Academic researchers conducting an analysis of generative AI platforms discovered substantial inconsistencies in financial guidance across different programs, raising concerns about the reliability of AI-generated recommendations for personal money management.
The research, published in the Journal of Financial Planning, evaluated free-access versions of seven widely used AI systems including ChatGPT, Claude, Copilot, DeepSeek, Gemini, Meta AI and Perplexity. Researchers tested these platforms in August 2025 using identical prompts addressing three financial topics: emergency savings strategies, optimal withdrawal rates from retirement accounts, and recommended investment portfolio composition. To assess potential demographic bias, the team presented the same scenarios while varying the race and gender characteristics of hypothetical individuals to determine whether recommendations would differ based on these factors.
The study identified notable variations in guidance provided by different platforms, particularly regarding emergency savings recommendations and asset allocation suggestions. While the AI systems generally aligned with established financial planning principles such as the 4 percent retirement withdrawal rule, significant differences emerged across platforms in their specific recommendations. Researchers emphasized that although AI-generated responses frequently sound authoritative and confident, they may contain incomplete, misleading, or inaccurate information that could disadvantage users, especially those from different demographic backgrounds.
Experts noted that AI demonstrates utility in providing general overviews of financial concepts but has substantial limitations for personalized advice. Algorithmic hallucination—where AI systems generate plausible-sounding but factually incorrect information—represents a particular concern. Additionally, AI tools lack fiduciary obligations to provide advice prioritizing user interests, and their outputs prove sensitive to how users phrase questions, meaning minor variations in prompts can produce different recommendations.
The researchers concluded that while AI may serve as an initial resource for financial guidance, consumers should treat such recommendations as a starting point requiring careful scrutiny rather than a substitute for professional financial advice. The study acknowledged that ongoing AI evolution and differences between free and paid versions may produce varying results in future assessments.
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