENT AGENCIES
UNIVERSITIES
AI APPRENTICESHIPS
CAREER PATHWAYS
COMMUNITY COLLEGES
INDUSTRY LEADERS
GOVERNMENT AGENCIES
UNIVERSITIES

Pathways for AI Training & Hiring

PATH is at the start of a bold journey. Our vision is to close America’s AI skills gap by building a set of practical, AI-enabled career pathways offered at community colleges and other regional institutions. This initiative will bring together corporate, civic, philanthropic and academic institutions to design industry-aligned curriculum, create stackable credentials, and open doors to hands-on learning experiences.

PATH is a new model for building America’s AI-skilled workforce. The program delivers affordable, hands-on AI education that leads directly to good careers. Designed with input from industry, government, and educators, PATH closes the skills gap, empowers communities, and ensures that all Americans can thrive in an economy transformed by AI.
AI APPRENTICESHIPS
CAREER PATHWAYS
COMMUNITY COLLEGES
INDUSTRY LEADERS
GOVERNMENT AGENCIES
UNIVERSITIES
AI APPRENTICESHIPS
CAREER PATHWAYS
COMMUNITY COLLEGES
INDUSTRY LEADERS
GOVERNMENT AGENCIES
UNIVERSITIES
Identifying In-Demand Skills for the AI-Powered Workforce
Collaborating with industry and government to identify practical AI skills and shape customized, stackable micro-credentials that lead directly to better jobs.
Designing Action Learning paths For AI-Training
Creating team-based hands-on learning tracks in data science, generative & agentic AI, deep learning, and introductory AI training - integrating technical, professional, and responsible design skills with real-world applications with industry stakeholders.
Empowering educators, Transforming Institutions
Launching modular open education resources with instructor training programs to train learners in industry-aligned skills, whether for entry-level jobs or up-skilling employees transforming 2- and 4-year colleges to AI training engines for the nation.
Scaling
impact through regional hubs
Establishing state-based university-led hubs, beginning in Massachusetts and Georgia, to connect 2- and 4-year colleges, with employers in private and public sectors, and other local opportunities.
convening ecosystems of stakeholders
Collaborating with industry, government, and academia to co-create the program from the ground up, ensuring relevance, adaptability, and broad impact in AI training, hiring, and upskilling jobs.

AI-Powered Careers

Expanding Access & OpportunitY through Apprenticeships

Developing AI-enabled career pathways aligned with industry needs that can be delivered nationwide through community colleges and regional institutions, equipping thousands of learners with industry-ready AI skills for tomorrow’s jobs. Enabling paid, project-based apprenticeships embedded in training and work-learn tracks, leading directly to AI-enabled careers starting with sectors like healthcare, fintech, and logistics.

Currently charting paths in AI and logistics, finances, healthcare, manufacturing

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Manufacturing

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Logistics

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Finance

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Healthcare

PATH LEADERSHIP

PATH is headquartered at MIT RAISE, in collaboration with STEP and the MIT Sloan School of Management. The initiative is directed by Professor Cynthia Breazeal, dean of Digital Learning at MIT and director of MIT RAISE, together with faculty, researchers, and educators across MIT. This cross-institute team combines expertise in AI, education, workforce development, and the future of work to design scalable pathways that prepare learners for AI-enabled careers.

Cynthia Breazeal, MIT

Director, MIT RAISE Initiative; MIT dean for digital learning, MIT Open Learning

Breazeal leads RAISE to advance research and innovation at the intersection of AI, social empowerment, and education and to foster diversity and inclusivity in an AI literate society. Her research investigates new ways for K-12 students to learn about AI concepts, practices and ethics by designing, programming, training and interacting with robots, AI toolkits and other technologies. Her research also develops personalized learning companions for language, literacy and social-emotional development.

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Eric Klopfer, MIT

Director, STEP Lab; Co-Director, MIT RAISE Initiative

Dr. Eric Klopfer is Professor and Director of the STEP Lab and The Education Arcade at MIT. He is also co-director of MIT's RAISE initiative in AI education. His research focuses on technology and pedagogy for building understanding of science, technology, engineering and mathematics and systems. His lab has produced software (from casual mobile games to MMOs to AR/VR) and platforms (including StarLogo Nova and Taleblazer) used by millions of people, as well as online courses that have reached hundreds of thousands.

MIT STEP

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Tom Malone, MIT

Founding Director, MIT Center for Collective Intelligence

Thomas W. Malone is the Patrick J. McGovern (1959) Professor of Management at MIT Sloan and founding director of the MIT Center for Collective Intelligence. He is a leader in organizational design, focusing on how information technology can create new organizational structures. Malone is also a noted author, with his books including the acclaimed The Future of Work and Superminds. He has published over 100 articles, co-founded four software companies, and holds 11 patents.

