The Finance Ministry on Tuesday, 30 June said advanced technologies including artificial intelligence (AI), machine learning, and data analytics are now central to Goods and Services Tax (GST) administration, enabling authorities to detect potential tax evasion while simultaneously easing compliance requirements for honest taxpayers. The announcement comes as the number of GST-registered taxpayers crossed 1.65 crore as of May 2026, up from 66.5 lakh when the regime launched in 2017.

How Technology Is Reshaping GST Enforcement

According to the ministry, AI and data analytics are being deployed across critical processes such as GST registration and scrutiny, where they analyse data patterns and flag risk indicators. This allows tax authorities to concentrate enforcement on high-risk taxpayers while reducing the regulatory burden on compliant businesses — a targeted approach that marks a significant shift from blanket scrutiny.

The ministry noted that technology-driven monitoring has made tax collections more predictable, supporting stronger revenue buoyancy and enhancing fiscal transparency at the macroeconomic level. Officials indicated that this transition towards a data-led administration has been underway across the nine years since GST's introduction.

GST Revenue Growth: The Numbers

The revenue trajectory underscores the regime's maturation. Gross GST collections, which stood at approximately ₹7.4 lakh crore in 2017-18, have risen consistently year on year. Collections climbed from ₹13.76 lakh crore in 2021-22 to ₹22.27 lakh crore in 2025-26. In the first two months of the current financial year alone — April and May 2026 — collections reached ₹4.37 lakh crore, indicating sustained momentum.

Background: GST's Nine-Year Journey

Introduced on 1 July 2017, GST replaced a fragmented indirect tax structure comprising 17 central and state taxes and 13 cesses with a unified national regime under the 'one nation, one tax' framework. The reform was implemented following extensive consultations between the Centre and states, and was designed to create a common national market. The near-tripling of the registered taxpayer base since launch is cited by the ministry as evidence of the expanding formal economy.

What This Means for Taxpayers and Revenue

For compliant businesses, the shift to AI-driven risk profiling means fewer routine interventions and a lighter compliance load. For tax authorities, it translates into more precise enforcement — directing resources where evasion risk is genuinely elevated. Notably, this is also a signal that the government is leaning on technology rather than manpower to sustain revenue growth as the taxpayer base scales.

As GST enters its tenth year, the Finance Ministry's emphasis on technology-led administration suggests further automation of scrutiny and registration processes is on the horizon.