
Delivery Apps Lend to Own Riders as Data-Driven Finance Spreads
A new model of platform-based credit, using behavioural data as collateral, is reshaping financial access for workers, merchants and taxpayers from Argentina to Kenya.
Delivery platforms in Latin America are turning their riders into borrowers, using granular work data to issue credit that is automatically repaid from earnings. A report by Argentina’s central bank shows the number of indebted delivery workers rose 122% in 2025, after a 177% increase the previous year. Average debt for a registered rider reached 900,000 pesos; for merchants borrowing from the same apps, it was seven times higher. PedidosYa, a leading firm, extended 57,000 loans worth $84 million, with monthly payments capped at 30% of the income a worker generates on the platform. The loans are earmarked almost exclusively for buying, maintaining or repairing the motorcycles and bicycles used for deliveries.
The mechanism relies on what the central bank calls ‘digital collateral’. The platform already tracks a rider’s hours, delivery volume, acceptance rate and customer ratings, allowing it to assess creditworthiness without payslips or credit history. Repayment is deducted at source: a portion of each delivery fee is withheld before the money reaches the worker’s account, tying the debt directly to continued platform labour. Labour unions in Argentina argue this creates structural indebtedness. Belén D’Ambrosio of the Sitrarepa union said annualised interest rates can reach 700%, forcing riders to work 10–12 hours a day to cover fixed costs, and is calling for state regulation of these loans.
The same data-as-collateral logic is spreading. In Kenya, the tax authority uses its electronic invoice system to pre-populate returns and cross-check declarations, shifting compliance from self-assessment to data verification. In Brazil, restaurant technology firms offer loyalty and cashback tools that let small eateries capture customer data and reduce reliance on delivery marketplaces, where the platform owns the diner relationship. Both cases illustrate how entities controlling behavioural data are extending financial services to populations without traditional credit histories.
The next milestone is regulatory. Argentina’s central bank has documented the lending surge but has not yet imposed rules; Colombia’s authorities are watching as similar products emerge. Kenya’s revenue authority is pairing its data-driven enforcement with a tax amnesty that expires in December 2026, after which automated assessments are expected to become routine. Whether regulators will introduce interest-rate caps, data-portability requirements or licensing regimes for platform-based credit is the question that will determine how this model evolves.
| Latin American press | −0.70 | critical |
|---|---|---|
| Sub-Saharan African press | +0.10 | neutral |
| Southeast Asian press | +0.50 | aligned |
Delivery platforms turn behavioral data into credit tools, trapping workers in mounting debt.
The bloc builds credibility by citing official data (BCRA) and precise percentages, turning a business phenomenon into a social problem.
The bloc omits the potential benefits for workers who might gain access to credit without collateral, and does not discuss the regulatory framework that permits this model.
The Kenyan tax authority uses digital data to automate compliance, without the need for inspections.
The bloc legitimizes the change by describing a gradual, data-driven process without alarmist tones, normalizing fiscal surveillance.
The bloc does not mention privacy risks or the use of data by private platforms for credit, as highlighted in the Latin American bloc.
Indonesia digitalizes zakat and taxes to increase transparency and reduce poverty.
The bloc uses positive, future-oriented language, associating digitalization with religious and social values, making the change desirable.
The bloc omits discussion of potential digital access inequalities or the use of data for social control, present in other blocs.
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