Tony Blair Institute Advocates for AI-Powered Digital ID to 'Rank Taxpayers' and Monitor Financial Activity

The Blair Institute's Vision for AI-Driven Financial Oversight

The Tony Blair Institute (TBI) for Global Change is pushing for a profound transformation in how governments manage public finances, proposing the integration of Artificial Intelligence (AI) with digital identity systems. The stated goal is to create an advanced mechanism to "rank taxpayers" and detect "discrepancies between taxpayer activity and declarations." This initiative, detailed in TBI's July 2026 insight report, "'Where Do I Start?' How Governments Can Use AI and Data to Unlock Fiscal Space," outlines a "dual-track approach" aimed at identifying revenue loss and spending leakage.

The 'Dual-Track-and-Trace' Mechanism

While TBI labels its method a "dual-track approach," critics argue it functions more accurately as a "dual-track-and-trace" system. This is because it necessitates a digital ID for every individual, intricately linked to their financial data. This infrastructure would allow governments to gain insight into transactions even before official declarations are made, effectively creating a real-time monitoring system for economic activities. As the TBI report states, "The long-term track strengthens the digital and fiscal infrastructure of the state, which includes areas like financial management, tax administration, payroll, procurement, customs, digital identity, payments, data standards and institutional controls."

AI's Role in Unlocking Fiscal Space

The TBI report emphasizes that many governments already possess sufficient usable data to commence this advanced oversight. This includes extensive datasets such as payroll files, payment records, procurement systems, customs declarations, tax returns, beneficiary registries, company registers, geographic information system (GIS) data, and existing digital-ID records. Even if these datasets are fragmented, AI and analytics can enhance their utility by matching records, identifying outliers, prioritizing cases, and reducing review costs.

Key AI-enabled capabilities highlighted by the Institute for Public Financial Management (PFM) include:

• Cross-system entity matching: Linking individuals, firms, accounts, tax IDs, suppliers, and beneficiaries across disparate databases.
• Explainable risk scoring: Ranking taxpayers, suppliers, refunds, payments, or declarations based on their likely fiscal risk.
• Agent-supported casework: Automating tasks like file reading, system querying, record comparison, and case summary preparation for officials.
• Messy-data analysis: Finding patterns within unstructured data such as spreadsheets, PDFs, scans, invoices, and registries.
• GIS and image verification: Utilizing satellite imagery and geotagged photos to verify projects, assets, or agricultural activity.

Such capabilities are designed to help governments identify issues like "ghost workers, ineligible subsidy claims, suspicious payments and inflated procurement prices," as well as target "tax non-compliance, customs fraud, risky VAT refunds and discrepancies between taxpayer activity and declarations."

Broader Implications: A Path Towards Social Credit?

This initiative has sparked significant debate, drawing parallels to a Chinese Communist Party (CCP)-style social credit system. The underlying concern is that by integrating biometric or digital identity systems with financial databases and assigning risk scores, a comprehensive framework for surveillance and control could emerge. While presented as a means to enhance efficiency and curb wasteful spending, the model's emphasis on individual ranking and pervasive data collection raises alarms about privacy and individual autonomy in an increasingly digitized world.

The TBI's proposals resonate with the vision articulated by Oracle co-founder Larry Ellison, a key backer of the Institute. At the World Governments Summit in February 2025, Ellison advocated for unifying all fragmented government data—including health data—into a single, comprehensive database. He argued this would allow AI to extract insights and recommend actions, making governments more efficient. Following this, TBI published a blueprint for a digital ID-linked "National Data Library" in the UK, designed to unlock the full potential of public-sector data by enabling "secure, seamless, quick and scalable access to linked data sets."

Ellison has reportedly invested hundreds of millions in the TBI, signaling a strong alliance between the technology mogul and the former UK prime minister's think tank. Critics highlight the deeper implications, suggesting that this push for Digital Public Infrastructure (DPI)—encompassing digital ID, programmable fast payment systems, and extensive data exchanges—forms the foundation of an emerging global digital control grid. This system, it is feared, could monitor, track, and trace every action, feeding into a social credit system that rewards compliant behavior while penalizing perceived transgressions. The slow, incremental policy changes advocated by groups like the Fabian Society, with which Tony Blair's Labour Party has historical ties, are seen by some as contributing to the gradual realization of this globalist agenda.