“结账页面不应存在”——Stripe 谈代理式商务
- Stripe 的 cohort 数据正在挑战软件商品化论:上半年注册量同比增长50%,2026年 cohort 的收入中位数比2025年高50%,而2025年又比2024年高70%;尽管市场叙事认为垂直平台会陷入困境,Stripe 新 SaaS 平台 cohort 仍扩大了103%。 Gaybrick 认为商品化论「有 plausibility」,并称「我们要么已经身处奇点,要么正缓慢走向奇点」,但「眼下看到的恰恰相反」——软件产出更多、变现更快,ElevenLabs 已使用14款 Stripe 产品。
- Stripe 内部智能体集群「Stripe Minions」的单次完成 PR 数量,已从1月/2月博客发布时每周约1,200个增至上周的7,000个,约占 Stripe 全部 PR 的30%;Minion PR 占比已成为公司最重要的内部指标之一。 设计原则是:「不要反复迭代,也不要进入规划模式,只要说清楚我想要什么,然后去做。」组织层面的答案则是更扁平、更小的团队:Stripe Projects 主要由1名 PM 和1名高级工程师在几周内搭建完成,而这名工程师如今正从一个界面协调16个智能体。
- Gaybrick 给出的资源配置判断颇为反常:多数公司把智能体效率理解为削减 opex;Stripe 的信念是「我有点调皮,但把一切都做出来」,因为「优化成本结构,就是做空自身未来的潜力」。 KAI 提供了支持 Jevons 效应而非裁员的证据:这款由2人打造的内部 AI 工具将销售生产率提高了20%,结论不是「我们需要更少的销售」,而是「我们需要更多销售」;全球税务申报的交付时间也只有美国申报的1/3,且复杂度更高。
- 智能体商业之所以还没有迎来「Claude Opus 4.5 式的寒武纪大爆发」,是因为底层原语尚未齐备;因此 Stripe 与 Tempo 搭建了机器支付协议,让服务通过402响应直接说明「购买我的方式」,并在4亿 Link 用户之上推出 Link 智能体钱包 CLI。 Gaybrick 认为,在最好情况下,结账页面不仅对智能体、对人类也可能消失。最令人兴奋的领域是 B2B:智能体可通过 Stripe Projects 配置 Vercel 或 Browserbase。David George 表示,这已经在塑造 a16z 的开发者工具投资逻辑:「假设未来购物的是智能体。」
- 自互联网诞生以来屡屡失败的微支付,可能终于会因为智能体与稳定币消除旧有摩擦而成立。 过去的困境是,按文章收费既输给订阅模式,也输给广告模式;但当智能体拿着一次性预算在互联网上「像小蜂鸟一样到处飞,在这里吸一点数据……在那里做一点计算」时,用户无需为每项服务开一个月费账户,只要说「智能体,你的预算是15美元,出发」。
- 稳定币的核心命题是地缘政治层面的支付基础设施:印度本土 UPI 处理了低于5美元支付的约86%,而美国银行卡的占比只有个位数;UPI 和 Pix 在本地都很好用,但「全球经济需要一个 Schelling point」,而加密支付轨道可能提供这一支点。 Stripe 目前通过法币覆盖约60个国家,通过稳定币覆盖约150个国家;Felix Pago 经过数年发展,已占美墨汇款通道5%至10%。Tempo 则希望打造一条支付专用链,提供原生隐私、稳定吞吐和稳定费用,DoorDash 已参与其中。
- George 估计 Stripe 的交易额已超过2万亿美元;Gaybrick 则认为,token 正在与货币逐渐模糊边界。 针对 Cursor、Replit 等通用 token 消费者的攻击,「非常像我们看到的试图窃取 Stripe 用户资金的行为」,这要求 Stripe 把 token↔美元之间的流转做得和美元↔欧元一样安全。欺诈方面,Gaybrick 认为 Cursor 可能是 Stripe 在该领域的第一个用户,并称免费试用用户大约每6人就有1人存在滥用行为;如今 Stripe 的信号每天帮助 ElevenLabs 拦截2,000名免费试用滥用者。
- Clerk 的 Colin 用一句话概括这套战略:「赢下所有初创公司,然后再赢它们一次」——初创公司是下一轮机会的风向标,也会以最高标准检验 Stripe(企业客户的 CSAT 赞扬 Stripe 的报告能力,初创公司却称其「垃圾」),推动 Stripe 覆盖近一半《财富》500强。 品味通过自上而下的重复、产品使用与模拟来规模化:建立不含 PII、增长随机化的合成账户,模拟真实争议与退款。George 给投资人的框架是,创始人这一资产类别负责发现下一个产品领域;Gaybrick 的收官愿景则是「在 Stripe 内部打造下一个 Stripe」。
1. Stripe 反转:从支付公司变成消除摩擦、赋予行动能力的平台
- Gaybrick 的框架是:Stripe 已将价值主张「反转」,从一家带有附加服务的支付公司,变成拥有多产品的金融基础设施平台——约25–30款对外主打的品牌产品,以及数百乃至数千项功能。George 表示,平均一家 AI 公司使用11款 Stripe 产品,并在 Sessions 上提到288项不同的产品发布;Gaybrick 回应:「我相信你说的288。」衡量一切工作的共同标准,是降低摩擦,并提升所有触及收入和现金流环节的行动能力。
- AI 时代的欺诈故事是这样的:在 AI 之前,免费试用滥用「基本不是问题」,因为浪费的算力成本几乎可以忽略;但如今软件已经有了真实的成本结构。Gaybrick 认为 Cursor 可能是 Stripe 在这一问题上的第一个合作用户;他称免费试用用户大约每6人就有1人存在滥用行为,有些人会反复开设账户,甚至可能进行模型蒸馏。Stripe「和他们一起钻进掩体」,用一个周末搭建出一套管道:调用其基础模型,结合 Stripe 网络中的信号、embeddings 和解释层,说明每次注册为何看起来像滥用。如今 ElevenLabs 借助 Stripe 的信号每天拦截2,000名滥用者。
- 在赋予行动能力方面,Stripe Managed Payments 在长尾市场——「哈萨克斯坦这类市场」以及整个 APAC——充当记录商,负责税务计算和缴纳,让数字商品类 AI 公司无需设立当地实体,也能在100多个地理市场合规销售。
2. 「赢下所有初创公司,然后再赢它们一次」
- Gaybrick 将这句总结归功于 Clerk 的 Colin。初创公司会成长为明日巨头,是「下一轮机会的风向标」;但更隐蔽的原因在于标准:企业客户的 CSAT 会夸赞 Stripe 的报告能力,称其「远胜于我们从其他任何」服务商那里得到的东西——而这些服务商往往是它们习惯使用的 incumbent;初创公司面对同一套报告却会说:「垃圾。你们得修好它。」
- 持续服务初创公司,会不断把 Stripe 拉向高端市场:目前覆盖范围已接近、但尚未达到《财富》500强的一半,其中包括 Amazon 和 Microsoft。销售与售后激活方式有所不同,但打法不变:贴近用户,并在用户自己的指标上证明产品更好。
3. Cohort 数据:软件创造正在爆发,而非商品化
- 上半年注册量同比增长50%;2026年 cohort 的收入中位数比可比的2025年 cohort 高50%,而2025年 cohort 又比可比的2024年高70%。Gaybrick 认为有两个驱动因素:AI 扩大了机会版图——「4年前你做不出 Suno……也做不出 Higgsfield」;同时,智能体编程降低了构建成本。
- 面对9个月前「垂直 SaaS 平台会陷入困境」的叙事,Stripe 的新 SaaS 平台 cohort 在2026年比2025年扩大了103%;Stripe Billing 的使用增长也快于 Stripe 整体,因为其客户结构更偏向新软件公司的诞生。
- 对商品化假说,Gaybrick 保留了原有的谨慎表述:这件事「有 plausibility」——「我们要么已经身处奇点,要么正缓慢走向奇点」——「但眼下看到的恰恰相反」。软件的创造和采用速度都比过去更快,每个客户使用的 Stripe 产品也更多:ElevenLabs 使用14款,「有点希望是11款……但实际上我很高兴是14款」。
4. 没有人可以照搬了——Stripe 要在内部成为创始人的平台
- Stripe 有意借鉴了多家机构的运作机制:类似 Google 的 OKR、类似 Microsoft 的销售组织、Apple 式的 DRI 文化、产品质量标准与评审机制,以及 Alan Mulally 的日常管理方法。但如今「已经没有人可以照搬了……当1名工程师能完成2年前2支工程师团队才能完成的工作时」,Stripe 必须在内部成为它一直对外提供的平台,让创始人施展能力。例子包括:Metronome 的 Scott Woody 同时负责 Metronome 和 Billing;Henri 负责大部分加密业务;Zach 负责 OpenUSD 和 Bridge;Privy 的 A.A. 负责加密工程;Lemon Squeezy 的 J.R. Farr 负责 Treasury。
