LAS VEGAS — Aug. 10, 2026 — At Ai4 2026 in Las Vegas, PayPal made the case that the biggest obstacle to AI adoption is trust. Chief Technology Officer, Srini Venkatesan, took the mainstage to share how 20 years of trust and infrastructure investments are closing that gap, turning AI into everyday outcomes for merchants and consumers — from automated integration support to trusted agentic commerce.
PayPal CTO Srini Venkatesan on stage at Ai4 2026.
Venkatesan laid out how PayPal, which for more than two decades has transformed complex technologies, including fraud detection, risk management and global payments infrastructure, into experiences merchants and consumers can trust, is putting that same long-standing discipline to work in AI.
"PayPal has long been a trusted, reliable payment partner of internet commerce," Venkatesan said. "Commerce has expanded from the internet to social to agentic — and through all of that change, our north star stays the same: to be the dependable backbone for trusted payments, no matter the channel. It all comes down to trust."
Closing the distance between possibility and impact for customers and merchants
During the keynote, Venkatesan joined Stack Overflow podcast host Ryan Donovan for a conversation on the "AI gap": the growing distance between the capabilities of today's AI models and the tangible impact they deliver for everyday businesses. For PayPal, closing that gap requires solving the "last mile" of AI adoption, which means removing technical and operational friction to deliver something a business can depend on every day.
That challenge is particularly important for small- and medium-sized businesses to solve, as they may not have the time, resources, or specialized expertise required to keep pace with complex new technologies. Rather than aiming to make merchants AI experts, a better approach is to make advanced capabilities trusted, reliable, and simple so that businesses can benefit from them without managing the underlying complexity themselves.
Helping merchants modernize with agentic AI
PayPal's booth on the show floor at Ai4 2026.
Venkatesan pointed to PayPal's Merchant AI Integration Agent, which reads a merchant's codebase, understands its PayPal integration, and automatically upgrades, validates, and certifies compliance with the latest version. For years, that kind of upgrade required a developer or integration specialist to compete with a merchant's own product roadmap; with the integration agent, the same certification now takes hours rather than weeks.
The agent is designed to keep getting better the longer it runs. It is self-learning and memory-preserving, so every integration pattern it resolves is written into memory, making future similar cases resolve faster. It also runs on the merchant's own computing infrastructure, keeping it within their secure environment. This is part of PayPal's continued focus on giving merchants dependable, low-maintenance support as their AI systems mature.
"We want to give merchants their focus back so they can grow revenue," Venkatesan said. "We handle the rest behind the scenes, keeping them up to date with the latest technology to help drive their business, today and in the future."
Continued investment in low friction, trusted checkout
Venkatesan also connected PayPal's AI work to its track record of reducing friction at checkout. He pointed to PayPal's launch earlier this year of one-tap purchasing, which lets a shopper scrolling their feed buy a product without leaving their page, as the latest step in that ongoing effort. It's possible, he said, because PayPal already knows the customer – their wallet, shipping, and payment details – and connects that information directly to a merchant's product information in a single orchestrated step, backed by decades fraud infrastructure operating invisibly in the background.
Building the trusted infrastructure for what's next
Looking ahead, Venkatesan sees trust in autonomous agents as the next chapter of a problem PayPal has spent its history solving. This is the same trust gap the early internet faced between buyers and unfamiliar merchants, one PayPal helped close two decades ago to unlock the growth of internet commerce. In the future, he said, the unfamiliar party in a transaction will increasingly be an agent, and the stakes will be higher.
Venkatesan introduced the concept of Know Your Agent, or “KYA” extending the identity verification behind Know Your Customer and Know Your Business into agent-to-agent transactions. It uses the same identity, fraud-prevention, and real-time risk systems PayPal has built and refined.
PayPal isn't waiting for agent-to-agent transactions to scale further before building the trust layer underneath them.