Employers Use Personal Data to Set Your Lowest Salary
Employers are using algorithms to analyze workers' personal data, including payday loan history, credit card balances, and social media activity, to figure out the lowest salary each person will accept. This practice, called "surveillance wages," sets pay based on personal data rather than job performance or experience.
Companies are increasingly using algorithmic tools to analyze job applicants' and employees' personal data to determine the minimum pay they're willing to accept, according to a new report from the Washington Center for Equitable Growth.
The practice, called "surveillance wages" by researcher Prof. Veena Dubal, involves collecting information about workers' payday loans, credit card balances, and social media activity. Companies then use this data in formulas to set pay rates based on perceived financial need rather than job performance or seniority.
This data collection often happens without employees' knowledge. The algorithms can identify workers who appear financially desperate and may be willing to accept lower wages.
The research shows how technology is changing traditional wage-setting practices. Instead of basing pay on market rates or employee qualifications, some employers are using personal financial information to minimize labor costs.
This trend raises concerns about privacy and fair compensation practices in the modern workplace.
Your next salary offer might be based on your financial desperation rather than your skills. Companies could pay you less if their algorithms think you need the job badly enough to accept lower wages.
Watch for new regulations on employer data collection and algorithmic wage-setting practices.
Was this article helpful?
0 people found this helpful