Former Treasury Adviser Raises Alarm Over HMRC’s Use of AI for Financial Surveillance

Priya Sharma, Financial Markets Reporter
4 Min Read
⏱️ 3 min read

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Dr Chris Wales, a former senior adviser to Treasury under Gordon Brown, has issued a stark warning about the potential for HMRC to deploy artificial intelligence in the tracking of personal and business finances without individuals’ consent. As he launches a revealing book alongside international lawyer Robert Amsterdam, Wales highlights the concerning parallels between the UK’s tax authority and Spain’s Agencia Tributaria, which has garnered notoriety for its invasive surveillance tactics.

AI Surveillance on the Horizon

Wales’s comments come as the UK government appears poised to embrace a model of financial oversight that he believes could lead to a “surveillance state.” He is scheduled to speak alongside Baroness Dawn Primarolo, a former Labour Treasury minister, at an event next week aimed at raising awareness of these issues and warning against the erosion of privacy rights in the face of advanced technological tools.

The former adviser outlined how Spain’s tax agency has already begun a comprehensive surveillance programme, stating, “From 1 January, every single invoice will go through the tax agency in Spain.” He detailed the extent of data collection, which encompasses everything from utility bills to personal spending habits, raising concerns about the loss of confidentiality in everyday life.

The Risks of Data Collection

Wales pointed to the CONNECT AI programme currently employed by HMRC, which has reportedly amassed over 55 billion pieces of data related to taxpayers. He expressed alarm that this database is likely to have expanded significantly, allowing the agency to process an unprecedented amount of personal information about individuals with remarkable speed.

He remarked, “HMRC has been using sophisticated information technology for years, including an AI system called CONNECT. It will be much bigger today, with billions of pieces of information about taxpayers capable of being sorted quickly by AI.” The lack of transparency regarding the algorithms used by HMRC only heightens concerns about potential misuse.

Call for Parliamentary Oversight

Wales’s apprehensions are compounded by the apparent absence of robust parliamentary debate surrounding these practices. He emphasized the need for UK lawmakers to take a firmer stance on the powers of tax authorities. In his view, the current trajectory could lead to a system similar to Spain’s, where the processes governing data use are shrouded in secrecy, making legal challenges nearly impossible.

“Spain’s system is out of control, and there is little oversight,” he cautioned. The Spanish government is reportedly trying to legislate the secrecy of data usage and algorithm applications, raising significant ethical concerns regarding transparency and accountability.

HMRC’s Response

In response to these concerns, an HMRC spokesperson stated, “Our data and collection powers are set by Parliament and subject to strict legal safeguards, oversight, and data protection laws.” They assured the public that artificial intelligence is used to support processes but never to replace human judgment and oversight.

The spokesperson added that the measures are designed to ensure that the right amount of tax is collected while minimizing intrusion on law-abiding citizens.

Why it Matters

The implications of Dr Chris Wales’s warnings are profound. As technology evolves, so too does the capacity for governments to intrude into the private lives of their citizens. The potential adoption of AI-powered financial surveillance by HMRC not only threatens personal privacy but also raises critical questions about consent, transparency, and the future of democratic accountability. As these discussions unfold, the need for rigorous oversight and public discourse becomes increasingly urgent.

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Priya Sharma is a financial markets reporter covering equities, bonds, currencies, and commodities. With a CFA qualification and five years of experience at the Financial Times, she translates complex market movements into accessible analysis for general readers. She is particularly known for her coverage of retail investing and market volatility.
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