- Stripe Minions 是一次性执行的智能体——「不要反复迭代,也不要进入规划模式,只要说清楚我想要什么,然后去做」——会先经过 CI/CD 和测试,再交给人类审核。从1月/2月博客发布时每周约1,200个 PR,增至上周的7,000个,约占全部 PR 的30%;Minion PR 占比已被列为 Stripe 最重要的内部指标之一。
- 组织层面的答案是「更扁平」:团队更小,工程师同时扮演工程师、PM 和设计师。团队规模不设教条式标准:一个由直线经理管理的8人团队如今「就是多做了3倍……团队做的是3件事,而不是1件事」,因此管理者与 IC 的比例可能保持不变,但产出会成倍增加。Stripe Projects 相关的高级工程师现在通过一个界面协调16个智能体;项目本身主要由1名 PM 和这名工程师在几周内完成,另有几人参与贡献。
- 瓶颈已经转移到后台:「我们合并的代码比去年多太多,所有系统都承受着压力」——包括卖家系统、定价页面,以及能否足够快地培训销售人员。因此,优化目标是从用户提出需求,到产品真正交付给用户手中的整条关键路径。
5. 把一切都做出来:「优化成本结构,就是做空自身未来的潜力」
- 很多公司把智能体效率理解为压缩 opex——裁员和削减成本。Stripe 的信念是:「我有点调皮,但把一切都做出来」,因为面对「积压多年、成堆未满足的用户需求」,「优化成本结构的最好方式是实现更多增长」。
- Jevons 效应正在发生:内部知识 AI 工具 KAI 由2人于约6个月前打造,目前每周活跃率为83%,日活跃率约60%,销售生产率提高了20%。Stripe 的结论不是「太好了,我们需要更少的销售」,而是「我们需要更多销售」。销售人员的回本周期已经改善。
- 交付压缩的证据包括:全球税务申报比美国申报更复杂,但开发时间只有后者的1/3;Spend Management 原本可能排到2年后,却被1名工程师作为一个项目接手,Gaybrick 还写下了第一条 commit。他用一个「有点过度简化」的类比解释这一点:战后消费品和玩具的生产在注塑技术成熟后爆发,因为塑料可以被均匀熔化,再注入金属模具。如今 Stripe 的代码生产也类似,有模具、模板,以及每个 repo 中的
AGENTS.md文件:「大量工作都可以交给智能体,它们会直接把事情做完。」 - 这一点仍保留一个限定:现在依然「是公司领导者施加资源配置反向压力的好时机」,因为这种压力会推动团队更高效、也更高成本地使用新工具;但 Gaybrick 预计,预算最终会恢复到「投入更多、做得更多」。George 给投资人的框架是,创始人是后期创投中的资产类别:他们负责发现下一个产品领域,因此未来收入机会本身就是再投资的理由,而不是把成本优化当成唯一选项。他的翻译是:削减成本是有限的,就像把现金返还出去,而不是继续再投资。
6. 智能体商业仍处于前寒武纪,结账页面可能消失
- 「我们讨论过 Claude Opus 4.5 式的寒武纪大爆发,但智能体商业还没有迎来那一刻」:目前还没有标准化、可重复的使用场景,因为底层原语尚未齐备。Stripe 与 Tempo 搭建了 Machine Payments Protocol:服务可以返回一个402响应,只需「说明,购买我的方式是这样」。在 George 看来,智能体通过浏览器自动化抓取结账表单,是「拟物化版本」——「未来会有原生版本」;Gaybrick 表示认同。
- Gaybrick 的非投机性、最好情况判断是:「人类不应该需要结账页面。」用户应该能在商品展示页直接说「买下来」。George 补充称,这同样可以适用于人类,Gaybrick 也表示认同;Stripe 已推出 Link Agent Wallet 和 Link CLI,使用凭证时保留人在环路中,同时接入 Link 的4亿用户。
- 最令人兴奋的领域是 B2B:Stripe Projects 让智能体无需访问服务商网站,就能采用 Vercel 作为托管服务,或采用 Browserbase。George 表示,这已经影响 a16z 的投资判断:「假设未来购物的是智能体——这是不是智能体会选择的那个?」一场演示中,智能体接管了一个 Browserbase 会话,在 ESPN.com 上进行研究,并填写 Gaybrick 的 NCAA bracket。「表现怎么样?」「我其实不知道……可能比我好。」
- 微支付经过数十年讨论后如今可能成立,是因为旧有反对理由不再成立:按文章收费会被「订阅商业模式和免费商业模式夹在中间」,「过去可能确实如此」;但面对复杂任务,智能体可以「像小蜂鸟一样在互联网上到处飞,在这里吸一点数据……在那里做一点计算」。没人愿意为每项服务都开一个每月9.99美元的账户;新的模式是一次性消费——「智能体,发现服务,你的预算是15美元,出发」——智能体可以把美元换成稳定币,或使用共享余额,而不必在每笔交易间反复处理资金转移。
7. 稳定币是全球 Schelling point;Tempo 是支付专用链
- 从基础设施极客的角度看,各国本土支付轨道在本地都非常高效:印度低于5美元的支付中约86%通过 UPI 完成,美国银行卡的占比则只有个位数;Pix 在巴西也经历了极快增长。「但全球经济需要一个 Schelling point……加密支付轨道解决了这个政治问题。」但限定条件依然存在:稳定币普及到全球通用,「可能是一个按理说应该如此、但永远可能不会如此的问题」;Stripe 正在「坚定地专注于尝试改变这一点」。
- 稳定币如今和 USD/EUR/GBP 一样,成为 Stripe Treasury 中的原生余额。Stripe 通过法币覆盖约60个国家,通过稳定币覆盖约150个国家——「在泰国由2名工程师打造一家强大的 AI 公司,和在美国一样可行」。基于稳定币构建的 Felix Pago 经过数年发展,已占美墨汇款通道5%至10%。George 将其与 Wise、Western Union 等高效法币汇款业务的建设周期作对比,后者需要更长时间。
- Tempo 的理由是:「在支付之外,没有明显理由再造一条区块链。」这条支付专用链希望将隐私作为一等原语,在交易事件期间保持吞吐稳定,并避免交易费飙升和浮动 gas 费。项目仍处于早期,正在与 DoorDash 合作,并将成为 Stripe 的默认区块链,但不是唯一区块链。
8. Token 正在变成货币,品味则通过模拟实现规模化
- George 估计 Stripe 的交易额已超过2万亿美元,但明确加上了「我认为」。Gaybrick 说:「我一直很喜欢 token 这个词……它听起来就像货币的近似物。而越来越多时候,它就是货币。」针对 Cursor、Replit 等通用 token 消费者的攻击,「非常像我们看到的试图窃取 Stripe 用户资金的行为」,因此 Stripe 认为自己有一项「使命」——这是公司内部更偏好的说法,而不是「权利」——要让 token 与美元之间的流转「像美元与欧元之间的兑换一样顺畅且安全」。
- 从劳动力角度看,许多持续运行的智能体任务会替代服务:「替我结账……过去我会用美元支付给1名人类;现在我可能只需要支付给更少的人类,或者支付给1名人类,但用的是 token。」这会带来两个 token 管理问题:一是 opex 侧,即构建任务消耗的 token;二是产品效能侧,即产品内部应该在不同模型之间如何切换。Stripe 希望同时解决两者,并将其接入 Treasury 和 Spend Management。
- George 在结尾追问:当越来越多代码由 AI 编写时,Stripe 如何维持广受赞誉的品味?Gaybrick 表示,犬儒式观点认为「品味」只是人们为未来价值辩护的方式;George 则将其进一步概括为:「其实没人真正拥有品味,我们都只是在为自己的未来价值辩护。」Gaybrick 认为,更强的断言——模型永远不会有品味——可能并不成立。
- Gaybrick 的实际答案是,产品质量之所以核心,一方面因为用户值得拥有经过精心打磨的工具,另一方面因为团队也喜欢打造用起来感觉出色的产品。要实现规模化,就要自上而下「一遍又一遍又一遍」地重复质量要求,同时亲自使用产品并模拟使用场景。Stripe 表示,可以指定一个账户,让系统生成一个看起来像它的账户;George 进一步描述,这是一个不含 PII、增长路径随机化、且「感觉像真实在线」的副本,包含合成的争议和退款,让工程经理(EM)体验用户所体验的一切,并得出结论:「下一轮 sprint 就是提升质量。」类比对象包括航空模拟,以及 NVIDIA 对芯片性能进行仿真,而不是等到晶圆厂产出后才验证。George 最后提到的目标是:「在 Stripe 内部打造下一个 Stripe。」
