ChatGPT and the Future of Management Consulting: Opportunities and Challenges Ahead

This thesis explores the implications of ChatGPT, a cutting-edge artificial intelligence (AI) language model, on the management consulting industry, focusing on opportunities and challenges it presents. Through interviews with management consultants, the study aims to explore the potential impacts of ChatGPT on consulting processes, outcomes, and the competitive landscape. The findings indicate that the integration of ChatGPT in consulting services has the potential to streamline data analysis, enhance decision-making, and improve client relationships through personalized and prompt communication. Moreover, ChatGPT can increase efficiency in repetitive tasks, enabling consultants to focus on higher-value activities such as creative problem-solving and strategic planning. However, challenges such as data privacy concerns, ethical implications, and potential job displacement must be addressed. The adoption of AI-powered solutions must be balanced with measures to ensure the responsible and secure use of these technologies, along with adequate professional development opportunities for consultants in the evolving landscape. By examining current applications, future possibilities, and inherent risks, this thesis contributes to the dialogue on the future of work and ChatGPT's potential to transform industries, offering valuable insights for stakeholders in management consulting to better prepare for and navigate the changes brought by this transformative technology.

Name thesis:degree_name

Master

Department dc:contributor.department

Sloan School of Management

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2023

Author dc:creator

• Kamaruddin, Ryan Idris

Advisor dc:contributor.advisor

• Fazel-Zarandi, Mohammad Mehdi

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright retained by author(s)

Licence dc:rights.uri

• https://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/151586

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/151586