Corporate AI Is Quietly Driving Up Costs for American Households

Insurers are increasingly relying on automated adjudication tools to process medical claims, a practice that critics argue leads to frequent, erroneous denials. A lawsuit against UnitedHealth’s nH Predict tool highlights the scale of the issue: while only 0.2% of patients appeal these automated decisions, those who do succeed in overturning the denial approximately 90% of the time. Simultaneously, AI-driven medical scribes have been flagged for inflating billing, contributing to what PricewaterhouseCoopers identifies as a primary driver of medical inflation.

Beyond healthcare, corporations are leveraging personal data to implement dynamic pricing models. Data brokers build granular profiles of individuals, which companies then use to adjust prices based on a consumer’s perceived ability or willingness to pay. The car insurance industry, for instance, utilizes telematics—tracking metrics like braking patterns and location—to set premiums. While framed as risk assessment, these tools often result in higher costs or outright coverage denials. Airlines are similarly deploying algorithms that monitor search activity and booking habits to fluctuate ticket prices in real time. Rishi Bharwani of Reset Tech warns that these opaque tactics represent a significant threat to household stability, urging lawmakers to intervene before the practice becomes further entrenched in the economy.