We may earn an affiliate commission when you visit our partners.

Generative AI

Labor and the Future of Work

Merve Hickok

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.

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Two deals to help you save

Save money when you learn. Here are two deals and offers that may be relevant to this course.

All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid until December 2

Annual Subscription

Invest in your career growth and save. Start your annual subscription to Coursera Plus and access 10,000+ programs.

Valid until March 12, 2027

Save 40% Off 3 Months

Access thousands of top-rated learning programs with a Coursera Plus monthly subscription and take 40% off 3 months for a limited time.

What's inside

Syllabus

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Explores the potential impact of generative AI on various industries and job roles

Examines the use of generative AI to support workers and augment their tasks

Taught by instructors who are experts in the field of generative AI and its applications

Analyzes the potential implications of generative AI on the future of work and the job market

Students should have a basic understanding of AI concepts and their applications

May require additional time and effort to complete assignments and assessments

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.

Save

Reviews summary

Generative ai's workplace transformation

According to students, this course offers a highly relevant overview of generative AI's impact on employment. Learners gain a clear understanding of how these technologies reshape the future of work, impacting both employees and employers. The course explores labor augmentation and the nuances of the global digital divide. It's noted for providing thought-provoking discussions on work quality and creativity, making it a valuable resource for professionals navigating technological shifts.

Thoughtfully covers complex aspects like equity in tech adoption.

"I particularly valued the exploration of the global digital divide and its impact on tool adoption worldwide."

"The course brought up important considerations beyond just the technology, like fairness and access to AI tools."

"It made me think critically about the broader societal and ethical implications of AI's spread."

Well-suited for professionals of varied backgrounds.

"As a professional, I found the content directly applicable to my field, even without a deep tech background."

"The course explained complex concepts in a way that was easy for me to grasp, connecting them to real-world work scenarios."

"It's perfect for anyone trying to make sense of AI's implications for their industry and current job."

Offers a broad and insightful exploration of AI's societal impact.

"I appreciated the broad overview, covering many facets of AI's impact on labor and the economy."

"It gave me a holistic view, from supporting tasks to managing systems, which was very helpful for my understanding."

"The course touched upon diverse areas like work quality, creativity, and the broader labor market."

Focuses on real-world applications and workplace transformations.

"I gained a much better understanding of how these tools could shift how we work together in practice."

"The course really helped me visualize what the 'future of work' could mean for my role and company's operations."

"It presented practical ideas on how generative AI can support workers across various industries effectively."

Provides critical, timely insights into AI's impact on jobs.

"This course provided me with very relevant insights into how AI will shape jobs and the workforce."

"I found the discussions on labor augmentation extremely timely and important for my career development."

"The focus on the future of work with generative AI is precisely what I needed to understand for my professional role."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Generative AI: Labor and the Future of Work with these activities:

Review definitions of AI and machine learning

Show steps

Starting the course with a strong foundation in AI and machine learning will boost your understanding of generative AI concepts.

Browse courses on Artificial Intelligence

Show steps

Read the key definitions of AI and machine learning.
Summarize the differences between AI and machine learning.
Provide examples of AI and machine learning applications.

Explore generative AI tools

Show steps

Experimenting with generative AI tools will give you hands-on experience and a deeper understanding of their capabilities and limitations.

Browse courses on Generative AI Tools

Show steps

Sign up for free accounts on popular generative AI platforms.
Explore the different features and functionalities of each platform.
Generate your own content using the tools and analyze the results.

Read a book about the ethical implications of generative AI

Show steps

Understanding the ethical implications of generative AI is crucial for responsible development and use. This book will provide you with valuable insights.

View The Ethical Algorithm: The Science of Socially... on Amazon

Show steps

Read the book and take notes on the key ethical issues raised.
Discuss the ethical implications with classmates or colleagues.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Participate in a peer review of generative AI projects

Show steps

Peer review will provide you with valuable feedback and help you refine your understanding of generative AI project development.

Browse courses on Peer Review

Show steps

Find a peer or group of peers to review your generative AI project.
Exchange projects and provide constructive feedback on each other's work.
Incorporate the feedback into your own project.

Develop a hypothetical generative AI product

Show steps

Creating a hypothetical generative AI product will challenge you to apply the concepts learned in the course and develop your own innovative ideas.

Browse courses on Product Design

Show steps

Identify a problem or opportunity that generative AI could address.
Research existing generative AI products and technologies.
Develop a concept for your hypothetical product, including its features, target audience, and potential impact.
Create a prototype or demo of your product (optional).

Volunteer for a non-profit organization that uses generative AI

Show steps

Volunteering will provide you with practical experience in using generative AI for social good and give back to the community.

Browse courses on Volunteering

Show steps

Research non-profit organizations that use generative AI.
Contact the organizations and inquire about volunteer opportunities.
Participate in volunteer activities that involve using generative AI.

Analyze a case study on the impact of generative AI on a specific industry

Show steps

Analyzing a case study will give you insights into the real-world applications and potential implications of generative AI in various industries.

Browse courses on Case Studies

Show steps

Select an industry that is being impacted by generative AI.
Find a case study or research paper that analyzes the impact of generative AI on that industry.
Read and summarize the case study, highlighting the key findings and insights.
Discuss the implications of the case study for the future of work and the industry.

Career center

Learners who complete Generative AI: Labor and the Future of Work will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Generative AI: Labor and the Future of Work.

Labor Economics

Save

Widely used textbook for undergraduate and graduate labor economics courses. It provides a comprehensive overview of labor market theory and empirical evidence, making it excellent for gaining a broad understanding. It valuable reference tool throughout one's studies and professional career.

Generative AI

Two deals to help you save

What's inside

Syllabus

Traffic lights

Save this course

Reviews summary

Generative ai's workplace transformation

Activities

Career center

Reading list

Share

Similar courses

Coursera Buyer Protection & Guarantee

7-Day Free Trial & Free Audit

14-Day Refund Guarantee

Verified Academic & Industry Partner