Housed in the McDonough School of Business and serving as a resource for the Georgetown University community, policymakers, and academics, the AI, Analytics, and the Future of Work Initiative addresses how technology is transforming the economy, society, and the nature of work. We conduct and disseminate research that can form leaders who understand and actively engage with the challenges and opportunities of emerging workplace technologies.
We envision a world in which technological advances serve people. We actively study how new technologies can be deployed to help individuals improve their everyday life and make them more productive members of society.
By combining Georgetown’s rich tradition, global orientation, and access to policymakers through its Washington, D.C., location, with insights from an advisory group of visionaries who are at the forefront of technology and the future of work, our goal is to develop innovative solutions and solve problems for the common good in three focus areas.
The Promises and Pitfalls of AI
We develop and study AI algorithms that help both individuals and professionals make decisions. We assess the suitability of such machine learning tools across different domains, the most significant barriers to adoption, and the implications for individual privacy.
Technology and the Workplace
We assess the workforce disruption of new technologies, the need for new skills and workplace roles, and the consequent importance of equitable access to lifelong learning. We also research how companies can leverage technology to build high-performance organizations and solve previously intractable problems for the common good.
Digital Technology and Inclusive Growth
We explore how technology can be leveraged to promote equitable growth and reduce wealth inequality in society.
As artificial intelligence chatbots like ChatGPT become more powerful and widely available, they will likely affect labor market outcomes. Depending on the roles and industries, we can expect algorithms to either complement workers’ competencies and increase their productivity or reduce the employability of humans altogether. Understanding these trends is crucial for policymakers, company executives, and individuals because they will likely affect the types of jobs that will be in high demand, the types of tasks that individuals will have to perform on the job, and the skills needed to be successful in the labor market.
The Economics of Technology Professor, Stanford Graduate School of Business
Professor of Economics and Margaret MacVicar Faculty Fellow, Massachusetts Institute of Technology
AI, Analytics, and the Future of Work News
Celonis, the leader in process mining data analytics, recognized Georgetown University as a Process Mining Academic Center of Excellence for its cutting-edge use of process mining curriculum. Georgeto…
February 22nd, 2024
As the calendar year comes to a close, Georgetown’s McDonough School of Business is celebrating the successes, milestones, and accomplishments of 2023. We advanced key strategic initiatives, announc…
December 19th, 2023
Jennifer Logg researches how people can improve the accuracy of their judgments by infusing data analytics with psychology to enhance the use of algorithms. Organizations are increasingly using algori…
December 6th, 2023
Over the past few decades, much of the media and policy debate around labor issues have focused on low wages. Labor issues related to work schedules have received far less attention. In fact, 17% of t…
August 14th, 2023
Contact AI, Analytics, And Future of Work
The Advisory Group comprises a group of business leaders at the forefront of AI, Analytics, and the Future of Work. They are instrumental in setting the vision of the initiative through their advice and recommendations.
- Matt Breitfelder (Chair)
Global Head of Human Capital and Senior Partner
Apollo Group Management
- Emily Becher
Stealth stage AI startup
- Frank Cooper III
Senior Managing Director and Global Chief Marketing Officer
- Ipsita Dasgupta
Senior Executive in International Markets, Digital Content and Services
- Glenn Eisen (B’87)
Co-founder, President, and COO
- Karim El Solh (MBA’91)
Co-Founder and CEO
- Amy Goldfinger
Senior Vice President, Global Talent
- Doug Knopper (MBA’85)
- Claudy Jules
McKinsey & Company
- Larry Lerner
- Jim Manzi
Founder, CEO, and Chairman
Applied Predictive Technologies
- Jamie Merisotis
President and CEO
- Prasad Setty
Vice President, Digital Work Experience
- Trina Soske
Vice President, Global Learning & Development