Raj Choudhury

This course is available on the CEMS Exchange, Global MSc in Management, Global MSc in Management (CEMS MIM), Global MSc in Management (MBA Exchange), MBA Exchange, MSc in Human Resources and Organisations (Human Resource Management/CIPD), MSc in Human Resources and Organisations (International Employment Relations/CIPD), MSc in Human Resources and Organisations (Organisational Behaviour), MSc in Management (1 Year Programme) and MSc in Marketing. This course is available with permission as an outside option to students on other programmes where regulations permit. This course uses controlled access as part of the course selection process. For information on controlled access courses, including eligibility, application processes, deadlines, and departmental contact details, please refer to the Controlled Access Courses webpage.

How to apply:

Places on oversubscribed courses will be allocated via a random ballot process with priority given to students with the course in their Programme Regulations, followed by other Department of Management students, then students from elsewhere in the school. Providing you apply before the Department deadline of 10am on Monday 28 September 2026, the time you applied will not be taken into account. Please be aware that places on high demand courses cannot be guaranteed. By submitting an application, students are confirming that they meet any pre-requisites specified. Providing an additional written statement will not aid a student’s chances of being accepted onto a course, and statements are not read.

For further information and updates on course availability during Week 1, please see the Department of Management Electives Moodle page.

Deadline for application:

Please apply by 10am on Monday 28 September 2026 with your first course choices. No allocations are made before this date and time.

For queries contact:

Please view the Department of Management Electives page for contact emails.

The course will comprise two main sections:

Section 1 (‘Future of Work Technologies’) includes five lectures and seminar sessions and examines how work and careers should be managed in light of implementing disruptive technologies such as AI, automation and digital twin technologies. Section 1 introduces students to Human-AI configurations, the importance of domain expertise in maximising benefits from AI, the concept of algorithm aversion, how digital twins are disrupting jobs in deskless and semi-desk settings, and implications for skill development. It also provides a deep dive into what Generative AI may mean for productivity, skills, jobs and careers, introducing students to the concept of codified selves, micro-AI representations (e.g., personalised bots) that may substitute and/or complement individuals, and considers what the emerging agentic AI phenomenon means for workers and organisations.

Section 2 (‘Work Arrangements for Global Connected Workplaces’), includes five lectures and seminar sessions and examines  where work is performed, talent mobility, and how organisations can hire the best talent globally. Section 2 introduces students a framework on frictions to migration and provides a deep-dive into work-from-anywhere (WFA), arguing that WFA can be a game-changing talent strategy and a potential win-win-win for workers, organisations and society if designed and implemented well. Students will engage in structured debates on the pros and cons of remote, hybrid and in-person work arrangements, the effectiveness of ‘Return to Office’ (RTO) mandates, and the exciting possibility of reverse brain-drain to smaller and cheaper towns. Drawing on insights from a recent book written by the course leader, students will be introduced to best practices that maximise the benefits and mitigate the challenges of WFA, alongside discussion of the digital nomad phenomenon and the changing global migration policy environment. By the end of this course, students will be equipped with a framework on how to hire and locate the best of global talent for their team, given task, tenure, and team characteristics. The final lecture and seminar session also reviews the entire course, integrating the key issues covered by the course.

The course is designed to be inclusive by combining lectures with seminar-based discussion and applied exercises, enabling students with different strengths and prior experience (e.g., varying technical familiarity, professional backgrounds, and confidence in spoken participation) to engage meaningfully with the material through multiple modes of learning and contribution.

15 hours of lectures and 15 hours of seminars in the Winter Term.

This course has a reading week in Week 6 of Winter Term.

In its Ethics Code, LSE upholds a commitment to intellectual freedom. This means we will protect the freedom of expression of our students and staff and the right to engage in healthy debate in the classroom.

Students will receive feedback on the quality of their class participation after the first three sessions. They will also have the opportunity to complete a formative exam, which will serve as the sample paper.

• Choudhary, V., Marchetti, A., Shrestha, Y. R., & Puranam, P. (2025). Human-AI ensembles: when can they work?. Journal of Management, 51(2), 536-569. 
• Allen, R., & Choudhury, P. (2022). Algorithm-augmented work and domain experience: The countervailing forces of ability and aversion. Organization Science, 33(1), 149-169. 
• Dietvorst, B. J., Simmons, J. P., & Massey, C. (2015). Algorithm aversion: people erroneously avoid algorithms after seeing them err. Journal of experimental psychology: General, 144(1), 114. 
• Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of economic perspectives, 29(3), 3-30. 
• Choudhury, P., Foroughi, C., & Larson, B. (2021). Work‐from‐anywhere: The productivity effects of geographic flexibility. Strategic Management Journal, 42(4), 655-683. 
• Choudhury, P. (2022). Geographic mobility, immobility, and geographic flexibility: A review and agenda for research on the changing geography of work. Academy of Management Annals, 16(1), 258-296. 

Exam (75%), duration: 120 Minutes in the Spring exam period.

Presentation (25%).

This component of assessment includes an element of group work.

For detailed assessment information, including all deadlines and timings, please see the relevant course Moodle page. Assessment timings will be available at the start of each term.