Greek tax agency uses artificial intelligence to catch tax evasion in the real estate sector
핵심 요약
- The Greek Tax Authority has implemented an artificial intelligence-based risk analysis system to detect tax evasion in the real estate sector.
- In an audit of a real estate agent in the Cyclades, it was revealed that the business, which reported a loss, actually made a profit of 230,000 euros in one year.
- A construction company linked to the said real estate agent was also found to have an undeclared turnover of over 600,000 euros in 2024.
- The very low turnovers declared by thousands of real estate and construction companies in the country present a stark contrast to the actual size of the market.
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The Independent Authority for Public Revenue (AADE) of Greece has launched a new artificial intelligence-supported audit system to uncover undeclared commissions and hidden turnovers in the real estate market. The system conducts risk analyses by comparing real estate listings, social media accounts, and companies' websites with official tax returns.
The initial audits conducted revealed the massive gap between the incomes declared by real estate and construction firms and their digital footprints. It was discovered that a real estate agency operating in the Cyclades, despite reporting a loss, actually made a profit of approximately 230,000 euros in a single year, and a construction company working with this office made a hidden profit of over 600,000 euros in 2024.
Authorities stated that the real estate sector carries a high risk for money laundering and that they plan to expand audits industry-wide with these new methods. Thanks to these digital monitoring methods, the true economic sizes of companies reporting zero or very low turnover to the tax authority can be rapidly uncovered.
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자주 묻는 질문
- What exactly is the Greek tax agency investigating in the real estate sector?
- The tax agency is focusing on detecting undeclared 'black' commissions received by real estate agents, hidden turnovers, and suspicious transactions suspected of involving money laundering.
- How is artificial intelligence being used to detect tax evasion?
- Artificial intelligence systems compare companies' online listings and digital footprints on social media with their tax returns. Major discrepancies between the two are flagged as 'high risk' for auditing.
- What concrete findings were made as a result of the new audits?
- In the initial audits, it was revealed that a real estate agent in the Cyclades who declared a loss actually obtained a hidden profit of 230,000 euros, while a collaborating construction firm made a hidden profit of over 600,000 euros.
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- Athenika·