The Managerial Dilemma in the Age of Generative AI: Efficiency vs. Fairness

Managerial Dilemma in the Age – The Context & Problem

The Scenario: In a modern office, there are two employees with the same title and salary.

• Employee A (Manual): Completes tasks purely through manual effort and personal knowledge in 8 hours.
• Employee B (AI-Assisted): Completes the same tasks in 1 hour using tools like ChatGPT or Claude but hides this fact from management (“Shadow AI” usage).

Author: Aykut Akbulut, Erasmus students 2025

The Management Issue: Traditional management focuses on “time spent” (Input), whereas the AI era forces a focus on “value created” (Output). This discrepancy creates a perception of “Unfair Competition” and “Wage Inequity” within the office. Should the manager reward the 1-hour worker, or punish them with more workload? Managerial Dilemma.

 

Research Findings & Risk Analysis

Our literature review and industry analysis highlight three critical risks:

1. Shadow AI Risk: Approximately 68% of employees (referencing industry trends) use AI without their manager’s knowledge. This poses a significant risk of Data Privacy Leakage.
2. Skill Atrophy: Employee B, who constantly relies on AI, risks losing fundamental problem-solving skills and failing to detect AI-generated errors (Hallucinations).
3. Burnout: Employee A may lose motivation, feeling that “I am working hard while they are taking it easy,” leading to a toxic work environment.

The Solution – The “Middle Ground” Strategy

Banning AI is not the solution; leveling the playing field is. The proposed management model is:

1. Disclosure Policy: The company should allow AI usage but mandate “disclosure.” Employee B must be able to say, “I drafted this with AI support and verified the data.”
2. Upskilling (Equalization): Employee A (the slower worker) should not be penalized but trained in AI usage. The goal is to bring Employee A down to 1 hour as well.
3. Shift in Performance Metrics: Evaluation should shift from “hours sat at the desk” to “value added on top of AI.” The efficient worker should not be punished with busy work but encouraged to use the remaining time for strategic thinking. Managerial Dilemma.

Managerial Dilemma. https://study.com/academy/lesson/dilemma-management-definition-example.html

Management Style: How Managers Really Manage