Highlights
Shopify CEO Tobi Lutke 最近发了封内部信，核心意思是：在 Shopify，熟练用 AI 不再是加分项，而是基本要求。
为什么？因为 AI 这东西，用好了真是效率倍增器。Tobi 看到有人用 AI 把活儿干了 100 倍，这在以前根本不敢想。他说这就像《爱丽丝梦游仙境》里的红皇后赛跑，不快跑就等于后退，尤其在 Shopify 这种高速增长的公司，原地踏步就是 “慢动作失败”。
所以，Shopify 要求大家把 AI 用起来。做项目原型（GSD Prototype）必须先探索 AI 方案，绩效考核也会问 AI 用得怎么样。公司提供了工具（比如 chat.shopify.io、Copilot），鼓励大家自己学、互相分享经验。想加人加资源？先证明 AI 为什么搞不定。
最终目标是啥？就是让 Shopify 的每个人，从 CEO 到基层员工，都把 AI 当成像 ‘结对程序员’ 或 ‘深度研究员’ 一样的日常工具，帮商家在 AI 时代把生意做得更好。
Context: This is a Shopify internal memo that I shared here because it was in the process of being leaked and (presumably) shown in bad faith
背景：这是一份 Shopify 内部备忘录，我在此分享是因为它正处于泄露过程中，并且（可能）会被恶意展示。
Team,
团队，
We are entering a time where more merchants and entrepreneurs could be created than any other in history. We often talk about bringing down the complexity curve to allow more people to choose this as a career. Each step along the entrepreneurial path is rife with decisions requiring skill, judgement and knowledge. Having AI alongside the journey and increasingly doing not just the consultation, but also doing the work for our merchants is a mindblowing step function change here.
我们正在进入一个时代，在这个时代，可能会比历史上任何时候都创造出更多的商家和创业者。我们经常谈论降低复杂性曲线，以便让更多的人选择将其作为职业。创业道路上的每一步都充满了需要技能、判断力和知识的决策。在创业过程中拥有 AI，并且越来越多地不仅仅是咨询，而且还为我们的商家做工作，这是一个令人震惊的阶跃式变化。
Our task here at Shopify is to make our software unquestionably the best canvas on which to develop the best businesses of the future. We do this by keeping everyone cutting edge and bringing all the best tools to bear so our merchants can be more successful than they themselves used to imagine. For that we need to be absolutely ahead.
我们在 Shopify 的任务是使我们的软件无疑是开发未来最佳业务的最佳平台。我们通过保持每个人的领先地位，并带来所有最好的工具来做到这一点，以便我们的商家能够比他们自己过去想象的更加成功。为此，我们需要绝对领先。
Reflexive AI usage is now a baseline expectation at Shopify
在 Shopify，熟练运用 AI 已成为一项基本要求。
Maybe you are already there and find this memo puzzling. In that case you already use AI as a thought partner, deep researcher, critic, tutor, or pair programmer. I use it all the time, but even I feel I’m only scratching the surface. It’s the most rapid shift to how work is done that I’ve seen in my career and I’ve been pretty clear about my enthusiasm for it: you’ve heard me talk about AI in weekly videos, podcasts, town halls, and… Summit! Last summer I used agents to create my talk, and presented about that. I did this as a call to action and invitation for everyone to tinker with AI, to dispel any scepticism or confusion that this matters at all levels. Many of you took up the call, and all of us who did have been in absolute awe of the new capabilities and tools that AI can deliver to augment our skills, crafts, and fill in our gaps.
