OpenClaw 本应是苹果智能。
OpenClaw is what Apple intelligence should have been

原始链接: https://www.jakequist.com/thoughts/openclaw-is-what-apple-intelligence-should-have-been

## 苹果错失了AI Agent的机会 Mac Mini出乎意料地热销,并非用于常规用途,而是作为运行AI Agent的专用服务器——一种直接在用户电脑内自动化任务的软件。OpenClaw,一个实现这一功能的开源框架,已成为苹果硬件令人惊讶的“杀手级应用”。 这凸显了苹果错失的一个机会。与其发布有限的“Apple Intelligence”,不如利用其硬件、生态系统和值得信赖的声誉,打造一个强大的、具有代理能力的AI,真正实现税务或电子邮件等工作流程的自动化。这将带来高额溢价,并可能主导AI领域。 作者认为,苹果可能因责任问题以及与LinkedIn和Facebook等依赖于用户在其*自身*生态系统内参与的平台之间的潜在冲突而犹豫不决。通过仅仅作为“硬件提供商”,苹果避免了对其代理行为的直接责任。 然而,这种做法目光短浅。拥有“代理层”将创建一个强大的、自我增强的平台——类似于App Store——苹果控制访问权限,并从AI的学习和在所有苹果设备上的集成中受益。目前的情况是,苹果从硬件销售中获利,而将更有利可图的平台收入让给了他人。

## OpenClaw 与苹果的 AI 战略:一次错失的机会? 一篇近期文章指出,能够通过直接与应用程序交互来自动化计算机任务的 AI 代理 OpenClaw,是苹果智能 *应该* 具备的模式。讨论的中心在于苹果是否优先考虑安全、渐进式的更新,而不是大胆的创新,选择通知摘要而不是真正具有代理性的 AI。 评论者们争论苹果改进现有概念的策略是否仍然有效,一些人指出过去的成功,另一些人则质疑其近期的表现。一个关键的担忧是,如果 AI 代理自动化当前由软件执行的任务,可能会对现有的应用程序开发者造成破坏。 许多人认为苹果的优势在于其软硬件集成以及在他人率先开拓技术 *之后* 确保和完善技术的能力。然而,一些人担心苹果可能会优先考虑广告和控制,而不是真正有用的 AI 功能。文章指出,Mac Mini 的销量激增,原因是用户寻求能够运行这些 AI 代理的硬件,这表明苹果目前尚未满足的需求。最终,争论的焦点在于苹果是否在战略上处于 AI 领域的领先地位,或者正在错失一个关键的机会。
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原文

Something strange is happening with Mac Minis. They’re selling out everywhere, and it’s not because people suddenly need more coffee table computers.

If you browse Reddit or HN, you’ll see the same pattern: people are buying Mac Minis specifically to run AI agents with computer use. They’re setting up headless machines whose sole job is to automate their workflows. OpenClaw—the open-source framework that lets you run Claude, GPT-4, or whatever model you want to actually control your computer—has become the killer app for Mac hardware. Not Final Cut. Not Logic. An AI agent that clicks buttons.

This is exactly what Apple Intelligence should have been.

Apple had everything: the hardware, the ecosystem, the reputation for “it just works.” They could have shipped an agentic AI that actually automated your computer instead of summarizing your notifications. Imagine if Siri could genuinely file your taxes, respond to emails, or manage your calendar by actually using your apps, not through some brittle API layer that breaks every update.

They could have charged $500 more per device and people would have paid it. The margins would have been obscene. And they would have won the AI race not by building the best model, but by being the only company that could ship an AI you’d actually trust with root access to your computer. That trust—built over decades—was their moat.

So why didn’t they?

Maybe they just didn’t see it. That sounds mundane, but it’s probably the most common reason companies miss opportunities. When you’re Apple, you’re thinking about chip design, manufacturing scale, and retail strategy. An open-source project letting AI agents control computers might not ping your radar until it’s already happening.

Or maybe they saw it and decided the risk wasn’t worth it. If you’re Apple, you don’t want your AI agent automatically buying things, posting on social media, or making irreversible decisions. The liability exposure would be enormous. Better to ship something safe and limited than something powerful and unpredictable.

But there’s another dynamic at play. Look at who’s about to get angry about OpenClaw-style automation: LinkedIn, Facebook, anyone with a walled garden and a careful API strategy. These services depend on friction. They want you to use their app, see their ads, stay in their ecosystem. An AI that can automate away that friction is an existential threat.

If Apple had built this, they’d be fighting Instagram over ToS violations by Tuesday. They’d be testifying in front of Congress about AI agents committing fraud. Every tech platform would be updating their terms to explicitly ban Apple Intelligence.

By letting some third party do it, Apple gets plausible deniability. They’re just selling hardware. Not their fault what people run on it. It’s the same strategy that made them billions in the App Store while maintaining they’re “not responsible for what developers do.”

But I think this is short-term thinking.

Here’s what people miss about moats: they compound. The reason Microsoft dominated PCs wasn’t just that they had the best OS. It’s that everyone built for Windows, which made Windows more valuable, which made more people build for Windows. Network effects.

If Apple owned the agent layer, they could have created the most defensible moat in tech. Because an AI agent gets better the more it knows about you. And Apple already has all your data, all your apps, all your devices. They could have built an agent that works across your iPhone, Mac, iPad, and Watch seamlessly—something no one else can do.

More importantly, they could have owned the API. Want your service to work with Apple Agent? You play by Apple’s rules. Suddenly Apple isn’t fighting with platforms—they’re the platform that platforms need to integrate with. It’s the App Store playbook all over again, but for the AI era.

The Mac Mini rush is a preview of this future. People want agents. They want automation. They want to pay for it. They’re literally buying extra computers just to run someone else’s AI on Apple’s hardware.

Apple is getting the hardware revenue but missing the platform revenue. That might look smart this quarter. But platform revenue is what built Apple into a $3 trillion company. And platforms are what create trillion-dollar moats.

I suspect ten years from now, people will look back at 2024-2025 as the moment Apple had a clear shot at owning the agent layer and chose not to take it. Not because they couldn’t build it—they obviously could—but because they were optimizing for this year’s legal risk instead of next decade’s platform power.

The people buying Mac Minis to run AI agents aren’t just early adopters. They’re showing Apple exactly what product they should have built. Whether Apple is paying attention is another question entirely.

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