Stripe Sessions 2026 观察:Stripe 把加密圈五年没干成的事,一晚上干完了

marsbitPublicado em 2026-04-30Última atualização em 2026-04-30

撰文:小饼,深潮 TechFlow

4 月 29 日,旧金山 Moscone West,Stripe Sessions 2026 开幕。

发布会进行到下半场,灯光暗了下来。大屏幕上出现一个让全场举起手机的画面,Sam Altman,穿着标志性的米色毛衣,坐在一把浅色沙发上,对面是 Stripe 的总裁 John Collison。

熟悉这个画面的人会心一笑:这是 Sam 第二次坐进 Stripe Sessions 的沙发。 上一次是 2023 年 5 月,ChatGPT 刚火起来不到半年,那场对话里 Sam 还在跟 John 争辩"AI 到底有没有 existential risk"。

三年过去了,物是人非。

Sam 的 OpenAI 已经成了估值 5000 亿美元、周活 9 亿人的庞然大物;Stripe 的估值在过去一年翻了 70%,到 1590 亿美元;而两家公司在 2025 年 9 月共同发布的 Agentic Commerce Protocol(ACP),已经让 ChatGPT 用户可以在对话框里直接下单 Etsy 商品、Shopify 商品。

Sam 这次的出现,本身就是一个信号,OpenAI 的 9 亿周活用户的商业化通道,押注在了 Stripe 的管道上。

而他坐下的这把沙发对面,John 身后的大屏幕上,此前还挂着这次发布会的核心数字:288

这是 Stripe 这一届 Sessions 一口气宣布的新产品和新功能数量。台下坐了 9000 多人,是去年的 1.32 倍。Patrick Collison 在开场时半开玩笑地说,这还没算"你们偷偷带进来的那些 agent"。

而对加密行业来说,这 288 项更新里至少有 60 项直接动到了“基本地盘”,台上坐着背书的,是 Sam Altman。

把 288 项更新拍扁,其实只有三件事

如果你点开 Stripe 官方那篇《Everything we announced at Sessions 2026》,会被密密麻麻的产品名淹没,Checkout studio、Reader T600、Authorization Boost、Smart Disputes、Workflows、Custom objects、Stripe Console......每一个都配着一个"preview""GA""private preview"的状态标签,像极了某个 SaaS 公司的 Jira 看板。

但作为一个拥有 Claude MAX 账号的编辑,我来告诉你:所有这些产品,本质上只在回答三个问题。

第一个问题:钱怎么跨境?,答案叫稳定币。

第二个问题:买东西的人不是人,是 AI agent,怎么收钱?,答案叫 Agentic Commerce Suite + Machine Payments Protocol。

第三个问题:商家想把 Stripe 当银行用,怎么办?,答案叫 Treasury 全栈打开。

把这三个问题串起来看,你会发现 Stripe 在做一件几乎没人在公开讨论的事:它在用"支付公司"的合规身份和分发能力,把过去五年加密行业反复尝试但始终没真正进入主流的几样东西,稳定币、agent 经济、链上结算,一次性塞进了 Visa、Mastercard、PayPal 已经铺好的水管里。

这件事的颠覆性在于:它不需要用户知道自己在用区块链。

稳定币这一仗,Stripe 或许已经赢了

先看几个让人坐不住的数据。

John Collison 在 2025 年 Sessions 上展示过一张图:Bridge(Stripe 收购的稳定币基础设施公司)头 24 个月的支付量增长曲线,比 Stripe 自己当年同期还要陡。 这是 Stripe 历史上罕见的"被自己投资标的打脸"的时刻,一个起步不到两年的稳定币管道,增速碾压了一个统治了网络支付十年的 Stripe。

到了 2026 年,这条曲线还没拐头。

而这次 Sessions,Stripe 围绕稳定币的更新可以说是全栈级的:

  • Treasury 稳定币账户扩展到 41 个新市场,加上之前的 100+,意味着 150 多个国家的企业都能用 Stripe 储存稳定币、做跨境收付。Patrick 在 X 上说:"这是我们做过的最大的一次国际化发布。"
  • Stripe Issuing 推出稳定币背书的银行卡,覆盖 30 个国家,你的稳定币余额可以直接刷卡消费。
  • Bridge 支持 USDG、CASH、USDSui 等多种稳定币,跨链覆盖 Tempo、Plasma、Celo、Sui。
  • Privy 让稳定币余额可以直接接入 Morpho 的 DeFi 收益,这意味着用户的"活期账户"理论上可以躺着吃 DeFi 收益。
  • Crypto Onramp 支持 headless 集成、最高 500 美元免完整 KYC 模式,这是给加密 App 开发者的彩蛋,Onramp 体验可以做得跟 Apple Pay 一样丝滑。

把这些拼起来,你看到的是什么?