If you want to ship more and build faster, you have to create founder-like agency inside your company. A single engineer can do what 2 teams of engineers could do 2 years ago. Suddenly, the market opportunity landscape is much broader, and you can do more with software.
How do you guys ship so much product?
Companies have skewed in that direction, where they’ve seen this new agentic efficiency and power as a way to optimize their cost structure. Our belief—I’m being a little cheeky—is: build everything with Opus 4.5. This is a Cambrian explosion moment.
We haven’t had that in agentic commerce today, and I think there are a few reasons for that. One is that we’re merging so much more code than last year, and it’s stressing every system, so we created something called Stripe Minions. You’re not going to iterate; you’re not going into planning mode; you’re just going to say, “This is what I want. Go do it.” That’s kind of where the world is going.
You guys are, I think, over $2 trillion in volume now. What do you think is sort of the future state of how we all access models and tokens?
1. What Is Stripe Today
I want to start with just the state of Stripe.
Yes.
So, what is Stripe today? When we originally invested in it, it was a payment processor, but now I think the average AI company uses 11 different Stripe products. And at Sessions—
I believe you had 288 distinct—
Product launches. So, I want to talk about velocity also, but just start with: What is the state of Stripe today?
Internally, we think about Stripe as having inverted our value proposition from being a payments company with sort of add-ons to now being this multiproduct platform, where everything focuses on financial infrastructure—helping you grow by reducing friction and increasing agency, to be more agile with your business model, to operate in more countries, and just go faster when it comes to everything that touches revenue and cash.
Practically speaking, we went from payments to billing, subscriptions, and invoicing; Connect, if you’re a platform or marketplace; Radar for mitigating fraud—Radar now does many more things than that; Tax; and I think we don’t actually count, but somewhere in and around 25 or 30 headlining branded products. Then, of course, hundreds and thousands of features below that. But again, the framework we think about is really reducing frictions and increasing agency.
A good example: Last year, we saw a lot of users experiencing free-trial abuse for the first time, and this wasn’t really an issue pre-AI because—
Most Stripe users are software companies, so the marginal cost burden wasn’t there yet.
Yeah. They’re wasting a little compute, but it’s negligible. It’s minuscule. But now software has a cost structure, and so actually I think Cursor was the first user that we—
I was going to say it was our portfolio company where we exactly experienced it. I guess internet users can be crafty, but yes.
Yes. I think it was something like 1 in 6 users of free trials were abusive. You’re just throwing money at these users who are signing up for another account, another account, another account—maybe even doing model distillation and things like that.
We got in the bunker with them and stood up, in a weekend, a pipeline where we were able to use our foundation model, look across the entire Stripe network, use our embeddings, and then put a reasoning layer on top of it. You could say, “We think this is a free-trial abuser because…” and point to those signals.
I think it’s today—I think ElevenLabs recently told us that they’re blocking 2,000 free-trial abusers per day using Stripe signals.
