AI Commerce is Coming, But Trust Must Come First
AI Commerce is Coming, But Trust Must Come First
https://www.pymnts.com/study_posts/ai-changes-commerce-visa-wants-trust-to-scale-with-it/
Publish Date: 2026-05-27 04:04:00
Source Domain: www.pymnts.com
- AI Transforming Commerce: Artificial intelligence is evolving from a productivity tool to an integral layer in commerce, aiding consumers with product searches, price comparisons, travel planning, and financial management. Merchants are exploring personalized shopping experiences enabled by AI.
- Infrastructure Challenges: While AI can accelerate commerce, the underlying infrastructure must catch up. Banks and issuers are modernizing systems but face challenges due to legacy systems that do not support real-time intelligence or automated decision-making.
- Trust as Infrastructure: Trust in AI commerce is critical. Identity, authentication, approval, and resolution need to operate seamlessly behind the scenes to maintain consumer trust, especially with software agents handling purchases autonomously.
- Real-Time Data Dependency: AI requires immediate access to clean, real-time data. Real-time infrastructure supports personalization, compliance, and automation, making it foundational for effective AI integration.
- Fraud Modernization: Fraudsters use AI tools for large-scale scams, exploiting automated systems and fragmented data flows. Defending against fraud involves embedding intelligence throughout the payment lifecycle.
- Visa’s Strategy: Visa focuses on embedding trust, intelligence, risk management, and infrastructure modernization into the payments ecosystem. Value-added services enable AI commerce to scale securely and safely.
- Infrastructure Evolution: Visa aims to modernize payment infrastructure to support AI-driven commerce and innovation. Tokenization and integrated data intelligence are central to enabling secure and agile payment processes.
- Fraud Prevention: Visa tackles industrialization of fraud by connecting signals across payment stages and embedding behavioral analytics to understand and protect legitimate activities, aiming to make fraud operations unprofitable for criminals.
