Back to Generative AI: Labor and the Future of Work
University of Michigan

Generative AI: Labor and the Future of Work

This course gives a broad overview of the impact that generative artificial intelligence (AI) could have on jobs and how it can be used to support everyday tasks. As the use of generative AI increases, organizations are finding new ways to augment their work, impacting the number and types of jobs we can expect in the future. In “Generative AI: Labor and the Future of Work,” you’ll explore how generative AI can support workers in all industries, as well as the labor that goes into developing and managing these systems. Explore what the “future of work” could mean for both employees and employers and how these systems can impact work quality, creativity, and the labor market. You’ll also look at how the global digital divide could impact tool adoption for different groups across the world. By analyzing the adoption and implementation of generative AI in the workplace, you will better understand how these tools could shift how we work together.

Status: Leadership and Management
Status: digital literacy
BeginnerCourse3 hours

Featured reviews

PD

5.0Reviewed Nov 30, 2025

A solid guide on building AI that’s safe, transparent, and actually helpful.

TW

5.0Reviewed Sep 22, 2024

Even if you're already working with AI, this course offers new facts to learn about its current state as well as future possibilities. Discover the evolving roles we can play in the development of AI.

AL

5.0Reviewed Jul 21, 2024

The future of work can be codetermined by those workers who have the analytical and creative skills, to think for themselves.

KA

5.0Reviewed May 26, 2025

Overall, the course delivers valuable discussions on AI’s role in shaping the future of work, while leaving room for continued exploration. What aspects did you find most insightful?

All reviews

Showing: 15 of 15

Dr. Harry Petaway
5.0
Reviewed Nov 14, 2024
Tina Wickenkamp
5.0
Reviewed Sep 22, 2024
Francesca Fancoli
5.0
Reviewed Jul 21, 2024
Kashif Ali Akhtar
5.0
Reviewed May 26, 2025
Abhinav Lal
5.0
Reviewed Jul 21, 2024
Ito Takehiko
5.0
Reviewed Feb 9, 2025
Pooja Daswani
5.0
Reviewed Nov 30, 2025
Mumana Ahmed
5.0
Reviewed Jul 11, 2024
István Simor
5.0
Reviewed Oct 31, 2025
Miriam Azevedo
5.0
Reviewed Aug 29, 2025
Sathish K
5.0
Reviewed Oct 14, 2025
Manishkumar Gujar
5.0
Reviewed Jun 30, 2025
石志明
5.0
Reviewed Mar 26, 2025
Ranjeet Thakur
3.0
Reviewed Jul 28, 2025
Arjay Maniego
1.0
Reviewed Mar 3, 2025