AI Predicting Resignations: Are Companies Using ChatGPT to Evaluate Employee Loyalty?

Updated: 08 Jul 2025, 07:07 AM IST

A viral Instagram video by financial educator Sarthak Ahuja has brought attention to the use of AI tools like ChatGPT by companies to predict employee resignations. How does this technology work and what are the implications for workplace dynamics?

A viral Instagram video by financial educator Sarthak Ahuja has taken the internet by storm, raising questions about the use of AI technology like ChatGPT in predicting employee resignations. Companies are increasingly using AI tools to analyze employee behavior and language, looking for subtle cues that may indicate disengagement or detachment.

AI in Workplace Evaluation

According to Ahuja, companies are now uploading meeting transcripts into ChatGPT for analysis. The AI is trained to identify patterns in employee behavior, such as shifting language and video fatigue, to predict who is most likely to resign.

Retention Risk Matrix

Managers are reportedly using AI-generated insights to create ranked lists of employees based on their likelihood of leaving the company. This retention risk matrix provides managers with actionable steps to re-engage disengaged employees before it's too late.

While the idea of AI predicting resignations may sound futuristic, it raises concerns about employee privacy and workplace trust. Critics argue that using meeting transcripts to evaluate mental state or loyalty could lead to unfair profiling or micromanagement.

However, Ahuja points out that when used responsibly, this technology could allow for timely interventions to retain valuable employees. Whether you find it fascinating or frightening, AI's role in shaping workplace decisions is growing, and it may already be silently influencing your career path.

Conclusion

AI tools like ChatGPT are changing the way companies evaluate employee engagement and loyalty, raising important ethical and practical considerations. As this technology becomes more widespread, it's crucial for companies to use it ethically and transparently to ensure a fair and supportive work environment.