Incredible. So, you just think about how much money you’d be burning—or, well, how much revenue you wouldn’t be creating—if you weren’t giving these trials. You know, false positives and the false—
2. Stripe Minions: From 1,200 to 7,000 PRs a Week
Yeah, exactly. Exactly. And then, on the increasing-agency side, it’s still just so hard to go global.
You think about having to register, calculate, and remit taxes in so many geographies—
This new crop of AI companies are digital-goods companies, and they want to go global very fast. So, I guess Higgsfield is a good example. They’re using this product, Stripe Managed Payments. In their home markets—the U.S., let’s say, and if they have an entity in Europe—they’re the seller of record. But in long-tail markets, the Kazakhstans and all over APAC, where they haven’t set up entities, Stripe stands in as the actual merchant of record. We handle all tax calculation, tax remittance, and everything like that. This just lets them cover 100-plus geographies compliantly.
Yeah, that’s amazing. And if you go back to the fraud example, if you identify abusive actors, there’s actually a network effect in that business, right? Which is super powerful. Obviously, we appreciate it as investors, and many of the companies have benefited from it.
If you look at the product set today, obviously the origin of Stripe was startups, and so you can very easily stand up payments and sell stuff online. Famously, part of the beauty of Stripe’s growth and business model is that you captured companies like DoorDash and Instacart when they were in YC—
And then you grew with them along the way.
How do you think about the product strategy as it relates to serving startups versus serving large enterprises?
I think it was actually Colin at Clerk who summarized our strategy nicely on X recently. He said Stripe’s strategy is unabashed—I’m paraphrasing his words—but it’s: “Win all the startups and then win them again.”
Yes.
To some extent, that’s just a good business model because startups are very ambitious. They typically grow into the biggest companies of tomorrow. They’re sort of canaries for what the next opportunity is.
Another subtle reason to win all the startups and win them again is that they actually have the highest standards of all our customers. I looked recently at the CSAT for Stripe’s reporting. For our very, very large enterprise users, it’s, “Your reporting is great. We love the data. It’s way better than anything we get from any of our other—”
Because they’re accustomed to the incumbents.
Yeah, exactly. And then you look at it for startups, and it’s, “Your reporting is garbage. You’ve got to fix this. This is driving me crazy.”
There’s a persistent sense that startups just make us better by being the fastest, by being the most demanding, and so on. But, of course, once we start working with startups, we want to work with them forever. This pulls us upmarket and forces us to become surprisingly great. That’s the standard we try to hold ourselves to for enterprises as well as for startups.
We’re now working with—I don’t know what the exact percentage is today, but it’s not quite half, although we’re getting there—Fortune 500 companies. We work, of course, with the Amazons of the world, Microsofts, and others. At the enterprise level, it’s a different sales cycle and a different post-sale activation motion. A lot more is required after you’ve already signed the contract, whereas startups sort of go live like that.
Fundamentally, it’s the same thing: You stay close to the user, hear their needs, show that you’re provably better when it comes to the metrics they care about, and, yeah, so it’s really both at this stage.
Yeah. Win them and then win them again. I love that. That’s a great dynamic.
3. The AI Cohort Explosion: 50% More Signups & Software Creation Booming
I want to shift gears. I think you guys publicly said that first-half signups grew 50%—
Year over year.
—and that the median 2026 cohort is generating 50% more revenue than the comparable 2025 cohort. The 2025 cohort was generating 70% more revenue than the comparable 2024 cohort. So, what has changed?
Well, I think 2 things. One is that AI is giving rise to so much opportunity for new business creation. There are just things you couldn’t do before that you can do now. You couldn’t build Suno 4 years ago, or you could maybe build a much worse one 4 years ago. You couldn’t build Higgsfield 4 years ago. There are just new things that you can do.
Suddenly, the market opportunity landscape is much broader, and you can do more with software. On the other side, the cost of doing more software has decreased a lot because you need many fewer engineers to build the things that you want to build because of agentic coding.
We’re just seeing this explosion in new software creation. When you look at the year-over-year increase in usage of Stripe Billing, it’s actually a lot higher than usage of Stripe overall because it disproportionately skews toward people creating software companies.
Yeah. Yeah. Oh, that’s fantastic. That’s awesome to hear.
I want to shift now to some of the products that we talked about. You have this proliferation of new products to serve all the needs of companies online. The high-level question is: How do you do that? How do you guys ship so much product?
Yeah. Well, speed has always been near the top. Maybe relentless focus on the user is probably the top part.
Yeah. Exactly.
But speed is right up there. It’s interesting: I think a lot about institutional progress. We study the great companies that have come before us and are now beside us. Amazon is still around, of course, but you look at Stripe and say, okay, we have an adapted version of how we set goals. That’s quite similar to Google’s OKRs.
Our sales team is organized pretty similarly to Microsoft’s. We have a DRI culture similar to Apple’s. We have a product-quality standard, and how we do our product reviews is similar to theirs. A lot of the day-to-day mechanisms that I use to run the business, I’ve basically stolen from Alan Mulally, the former CEO of Ford and Boeing Commercial Airplanes.
We study these companies and try to bring it all into Stripe. We think about how we create an enduring institution that can outlast any of us because it’s a great container for entrepreneurship. Then you reach today, and there’s just no one to copy. What do you do when a single engineer can do what 2 teams of engineers could do 2 years ago? The theory of the case right now is that Stripe needs to become, more than it ever has been before, a platform for founders internally. It’s always been a platform for founders externally.
Yeah, of course—the customers.
Exactly. And founders have always done incredibly well at Stripe. We actually acquired an adjacent company, Metronome, last year, and Scott Woody, the CEO, is thriving at Stripe. He’s leading all of Metronome and billing at this point.
We acquired Privy, which is a wallet infrastructure company, and Bridge over the last couple of years. Henri is now leading most of crypto. Zach is leading OpenUSD and Bridge, of course. A.A. from Privy is leading a lot of engineering for crypto. J.R. Farr from Lemon Squeezy is leading Stripe Treasury at this point.
Founders have always done very well at Stripe. But now you have this very interesting moment where senior engineers are just so powerful.
Yes.
There are a few different ways our organization could be shaped going forward. It could be that we just have many fewer engineers, and maybe that’s what the world would look like. I think a lot of companies have skewed in that direction, where they’ve seen this new agentic efficiency and power as a way to optimize their cost structure. You saw some layoffs. You saw companies shrinking OpEx. Our belief is that it’s just an opportunity to—I’m being a little cheeky—build everything.
Yes.
The best way to optimize your cost structure is to grow more. We have reams of user asks going back many years that are unmet, and so we just want to get through them all faster. While we have more and more productivity from those senior engineers, if you want to ship more and build faster, you have to create founder-like agency inside your company.
The main things that are holding back our progress today are actually back-office things. We are merging so much more code than last year, and it is stressing every system. How do we get things into our seller systems? How do we get things onto our pricing page? How do we bring things to market when we can’t train sellers on them fast enough?