也许您已经做到了，并且觉得这份备忘录令人费解。如果是这样，您已经将 AI 用作思想伙伴、深度研究员、评论员、导师或结对程序员。我一直在使用它，但即使是我也觉得自己只是略窥门径。这是我职业生涯中所见过的最快速的工作方式转变，我对它充满热情，这一点我一直很明确：您在每周的视频、播客、全体员工大会和……峰会上都听到我谈论 AI！去年夏天，我使用代理来创建我的演讲，并介绍了这一点。我这样做是为了号召大家尝试使用 AI，以消除任何关于 AI 在各个层面都无关紧要的怀疑或困惑。你们中的许多人响应了号召，而我们所有这样做的人都对 AI 可以提供的增强我们技能、工艺和填补我们空白的新功能和工具感到敬畏。
What we have learned so far is that using AI well is a skill that needs to be carefully learned by… using it a lot. It’s just too unlike everything else. The call to tinker with it was the right one, but it was too much of a suggestion. This is what I want to change here today. We also learned that, as opposed to most tools, AI acts as a multiplier. We are all lucky to work with some amazing colleagues, the kind who contribute 10X of what was previously thought possible. It’s my favorite thing about this company. And what’s even more amazing is that, for the first time, we see the tools become 10X themselves. I’ve seen many of these people approach implausible tasks, ones we wouldn’t even have chosen to tackle before, with reflexive and brilliant usage of AI to get 100X the work done.
到目前为止，我们已经了解到，要想很好地使用 AI，需要通过大量使用来认真学习。它与所有其他工具都太不一样了。号召大家尝试使用它是正确的，但这只是一个建议。这是我今天想在这里改变的。我们还了解到，与大多数工具不同，AI 具有倍增效应。我们都很幸运能与一些优秀的同事一起工作，他们所做的贡献是之前认为可能的 10 倍。这是我最喜欢这家公司的一点。更令人惊奇的是，我们第一次看到工具本身也变成了 10 倍。我见过许多这样的人以熟练而巧妙地使用 AI 的方式来完成看似不可能的任务，这些任务是我们以前甚至不会选择处理的任务，从而完成 100 倍的工作。
In my On Leadership memo years ago, I described Shopify as a red queen race based on the Alice in Wonderland story—you have to keep running just to stay still. In a company growing 20-40% year over year, you must improve by at least that every year just to re-qualify. This goes for me as well as everyone else.
在多年前我关于领导力的备忘录中，我将 Shopify 描述为基于《爱丽丝梦游仙境》故事的红皇后赛跑——你必须不停地奔跑才能保持静止。在一家以每年 20-40% 的速度增长的公司中，你每年必须至少提高这么多才能重新获得资格。这对我以及其他所有人都是如此。
This sounds daunting, but given the nature of the tools, this doesn’t even sound terribly ambitious to me anymore. It’s also exactly the kind of environment that our top performers tell us they want. Learning together, surrounded by people who also are on their own journey of personal growth and working on worthwhile, meaningful, and hard problems is precisely the environment Shopify was created to provide. This represents both an opportunity and a requirement, deeply connected to our core values of Be a Constant Learner and Thrive on Change. These aren’t just aspirational phrases—they’re fundamental expectations that come with being a part of this world-class team. This is what we founders wanted, and this is what we built.
这听起来令人生畏，但考虑到工具的性质，这在我看来甚至不再是特别有野心的事。这也是我们的顶尖人才告诉我们他们想要的环境。一起学习，周围都是也在个人成长道路上的人，并且一起努力解决有价值、有意义且困难的问题，这正是 Shopify 旨在提供的环境。这既代表着机遇，也代表着要求，与我们”不断学习”和”在变革中茁壮成长”的核心价值观紧密相连。这些不仅仅是美好的愿景，它们是成为这个世界一流团队一员的基本期望。这就是我们创始人想要的，也是我们所构建的。
What This Means 这意味着什么
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Using AI effectively is now a fundamental expectation of everyone at Shopify. It’s a tool of all trades today, and will only grow in importance. Frankly, I don’t think it’s feasible to opt out of learning the skill of applying AI in your craft; you are welcome to try, but I want to be honest I cannot see this working out today, and definitely not tomorrow. Stagnation is almost certain, and stagnation is slow-motion failure. If you’re not climbing, you’re sliding.
现在，有效使用 AI 是 Shopify 每位员工的基本期望。它现在是一种通用工具，而且其重要性只会越来越高。坦率地说，我认为选择不学习在你工作中应用 AI 的技能是不可行的； 欢迎你尝试，但我想诚实地说，我看不出这在今天能行得通，明天肯定不行。停滞几乎是必然的，而停滞就是慢动作的失败。如果你不往上爬，你就会往下滑。
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AI must be part of your GSD Prototype phase. The prototype phase of any GSD project should be dominated by AI exploration. Prototypes are meant for learning and creating information. AI dramatically accelerates this process. You can learn to produce something that other team mates can look at, use, and reason about in a fraction of the time it used to take.