一套完整的"稳定币影子银行"系统。 跨境收钱、储存、计息、刷卡、提现、跨链,传统加密交易所做了五年没做利索的事,Stripe 用一年把全栈打通了。

更要命的是分发能力。Stripe 现在覆盖全球 16000 多家平台、1100 万家企业。当你在 Shopify 收一笔加纳的稳定币付款、在 DoorDash 用稳定币给骑手付薪、在 Substack 收稳定币订阅,背后都是 Stripe 的管道。

加密原教旨主义者会说:"这不算真正的加密,这是中心化。" 但市场不在乎。市场只在乎一件事:钱进出更快、更便宜、更少摩擦。

Patrick 在去年的 AMA 上被问到"Stripe 会不会自己发稳定币",他的回答耐人寻味:"我们不打算发,我们的目标是催化稳定币的采用。".

Agent 经济:Stripe、Visa、Mastercard 联手,把"AI 付钱"做成了 TCP/IP

这次 Sessions 真正让我倒吸一口冷气的,是另一个东西。

它叫 Machine Payments Protocol(MPP)

这个东西其实在 3 月 18 日就已经预热过,当时 Stripe 和 Paradigm 共同孵化的 L1 区块链 Tempo 主网上线,同步发布 MPP 协议。但那时候大多数人,包括我,都把它当成了又一个"对标 x402"的加密项目。

错了。

在 Sessions 现场,Stripe 把 MPP 拼进了一个更大的故事:Agentic Commerce Suite

这个故事是这样的:

  • 你的网店现在可以"被 AI agent 看到"。商家在 Stripe Dashboard 上传产品目录,授权 agent 接入。这套底层标准就是 ACP(Agentic Commerce Protocol),Stripe 和 OpenAI 在 2025 年 9 月共同发布、共同治理的开源协议。Sam 这次出现在 Sessions 现场,本质上就是来给 ACP 站台。
  • Stripe 和 Meta 合作,让 Facebook 广告里的商品可以被 AI 直接下单。
  • Stripe 和 Google 合作,把 AI Mode 和 Gemini 接入 Universal Commerce Protocol(UCP)。
  • Link 推出 agent wallet,你可以授权 AI agent 用你的 Link 钱包付款,但保留审批和可见性。
  • MPP 让 agent 可以在 Stripe 上做微支付、订阅支付、甚至流式支付,稳定币和法币都行。

注意一个微妙的格局:Stripe 同时握着两个 agent 商业协议,和 OpenAI 一起搞 ACP,和 Tempo + Visa + Mastercard 一起搞 MPP

前者偏应用层("agent 怎么在 ChatGPT 里下单"),后者偏支付层("agent 怎么在链上、卡上、钱包上结算")。Google 自己另起炉灶搞了 UCP,Coinbase 单独搞了 x402,但 Stripe 是唯一一家同时和 OpenAI、和 Visa/Mastercard、和 Google 都建立标准合作关系的公司。

这就是为什么 Sam 要亲自来。

把这些点连起来:当你让 ChatGPT 帮你订机票、让 Claude 帮你买礼物、让某个 agent 帮你管理 SaaS 订阅时,背后跑的钱,会经过 Stripe。

而 Stripe 这次最聪明的一招,是没有自己关起门来做。MPP 是开源的、与底层支付通道无关的(rail-agnostic)。 Visa 已经把它扩展到信用卡支付,Lightspark 把它扩展到比特币闪电网络,Stripe 把它扩展到 Klarna、Affirm 等 BNPL。

这种"我开标准、所有人都来用"的玩法,让我想起一件事:TCP/IP 当年也是这么赢的。

更狠的是 MPP 的设计。它有一个叫 "sessions" 的原语,agent 一次性获得授权额度,之后可以连续微支付,不需要每次都上链确认

听起来耳熟吗?这就是 Lightning Network 当年想干却没干成的事。Stripe 用一个支付公司的工程视角,把"链上为信任、链下为速度"这套架构,做成了一个真正能跑的产品。

到 Sessions 当天,MPP 的支付目录里已经有超过 100 个集成方,Alchemy、Dune、Anthropic、OpenAI、Shopify、DoorDash、Mastercard、Nubank、Revolut、渣打、德意志银行......

