Study Finds AI Must Earn the Right to Move Money

Study Finds AI Must Earn the Right to Move Money

Study Finds AI Must Earn the Right to Move Money

https://www.pymnts.com/news/artificial-intelligence/2026/study-finds-ai-must-earn-the-right-to-move-money/

Publish Date: 2026-07-10 04:00:00

Source Domain: www.pymnts.com

Enterprise artificial intelligence promises nearly as many different business outcomes as there are businesses themselves. It comes as little surprise, then, that the AI race inside enterprise technology is already starting to split along sector lines.

New research in the June edition of The Enterprise AI Benchmark Report from PYMNTS Intelligence revealed that cybersecurity firms are deploying AI broadly, while software-as-a-service companies are using it to accelerate growth, product development and competitive positioning. Payments providers, however, are putting AI closest to the transaction layer and asking it to prove its value before it scales. That may look like caution. It may also be the more important signal.

Payments Firms Are Turning AI Into an ROI Test, Not a Tech Rollout

AI is not developing as one horizontal technology wave. It is being shaped by each sector’s operating model. For payments, that model is unforgiving. The sector sits where software touches money movement, fraud exposure, compliance requirements, settlement accuracy and customer trust. That makes AI less of a productivity experiment and more of an operating-control question.

Payments companies are not short on AI use cases. Fraud review, chargeback management, transaction monitoring, merchant onboarding, reconciliation, customer service, authorization optimization and compliance workflows all contain the kind of high-volume, pattern-heavy activity AI is built to improve.

The issue is not whether payments firms can deploy AI more widely. It is whether they can deploy it safely, profitably and visibly enough to give it more responsibility.

The report found that 80% of payments firms cited risk and compliance reduction as reasons for funding AI, while 70% cited margins and profitability. Another 80% cited productivity or efficiency gains, and 75% cited financial return on investment.

Read the report: New Data Shows How Tech Sectors Are Turning AI Into Strategy

The priorities show…

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