Afterpay, Block and AI: How Fintech Is Using AI to Change Small Business Lending and Payments

When a customer pays with Afterpay, dozens of AI decisions happen in milliseconds. Is this transaction fraudulent? Does this customer qualify for this purchase? Is this merchant behaving normally? The answers determine whether the payment goes through: and they’re all made by machine learning models, not humans.

Block: the US fintech that owns Afterpay, Square, and Cash App: is one of the most AI-intensive financial technology companies operating in Australia. Understanding what they’re doing with AI helps Australian small businesses make better decisions about payments, lending, and financial tools.

Afterpay and AI

Afterpay’s core business model: buy now, pay later with no interest charged to the consumer: only works if credit decisions are both fast and accurate. Too conservative, and you decline customers who would have paid; too liberal, and losses blow out.

Afterpay’s AI handles this at scale:

• Real-time credit decisions: Each Afterpay transaction triggers an AI model that assesses the consumer’s repayment probability in real time: using their purchase history, repayment behaviour, spending patterns, and hundreds of other signals. The decision happens in under a second.
• Fraud detection: Separate AI models detect fraudulent transactions: compromised accounts, synthetic identities, unusual purchasing patterns. Afterpay’s fraud rates have been consistently below industry averages, which Block attributes partly to its ML-driven fraud systems.
• Merchant risk: AI models also assess merchant behaviour: detecting merchants who may be using Afterpay inappropriately, manipulating refund patterns, or experiencing sudden sales spikes that suggest account compromise.

Square and Small Business Lending

Square. Block’s point-of-sale and business platform: offers working capital loans to eligible Australian small businesses through Square Loans (formerly Square Capital). This product is almost entirely AI-driven and represents a genuinely different approach to small business lending.

Traditional small business lending involves: application forms, financial statements, credit checks, bank interviews, waiting weeks for a decision. Square Loans works differently:

• Square analyses the merchant’s actual transaction history: daily revenue, seasonal patterns, growth trends, refund rates, customer retention.
• AI models use this data to assess creditworthiness based on demonstrated business performance rather than credit scores or collateral.
• Eligible merchants receive a pre-approved offer: a specific loan amount at a flat fee, with repayment automatically deducted as a percentage of daily card sales.
• The decision is often available within the Square dashboard, with funding within one to two business days.

For small businesses with strong trading history but limited collateral or credit history: new businesses, sole traders, hospitality operators: this model can provide access to working capital that traditional banks won’t extend.

The Broader Fintech AI Picture in Australia

Block is not alone. Other fintech platforms serving Australian small businesses are similarly AI-intensive:

• Stripe: Uses ML for fraud detection, dispute prediction, and its Stripe Capital lending product: similar to Square Loans in its data-driven approach.
• Zip Co: Australian-founded BNPL operator with AI-driven credit decisions. Has faced higher default rates than Afterpay, partly reflecting a more permissive credit model.
• Prospa: Australian small business lender that uses AI to analyse bank statement data and provide faster lending decisions than traditional banks.
• Airwallex: Australian-founded global payments platform using AI for FX rate optimisation, fraud detection, and compliance monitoring.

What Small Businesses Should Know

The AI behind your payment and lending platforms has practical implications:

• Your transaction data is your credit score. For platforms like Square and Stripe, your actual business performance: consistent revenue, low refund rates, predictable patterns: determines your access to lending. Running clean, consistent transactions through these platforms builds a financial history that can unlock working capital when you need it.
• Fraud flags can freeze your account. AI fraud models can be triggered by unusual patterns: a sudden sales spike, transactions in a new location, a high refund rate after a promotion. If your legitimate business activity triggers a fraud flag, you may need to contact support with documentation. Understanding this in advance prevents unpleasant surprises.
• BNPL terms are personalised by AI. Afterpay’s spending limits, transaction approvals, and payment terms are not the same for every consumer or every merchant. They’re dynamically set by AI based on behaviour. Customers with strong repayment histories get higher limits; merchants with good track records get better terms.

🦅 The opportunity: If your business takes card payments through Square or Stripe, check whether you’re eligible for a working capital product. The application is usually pre-filled from your transaction data, takes minutes, and the funding timeline (1–2 business days) is incomparably faster than a bank business loan. It won’t suit every situation: the flat fee model can be expensive compared to a bank loan at low interest rates: but for short-term working capital needs, it’s worth understanding what’s available.

Related: Scalapay: The European BNPL Platform with Australian Roots | Australian AI News Recap: Tuesday 14 April 2026

This article is general information only. Lending products are subject to eligibility criteria. Compare options and seek financial advice before taking on business debt.

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Sources

• Square. Square Loans for Australian Small Business
• Afterpay. For Retailers (AU)
• Block Inc. Investor News Releases
• APRA. Buy Now Pay Later Regulation in Australia

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