Employers are using your personal data to figure out the lowest salary you’ll accept
- Concept of "Surveillance Wages": Employers are increasingly using "surveillance wages," where algorithms analyze personal data to determine the minimum pay a candidate will accept, moving away from traditional experience-based pay.
- Data Sources: Companies may utilize signals of financial vulnerability, such as credit card balances, payday loan history, ZIP codes, and even social media activity to gauge a worker's leverage.
- Information Asymmetry: The practice creates a significant power imbalance, as employers may have access to a candidate's past compensation and financial health via background and credit checks, while the candidate has little to no insight into the company's internal data.
- Algorithmic Influence: Tools originally designed for "surveillance pricing" in consumer markets (e.g., airline tickets or retail) are being adapted for the labor market to predict behavior and optimize cost-cutting.
- Risks and Bias: Experts warn that these practices can lead to systemic discrimination, targeting those in desperate financial situations or predicting life events like pregnancy or union interest.
- Industry Adoption: An audit found that major companies in healthcare, logistics, customer service, and retail are already utilizing vendors that offer these data-driven algorithmic tools.
Hacker News Discussion
- Verification of Past Pay: Several users noted that while many states now ban asking for salary history, employers often bypass this by using third-party background check services (like The Work Number or credit reports) that provide precise historical income data.
- The Role of AI/Algorithms: Commenters discussed how companies like Salesforce and Intuit are being linked to these practices, using "behavioral science" to predict the lowest "reservation price" for a new hire.
- Data Privacy Concerns: There is significant skepticism regarding the "anonymization" of this data; many believe that even "aggregate" data is easily deanonymized when paired with specific resumes.
- Strategic Advice: Users suggest being extremely cautious about what is shared on social media and checking your own reports from major data brokers (like Equifax or LexisNexis) to see what information is being sold to potential employers.
- Legal and Ethical Debate: Some argue that this is a logical extension of market efficiency, while most view it as a predatory practice that exploits vulnerable workers and erodes the bargaining power of the labor force.