"Reduce Square Footage and Improve Location"... Strategies for Finding a Home Tailored to Your Budget

Before making a real estate purchase decision, the first task that must precede everything else is calculating the exact 'available budget.' According to a video from the YouTube channel 'Country Mouse's City Life,' a real estate budget is determined by an individual's income and loan eligibility. The presenter explained that assuming 200 million won in cash on hand, a combined annual household income of 100 million won, and an expected loan interest rate of 5%, a first-time buyer in a regulated area in Seoul with a property value under 1.5 billion won and no existing loans would have a calculable purchase budget of approximately 567 million won. While the upper limit can be raised by adding credit loans, it is important to note that incidental costs will increase accordingly.

"Location over Square Footage"... Key Factors to Consider When Comparing Properties

Once the budget is finalized, the next step is to move on to comparing available properties within that price range. The presenter suggested 'the strategy of reducing square footage and improving location' as a basic principle of wealth management. This is because, if one wishes to reside in Seoul, the location is crucial for expecting capital gains. They added that a good location also offers advantages in terms of residential satisfaction, such as shorter commuting times due to proximity to office districts. However, if considering the childcare environment, square footage (exclusive area) can be a significant variable, so it is necessary to contemplate whether to choose 59㎡ (25-pyeong type) or 84㎡ (34-pyeong type) within the budget range.

When comparing properties, one must comprehensively review the age of the building, size, floor area ratio in preparation for future reconstruction, school districts, and future favorable developments. The presenter defined this comparison process as 'son-pum' (searching online) and emphasized that the 'bal-pum' (visiting in person) stage, where one narrows down candidate sites using online data and then must visit the site, is essential. This is because there are variables that cannot be known through online data alone, such as the neighborhood atmosphere being dark or the area being a steep hill.

In particular, one should be careful not to contact real estate agencies hastily. If an intention to purchase is expressed while unprepared, it can become a factor that causes the seller to misjudge demand and raise the price. The presenter advised that contacting real estate offices should be treated as the 'final stage' to be performed after completing all the 'bal-pum' (on-site visits) alone.

Beware of Low-Value Properties... A Study Method Through Analyzing Declining Complexes

The smaller the asset size, the more cautious one must be with purchase decisions. The presenter warned that the smaller the budget, the higher the risk of choosing 'low-value' properties rather than 'undervalued' properties. The analysis suggests that in a situation where real estate prices have already risen significantly, properties that can be bought with a small budget are more likely to be low-value rather than undervalued; purchasing these incorrectly could make future resale difficult, potentially tying up funds for a lifetime.

As an alternative, the presenter proposed a study method of analyzing leading apartments in each district, complexes with the highest increases or decreases over the past year, and complexes with active transactions. Especially in the case of complexes that have declined, they explained that a process of independently analyzing the cause of the price drop is necessary. AI agent technology can be utilized in this data analysis process. The presenter revealed that they utilized the AI agent 'Manus AI' in the process of collecting vast amounts of actual transaction data from the Ministry of Land, Infrastructure and Transport and building a web service. The presenter in the video explained that the AI not only answers questions but also performs direct actions using a browser and computer, and can even create websites if the user only has the idea. The presenter added that when performing complex tasks such as planning a web layout by bringing in tens of thousands of actual transaction data points, they were able to obtain the results while sleeping by leaving the task to the AI.