Industry
What Stripe data shows about fraud at AI startups
We analyzed attempted fraud rates and customer abuse patterns on Stripe over the past year and found that AI companies faced 4.3x more fraud attempts than startups overall in Q3 2025.
Stripe events, partnerships, and industry observations
We analyzed attempted fraud rates and customer abuse patterns on Stripe over the past year and found that AI companies faced 4.3x more fraud attempts than startups overall in Q3 2025.
As AI transforms software economics, the standard revenue playbook is breaking down. Learn how leaders around the world are preparing for agent buyers, updating processes for faster pricing iteration, and building more flexible infrastructure.
Platforms like DoorDash, Meta, and Deel already enable stablecoin payouts for global workers. We surveyed 2,300 workers in 20 countries to see what's driving stablecoin demand, where the opportunity is highest, and how other platforms can adapt.
AI companies are undergoing rapid global expansion while achieving unprecedented rates of growth. We analyzed Stripe data to understand where global demand is the strongest, and how companies can build to best capture that demand.
To understand what can influence win rates, we analyzed evidence packets from one million disputes over a 16-week period. Here’s what the data shows and what it means for how you mitigate disputes.
More than 6,000 hospitality executives and operators gathered in San Antonio last week for the HITEC conference. The big topic: whether the industry’s AI investment is actually working. Across four days and over 50 meetings, four trends stood out.
We analyzed spending patterns across the 250 million customers paying with Link. We found that Link customers are spending more on AI than they were three months prior, investing heavily in platforms that let them build with AI.
In 2025, solo founders in the top decile generated 61 times the revenue of the median solo founder in their first six months. We analyzed the data to understand what drives that gap.
AI is forcing platforms to expand beyond pure software. See how vertical SaaS platforms are using payments, financial services, and agentic commerce to build more durable businesses.
Retailers know search and discovery have already shifted. What comes next is less settled. From embedded checkout to emerging third-party surfaces, here’s how ecommerce and AI leaders are integrating agentic commerce.
The most sophisticated fraud teams are shifting from one-size-fits-all fraud approaches to more dynamic, tailored interventions. They are removing friction for trusted users, embedding fraud detection directly into agentic transactions, and investing in multilayered identity verification to combat deepfakes.
From November 2025 to February 2026, our models detected 6.2x more abusive free trials across the Stripe network. This is part of a broader shift toward first-party fraud, where legitimate users abuse policies by setting up multiple accounts, cycling through free trials, or exploiting refunds.
Not only are the majority of retailers actively implementing, or have plans to implement, agentic commerce, but many are also moving to a more tactical phase of optimizing their setup—refining their product catalog strategy to launch faster and investing in their own agentic shopping experiences in addition to integrating with third-party agents.
Our recent survey of 2,000+ global business leaders showed that the fastest-growing companies are approaching pricing differently than their peers. Here are some of the strategies behind their success.
While businesses are rapidly building AI products, monetization remains a challenge. In this post, we share a framework for building a successful pricing strategy with key decision points on charge metrics, billing models, and guardrails.
Our analysis showed that even with very high two-factor authentication trigger rates—which traditionally add friction to the checkout flow—France, the UK, and Japan still maintain high conversion rates.
Our recent survey of more than 4,000 payments leaders worldwide showed that 47% of businesses now use an AI tool or feature to detect and prevent fraud—making it the most popular application of AI in payments. But adoption isn’t uniform across all sectors. Understanding which types of companies are leading this shift—and why—offers insights into where fraud prevention is heading and which strategies are most effective.
AI companies are rewriting the rules of growth. In our new report, Indexing the AI economy, we explore the latest trends and strategies in the AI space.
Last week, we shared new data that helps businesses understand the conversion and revenue benefits of offering different payment methods. Now we want to share how we ran the experiment. As we explain in the rest of this post, we had to test millions of combinations of payment methods while ensuring that we maintained a consistent shopping experience for customers.
We have data that shows when at least one additional relevant payment method beyond cards is dynamically surfaced, businesses on average see a meaningful increase in conversion and revenue.