Kueski, a Mexican fintech that offers short‑term loans, has turned to artificial intelligence to replace the legacy credit models that often exclude large swaths of the population. By training algorithms on alternative data—such as mobile usage patterns, payment histories on other platforms, and even social media activity—Kueski’s CTO, Jaime Romero, believes it can assess risk more accurately than traditional credit bureaus. For retail crypto users, this means a potential future where borrowing against crypto holdings could become more accessible, especially in regions where banks are scarce or hesitant to lend.
The timing of this interview is noteworthy. Bitcoin is trading around $58,700, down 1.3% in the last 24 hours, while Ethereum sits near $1,580, down 0.9%. The broader market sentiment is described as “extreme fear,” suggesting that investors are cautious amid volatility. If AI‑based credit systems gain traction, they could provide a new source of liquidity that is less tied to fiat markets, offering a hedge for crypto holders during periods of market stress.
Regulators will play a decisive role. Kueski’s model must comply with local financial laws, and any missteps could stall the rollout of AI credit tools. For crypto enthusiasts, keeping an eye on regulatory developments—particularly in emerging markets—will help gauge whether these new credit infrastructures will integrate with blockchain‑based lending platforms or stablecoins. As the crypto ecosystem continues to mature, the convergence of AI, fintech, and digital assets may create fresh opportunities for both borrowers and investors alike.