AI in the Home Buying Process: What Works, What Doesn't, and When to Call an Expert

In this episode of NerdWallet's Smart Money Podcast, hosts Elizabeth Ayola and Sean Piles explore the growing role of AI in the home buying process, using real-life examples and expert insights. The discussion begins with a lighthearted 'would you rather' segment, highlighting personal financial values and decision-making under pressure. The core of the episode features a live conversation with Cody Goff, a data expert who used AI tool Claude throughout his complex dual process of selling his current home and buying a new one in Rockford, Illinois. Cody shares how AI helped him navigate the confusing order of operations, compare mortgage lenders, and draft professional correspondence with agents. However, the hosts and guest mortgage writer Kate Wood caution against over-reliance on AI, especially for critical financial decisions like mortgage recasts versus bridge loans, and highlight AI's limitations in understanding nuanced market dynamics—such as the reduced viability of sale contingencies in competitive markets. They emphasize that while AI is excellent for organizing information and brainstorming, it should never replace human expertise, emotional intelligence, or on-the-ground research. The episode concludes with data from NerdWallet’s 2026 Home Buyer Report showing that 48% of planned homebuyers intend to use AI, with most using it for cost estimation and process guidance, but experts stress that AI should be a tool, not a replacement for human judgment and real-world connections. Key takeaways include: 1) Use AI to organize and clarify complex processes, but always verify critical financial advice with trusted, expert sources like NerdWallet; 2) Be wary of AI’s oversimplification of risks—especially around sale contingencies and loan options—where real estate market context matters; 3) Human insight, local knowledge, and personal relationships (like talking to neighbors or family) are irreplaceable when evaluating neighborhoods and long-term livability; 4) AI is most effective when used as a sounding board for personal values and lifestyle preferences, not for finding listings or making final decisions; 5) Always disclose your full financial picture to AI tools to get accurate recommendations, but treat those recommendations with skepticism until cross-checked with reliable data. The episode ends on a positive note, affirming that AI can be a powerful ally in financial decision-making when used thoughtfully and in tandem with human expertise.