注：英文引文，机翻未校。
如有内容异常，请看原文。

---

Something big is happening in AI — and most people will be blindsided

人工智能领域正发生巨变——绝大多数人将毫无防备

By Matt Shumer
作者：马特·舒默

February 11, 2026, 9:22 AM ET
美国东部时间 2026 年 2 月 11 日上午 9:22

Matt Shumer is the co-founder and CEO of OthersideAI, an applied AI company building the most advanced autocomplete tools in the world, powered by large-scale AI systems like GPT-3. OthersideAI is the company behind HyperWrite, the leading AI autocomplete Chrome extension for consumers.
马特·舒默是 OthersideAI 联合创始人兼首席执行官。OthersideAI 是一家应用型人工智能公司，依托 GPT-3 等大规模人工智能系统，打造全球领先的智能补全工具。该公司也是面向消费者的主流 Chrome 浏览器智能补全扩展程序 HyperWrite 的开发方。

Previously, while in high school, Matt founded Visos, a startup developing next-generation Virtual Reality software designed for medical use, and FURI, a company aiming to disrupt the sporting goods industry by creating high-performance products and selling them for fair prices.
此前，在读高中期间，马特创立了 Visos 与 FURI 两家初创公司：Visos 专注研发医疗领域下一代虚拟现实软件；FURI 则通过打造高性能产品并以合理价格销售，试图重塑体育用品行业。

Matt Shumer, co-founder and CEO of OthersideAI, who penned a blog post on X about AI’s looming impact that has been viewed by more than 50 million people.
courtesy of OthersideAI
OthersideAI 联合创始人兼首席执行官马特·舒默，其在 X 平台发布的一篇关于人工智能潜在影响的博客文章，阅读量已超 5 000 万次。
图片由 OthersideAI 提供

Think back to February 2020.
回想 2020 年 2 月。

A few people were talking about a virus spreading overseas. If someone told you they were stockpiling toilet paper you would have thought they’d been spending too much time on a weird corner of the internet. Then, over the course of about three weeks, the entire world changed.
当时只有少数人在讨论一种在海外传播的病毒。如果有人告诉你他在囤积卫生纸，你只会觉得他在网络小众角落待太久了。然而，短短三周左右，整个世界彻底改变。

I think we’re in the “this seems overblown” phase of something much, much bigger than Covid.
我认为，我们正处在一件远比新冠疫情更重大事件的“看似夸大其词”阶段。

I’ve spent six years building an AI startup and investing in the space. I live in this world. And I’m writing this for the people in my life who don’t. I keep giving them the polite, cocktail-party version. Because the honest version sounds like I’ve lost my mind. But the gap between what I’ve been saying and what is actually happening has gotten far too big. The people I care about deserve to hear what is coming, even if it sounds crazy.
我花了 6 年时间创办人工智能初创企业并在该领域投资，身处行业中心。我写下这些，是为了身边不了解这个领域的人。此前我只对他们说温和、客套的版本，因为实话听起来像是我疯了。但我所说的与实际正在发生的之间差距已经太大。我在乎的人理应知道即将到来的变化，哪怕听上去匪夷所思。

I should be clear about something up front: even though I work in AI, I have almost no influence over what’s about to happen, and neither does the vast majority of the industry. The future is being shaped by a remarkably small number of people: a few hundred researchers at a handful of companies… OpenAI, Anthropic, Google DeepMind, and a few others.
我需要先明确一点：尽管我从事人工智能行业，但我对即将发生的事几乎没有影响，行业内绝大多数人也是如此。未来正由极少数人塑造：少数几家公司的几百名研究人员……OpenAI、Anthropic、谷歌 DeepMind 以及其他几家机构。

Most of us who work in AI are building on top of foundations we didn’t lay. We’re watching this unfold the same as you… we just happen to be close enough to feel the ground shake first.
我们大多数人工智能从业者，都在并非自己搭建的基础之上做开发。我们和你们一样，在旁观这一切发生……只是离得足够近，能最先感受到震动。

