The Federal Board of Revenue has adopted an artificial intelligence-driven strategy to achieve its Rs15.264 trillion tax target. The plan aims to improve tax enforcement while offering relief to selected sectors. Businesses, taxpayers, and the national economy are expected to be directly affected by the initiative.
FBR Chairman Rashid Mahmood Langrial said the authority would introduce a digital algorithmic settlement mechanism for tax disputes. He added that salaried individuals, exporters, and the real estate sector would receive tax relief. Furthermore, the government plans to rationalise the super tax and introduce a fixed tax scheme for retailers.
Langrial said the FBR would conduct monthly General Sales Tax audits during the next fiscal year. He expressed confidence that stronger enforcement would significantly increase tax collections. Moreover, he said economic indicators would play a vital role in achieving the ambitious revenue target.
According to the FBR chairman, the government informed the IMF and parliament about 26 revenue-enhancing measures. These measures include improved enforcement, better compliance, policy reforms, and selective tax rate adjustments. Together, they are expected to generate an additional Rs1.02 trillion during fiscal year 2026-27.
The FBR recently reduced its current fiscal year’s revenue target to Rs12.983 trillion. Earlier targets were revised downward following changing economic conditions and IMF commitments. However, officials remain confident that stronger compliance and digital reforms will help achieve next year’s higher target.