We are really trying at this stage to optimize every single phase of what we think of as the critical path in Stripe, from the ideas behind product development and the user asks all the way to products being in users’ hands. To your question of how you go faster, it’s really 2 things. One is: how do you create that agency for everyone at Stripe? How do you let everyone at Stripe be an auteur, like a founder—a creative—and not have them held back by the morass of centralized processes and overhead?
Yeah. Exactly.
Exactly. On the other side, then, it’s how do you, with your developer productivity team, just make the tools better and better and better?
We created something called Stripe Minions, which we’ve blogged about a little bit. Of course, we’ve got tons of developer tooling to help users iterate with agents, but Minions are one of our most important internal metrics: how many PRs, and what percentage of our PRs, are created by Minions?
The reason for that is that Minions are one-shot. You give it a prompt, and it’s going to build it. Then it’s going to go through CI/CD and all of the testing, and you’re going to review it. You’re not going to iterate or go into planning mode. You’re just going to say, “This is what I want. Go do it.”
We think that’s where the world is going. It’s the one-shot, or the glorified REPL loop, where you’re just letting the agent be super, super powerful. We blogged about Minions in January or February, and they were doing 1,200 PRs per week. Last week, I think 7,000 PRs came from Minions.
Wow.
About 30% of our PRs that week came from Minions. That developer tooling, combined with getting internal processes out of the way and making the tools amazing, is how we’re going to go fast.
That’s amazing. In terms of empowering senior engineers who are now more powerful than ever, have you made any dramatic changes to how you organize the company internally? The Minions example is incredible, and I assume the 30% is going to go to a very high percentage within a year or something.
Some of the things that we’ve heard from other companies are taking your most powerful engineers and putting them into business units or closer to the customers. But then you have coordination problems that come from that. How have you approached that empowerment?
Engineers have always been some of the most important product leaders at Stripe. We build for engineers and technical users. Of course, we build for many personas at this point, but engineers have always been the hero ICP for Stripe.
Because of that, engineers have always been some combination of engineer, PM, and designer. I think we’re just leaning even more into that. We’re building tools and platforms so that engineers can do a lot of the front-end development and design themselves. Probably the shortest answer to your question is: flatter.
Yeah, flatter. Smaller, I assume—smaller teams?
Smaller teams, flatter. You had a lot of layers that were orchestrating work, and very valuably so in most cases. But you just don’t need that anymore.
I was talking to one of our most senior engineers recently—in fact, the guy who built Stripe Projects. Stripe Projects was basically built by a PM and one very senior engineer in a few weeks, with a couple of other engineers who jumped in as well, so I want to give them due credit. But most of the PRs came from one guy.
He’s got Alexander[?] now. He’s just got a screen. He’s orchestrating 16 agents, and he’s going a whole lot faster.
Yeah, that’s amazing. Do you have a standard team size for projects like this? Is it that there’s no social dynamic, so maybe 1 doesn’t work, and 4 is probably the maximum size? We’ve heard everything in between. Do you have a view on it?
Not really. We still have—well, you kind of want wider teams, right? That means fewer layers of management. But you also believe you can have fewer people because each individual is more empowered these days. I think those forces are offsetting to some extent today.
In fact, it’s more like, if you have a line-managed team of 8 people, they’re just doing 3× more. You might have the same manager-to-IC ratio, but the team is doing 3 things rather than 1.
Yeah, exactly. Yeah, it makes total sense. One of the things that you and I have talked about, and you touched on it, but I’d like to expand on it a little more, is this idea that you can do all these new things with AI. Where do you direct the efforts?
You guys have very clearly directed the efforts toward the front-facing stuff: building new products for customers. Lots of what is discussed in the market is back-end-facing stuff, optimizing your cost structure. As you said, everything is a Markdown file: let’s map out everything that everyone does in the organization and optimize it to death. Talk about your philosophy for why you want to go for the former and not the latter.
4. Build Everything: Going Long vs Going Short on Your Future
I think there was an early narrative—and it still lingers, for sure, and there’s some truth to it—of just, we have agents now, so we should be more efficient. We should be able to do more with less. The main thing I actually think about on this front is making our people more productive.
We have a tool internally called KAI, which is our knowledge AI tool. We built it maybe 6 months ago. 2 people built it. Now it has 83% weekly actives and about 60% daily actives at Stripe.
Seller productivity has increased by 20%. But we're not saying, “Wow, we need fewer sellers.” We're saying, “So, we need a lot more sellers.” [laughter] The idea is that the payback on our sellers just got way better. We should have way more of them.
Exactly. On the flip side, operational teams are just feeling much more productive. Their day-to-day life is more enjoyable. They're using better tools and having to do less manual work. It's almost trite in tech circles now, but it's Jevons' paradox: as an asset becomes more productive, you don't want less; you want more.
Exactly. It is very much the case for us when it comes to engineers. Our engineers are just magnificently more productive. I mentioned earlier making Stripe a platform for founders—an internal platform for founders—going forward. You could say, “Well, because engineers are so productive, there'll just be fewer engineers in the world,” and I really don't believe that. That's not what we're seeing at all.
You see that much more software creation. There was a narrative 9 months ago about SaaS platforms and how vertical platforms were all going to struggle. Our new SaaS platform cohort is 103% larger in 2026 than it was in 2025. So people are just saying, “There are so many spaces that need a SaaS platform. I'm building it faster and faster and faster.”
I think there will be more software engineers in the world. We will need fewer of them to do the things we're already doing. And so Stripe then becomes, for new grads and early-career engineers, more of an incubator: come in, figure out a high-agency project that can help our users. Let's get out of your way. Let's create the paved paths. Let's make it easy for you to go faster, and we should be able to just build more and more and more—not just random things, but adjacencies that sort of compound what we're doing today.
Spend management is adjacent to Treasury, and that might have been roadmapped for 2 years from now. Instead, 1 engineer has picked it up as a project, and they're just building it themselves. Actually, I wrote the first commit for it, but now they're running with it.
Two more capable hands now.
Exactly. More capable hands. So, yeah, we believe the big opportunity—and the one that we're leaning into—is doing more with what we have and, over time, doing more with more.
Yeah, I totally agree with that. I wrote a piece recently about founders being the asset class—the representation of our market of late-stage venture, which you guys are probably at the forefront of. Founders are the asset class because founders are going to be the ones who enable the companies to find the next product areas.
And so this idea that you have to make trade-offs today around, do we try to build new products for revenue or cut costs? I think for companies like Stripe, that are run by you guys, there's probably always going to be that next opportunity to create additional revenue opportunities, find the new customer products that are a big hit, and that is never going to go away. You're always going to have the chance to build more.
Yes, absolutely. I do think it's a good moment for company leaders to create some resourcing back pressure, because that back pressure drives more efficient and more expensive use of new tools. [snorts] But I also imagine that in the years ahead, we'll have a budgeting process that looks not that dissimilar from what it's been in the past: we're doing so much with what we have; we can do even more if we continue to expand resourcing.