But it’s time now. Not in an “eventually we should talk about this” way. In a “this is happening right now and I need you to understand it” way.
但现在已经到了必须正视的时刻。不是“我们迟早该聊聊”，而是“这一切正在发生，我需要你立刻理解”。

I know this is real because it happened to me first

我确信这一切真实，因为它先发生在了我身上

Here’s the thing nobody outside of tech quite understands yet: we’re not making predictions. We’re telling you what already occurred in our own jobs, and warning you that you’re next.
有一件事科技圈外还少有人真正理解：我们不是在预测未来。我们是在告诉你，这些事已经在我们的工作中发生，并提醒你，你会是下一个。

For years, AI had been improving steadily. Then in 2025, new techniques for building these models unlocked a much faster pace of progress. This year, something clicked. Not like a light switch… more like the moment you realize the water has been rising around you and is now at your chest.
多年来，人工智能一直在稳步进步。2025 年，构建模型的新技术让发展速度大幅加快。到今年，质变发生了。不像电灯开关一按就亮……更像你突然意识到，水位已在身边上涨，漫到了胸口。

I am no longer needed for the actual technical work of my job. I describe what I want built, in plain English, and it just… appears. Not a rough draft I need to fix. The finished thing. I tell the AI what I want, walk away from my computer for four hours, and come back to find the work done. Done well, done better than I would have done it myself, with no corrections needed. A couple of months ago, I was going back and forth with the AI, guiding it, making edits. Now I just describe the outcome and leave.
我工作中的实际技术任务，已经不再需要我亲自完成。 我用通俗语言描述想要做的东西，它就直接……做出来了。不是需要我修改的初稿，而是成品。我告诉人工智能需求，离开电脑 4 小时，回来时工作已经完成。完成得很好，比我自己做得更好，无需任何修改。几个月前，我还需要和人工智能反复沟通、引导、修改。现在我只描述结果，然后离开即可。

Let me give you an example so you can understand what this actually looks like in practice. I’ll tell the AI: “I want to build this app. Here’s what it should do, here’s roughly what it should look like. Figure out the user flow, the design, all of it.” And it does. It writes tens of thousands of lines of code. Then, and this is the part that would have been unthinkable a year ago, it opens the app itself. It clicks through the buttons. It tests the features. It uses the app the way a person would. If it doesn’t like how something looks or feels, it goes back and changes it, on its own. It iterates, like a developer would, fixing and refining until it’s satisfied. Only once it has decided the app meets its own standards does it come back to me and say: “It’s ready for you to test.” And when I test it, it’s usually perfect.
我举个例子，让你明白实际场景中是什么样子。我会对人工智能说：“我要开发这款应用，它要实现这些功能，大致是这个界面。把用户流程、设计等全部搞定。”它就会完成。它能写出数万行代码。然后，这在一年前是不可想象的——它会自己打开这款应用，点击按钮，测试功能，像人一样使用。如果对某个界面或交互不满意，它会自行回去修改，像开发者一样迭代优化，直到满意为止。只有当它认定应用达到自己标准时，才会告诉我：“可以测试了。”而我测试时，通常已经非常完美。

I’m not exaggerating. That is what my Monday looked like this week.
我没有夸大。这就是我本周一的真实工作。

I’ve always been early to adopt AI tools. But the last few months have shocked me. These new AI models aren’t incremental improvements. This is a different thing entirely.
我一直是人工智能工具的早期使用者，但过去几个月仍然让我震惊。这些新的人工智能模型不是渐进式改进，而是完全不同的东西。

The experience that tech workers have had over the past year, of watching AI go from “helpful tool” to “does my job better than I do”, is the experience everyone else is about to have. Law, finance, medicine, accounting, consulting, writing, design, analysis, customer service. Not in 10 years. The people building these systems say one to five years. Some say less. The market was spooked enough this month that it wiped out $1 trillion worth of software value in just a week. And given what I’ve seen in just the last couple of months, I see more disruption, and soon.
过去一年里，科技从业者见证人工智能从“有用工具”变成“比我做得更好的同事”，这种体验即将发生在每个人身上。法律、金融、医疗、会计、咨询、写作、设计、分析、客服。不是 10 年后。开发这些系统的人说，是 1 到 5 年，有人认为更短。本月市场已足够恐慌，软件行业市值在一周内蒸发 1 万亿美元。而从我过去几个月所见来看，更大的颠覆即将到来。

