Managing real estate investments can be time-consuming and challenging, especially for passive investors who don’t have the time or expertise to actively manage their properties. There may be a solution that doesn’t involve becoming a full-time real estate investor or hiring people to help.
Advances in technology, specifically AI, could make it easier for passive investors to manage their real estate investments more efficiently.
You may have heard of ChatGPT or Bard as examples of AI, or artificial intelligence. AI refers to the ability of machines and computer programs to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and problem-solving.
AI systems can analyze large amounts of data, learn from experience, and improve over time, making them useful for a wide range of applications, from image recognition and natural language processing to autonomous driving and predictive maintenance.
AI in real estate
Here are some examples of how AI is most commonly used in real estate investing:
Property valuation: AI can analyze large data sets, such as property sales, rental rates, and economic trends, to estimate the value of a property with a high degree of accuracy. This information may help investors determine whether a property is overpriced or undervalued, helping them make better investment decisions.
Predictive maintenance: AI may also help investors identify potential maintenance issues before they become costly problems. By analyzing data such as HVAC system usage, water usage, and energy consumption, AI can help predict when equipment may fail and alert property managers to perform maintenance before a failure occurs.
Tenant screening: AI can screen potential tenants by analyzing a variety of data points, such as credit history, criminal background, and rental history. This information may help investors make better-informed decisions about which tenants to rent to, reducing the risk of non-payment and other issues.
Predictive analytics: AI can use machine learning algorithms to analyze historical data and predict future trends in the real estate market, such as vacancy rates and rental rates. This information may help investors make better-informed decisions about when to buy, sell, or hold their properties.
Complying with regulations: AI can be used to check property compliance with zoning laws, building codes, and other regulations.
[Related: Easy Ways to Improve Energy Efficiency in Rental Properties]