What the study found
The study found that generative artificial intelligence (GenAI) has a double-edged role in management consulting: it can increase efficiency, but it also brings risks such as hallucinations, meaning plausible but incorrect outputs, and loss of skill retention.
Why the authors say this matters
The authors say a Task-GenAI Fit (TGAIF) framework can help align consulting tasks with GenAI capabilities so that task performance is optimized in consulting workflows. The study suggests this may support efficient and responsible GenAI use in complex consulting environments while balancing organizational and individual perspectives.
What the researchers tested
The article used qualitative interviews with leading German consulting firms to develop a Task-GenAI Fit (TGAIF) framework. The framework was deduced from those interviews and used to examine how consulting tasks can be matched with GenAI capabilities.
What worked and what didn't
The abstract says aligning tasks with GenAI capabilities can optimize task performance in consulting workflows. It also notes that GenAI may drive efficiency, while hallucinations and loss of skill retention are identified as risks.
What to keep in mind
The available summary does not provide detailed limitations beyond the fact that the framework was derived from qualitative interviews with leading German consulting firms. The abstract does not report specific quantitative outcomes.
Key points
- GenAI is described as having both efficiency benefits and risks in management consulting.
- The risks named in the abstract are hallucinations and loss of skill retention.
- The authors propose a Task-GenAI Fit (TGAIF) framework to match tasks with GenAI capabilities.
- The framework was developed from qualitative interviews with leading German consulting firms.
- The abstract says aligning tasks with GenAI capabilities can optimize task performance in consulting workflows.
Disclosure
- Research title:
- GenAI can improve consulting efficiency but raises risks
- Authors:
- Matthias Tuczek, Kenan Degirmenci, Michael H. Breitner, Kevin C. Desouza, Richard T. Watson
- Institutions:
- Leibniz University Hannover, Queensland University of Technology, University of Georgia
- Publication date:
- 2026-03-05
- OpenAlex record:
- View
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