“But I tried AI and it wasn’t that good”

“可我用过人工智能，并没那么厉害”

If you tried ChatGPT in 2023 or early 2024 and thought “this makes stuff up” or “this isn’t that impressive”, you were right. Those early versions were genuinely limited. They hallucinated. They confidently said things that were nonsense.
如果你在 2023 年或 2024 年初用过 ChatGPT，并觉得“它会胡编乱造”或“并没那么惊艳”，你是对的。那些早期版本确实能力有限，会产生幻觉，一本正经地胡说八道。

The models available today are unrecognizable from what existed even six months ago. The debate about whether AI is “really getting better” or “hitting a wall” — which has been going on for over a year — is over. It’s done. Anyone still making that argument either hasn’t used the current models, has an incentive to downplay what’s happening, or is evaluating based on an experience from 2024 that is no longer relevant. I don’t say that to be dismissive. I say it because the gap between public perception and current reality is now enormous, and that gap is dangerous… because it’s preventing people from preparing.
如今可用的模型，与半年前相比已经面目全非。持续一年多的“人工智能是真的在进步还是遇到瓶颈”的争论已经结束。任何还在持这种观点的人，要么没用过当前模型，要么有意淡化现状，要么还在用 2024 年已过时的体验做判断。我这么说不是轻视，而是因为公众认知与现实差距已经巨大，这种差距很危险……因为它在阻碍人们提前准备。

Part of the problem is that most people are using the free version of AI tools. The free version is over a year behind what paying users have access to. Judging AI based on free-tier ChatGPT is like evaluating the state of smartphones by using a flip phone. The people paying for the best tools, and actually using them daily for real work, know what’s coming.
部分问题在于，大多数人只用免费版人工智能工具。免费版比付费版落后一年以上。用免费版 ChatGPT 评判人工智能，就像用翻盖手机评价智能手机行业。那些付费使用顶级工具、每天在实际工作中真正使用的人，清楚未来会怎样。

I think of my friend, who’s a lawyer. I keep telling him to try using AI at his firm, and he keeps finding reasons it won’t work. And I get it. But I’ve had partners at major law firms reach out to me for advice, because they’ve tried the current versions and they see where this is going. One of them, the managing partner at a large firm, spends hours every day using AI. He told me it’s like having a team of associates available instantly. He’s not using it because it’s a toy. He’s using it because it works. And he told me something that stuck with me: every couple of months, it gets significantly more capable for his work. He said if it stays on this trajectory, he expects it’ll be able to do most of what he does before long… and he’s a managing partner with decades of experience. He’s not panicking. But he’s paying very close attention.
我想到一位律师朋友。我一直劝他在律所使用人工智能，他总能找到行不通的理由，我能理解。但已有多家大型律所合伙人联系我咨询，因为他们用过当前版本，知道发展方向。其中一位大型律所管理合伙人，每天花数小时使用人工智能。他说，这就像随时拥有一支助理团队。他用它不是因为好玩，而是因为真的能用。他的一句话让我印象深刻：每隔几个月，它处理工作的能力就会显著提升。他说，如果按这个趋势，用不了多久，人工智能就能完成他大部分工作……而他是拥有数十年经验的管理合伙人。他没有恐慌，但在高度关注。

Think about what that means for your work.
想想这对你的工作意味着什么。

What this means for your job

这对你的工作意味着什么

I’m going to be direct with you because I think you deserve honesty more than comfort.
我会直接告诉你真相，因为你需要的是诚实，而非安慰。

