Report Linked Corporate AI Tools to Higher Consumer Costs

New findings detail how AI-driven pricing and claims adjudication strategies impact insurance and travel sectors.

Updated on Sept. 23, 2026 in Artificial Intelligence

Isometric editorial illustration of stacked shipping containers in a grid, symbolizing the rigid structure of algorithmic pricing models.
A new report from Groundwork Collaborative and Reset Tech reveals how corporate AI-driven pricing and claims adjudication tools contribute to rising consumer costs. AI Illustration. Upload story photo >

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A report released by Groundwork Collaborative and Reset Tech details how corporations leverage AI tools to increase consumer costs. The analysis highlights AI-driven practices in medical billing and dynamic pricing that directly affect insurance premiums and travel fares.

Why it matters

Corporations have adopted these AI systems to maximize revenue per sale through personalized pricing and reduced operational costs. This shift has drawn scrutiny regarding how data-driven strategies influence medical inflation and consumer access to services.

PricewaterhouseCoopers identified AI-powered tools as a leading factor in medical inflation across the United States. Patients who appeal automated denials successfully reverse the decision 90% of the time, despite only 0.2% of patients choosing to appeal.

The players

Groundwork Collaborative

An economic policy think tank focused on corporate power and market outcomes.

Reset Tech

A policy organization researching the impact of digital technologies on societal systems.

UnitedHealth

A diversified healthcare company currently facing scrutiny over the use of its nH Predict tool for insurance claims.

PricewaterhouseCoopers

A multinational professional services network that monitors economic indicators and medical inflation trends.

The details

AI adjudication tools utilize automated algorithms to process and deny health insurance claims, while data brokers aggregate consumer profiles to fuel corporate pricing models. These models incorporate telematics data, including speed and location for insurance, and search activity for airline booking patterns, to enable surveillance-based pricing. Companies use this data to calculate the maximum price a specific individual might accept, often at the expense of transparent market pricing.

Timeline

  1. September 23, 2026: Groundwork Collaborative and Reset Tech released the report.

The Tech Race

This development follows the documented trend from PricewaterhouseCoopers identifying AI as a top driver of US medical inflation. It marks a departure from standard pricing models toward automated, surveillance-based strategies that prioritize individual revenue extraction.

Consumers may face higher premiums and dynamic pricing as corporations adopt these AI strategies for healthcare and travel. Patients affected by automated claim denials should note the high success rate of the appeals process when challenging adverse insurance decisions.

The takeaway

The effectiveness of the appeals process suggests that human intervention remains a vital check against algorithmic error in insurance claims. Consumers should remain vigilant in reviewing automated denials, as the high reversal rate indicates that these systems frequently miscalculate coverage eligibility.

Further reading

For more context on how automated systems are being audited, visit Artificial Intelligence.

Source note: This article includes information reported by Common Dreams.

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Do you trust companies to use artificial intelligence for setting your personalized prices?