No: the available figures do not show that Pakistan’s Federal Board of Revenue (FBR) individually audited all seven million tax returns with AI. The Pakistan Economic Survey 2025-26 reports 7.0 million returns filed, up from 3.7 million, and separately says AI-driven audit selection identified more than 200 cases involving Rs 13.3 billion. Those are different measures—not a count of seven million audited returns.
What the seven-million figure counts
The Pakistan Economic Survey 2025-26 reports that filed returns rose from 3.7 million to 7.0 million, a 91.5 percent increase. In a separate figure, it says AI-driven audit selection identified over 200 cases involving Rs 13.3 billion. The survey does not say that every filed return was audited, or establish that the 200-plus selected cases came from a review of all seven million returns.
In other words, the headline-sized filing total describes the volume of returns; the audit-selection figure describes cases identified for audit. They should not be combined into a claim that FBR ran an individual AI audit on seven million taxpayers.
What FBR’s National Faceless Centre does
On 25 September 2026, FBR announced that it had established a National Faceless Centre in Islamabad. The centre is intended to select and handle audit cases through a computerised, risk-based process. FBR said cases would be selected by a computerised system rather than by an individual officer, and automatically assigned to officers.
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The announced workflow separates responsibilities: one officer conducts the audit, another makes the assessment, and a third performs a quality review before an order is issued. FBR says notices, replies and hearings will be handled electronically through its IRIS system. If the law requires physical verification or recovery, a separate field team handles that work. FBR says the Finance Act, 2026 provides the centre’s legal authority.
FBR presents the arrangement as a way to make proceedings faster, fairer and more transparent. Those are the agency’s stated expectations; the announcement does not report measured results demonstrating that effect. The announcement also describes the centre’s process, not an audit of every return filed.
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How the proposed electronic scrutiny rule differs
A separate initiative reported by Dawn on 7 October 2026 was proposed rule 38-B, titled “Procedure for electronic scrutiny and intimation of issues detected by the automated system,” under amendments to the Income Tax Rules 2002. It concerns electronic scrutiny of return information, not the same thing as selecting and managing cases through the National Faceless Centre.
| Question | National Faceless Centre | Proposed rule 38-B |
|---|---|---|
| What stage does it address? | Selection and handling of audit cases. | Electronic identification and notification of possible return issues. |
| What is its stated function? | Use risk-based selection and assign audit cases to officers. | Compare return information with other data available to tax authorities and flag possible factual or legal errors or discrepancies. |
| What is the taxpayer channel? | FBR says notices, replies and hearings are to take place electronically through IRIS. | Online notification through IRIS, with an opportunity to clarify or rectify the issue, according to Dawn’s report. |
| What role does a human officer have? | Separate officers audit, assess and review a case before an order. | The jurisdictional Inland Revenue officer reviews the taxpayer’s response—or lack of one—before deciding what action to take, according to Dawn. |
| What was its status in the cited report? | FBR announced that it had established the centre on 25 September 2026. | Dawn reported on 7 October 2026 that rule 38-B was a draft open to stakeholder feedback and expected to be finalised after three days. The cited evidence does not confirm whether it was later promulgated or amended. |
Under Dawn’s account of the draft, an automated discrepancy flag would not, by itself, trigger enforcement. The taxpayer would first have a chance to respond, after which the jurisdictional officer would decide what to do. That is the reported design of the proposal, not confirmation of a final rule currently in force.
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What an AI flag would—and would not—mean
A flag is an indication that information may need attention; it is not, on the facts reported, a final finding of wrongdoing or an automatic penalty. For proposed rule 38-B, Dawn described a notification and response stage before the officer decides whether further action is warranted. For the faceless audit process, FBR described a sequence involving audit, assessment and quality review. Neither account supports treating an automated match or case selection as a completed tax determination.
The reported procedures also have different scopes. Rule 38-B was proposed as an electronic scrutiny and intimation mechanism for possible issues in returns. The National Faceless Centre is an announced framework for selecting and handling audit cases. An electronic discrepancy notice should not be assumed to be an audit order, and the two initiatives should not be conflated.
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What the figures and announcements establish
The Economic Survey supplies the published return and AI-selected-case figures. FBR’s September announcement supplies the agency’s description of the National Faceless Centre. Dawn’s October report supplies the account of the draft electronic scrutiny rule. FBR’s Salient Features of Budget 2026-27 also describes the centre’s intended role in faceless audits, assessments and appeals and lists algorithmic cross-matching of bank and tax information as a measure. That broader policy context does not change what the seven-million figure counts.
Quick Recap
- Seven million: returns filed, compared with 3.7 million in the prior figure reported by the Economic Survey.
- Over 200 cases and Rs 13.3 billion: the survey’s separate AI-driven audit-selection result.
- National Faceless Centre: announced by FBR on 25 September 2026, with risk-based selection and electronic case handling.
- Rule 38-B: reported by Dawn on 7 October 2026 as a draft; its final status is not established by the cited report.
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