Dario Amodei, who is probably the most safety-focused CEO in the AI industry, has publicly predicted that AI will eliminate 50% of entry-level white-collar jobs within one to five years. And many people in the industry think he’s being conservative. Given what the latest models can do, the capability for massive disruption could be here by the end of this year. It’ll take some time to ripple through the economy, but the underlying ability is arriving now.
达里奥·阿莫迪可能是人工智能行业最关注安全问题的首席执行官，他公开预测，人工智能将在 1 到 5 年内淘汰 50% 的初级白领岗位。行业内很多人认为他已经偏保守。以最新模型的能力来看，引发大规模颠覆的技术条件今年年底就可能具备。它需要时间传导至整个经济，但底层能力已经到来。

This is different from every previous wave of automation, and I need you to understand why. AI isn’t replacing one specific skill. It’s a general substitute for cognitive work. It gets better at everything simultaneously. When factories automated, a displaced worker could retrain as an office worker. When the internet disrupted retail, workers moved into logistics or services. But AI doesn’t leave a convenient gap to move into. Whatever you retrain for, it’s improving at that too.
这与以往每一轮自动化都不同，我需要你理解其中区别。人工智能不是替代某一项具体技能，而是可以普遍替代认知类工作。它在所有领域同时进步。工厂自动化时，失业工人可以再培训成为办公室职员；互联网颠覆零售时，从业者可以转向物流或服务。但人工智能不会留下方便转型的缺口。无论你转做什么，人工智能在那个领域也在进步。

I think the honest answer is that nothing that can be done on a computer is safe in the medium term. If your job happens on a screen (if the core of what you do is reading, writing, analyzing, deciding, communicating through a keyboard) then AI is coming for significant parts of it. The timeline isn’t “someday.” It’s already started.
坦率地说，中期来看，所有能在电脑上完成的工作都不再安全。如果你的工作在屏幕上完成（核心是阅读、写作、分析、决策、通过键盘沟通），那么人工智能将接管其中很大一部分。时间线不是“某一天”，而是已经开始。

Eventually, robots will handle physical work too. They’re not quite there yet. But “not quite there yet” in AI terms has a way of becoming “here” faster than anyone expects.
最终，机器人也会承担体力工作。目前还不完全成熟，但在人工智能领域，“还不成熟”变成“已经实现”的速度，往往比所有人预期都快。

What you should actually do

你现在真正该做什么

I’m not writing this to make you feel helpless. I’m writing this because I think the single biggest advantage you can have right now is simply being early. Early to understand it. Early to use it. Early to adapt.
我写这些不是为了让你感到无助，而是因为我认为，你现在能拥有的最大优势，就是先行一步：早理解、早使用、早适应。

Start using AI seriously, not just as a search engine. Sign up for the paid version of Claude or ChatGPT. It’s $20 a month. But two things matter right away. First: make sure you’re using the best model available, not just the default. These apps often default to a faster, dumber model. Dig into the settings or the model picker and select the most capable option. Right now that’s GPT-5.2 on ChatGPT or Claude Opus 4.6 on Claude, but it changes every couple of months. If you want to stay current on which model is best at any given time, you can follow me on X (@mattshumer_). I test every major release and share what’s actually worth using.
认真使用人工智能，而不只是把它当搜索引擎。 订阅 Claude 或 ChatGPT 付费版，每月 20 美元。有两件事立刻要做：第一，确保使用当前最强模型，而非默认版本。这些应用通常默认更快但更弱的模型。进入设置或模型选择界面，选用能力最强的版本。目前是 ChatGPT 的 GPT-5.2 或 Claude 的 Opus 4.6，但每几个月就会更新。如果你想随时了解最优模型，可以在 X 平台关注我（@mattshumer_）。我会测试每一次重大更新，分享真正值得用的版本。

