Key Takeaways :

• AI agents could turn software into active participants in digital payments and commerce.

• Visa and Mastercard could benefit from new payment activity and stronger transaction controls.

• Affirm and other digital lenders could use AI to improve credit decisions and profitability.

Artificial intelligence could bring a major shift to financial technology, or fintech, stocks. The first phase focused on chatbots, customer support, fraud checks, and basic automation. The next phase could go much further. 

AI agents may soon search for products, make choices, and complete payments on behalf of customers. That change could create a new source of revenue for payment networks, digital lenders, brokers, and other fintech firms.

The opportunity already has real data behind it. A 2026 Cambridge Centre for Alternative Finance study found that 81% of financial-services firms now use AI at some level. Fintech firms lead traditional financial institutions in advanced AI adoption, at 47% versus 30%. The gap also appears in profits. Some 56% of fintech firms reported higher profits from AI, compared with 34% of traditional financial firms.

AI Could Turn Software into a New Type of Customer

The biggest change may come from AI agents. A normal AI tool can suggest a product or answer a question. An AI agent could take the next step and complete a purchase. Such a system could search for a product, compare prices, select an option, and send payment after a customer sets clear rules.

That model could create millions of small digital transactions. Payment networks could then earn money from activity that never required a person to tap a card or approve each purchase.

Mastercard has already moved into this area with Agent Pay for Machines. The service supports payments between AI agents and machines and adds tools for identity, permission, transaction controls, and settlement. Mastercard listed more than 30 early partners, such as Stripe, Adyen, Coinbase, and Cloudflare.

Visa has taken a similar path. Its work on agentic commerce points to a mix of card payments and stablecoins. Stablecoins may suit very small machine-to-machine payments, while cards may remain useful for larger purchases.

Visa and Mastercard Have a Strong Position

Visa and Mastercard may hold an advantage in this new market. Neither company needs to build the best AI model. Their role can sit underneath the AI system, where payment approval, fraud checks, identity, and settlement matter.

AI can also help these networks raise approval rates and reduce fraud losses. Better transaction checks could improve both revenue and profit margins. Fidelity has highlighted Visa and Mastercard as fintech firms with strong AI exposure through fraud control, transaction routing, and other digital services. That creates a simple investment idea: AI may create new demand, while payment networks can supply the financial rails.

Also Read - How an Indian Fintech Firm is Revolutionizing Elective Healthcare

Digital Lenders Could Gain From Better Credit Decisions

AI could also change digital lending. A lender such as Affirm can use large amounts of customer and transaction data to improve credit decisions. Better risk models can help a lender approve more customers without taking on excessive losses.

Affirm offers a useful example. Its latest fiscal fourth-quarter results showed revenue of USD 1.2 billion, up 33% from a year earlier. Gross merchandise volume reached USD 14.1 billion, up 36%. Its operating margin reached 12.6%, a six-percentage-point rise. Its 30-day delinquency rate stood at 2.5%, below the 2.7% to 2.8% range from recent quarters.

Those figures matter more than an AI label. Investors need proof that technology can support stronger growth, better credit quality, and higher profits.

PayPal Shows the Other Side of the Story

PayPal also has a role in the AI commerce race, yet its case carries more risk. The company wants to make its checkout system useful for AI agents. That could give PayPal a place in purchases that start with an AI system rather than a human shopper.

Still, PayPal faces pressure from rivals and needs stronger execution. Its shares fell sharply in August after reports said an Advent and Stripe group had dropped a takeover proposal worth about USD 53 billion. The company now has to prove that its AI plans can support a wider business recovery.

India Offers a Clear Test for Agent Payments

India could provide one of the clearest real-world tests for this idea. A Reuters report said India plans a framework for small UPI payments through AI agents without human approval for every single transaction.

UPI processed 24.51 billion transactions worth about Rs. 29.82 trillion, or roughly USD 314 billion, in August 2026 alone. A new framework could let customers set limits and rules for AI agents, which would allow software to make certain payments on their behalf. That model could give AI agents a direct role in everyday commerce.

Also Read - Top UPI Apps Dominating Digital Payments in India in 2026

The Real Opportunity is Larger Than Cost Cuts

AI can help fintech firms cut staff costs, improve fraud checks, and speed up customer service. Those gains matter, but the larger prize may sit elsewhere.

If AI agents start to buy products, pay bills, book services, and move money, fintech firms could gain access to a new stream of financial activity. Payment networks such as Visa and Mastercard could provide the core rails. 

Firms such as Affirm and Nu Holdings could apply AI to credit decisions. PayPal and other digital platforms could compete for the customer relationship.

The strongest fintech stocks may not be the firms with the loudest AI claims. The better candidates could be companies with trusted brands, large data sets, strong payment networks, and clear paths from AI use to higher revenue or profit. The next phase of AI could make financial software more than a tool for people. It could turn software itself into an active participant in the financial system.

FAQs

1. Why could AI benefit fintech stocks?

AI could help fintech firms reduce costs, improve risk checks, increase payment activity, and create new sources of revenue.

2. How could AI agents affect payments?

AI agents could select products and complete payments under rules set by customers, creating new digital transaction activity.

3. Which fintech companies could benefit from AI adoption?

Visa, Mastercard, Affirm, PayPal, Nu Holdings, and other firms with strong digital infrastructure could gain from wider AI use.

4. Why are Visa and Mastercard important to the AI story?

Their payment networks could provide the infrastructure that supports transactions made by AI agents and machines.

5. Does AI adoption guarantee higher fintech stock prices?

No. Companies still need strong execution, reliable revenue growth, sound risk controls, and clear evidence that AI improves their financial results.