A growing number of Americans are turning to artificial intelligence for financial advice, but the effectiveness of this guidance largely hinges on how users craft their prompts. Andrew Lo, director of MIT’s Laboratory for Financial Engineering, emphasizes that prompt engineering is both an art and a science, crucial for obtaining relevant and actionable insights from AI platforms. While AI excels at providing general financial overviews, it struggles with specific calculations, such as tax planning, which can lead to potentially misleading advice.
This trend is significant as 66% of users report seeking financial advice from generative AI, with a notable 85% acting on the recommendations. However, experts warn that vague prompts can yield unsatisfactory results, underscoring the need for detailed inquiries to guide AI effectively. For example, instead of asking a broad question about retirement, users should specify their financial context to receive tailored advice.
Professionals should recognize the importance of refining prompts and verifying AI outputs, as the technology can produce authoritative-sounding responses that may not always be accurate. Engaging with AI through iterative questioning can enhance the quality of advice, making it a valuable tool for financial planning when used judiciously.
Source: cnbc.com