Sonntag, 8. September 2024

AI and the productivity and quality of consultants work

The study Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality examines the impact of artificial intelligence on the productivity and quality of life of knowledge workers. This is a field study conducted by the Harvard Business School in collaboration with the Boston Consulting Group.

Key statements:

  • Experimental conditions: The study included 758 counselors who were divided into three groups: without AI access, with GPT-4 AI access, and with GPT-4 AI access plus an introduction to prompt engineering.
  • Increase in productivity: Consultants who used AI were significantly more productive. On average, they completed 12.2% more tasks and required 25.1% less time.
  • Quality improvement: The quality of the tasks supported by AI was more than 40% higher compared to the control group.
  • Different effects: Consultants with below-average performance benefited more from AI support (43% increase in performance) than those with above-average performance (17% increase in performance).
  • Limitations of AI: For tasks that were outside the capabilities of AI, consultants with AI support were 19 percentage points less successful in providing correct answers.
  • Use of AI: Two main patterns of successful AI use were identified: “Centaurs”, who divide tasks between humans and AI, and “Cyborgs”, who fully integrate their workflows with AI.

The study highlights that AI can offer significant benefits for the productivity and quality of life of knowledge workers, but also names challenges and risks, especially for tasks that are outside the current capabilities of AI.

A detailed summary can be downloaded here:

Zusammenfassung über KI und die Produktivität und Qualität von Wissensarbeitern.pdf

Recap on AI and Knowledge Worker Productivity and Quality.pdf


The linke to the complete study is this one: https://www.hbs.edu/faculty/Pages/item.aspx?num=64700

Keine Kommentare:

Kommentar veröffentlichen