But in this moment, I think it is a good time to say, “Well, let's really do a lot with what we have today,” because you still see increases in productivity from what you already have. Beyond that, from a users-first standpoint, there's so much more they want from us.
We've heard from a lot of users that, for Stripe Tax, they want global filing. It took us a long time to get to US filing on Stripe Tax, meaning that every state in the US will just automatically file for you. It's a hard problem because you are dealing with so many different jurisdictions that accept filing in different ways. [snorts] It took us a long time to get there.
Global filing was the next task. We just don't want to have to think about this in any market. We built that in about a third of the time that it took us to get to US filing.
Wow. With much greater complexity.
Exactly. Much greater complexity. It's just an infinite list of asks and opportunities like that. If you're just relentlessly focused on users, you're going to focus on that.
We launched recently a product called Stripe Treasury. It's an interesting moment in fintech right now because I think there is an unbundling of what banking means. Stripe is not a bank, does not aspire to be a bank, but does aspire to provide your banking portal and to help you with global money movement. This is something we've been asked for a very long time.
We built Stripe Treasury to allow our users to hold funds in dozens of currencies across many countries and just build what the banking portal should be able to do. We've focused on bringing this experience to users extremely quickly. What we're finding in every case is that the timelines we thought were the best doable 2 years ago are now being compressed again and again and again.
And it's because the direction we're finding, from an agent engineering standpoint, is kind of akin to injection molding. It's a bit reductionist. When you look at the growth in consumer packaged goods and toys and things like that, a lot of it just exploded postwar, and it was because we got really good in the '40s at melting plastic. It's the injection-molding screw that sort of melts plastic very evenly and injects it into a metal casting, and that's sort of how we're doing code production at this point.
We're creating the molds and templates, and you mentioned Markdown files—those are extremely important. You need your AGENTS.md files in every repo. As long as you create those patterns and understand the pattern of how you integrate with financial institutions, you can hand off so much of the work to agents, and they just get it done.
All of the time you end up spending is on the back end, at code review. But even then, agents are doing code review even better than humans did before. So, again, compressing timelines feels like a much bigger opportunity than optimizing cost structure.
Yeah, I think you may be the first person to compare modern AI-based software engineering to injection molding. So this is great. We're covering new ground. I've actually been to an injection-molding plant before.
It's pretty amazing.
It's pretty amazing, especially when you think about the fact that it was probably 70 years ago that it was created.
James Watson Hendry, I think—the guy from Pennsylvania.
Yeah, there you go. That's great. If you, as an investor in Stripe—and a large investor in Stripe—another way that I think about what you just described is the opportunity to optimize cost is finite, right? You said long versus short. I really like that.
Yeah. Yeah. No, optimizing cost structure is going short on your own future potential, and just building faster and building more is going long on your future potential.
It's like the capital-allocation equivalent of returning cash.
Yes, as opposed to reinvesting cash.
5. Agentic Commerce: The Missing Primitives
Yeah. Yeah. I got it. Okay. I want to shift over to a new topic, which you guys are on the cutting edge of and which gets a lot of play, but almost in a nebula sense. I'd like to go a little bit deeper on it with you, which is agents engaging in commerce on the internet.
What is the state of where we are today? What are the bottlenecks, and how do you view a framework for how that could be done in the future?
Yeah. So we are—we talked about the Claude Opus 4.5 Cambrian explosion moment. We haven't had that in commerce today. There aren't a ton of canonical use cases that you just see repeated over and over and over again. I think there are a few reasons for that.
One is we're missing primitives.
Right?
That's something we're very focused on. We created, with Tempo, the Machine Payments Protocol so that services can indicate what needs to be paid and how you can pay for it. If you're selling an image or a piece of content online, you can request it and get a 402 response back. It just says, “Here's how you buy me.”
That's a primitive. We think machines will want to buy from other machines. There's really a question of what checkout should look like for agents, and it's still an open question. Browser automation is getting better, so maybe agents should just be crawling through checkout forms and filling them out. I think there are still a lot of open questions.
Yeah, that's the skeuomorphic version.
There’s going to be a native version. Yeah.
Yeah, I think that’s right. So we’re sort of at the missing-primitives phase, and we’re figuring that out. Then there’s a sociological phase: in what ways will agentic commerce be better than non-agentic commerce?
I think there are some very nonspeculative ways in which it’ll be better. Checkout pages shouldn’t exist for humans. With Stripe Link and Shop Pay, it’s very easy to get through a checkout page these days, but should you even need to go to one? Or should you just be able to say, “Buy it,” on a product display page? I think so. I think checkout pages will go away, at least in the best-case scenario. That’s a sort of nonspeculative but maybe less ambitious form of agent commerce.
I actually think that’s interesting because they will go away for human users, too. This isn’t just for agents. You have 400 million users on Stripe Link, and Shop Pay probably has a comparably large number. You can use those and automate the whole process.
Exactly. We launched the Link Agent Wallet recently, so there’s now a Link CLI. An agent can sweep up Link credentials and use them, with humans in the loop to say how they can use them.
One of the places we’re most excited about agentic commerce is B2B. We launched Stripe Projects. Stripe Projects is a way to scaffold apps—that’s the narrow definition of it—but the most exciting thing about Stripe Projects is that it’s a way to provision B2B services agentically.
Yep.
An agent can go adopt Vercel for hosting, and it can do that without you needing to go to Vercel.com and do anything.
This has actually informed our investment thesis in a few investments recently that are developer tools. We say, “Okay, assume that agents are going to be the shoppers in the future. Is this the one that agents will want to pick?”
Yes, exactly. That’s a very good framework. An agent can go adopt Browserbase. We had a really great demo at Stripe a while back where we used Browserbase Live, via an agent, to fill out an NCAA bracket.
That’s cool. That’s great.
I thought it was awesome because I have 3 brothers, and we all love sports, but I’m always too busy to engage in the family pools. It was so cool to watch the agent pick up a Browserbase session, fire up ESPN.com, do a bit of research, and fill it out.
How did it do?
I don’t actually know. I don’t think we ever ran the evals on it.
I suspect it was probably as good as a human.
It’s probably better. Exactly. Probably better.
I do think agents adopting B2B or B2C services that are more utilitarian will be very popular. Today, again, as a primitive, we’re just trying to make it easier for agents to adopt services. But I do think the sociology will continue to evolve. The long-running tasks are not—I don’t know that we’ve figured out exactly how to do them on the consumer side.
Yeah, it’s not there yet. I was trying the other day—I was using Claude Code to compose a song for my niece’s birthday.
Oh.
Yeah, it was pretty cool. In the past, without AI, I definitely wouldn’t have done that.
With AI, I might do that. You might do it with Higgsfield as well—we were talking about them earlier.
But I’m not sure that I want to go create a $10.99- or $9.99-a-month account with them. I just want that sort of micro-consumption for that.