AI 必须是你 GSD 原型阶段的一部分。任何 GSD 项目的原型阶段都应该以 AI 探索为主导。原型的目的是为了学习和创造信息。AI 极大地加速了这个过程。你可以在过去所需时间的一小部分内，学习制作出其他团队成员可以查看、使用和推理的东西。
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We will add AI usage questions to our performance and peer review questionnaire. Learning to use AI well is an unobvious skill. My sense is that a lot of people give up after writing a prompt and not getting the ideal thing back immediately. Learning to prompt and load context is important, and getting peers to provide feedback on how this is going will be valuable.
我们将在绩效和同行评审问卷中增加人工智能使用问题。 学习如何好好利用人工智能是一项不明显的技能。 我认为很多人在编写提示后没有立即获得理想的结果就放弃了。 学习提示和加载上下文非常重要，让同行提供有关进展情况的反馈将非常有价值。
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Learning is self directed, but share what you learned. You have access to as much of the cutting edge AI tools as possible.There is chat.shopify.io, which we had for years now. Developers have proxy, Copilot, Cursor, Claude code, all pre-tooled and ready to go. We’ll learn and adapt together as a team. We’ll be sharing Ws (and Ls!) with each other as we experiment with new AI capabilities, and we’ll dedicate time to AI integration in our monthly business reviews and product development cycles. Slack and Vault have lots of places where people share prompts that they developed, like #revenue-ai-use-cases and #ai-centaurs.
学习是自我导向的，但要分享你所学到的东西。 您可以尽可能多地访问最前沿的人工智能工具。我们已经有了 chat.shopify.io 好几年了。 开发人员可以使用 proxy、Copilot、Cursor、Claude 代码，所有这些都已预先配置好并可以使用。 我们将作为一个团队一起学习和适应。 当我们试验新的人工智能功能时，我们将彼此分享成功案例（和失败案例！），并且我们将在每月业务审查和产品开发周期中专门安排时间进行人工智能集成。 Slack 和 Vault 有很多地方可以分享人们开发的提示，例如 #revenue-ai-use-cases 和 #ai-centaurs。
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Before asking for more Headcount and resources, teams must demonstrate why they cannot get what they want done using AI. What would this area look like if autonomous AI agents were already part of the team? This question can lead to really fun discussions and projects.
在要求增加人员和资源之前，团队必须证明为什么他们不能使用人工智能完成他们想做的事情。 如果自主人工智能代理已经是团队的一员，这个领域会是什么样子？ 这个问题可能会引发非常有趣的讨论和项目。
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Everyone means everyone. This applies to all of us—including me and the executive team.
每个人都包括所有人。 这适用于我们所有人——包括我和执行团队。
The Path Forward 前进的道路
AI will totally change Shopify, our work, and the rest of our lives. We’re all in on this! I couldn’t think of a better place to be part of this truly unprecedented change than being here. You don’t just get a front-row seat, but are surrounded by a whole company learning and pushing things forward together.
人工智能将彻底改变 Shopify、我们的工作以及我们生活的方方面面。我们全力以赴！我认为，没有什么地方比这里更适合参与这场真正史无前例的变革了。你不仅能获得前排座位，而且会被整个公司所包围，大家一起学习并推动事物向前发展。
Our job is to figure out what entrepreneurship looks like in a world where AI is universally available. And I intend for us to do the best possible job of that, and to do that I need everyone’s help. I already laid out a lot of the AI projects in the themes this year- our roadmap is clear, and our product will better match our mission. What we need to succeed is our collective sum total skill and ambition at applying our craft, multiplied by AI, for the benefit of our merchants.
我们的工作是弄清楚在人工智能普遍可用的世界里，创业会是什么样子。我希望我们能尽可能出色地完成这项工作，而要做到这一点，我需要每个人的帮助。今年我已经在主题中列出了许多人工智能项目——我们的路线图很明确，我们的产品将更好地匹配我们的使命。我们成功所需的，是将我们集体的技能和雄心应用于我们的事业，再乘以人工智能，从而为我们的商家带来利益。
-tobi CEO Shopify
-tobi Shopify 首席执行官
