Today, Consumer Reports (CR), with research partner Civic Software Initiative, released the 2025 AI in Consumer Finance Landscape Analysis Report—a comprehensive review of how AI is being deployed across consumer financial products and services, and where existing frameworks, regulations, and market practices are falling short. The report lays the foundation for a consumer-first AI evaluation standard that Consumer Reports will release next month.
AI systems are making consequential decisions about Americans’ financial lives—determining creditworthiness, setting prices, detecting fraud, providing advice—faster than anyone can fully explain or validate them. CR’s 2025 nationally representative survey of over 4,000 Americans finds that 75 percent are concerned AI in financial services could lead to bias or unfair treatment, 57 percent do not believe current laws adequately protect them, and more people report negative experiences with AI in finance than positive ones. Fraud detection is the notable exception—the one use case where the consumer benefit is clearest and most direct.
The landscape identifies three structural gaps. First, there is no coherent consumer-centered standard for what AI systems owe the people whose financial lives they influence. Existing frameworks address pieces of the problem—bias metrics here, transparency guidance there, privacy safeguards somewhere else—but the pieces have not been integrated. Second, deployment is outpacing understanding, including inside the companies building these systems. Third, market incentives reward adoption speed and scale over validation and consumer protection, which is why voluntary principles alone predictably fail as guardrails.
This is not only a consumer protection problem. It is a market problem. Fragmentation leaves companies without a clear standard to build toward and leaves consumers without a meaningful way to distinguish responsible deployments from reckless ones. Fairness, accuracy, and accountability are competitive assets. Today, the absence of integrated standards makes those investments invisible to the market.
The report is organized around 12 axes of evaluation—accuracy and reliability, bias and fairness, privacy and data protection, accountability and transparency, consumer agency, quality of redress, resilience, and more. These axes are the analytical backbone of a Consumer Reports’ evaluation standard coming soon: a set of concrete, testable criteria that companies can implement and that independent evaluators can apply.
If you build, deploy, invest in, or regulate AI in consumer financial services, this report is for you. Read the full landscape analysis here, and look out for our evaluation standard launch next month.