这是一份让任何加密协议方流口水的合作伙伴名单。

Stripe Treasury:硅谷创始人的"一站式财务",悄悄变成了商业银行

如果说前两块是给加密圈和 AI 圈的礼物,第三块,Stripe Treasury,则是直接对硅谷的传统银行业务发起进攻。

这次 Sessions 围绕 Treasury 的更新简直是把一家商业银行拆开来卖:

  • 存款:美国和英国企业 Treasury 账户支持 15 种货币储存。
  • 支付:US 商家之间 Stripe 内部转账免费、即时到账。
  • 消费:Stripe 推出自己的 Mastercard 卡,2% cashback。
  • 理财:Treasury 余额可以赚 Stripe 信用积分,抵扣处理费。
  • 融资:Atlas 创始人可以通过 Treasury 接收投资人的 SAFE 投资款,支持 ACH、电汇、稳定币三种方式。
  • 跨境:Treasury 余额由 Privy 的非托管钱包托底,可以即时跨境到 150 多个国家。
  • AI 化:agent-ready 财务账户允许 AI agent 查余额、付账单、发卡、管现金流,关键操作有 human-in-the-loop。

把这些拼起来:Stripe 已经悄悄给所有用它的小企业,发了一张"商业银行 + 投行 + 钱包 + AI 财务助理"的全家桶套餐。

而这背后最关键的一个细节是 Privy 的非托管钱包

Stripe 在 2025 年收购 Privy,当时大多数人以为只是一笔加密钱包的小补强。但现在你看:Treasury 在全球 150 个国家落地的底座,全部由 Privy 的非托管钱包架构提供。

这意味着传统银行最值钱的那个东西,"账户",被 Stripe 用稳定币和非托管钱包重新定义了。

一个尼日利亚的开发者,在 Stripe 上注册账户的那一刻,他实际上获得的是一个 Privy 钱包。这个钱包既可以收稳定币,也可以法币入金,背后还连着 Bridge 的跨境清算、Morpho 的 DeFi 收益。

整个流程,他不需要知道"区块链"三个字。

Stripe 的 AI 双叙事:基础设施给商家,模型给自己

这次 Sessions 还有一个容易被低估的点:Stripe 自己在用 AI 重写自己。

去年 Stripe 推出了"Payments Foundation Model",基于数百亿笔交易训练的支付基础模型。这次升级的版本据称在欺诈检测上把识别率提升了 64%。

而这次新发布的 Stripe Console,是一个直接嵌在 Dashboard 里的 agentic 执行环境,你用自然语言问"为什么我上周二的转化率下降了",它会给你一个跨产品的诊断;你跟它说"给所有过去 30 天没付款的客户发提醒",它会执行,并在重要操作前请求你确认。

Custom objects 让你可以在 Stripe 里建模自己的业务数据,像数据库一样调用。

Stripe Database 给你一个一键开通的、实时同步的 Postgres 只读数据库,这个东西放在数据公司那里要单独卖一年订阅费。

Workflows 现在 GA,支持循环、第三方动作、Connect 平台调用。

把这些放一起:Stripe 正在从一个 SDK 公司,变成一个"AI-native 的运营操作系统"。 商家不只是在 Stripe 上收钱,而是在 Stripe 上开公司、雇 agent、跑业务、做决策。

为什么这件事对加密行业很重要?

写到这里,可能很多读者会问:这跟加密有什么关系?

我自己的判断是:Stripe Sessions 2026 是稳定币和 agent 经济进入主流的"分水岭时刻"。

过去五年,加密圈反复讲一个故事:稳定币是 Web3 的"杀手级应用"。讲了五年,链上稳定币流通量确实增长得惊人,但绝大多数交易仍然在 CEX 之间、做市商之间、套利者之间打转。真正的 C 端商业、B2B 跨境支付场景,几乎没有进入。

为什么?因为门槛,KYC、钱包、私钥、Gas、出入金、合规,任何一个环节都能劝退一家正经做生意的公司。

Stripe 这次做的事情,是把所有这些门槛,藏到了它自己已经验证过的 SaaS 体验后面

商家在 Stripe Dashboard 上点一下"启用稳定币支付",就能收 USDC、USDG、USDB; 开发者在 PaymentIntents API 里加一个参数,就能让 AI agent 用 MPP 协议付钱; 创业公司在 Stripe Atlas 注册一家美国公司,就能拿到一个稳定币背书的全球银行账户。