Along with the actual commerce primitives, I think there are these micro-consumption APIs that need to start to exist. Browserbase, which we were talking about, is sort of leaning into it.
I’m very bullish on all these services standing up—not necessarily anonymous, but ephemeral or one-time consumption. I think that will really unlock agent commerce, too, because then you won’t have to say, “Well, I need to pay these guys 10 bucks a month and these guys 10 bucks a month,” and create all these accounts and all this stuff. Just use the service and pay.
Agent, do this. Discover the services. Your budget is $15. Go.
My 10-year-old has been creating rap songs, so I’m very familiar with all of these services. By the way, the quality is actually pretty good, and he posts them on Spotify.
But the execution may not be quite as good. The lyrics are very good from AI, and the music itself is pretty good. So, yeah, I would welcome that.
The critical thing—or one of the critical things that you just said—is this concept of micropayments or microtransactions. This has been talked about probably since the advent of the internet as an opportunity. Why do you think it could work now?
Agents really increase human agency. I guess that almost sounds redundant, but talking about these applications—composing a song for your niece, filling out your NCAA bracket, whatever else—it’s really hard to do without agency. They take a lot of time. You’re creating all these different accounts.
I’m very bullish on services leaning into saying, “You can use me ephemerally. You can use me in a very lightweight way.” To make that work, you’re going to need to support microtransactions.
I think the case against microtransactions has always been, “Well, you’re trying to consume content, and if you’re trying to sell an article, you’re always going to be squeezed between the subscriber business model and the free business model.”
Yeah. You want to capture the excess as part of the subscriber model. Exactly. That’s the business model. Or you do it with ads, and one or the other is better than what you’re doing.
I think that was probably true in the past. But as you give agents more complex tasks, you want them to be these little hummingbirds going around the internet, slurping up a little data here, pulling it over there, using some very transient, ephemeral storage, and doing a little compute over here.
You don’t want the individual human to have to think about what they’re using. You want to know that these services are secure, right? But you don’t want them to create accounts everywhere. So I think microtransactions will just be necessary for that economy to exist—the agentic economy.
On the flip side, they’re now eminently possible because of stablecoins.
Stablecoins today are relatively inorganic. If you’re a human, you have to jump through a bunch of hoops. But if you just give an agent a budget, it can easily take dollars, move them into stablecoins, or just use a shared stored balance and find a way to check out. It doesn’t mind the sort of back-and-forth with stablecoins.
Yeah, I totally agree with that. We’ve seen that transition happen in a lot of software business models today. The predominant business model was selling subscriptions and seats, and we’ve now seen a shift to consumption. There are probably analogies where consumers are better off because they can get access to more stuff, and businesses can access more people whom they otherwise couldn’t reach with a subscription service. My hope is that does come into play.
6. Stablecoins & the Global Money Movement Platform
On the topic of stablecoins, we’ve covered how you guys build software and how you move so fast in an AI development world. We’ve talked about commerce and agentic commerce. Talk about stablecoins. Like you said, there’s a lot of friction in the process today, but what’s the state of the stablecoin market, and what do you see the opportunity being over the next 5 years?
I’m an infrastructure nerd, so I always go there first. Stablecoins are just a better platform for moving money than anything that exists otherwise.
We strongly agree.
Yeah. They’re better for a couple of reasons. There are certain countries that have rolled out really good payment systems. Most of them are nationalized: UPI in India, for example.
When you look at these economies, the percentage of sub-$5 payments in India that are on UPI, I believe, is something like 86%, whereas in the US, card payments are in the single digits. There are some good, cheap, fast payment schemes that are nationalized. Pix is another one in Brazil, which has grown meteorically.
But you need a Schelling point for the global economy, right? What can we all agree on? That’s where crypto rails solve this political problem: this platform works everywhere.
If we all used it, the global financial system would work better. It would be faster, cheaper, and so on. If we all went to sleep tonight and woke up tomorrow and held stablecoins, it would just be a better global—
Less friction and lower costs in the economy.
Exactly. Now, that might be one of those “should work this way, may never work this way” problems, and so we are resolutely focused on trying to change that.
We talked earlier about Stripe Treasury, and we decided to make stablecoins native to Stripe Treasury. So you can just hold a balance in stablecoins, just like you hold a balance in USD, EUR, GBP, or anything like that. We believe that the opportunity for stablecoins is faster money movement, cheaper money movement, and more global money movement.
Right now, you can be a Stripe user in—I'm not sure what the exact number is, but around 60 countries—in fiat. But you can be a Stripe user in stablecoins in, I think, about 150 countries. So just bringing more people into the online economy in a way that allows them to transact with AI companies, as the software economy gets more and more global, is increasingly valuable.
You can build a powerful AI company with 2 engineers in Thailand just as well as you can do it in the US or Brazil. For stablecoins, for us, it is higher performance and more global.
Yeah, and I like the position that you guys are in as it relates to stablecoins, just because, again, talk about meeting the market where it is: People don't want to cut over wholesale and just drop all their fiat and move over to stablecoins. So I think the relationships that you have and the comprehensive offering that you have allow adoption to happen at the pace that enterprises or startups want to adopt.
Yeah, yeah. And all of this works when you really lean into it. Felix Pago—I think Felix is what they're called now—started as a remittance company between the US and Mexico and now has other corridors as well. They built it on stablecoins, and a few years in, they're now between 5% and 10% of remittances along that corridor, which is the largest remittance corridor in the world.
It's amazing. And so, you think about how long it takes companies to move fiat money efficiently—how long it took initially for the Wises of the world to do this, let alone Western Union before it. These are great companies, but to get to 5% to 10% in just a few years is amazing. That's remarkable. I'd love to have you talk a little bit about Tempo. Obviously, it's a big, important project that you guys are at the center of. Talk about where that is and what the aspirations for it are.
Yeah, I think I'll just play the infrastructure nerd card again for a second. There are great blockchains, and I think there was no obvious need for another blockchain outside of payments, right? But there are a whole lot of reasons why a payments-specific blockchain can work really well.
Privacy, for one, because blockchains are generally public and you sort of reverse-engineer what's happening on blockchains. I want to make sure that privacy is a first-class primitive, while making sure that throughput is never sacrificed. Blockchains are disproportionately used for trading, and so when you see massive trading events happen, you'll typically see performance degrade a lot.
Finding a way to create a blockchain where the transaction fee is never going to spike is important.
That capability is important. Yeah.
Exactly. And they have floating gas fees. The project there is just saying, how do we move money as efficiently, consistently, and cheaply as possible? We're still in the early stages of building it out, but we're getting a lot of great traction, working with companies like DoorDash, making it the default—but not the only—blockchain in Stripe, and feeling very optimistic about it.
That's great. That's awesome. The last topic I would love to cover with you is the token economy. It sounds a little buzzwordy, but you guys are, I think, over 2 trillion in volume now. And I think you and I would probably share the belief that the token economy is going to be one of the biggest things we've ever seen.
