California’s rising number of car accidents has intensified concerns about the impact of artificial intelligence on victims’ compensation claims. With nearly 384,246 car crashes recorded in 2025 alone, averaging over 1,000 daily, the state faces a new challenge: AI-driven settlement applications that often undervalue injuries, lost wages, and future medical needs. According to personal injury lawyer Lem Garcia, these AI tools generate instant offers that may seem substantial at first but frequently fail to account for long-term consequences like chronic neck and back pain.
California’s recent legislative action, including the passage of AB 1107, has raised the minimum bodily injury coverage to $30,000 per person and $60,000 per accident. However, the state’s push to adopt AI in insurance processes has created a gap between legal standards and digital tools. While AB 1107 aims to protect victims, many report that AI apps produce settlement offers that fall far below the actual value of injuries, particularly those requiring ongoing medical care and rehabilitation.
Lem Garcia, a personal injury attorney with over 15 years of experience, explains that AI algorithms often rely on historical data rather than individualized trauma assessment. This results in offers that ignore the progression of injuries, such as delayed onset of chronic pain or long-term disability. For instance, a victim who suffers a minor head injury initially might receive a $2,500 offer, but as their condition worsens over months, the true value of their claim could exceed $15,000.
The problem is exacerbated by the lack of transparency in AI-driven platforms. These apps typically operate without human oversight, leading to inconsistent and often inaccurate evaluations. In some cases, victims must fight for months to secure a fair settlement, resulting in significant financial strain and prolonged recovery periods.
Legal experts warn that the integration of AI into insurance processes risks creating a system where the most vulnerable—those with complex, long-term injuries—are disproportionately affected. Without clear regulations, the gap between AI-generated offers and actual medical needs could widen, leaving many victims unable to access necessary care.
Advocates for change argue that California must develop a framework that ensures AI tools are used to enhance, not undermine, victim compensation. This includes mandating regular human reviews of AI-generated offers and requiring transparency about how algorithms assess injuries. The state’s recent focus on digital innovation must also address the human impact of these systems.
As the use of AI in insurance grows, the legal community is urging policymakers to prioritize the needs of victims. With over 384,246 crashes in 2025, the stakes are high. Without intervention, AI-driven settlements could perpetuate a cycle of undercompensation, leaving many victims in a state of financial uncertainty.