Peer Review

AI and the Future of Work

Material Detail page

Reviewed:: Apr 27, 2026 by Business

Bookmark

Ratings

Overall Rating:

Content Quality:

Effectiveness:

Ease of Use:

Overview:

The presentation is about "AI and the future of work", featuring two nobel laureates Daron Acemoglu, a professor of economics at MIT, Paul Krugman, a former New York Times columnist, and research professor of economics at the CUNY Graduate Center, Danielle Li, David Sarnoff Professor of Management of Technology at MIT, and Zeynep Tufekci, professor of sociology and public affairs at Princeton University and a columnist. These guests have recent works on AI and Data analytics, the transformation of fundamental firm activities, and investment in research and development. They discussed the rapid development of Artificial Intelligence, causing anxiety about how our society and daily lives may change in the future. There is anxiety about losing jobs, AI replacing jobs, and the effects on workplace conditions, wages, unions, and the overall economy, as well as the new jobs that might be created. This was moderated by Steven Greenhouse, former New York Times labor reporter and author of Beaten Down, Worked Up: The Past, Present, and Future of American Labor.

Type of Material:

Presentation

Recommended Uses:

The material could be used as background information for a discussion on the pros and cons of A or an assignment in which a student is asked to develop an argument regarding the impact of AI on the workplace from a leadership’s point of view versus an employee’s perspective.

Technical Requirements:

Access to YouTube, Internet Browser such as Microsoft Edge or Fire Fox

Identify Major Learning Goals:

After viewing this learning material, learners will be able to:

Explain the difference between Artificial Intelligence (AI) and Artificial General Intelligence, (AGI)
Describe how AI can be used in the workplace
Identify which occupations are most affected by AI.
Explain the differences between the engagement model of AI and the coding model of AI
Describe the impact of AI on workers.
Enhance research efficiency.

Target Student Population:

Professionals, College Upper Division, and Graduate School students enrolled in Business, Management, Organizational Behavior and Development programs.

Prerequisite Knowledge or Skills:

Technological skills and computer knowledge are very important

Content Quality

Rating:

Strengths:

The content can be used for understanding current issues surrounding the use of AI to enable students have informed discussions regarding its use in the workplace.
A panel of experts are answering questions from the moderator and the audience based on their research.
The learning material explains different types of AI and how it can be used in the workplace.
Then, the impact of AI on workers and organizational development is discussed.
As, a result the material enables students to view the impacts of AI from different perspectives.
It is engaging, accurate, aligned with learning goals, and accessible.
It also improves students' outcomes, and it's reader-friendly.

Concerns:

None

Potential Effectiveness as a Teaching Tool

Rating:

Strengths:

If instructors provided assignments, the material can be integrated into sociology, psychology, economics, technology, business, and law curricula to discuss the impact of AI.
As a teaching tool, it boosts students' outcomes by increasing engagement. It activates hard thinking and provides actionable feedback.
It is easy to integrate into a curriculum assignment.
It identifies learning objectives.

Concerns:

The video cannot be used to assess student learning objectives without an instructor provided exams and assignments.

Ease of Use for Both Students and Faculty

Rating:

Strengths:

The video is easy to access.
Closed captioning is available.
The speakers were engaging.
It is meets accessibility requirements.
It has clear instructions.

Concerns:

The video was not interactive.

Other Issues and Comments:: This tool can improve students' progress. With the high-quality interactions, high expectations, and its formative assessments to adapt instruction.
Creative Commons: