29.03.2026 14:40
The Revenue Administration has started to detect unreported or omitted income using artificial intelligence-supported systems as the final days for the annual income tax return approach. As the declaration period ends on March 31, Minister of Treasury and Finance Mehmet Şimşek warned against waiting for the last-minute rush and urged taxpayers to review their declarations to avoid any penalties.
The Revenue Administration (GİB) has started to detect undeclared or underreported incomes using artificial intelligence-supported analysis systems as the deadline for submitting annual income tax returns approaches.
LAST 3 DAYS FOR INCOME TAX RETURN
According to information obtained from the Ministry of Treasury and Finance, the deadline for submitting annual income tax returns for incomes earned in 2025 will expire on March 31.
As the last three-day period for declaration approaches, taxpayers are required to report all income elements completely, accurately, and on time. In this context, it is particularly important for taxpayers who earn real estate capital income (rental income), wages that need to be declared, movable capital income (such as interest and dividends), and capital gains to submit their returns within the legal timeframe.
ALL TAXPAYERS ARE MONITORED WITH AI-SUPPORTED SYSTEMS
With the artificial intelligence-supported systems developed by GİB, all taxpayers are now monitored comprehensively and continuously. Data obtained from banks, financial institutions, and the public and private sectors are collected in a single center. This data is integrated with the administration's declaration and notification systems. Thus, taxpayers' declarations are compared with their actual economic activities, and inconsistencies are detected through analyses of cash flows, collection processes, and transaction volumes. This makes it easier to uncover undeclared earnings.
THOSE DECLARING LOSSES UNDER CLOSE MONITORING
The system identifies significant deviations by examining inconsistencies between declared earnings and income, unusual fluctuations in turnover, and financial behaviors that do not align with sectoral realities.
In this context, businesses that continuously declare losses, taxpayers who submit declarations with no or low taxable income, those that significantly diverge from sector averages, and those with inconsistencies between their declarations and bank and POS data are prioritized.
As a result of sectoral analyses and comparisons, businesses that have been reporting losses for a long time or reporting low profits are considered an important risk indicator that requires detailed examination rather than a commercial outcome.
REAL ESTATE MARKET UNDER SCRUTINY
Additionally, with the Spatial Data Analysis (MEVA) Project, buying and selling transactions in the real estate sector are being thoroughly examined, and comprehensive price analyses are being conducted.
The location of the properties, zoning status, square meter unit values, regional supply-demand balance, transportation facilities, and socioeconomic indicators are evaluated together.
By integrating satellite images, title deed records, and geographic information system data, deviations from market value are detected. Thus, the sale price is compared with the declared values, price consistency is questioned through comparable analyses of similar properties, and transactions showing anomalies are identified as risky.
RENTAL INCOMES ARE BEING ANALYZED
The Revenue Administration is conducting audits supported by field studies regarding rental incomes. Findings obtained from direct interviews with tenants and landlords are cross-checked with indicators such as electricity, water, and natural gas subscription data, continuity of use, consumption intensity, and ownership of subscriptions. In this context, the actual usage status of the properties is accurately determined, and the existence and continuity of the rental relationship are analyzed based on periodic consumption data.
With this data, declared rental incomes are compared with actual usage and rental values based on market conditions.
Risky situations such as low declarations, failure to declare at all, or collusive (fraudulent) usage are revealed.
COMPLIANCE WITH DECLARATIONS OF DIVIDENDS AND PROFIT SHARES IS CLOSELY MONITORED
On the other hand, audits regarding movable capital income have also been expanded.
Data obtained from the Central Securities Depository (MKK) is analyzed through stock transactions, dividend and profit share distributions, portfolio sizes, and transaction volumes, allowing detailed monitoring of income flows on a taxpayer basis. This data is compared with declared incomes to identify inconsistencies, underreporting, and risky transactions.
In this context, particularly for taxpayers in the high-income group, comprehensive risk profiles are created by considering the continuity of incomes, distribution periods, and investment behaviors.
"INCREASING VOLUNTARY COMPLIANCE WITH TAX IS A KEY PRIORITY"
Minister of Treasury and Finance Mehmet Şimşek emphasized that taxpayers may face financial penalties such as penal assessments, tax loss penalties, and late fees due to incomplete or non-existent declarations, stating, "Thanks to advanced analysis and comparison systems, inconsistencies between declarations and income can be quickly and effectively detected. It is important for our taxpayers to review their declarations and complete any deficiencies without waiting for the last-minute rush."
Şimşek stated that increasing voluntary compliance with tax is a fundamental priority for both the sustainability of public finance and the provision of tax justice, emphasizing that the fight against the informal economy will continue resolutely.
Şimşek noted that through digitalization and an artificial intelligence-supported audit infrastructure, the aim is to strengthen a more transparent, fair, and effective tax system.