What do you think is the state of play for accessing tokens? Obviously, there's a lot of work that gets done in first-party applications today. But what do you think is the future state of how we all access models and tokens?
I've always loved the word token. The reason is that it just sounds like an approximation of money. Increasingly, that's just what it is, right? We talked earlier about free-trial abuse, multi-accounting, and the attacks that we're seeing against users whose platforms are general-purpose token consumers.
You can do just about anything with tokens on Cursor, right? You can do just about anything with tokens on Replit. So the attacks against these users are very sophisticated. They're very reminiscent of what we see in terms of people trying to steal money from Stripe users.
Yeah.
And so there's this blurring that you see between tokens and dollars. For us, we think about wanting to help users move money, store money, and send money safely, compliantly, and so on. We now feel this mandate to do the same thing with tokens, right? To protect our users in the same way.
Over time, I think this is only going to happen more. We talk about some of these long-running agentic tasks, and a lot of them will replace services. You'll just be able to say, “Close my books.” I used to pay a human—or many humans—in dollars for that. Now I pay fewer humans or a human in tokens because they're augmented by agents.
We just want to make sure that moving between tokens and dollars is as seamless and safe as moving between dollars and euros. We're at the beginning of this journey, but we think it's going to be a big part of the future of Stripe.
Yeah, that's awesome. It's super exciting. Personally speaking, I think you guys have a real right to play a role there because of the relationship that you have with so many companies, from inception all the way through to enterprise, as you said.
Yeah. It's funny—we're always a little bit careful internally about talking about rights, and so we talk about mandates.
That's good. Yeah. We feel—
Win and then win it again. Exactly. We have a mandate to help users with this, and so that's why we're really leaning into it.
We're also focusing even more on spend management for our customers. They're using Stripe Treasury and thinking a lot about how much they're spending and how to reduce their spending, how their spending ties through to revenue, and a lot of token usage is actually in-product.
Yeah.
So you see 2 different types of token usage. One is to build things, and this is the opex-management side of token management. Then there's the product-efficacy side of token management: How good is my token-oriented or token-driven product? How should I shift between different models to make it the most effective?
We're really thinking about how we help users on both of these—
Yeah, for sure. Certainly, in the latter, this position as an orchestration layer that helps you effectively get the most out of tokens, while also maintaining some form of control, has never been more top of mind than it is right now.
Yes, absolutely. And it's interesting because there's a hypothesis that software will be severely commoditized. It's plausible. I think we're at the—let's say we're either in the singularity or creeping toward the singularity—and it's very hard to estimate what a future looks like where models are recursively generating models, and so on and so on.
But we are seeing the exact opposite right now, where software creation is exploding.
Yes.
Customers are monetizing faster than ever. We talked about our 2026 cohort being 50% larger and growing faster than our 2025 cohort, that one being 70% larger and growing faster than the 2024 cohort. So more software is being created, and it's being adopted faster than ever before.
More Stripe products are being adopted than ever before. ElevenLabs is using 14 Stripe products. I sort of wish it were 11 in a way, but actually, I'm glad it's 14.
Just make it 22. You got really close with Mati, and he does everything in denominations of 11, so you have to shoot for 22.
Exactly. And there's a lot more to software than just building, right? There's the expertise about how abstractions should thread through your entire business, and you have to keep those up to date. You have turnover inside your company, and so you build a system internally, then it starts to degrade. That person leaves the company, and the expertise goes away.
We think about how we can help companies across their entire revenue stack: manage cash, manage revenue, close the books faster, grow faster, and globalize faster. That opportunity, I think, is just larger than it ever was before.
Couldn't agree more.
7. Scaling Taste at Stripe
So, in closing, I wanted to get your take. I don't want to get too deep into the role of humans versus AI, but one of the things that Stripe has always been universally recognized and appreciated for, I think, is your taste, right? It sounds funny because you're an infrastructure company, but I think it's generally agreed upon. How do you continue to uphold that at such a large scale, with so much of the work you're doing now being done by AI?
[Laughter.]
Mhm.
Yeah. It's interesting how much the word “taste” is being used right now. [Laughter.] It's sort of hard sometimes. The cynical view is that it's how we're all justifying our future value.
Yeah, that no one actually has taste and that we're all reproducing machines of things that we had previously perceived.
Yes, yes. Suddenly my fingers are no longer as useful, but this nebulous notion of taste—models will never have taste, and so on—is probably just not true.
Yeah, I agree with you on that.
But to get more directly to your question, product quality is really, really core to our culture and our identity. And that's for a few reasons. One is that we want users to have amazing tools that are carefully crafted, that can make them go faster and make them enjoy the journey of building a company that much more. It's not an easy journey, but if you have tools that are surprisingly great, it feels that much better. So it's a big user lens.
Another dimension is that it's just more fun. You look at what you created with your team and you're like, “Wow, that looks amazing,” versus, “You janked this thing together and it barely works.” It just isn't as fun to go through the slog—the long nights, the long weekends, and so on—to build it.
And I think the single thing I would say for scaling taste—well, actually, 2 things. One is that I think it has to be top-down. You just have to say it over and over and over again. It's like the company strategy: when startups win, we win. It's like, talk about quality and talk about it again. And then the other thing is just use the product.
Yes.
And make it easy to use the product. In aviation, simulation is so important. You can't just say, “I hope the jet works.” You have to prove to yourself that it does before you ever fly it. Or NVIDIA really hit escape velocity when it went from needing to wait for the fab to give them chips to try to actually simulating chip performance. And so we actually invest a lot in simulating the usage of products.
And so you can point to an account and say, “Give me something that looks like that.”
Yeah, but make it completely PII-free. Randomize the growth rates so I don't actually know how big they are, but just give me the day-to-day problems that they face—the ups and downs of their business, the seasonality. Give me a sense of that, and then make it feel live. Make it feel like I'm receiving disputes from customers and refunds are happening. Of course, these aren't real disputes or real refunds, but just give me the experience that user is having so I can really live in it and use that with my team.
And so I think you have the mandate to use the product. We really ask our EMs to lead this because they're the ones who control the resources, and they're the ones who can say, “Wow, this does not feel good. It needs to get fixed, so our next sprint is going to be elevating quality.”
On the other side, it's how you give people the tools to do it more easily. So scaling taste for us is culture, it is the rituals, and it is the daily rhythms of just using the products and stepping into these issues.
That's awesome. That's so great. Will, this is so fun to talk to you about all these topics—obviously, covering how you're building so much product inside Stripe, which is super unique and right on the cutting edge, I think, and the future of how we engage in agentic commerce and stablecoins.
One of the things that I think you guys have said is, “How do we ensure that we build the next Stripe inside of Stripe?” I love that. In closing, I really appreciate the time.
Yeah. Thank you. Great to be here.