Pakistan credit gap: Only 5% of SMEs have formal lending access, report finds

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Pakistan credit gap: Only 5% of SMEs have formal lending access, report finds

Synopsis

Only 5% of Pakistan's SMEs have access to formal credit — far below regional norms. A new report argues that AI-powered digital lending, alternative data models, and fintech-telecom collaboration could unlock financing for millions of farmers, gig workers, and small businesses currently shut out of the formal system.

Key Takeaways

Formal credit penetration among SMEs in Pakistan is estimated at just 5% , significantly below regional and emerging-market peers.
AI-based lending tools can reportedly cut operational costs by 20–70% and lower default rates by up to 30% , according to industry data. easypaisa Digital Bank uses digital transaction data via easyCash and Merchant Cash Loans to serve borrowers with limited traditional banking access.
Broader digital credit expansion requires stronger digital infrastructure , financial literacy , consumer protection , and data governance .
The report stresses responsible lending: alternative-data models must be accompanied by robust risk management and explainable credit frameworks.

Millions of Pakistanis remain locked out of the formal credit system despite significant financing demand from small businesses, farmers, gig workers, and low-income households, according to a new report. The findings underscore a structural access gap that digital and technology-driven lending models are increasingly being positioned to address.

The Scale of the Credit Gap

Formal credit penetration among small and medium-sized enterprises (SMEs) in Pakistan stands at an estimated 5%, according to the report — a figure significantly below comparable levels across several regional and emerging markets. For micro, small and medium-sized enterprises (MSMEs) and underserved borrowers, restricted financing access directly curtails their ability to scale operations, generate employment, and contribute more meaningfully to the broader economy.

Traditional lending models remain a core part of the problem. They typically demand extensive documentation, collateral, established banking histories, and in-person branch visits. For borrowers in remote or rural areas, these requirements — compounded by limited financial literacy — place formal credit effectively out of reach.

How Digital Lending Could Bridge the Gap

Technology-driven lending models are attracting growing attention as a potential solution. Industry data cited in the report suggests that artificial intelligence (AI)-based lending tools can reduce operational costs by 20–70% in targeted areas and lower default rates by as much as 30%. Digital lenders can draw on transaction histories and alternative data sources to assess creditworthiness for borrowers who lack conventional credit profiles, offering insights into income patterns, cash flows, and repayment capacity.

One example cited is Pakistan-based easypaisa Digital Bank, which leverages digital transaction data through products including easyCash and Merchant Cash Loans to extend financing to individuals and small businesses — particularly those with limited access to traditional banking infrastructure.

The Conditions for Responsible Expansion

Despite the promise of digital credit, the report cautions that wider expansion will require simultaneous investment in digital infrastructure, financial literacy programmes, consumer protection mechanisms, and robust data governance frameworks. Effective collaboration among regulators, banks, fintech companies, and telecommunications providers is identified as essential.

Notably, the shift toward alternative-data-based credit assessments must also be accompanied by rigorous risk management and explainable credit models — ensuring that broader access does not come at the cost of responsible lending practices.

The Broader Opportunity

The report frames Pakistan's challenge as one of quality, not just quantity: the priority is ensuring that viable borrowers can access formal financing quickly, securely, and responsibly. Wider access to payments, savings, insurance, and credit, it argues, could strengthen financial resilience and support entrepreneurship — particularly among currently underserved segments. As digital infrastructure matures and regulatory frameworks evolve, the pace at which Pakistan closes this credit gap will be closely watched by regional development institutions and fintech investors alike.

Point of View

Namely predatory digital credit. Pakistan's experience with unregulated fintech in adjacent markets offers a cautionary note. The more important question is not whether AI can assess creditworthiness, but whether the State Bank of Pakistan has the supervisory capacity to govern the sector at scale. Without that, 'financial inclusion' risks becoming a euphemism for unregulated debt expansion among the most vulnerable.
NationPress
29 Sept 2026

Frequently Asked Questions

What is Pakistan's formal credit penetration rate for SMEs?
Formal credit penetration among small and medium-sized enterprises in Pakistan is estimated at around 5%, according to the report — well below levels seen in several regional and emerging markets. This leaves the vast majority of SMEs reliant on informal or no financing.
Why do millions of Pakistanis lack access to formal credit?
Traditional lending models require extensive documentation, collateral, established banking histories, and in-person branch visits. For borrowers in remote areas and those with limited financial literacy, these requirements make formal credit effectively inaccessible.
How can digital lending help close Pakistan's credit gap?
Digital lenders can use transaction histories and alternative data to assess borrowers who lack conventional credit profiles. Industry data suggests AI-based lending tools can reduce operational costs by 20–70% and lower default rates by up to 30%, making it more viable to serve underserved segments.
What is easypaisa Digital Bank's role in expanding credit access?
Pakistan-based easypaisa Digital Bank uses digital transaction data through products such as easyCash and Merchant Cash Loans to extend financing to individuals and small businesses that have limited access to traditional banking infrastructure.
What conditions are needed for responsible digital credit expansion in Pakistan?
The report identifies stronger digital infrastructure, financial literacy, consumer protection frameworks, data governance, and collaboration between regulators, banks, fintechs, and telecom providers as prerequisites. It also stresses the need for robust risk management and explainable credit models.
Nation Press
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