Arun Rai, GSU

Regents’ Professor, Howard S. Starks Distinguished Chair, Director, Center for Digital Innovation

His current work focuses on developing responsible AI solutions that maximize human and organizational potential while minimizing risks. Endeavors include understanding how AI is transforming jobs and the demand for skills in labor markets; AI augmentation of individuals and collectives; AI fairness; AI for personalized, scalable learning including the design and evaluation of large-language model tutors for students with diverse learning needs in computing education, among others.

Balasubramaniam Ramesh, GSU

Regents' Professor, George E. Smith Eminent Scholar's Chair

Ramesh's research focuses on modeling and supporting knowledge intensive activities in complex organizational contexts. He has investigated these topics in a wide variety of domains such as large-scale and agile systems development, new product development, and supply chain management. His work draws from organizational theories as well as methods and tools from artificial intelligence and has used diverse methods (e.g., design science, experiments, field studies, qualitative methods). Ramesh's work has been funded by several grants of over US $ 18 million from leading government and private industry sources, such as the NSF, DoD, DARPA, ONR, ARL, Axim Collaborative / MIT and Accenture. He received the AIS Impact Award in 2023 for his technological impact, particularly for the use of process knowledge to improve the quality of Information Systems Development.

PATH LeADERSHIP

PATH is headquartered at MIT RAISE, in collaboration with STEP and the MIT Sloan School of Management. The initiative is directed by Professor Cynthia Breazeal, dean of Digital Learning at MIT and director of MIT RAISE, together with faculty, researchers, and educators across MIT. This cross-institute team combines expertise in AI, education, workforce development, and the future of work to design scalable pathways that prepare learners for AI-enabled careers.

Cynthia Breazeal, MIT

Director, MIT RAISE Initiative; MIT dean for digital learning, MIT Open Learning

Breazeal leads RAISE to advance research and innovation at the intersection of AI, social empowerment, and education and to foster diversity and inclusivity in an AI literate society. Her research investigates new ways for K-12 students to learn about AI concepts, practices and ethics by designing, programming, training and interacting with robots, AI toolkits and other technologies. Her research also develops personalized learning companions for language, literacy and social-emotional development.

x.com

Eric Klopfer, MIT

Director, STEP Lab; Co-Director, MIT RAISE Initiative

Dr. Eric Klopfer is Professor and Director of the STEP Lab and The Education Arcade at MIT. He is also co-director of MIT's RAISE initiative in AI education. His research focuses on technology and pedagogy for building understanding of science, technology, engineering and mathematics and systems. His lab has produced software (from casual mobile games to MMOs to AR/VR) and platforms (including StarLogo Nova and Taleblazer) used by millions of people, as well as online courses that have reached hundreds of thousands.

MIT STEP

x.com

Tom Malone, MIT

Founding Director, MIT Center for Collective Intelligence

Thomas W. Malone is the Patrick J. McGovern (1959) Professor of Management at MIT Sloan and founding director of the MIT Center for Collective Intelligence. He is a leader in organizational design, focusing on how information technology can create new organizational structures. Malone is also a noted author, with his books including the acclaimed The Future of Work and Superminds. He has published over 100 articles, co-founded four software companies, and holds 11 patents.

Arun Rai, GSU

Regents’ Professor, Howard S. Starks Distinguished Chair, Director, Center for Digital Innovation

His current work focuses on developing responsible AI solutions that maximize human and organizational potential while minimizing risks. Endeavors include understanding how AI is transforming jobs and the demand for skills in labor markets; AI augmentation of individuals and collectives; AI fairness; AI for personalized, scalable learning including the design and evaluation of large-language model tutors for students with diverse learning needs in computing education, among others.

Balasubramaniam Ramesh, GSU

Regents' Professor, George E. Smith Eminent Scholar's Chair

Ramesh's research focuses on modeling and supporting knowledge intensive activities in complex organizational contexts. He has investigated these topics in a wide variety of domains such as large-scale and agile systems development, new product development, and supply chain management. His work draws from organizational theories as well as methods and tools from artificial intelligence and has used diverse methods (e.g., design science, experiments, field studies, qualitative methods). Ramesh's work has been funded by several grants of over US $ 18 million from leading government and private industry sources, such as the NSF, DoD, DARPA, ONR, ARL, Axim Collaborative / MIT and Accenture. He received the AIS Impact Award in 2023 for his technological impact, particularly for the use of process knowledge to improve the quality of Information Systems Development.

Diagram of education model bringing together industry, government, academia, and community colleges.

Our model

A nEtwork of employers, Government agencies & non-profit organizations

This effort is built in close partnership with community colleges, 4-year colleges, and industry leaders. Collaborators include employers, government agencies, and nonprofit organizations working together to shape AI skills standards, co-create curriculum, and provide apprenticeships and work-based learning opportunities. Regional university hubs, beginning with MIT in Massachusetts and Georgia State University in Georgia, anchor the model and connect local colleges and ecosystems to national resources and expertise.
PATH for Massachusetts logo frame
PATH for Georgia logo frame

Join us in our expanding network to build america's AI-powered Workforce for Upward Mobility & 
Shared Prosperity

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