Algorithmic Risk and Financial Inclusion: Implications of Pakistan’s Digital Lending Reforms for Excluded Borrowers

Pakistan’s rapid growth in digital lending Nano-credit offered via mobile apps using alternative data briefly extended formal credit to large numbers of previously unbanked users. By 2022, however, the market collapsed into a high-profile crisis of predatory algorithms, coercive collection, and systemic consumer harm. In response, Pakistani regulators and platform gatekeepers enacted sweeping reforms: the Securities and Exchange Commission of Pakistan (SECP) issued a Digital Lending Framework, the State Bank of Pakistan (SBP) tightened microfinance rules, and Google removed unlicensed apps from the Play Store. This article examines the implications of these reforms for “excluded borrowers” adults with thin or no formal credit history. Employing a qualitative case-study methodology, combining regulatory document analysis, secondary market data, and reported incident evidence triangulated across multiple independent sources, the article finds strong evidence that the reforms produced a notable protection-inclusion trade-off. While they demonstrably curbed predatory practices and algorithmic harms, the new regulatory architecture simultaneously constricted the very mechanisms alternative data underwriting, high-volume Nano-lending, and low-cost mobile distribution that had briefly included excluded borrowers. The article conceptualizes this dynamic as protection-induced exclusion, extending existing discussions in financial exclusion theory by identifying a regulatory channel through which consumer safeguards can unintentionally eliminate the only credit access point for the financially invisible. The analysis yields governance lessons for the design of inclusion-by-design frameworks that do not force an artificial choice between safety and access.