The future of property investing: can AI be trusted as an investment tool?
Half of Australians are using artificial intelligence on a regular basis but with a reputation for producing some questionable results, can it be utilised and trusted by property investors?
Artificial intelligence (AI) is reshaping industries worldwide, and the real estate industry is not left untouched.
AI is now a common feature of our everyday lives from the workplace to grocery shopping, and even within the home.
A recent study by Professor Nicole Gillespie, Chair of Trust at Melbourne Business School at the University of Melbourne and Dr Steve Lockey, Research Fellow at Melbourne Business School, in collaboration with KPMG, found 50 per cent of Australians use AI regularly, although only 36 per cent were willing to trust it, and 78 per cent had concerns about negative outcomes.
But with such a high usage penetration rate, it is little wonder Australian property investors are increasingly turning to this technology in search of sharper insights and better opportunities.
AI is revolutionising property investment, bringing a wealth of data to your fingertips through faster, more accurate, and data-driven decisions. This data can help investors analyse markets, assess risks and uncover opportunities that might otherwise remain hidden.
Used wisely, it can be a game-changer, but there’s a catch.
The moment you let algorithms replace human judgement you step into dangerous territory where decisions might be made solely on data alone, rather than actual reality.
Smart investors understand that markets can shift, sentiment changes, and individualised investment strategies will not be entirely captured by raw data.
Keep in mind that analysed data is historical, and future trends and reality need a human perspective.
How AI is transforming property investment
With the right approach, AI tools can be a great way to analyse investment opportunities.
AI tools are typically used for research and data analytics because a lot of data can be categorised and analysed quickly. AI tools can obtain data from a wide range of sources and put the data into meaningful analysis for investors to use when making decisions.
If, however, we become overly reliant on AI tools, we can open ourselves up to significant risks. Things can go wrong and create costly mistakes if we blindly rely on the data provided.
Using AI data for investing should come with a warning that we cannot replace human judgement with machines.
Typically, in our buyers agency, we will use AI technologies for predictive property price modelling, market analysis and valuation models.
AI is best used for processing and analysing data from historical property price data, economic indicators, interest rates and growth trends.
AI can be helpful to filter through suburbs to identify things like school zones, vacancy rates, crime rates etc, but it will struggle to analyse future opportunities based on infrastructure projects or future boom areas as AI cannot make future predictions.
If you are an emotional buyer, AI can be helpful in removing emotions and human bias from decision making assisting you to avoid emotionally driven choices.
Buyer beware - the cons of relying on AI data
AI is not foolproof. It works best when paired with human experience, local knowledge, and a healthy dose of scepticism. Blindly trusting AI is particularly susceptible to misleading investors in unpredictable real estate markets.
AI data will only be as good as what has been requested by the user. As a result, the data may omit crucial information that subsequently undermines its usefulness.
Information that is not sourced in a timely manner or from accurate resources becomes unreliable. Therefore, all data needs to be cross-checked to ensure its accuracy.
Data quality issues
AI is only as good as the data it’s fed. If property sales records, economic data, or demographic statistics are incomplete or inaccurate, AI predictions may be flawed.
While AI can detect patterns in data, it may not fully grasp nuanced factors—such as local community culture or the impact of a new development project—that could affect property values.
AI will overlook the human factors that can make or break an investment.
For instance, two suburbs might have identical growth projections, but one could have a stronger sense of community, great cafes, and desirable lifestyle leading to a better investment that can attract long-term tenants, and long-term growth, but these factors will be ignored be AI modelling.
AI platforms often require access to personal financial data, which also raises privacy and data security considerations.
But it can still be a useful tool.
How to use AI effectively
Ultimately, you should view AI as a powerful assistant, not an all-knowing oracle.
The most effective way to use AI for investing is to combine its insights with your own research, on-the-ground inspections, and expert advice.
Use your judgement wisely.
You should always check the accuracy and reliability of AI results and the data provided through AI should be used to compliment your own due diligence.
Technologically advanced property investors have already discovered that you can leverage the power of AI to do the heavy lifting on data analysis while keeping the strategic investing decisions in human hands.