没有助记词,没有 Gas,没有 chain ID。 用户只是在用一个比传统银行更顺滑的金融服务。

但是!请注意:

每一笔稳定币交易,确实跑在了 Tempo、Solana、Stellar、Base、Ethereum 上; 每一笔 agent 付款,确实跑过了 MPP 协议; 每一个 Treasury 账户,确实由 Privy 的非托管钱包托底。

链没有消失,它只是变成了管道。

这正是过去五年加密原教旨主义者最不愿意接受、但市场迟早会兑现的那个未来,普通用户不会因为热爱去中心化才用区块链,他们会因为体验更好才不知不觉用上区块链。

最后说几句

我看完这次 Sessions,最强烈的感受并不是感叹一句"Stripe 又厉害了",而是加密行业已经被收编了一半,但行业可能还没意识到。

Bridge、Privy、Tempo、MPP,这四个名字,过去 18 个月里一个接一个被 Stripe 体系吸收、孵化、整合。每一个单独看,都是某个加密细分赛道的明星项目。但放在 Stripe 这张图上,它们只是 4 个零件。

而 Stripe 自己呢?它的估值已经从 2025 年 2 月的 915 亿美元,涨到 2026 年 2 月的 1590 亿美元,一年涨了 70%。

去年的 Sessions,Patrick Collison 把 AI 和稳定币称作"gale force tailwinds",飓风级的顺风。一年过去了,这阵风没有变小,反而把 Stripe 自己吹成了风眼。

真正值得加密行业警惕的是:当稳定币和 agent 经济的 90% 流量都跑在 Stripe 的管道上时,去中心化叙事的话语权,还在不在加密行业自己手里?

下一次再有人在 X 上发"crypto is for real now",请记得:让它成为 real 的,可能不是某个发币的协议,而是一家叫 Stripe 的支付公司。

Patrick 去年说过一句话:"我们不发稳定币,我们催化稳定币的采用。"

他没说出口的下半句是:我们也不做 AI 应用,我们催化所有 AI 应用的商业化。

催化剂的另一个妙处是,反应结束的时候,桌上的功劳单上,往往不会写它的名字。

但 Sam 知道,Patrick 知道,加密行业也该知道了。

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1996 or 1999? Walsh's First Test is 'How to View AI'

"1996 or 1999? Wall's First Big Test Is 'How to View AI'" Federal Reserve Chairman Wall's initial challenge is not whether to raise or cut rates, but a more fundamental judgment: what kind of boom is the current AI boom? This will determine the Fed's policy path and define his legacy. Economics is split between two opposing views, according to reporter Nick Timiraos. One sees imminent productivity gains that will increase supply and cool inflation, allowing the Fed to hold steady. The other argues that while productivity benefits are distant, demand shocks are here now, and waiting for data confirmation risks missing the intervention window, forcing sharper rate hikes later. Wall has signaled a leaning toward the first view, echoing 1996-era Alan Greenspan, who embraced strong, productivity-driven growth without fear of inflation. However, Wall faces a different macro environment than Greenspan did, with tariff pressures, expanding fiscal deficits, and diminishing globalization benefits, which could force more significant inflation pressures even if AI benefits materialize. Wall's logic, expressed before taking office, is that AI-driven productivity gains won't show in official data for years. If the Fed waits for confirmation, it might mistakenly tighten policy and choke off the very growth that could suppress inflation. This argues for using forward-looking narratives over lagging data. Chicago Fed President Austan Goolsbee presents a key counter-argument. He distinguishes between expected and unexpected productivity booms. A widely anticipated boom, like the current AI wave, can cause people to spend future wealth gains in advance, overheating the economy before productivity actually rises, thus requiring preemptive rate hikes. He cites rising costs for AI data centers as evidence of such overheating. Fed Governor Christopher Waller offers a rebuttal to Goolsbee, noting the "expected spending" mechanism only works if people can borrow against future income, which many households cannot do due to borrowing constraints. Wall also faces a paradox related to his desire to reduce the Fed's use of "forward guidance" (pre-announcing policy moves). This practice was established in 1999 when Greenspan began signaling hikes to avoid market shocks. If the economy follows a less optimistic path, Wall may be forced to choose between using the guidance he wants to abolish or risking market volatility by staying silent. The ultimate question defining Wall's first major test remains: Is this 1996 or 1999?

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1996 or 1999? Walsh's First Test is 'How to View AI'

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