Second, and more important: don’t just ask it quick questions. That’s the mistake most people make. They treat it like Google and then wonder what the fuss is about. Instead, push it into your actual work. If you’re a lawyer, feed it a contract and ask it to find every clause that could hurt your client. If you’re in finance, give it a messy spreadsheet and ask it to build the model. If you’re a manager, paste in your team’s quarterly data and ask it to find the story. The people who are getting ahead aren’t using AI casually. They’re actively looking for ways to automate parts of their job that used to take hours. Start with the thing you spend the most time on and see what happens.
第二，也是更重要的：不要只问简单问题。这是大多数人犯的错误。他们把它当谷歌用，然后不明白为什么大家如此重视。相反，把它融入实际工作。如果你是律师，把合同交给它，让它找出所有可能损害客户利益的条款。如果你在金融行业，把复杂表格给它，让它搭建模型。如果你是管理者，粘贴团队季度数据，让它梳理关键信息。走在前面的人，不是随便用用人工智能，而是主动寻找方法，把原本要花数小时的工作自动化。从你最耗时的任务开始尝试。

And don’t assume it can’t do something just because it seems too hard. Try it. If you’re a lawyer, don’t just use it for quick research questions. Give it an entire contract and ask it to draft a counterproposal. If you’re an accountant, don’t just ask it to explain a tax rule. Give it a client’s full return and see what it finds. The first attempt might not be perfect. That’s fine. Iterate. Rephrase what you asked. Give it more context. Try again. You might be shocked at what works. And here’s the thing to remember: if it even kind of works today, you can be almost certain that in six months it’ll do it near perfectly. The trajectory only goes one direction.
不要因为任务看起来很难，就认定它做不到。试试看。如果你是律师，不要只让它做简单检索，把整份合同交给它，让它起草反要约。如果你是会计，不要只让它解释税法条文，把客户完整报税材料给它，看它能发现什么。第一次尝试可能不完美，没关系。迭代、优化提问、补充上下文、再试一次。结果可能让你震惊。记住一点：就算今天只能勉强完成，半年后它几乎肯定能近乎完美地做好。发展方向只有一个：持续变强。

This might be the most important year of your career. Work accordingly. I don’t say that to stress you out. I say it because right now, there is a brief window where most people at most companies are still ignoring this. The person who walks into a meeting and says “I used AI to do this analysis in an hour instead of three days” is going to be the most valuable person in the room. Not eventually. Right now. Learn these tools. Get proficient. Demonstrate what’s possible. If you’re early enough, this is how you move up: by being the person who understands what’s coming and can show others how to navigate it. That window won’t stay open long. Once everyone figures it out, the advantage disappears.
今年可能是你职业生涯中最重要的一年，请认真对待。 我这么说不是为了给你压力，而是因为现在有一个短暂窗口期：绝大多数公司的大多数人仍在忽视人工智能。在会议上说出“我用人工智能把原本 3 天的分析压缩到 1 小时完成”的人，会成为全场最有价值的人。不是未来，就是现在。学习这些工具，熟练掌握，展示可能性。如果你足够早，这就是你晋升的路径：成为那个理解未来、能带领他人适应变化的人。这个窗口不会持续太久，一旦所有人都明白，优势就消失了。

Have no ego about it. The managing partner at that law firm isn’t too proud to spend hours a day with AI. He’s doing it specifically because he’s senior enough to understand what’s at stake. The people who will struggle most are the ones who refuse to engage: the ones who dismiss it as a fad, who feel that using AI diminishes their expertise, who assume their field is special and immune. It’s not. No field is.
放下身段。 那位律所管理合伙人，不会因为身份尊贵就不屑每天花数小时用人工智能。他这么做，正是因为他足够资深，明白利害关系。最艰难的会是那些拒绝接触的人：认为这只是一时潮流、觉得用人工智能贬低自己专业能力、认定自己行业特殊不会被冲击的人。并非如此，没有行业能幸免。

Get your financial house in order. I’m not a financial advisor, and I’m not trying to scare you into anything drastic. But if you believe, even partially, that the next few years could bring real disruption to your industry, then basic financial resilience matters more than it did a year ago. Build up savings if you can. Be cautious about taking on new debt that assumes your current income is guaranteed. Think about whether your fixed expenses give you flexibility or lock you in. Give yourself options if things move faster than you expect.
理顺财务状况。 我不是理财顾问，也不想吓唬你做极端决定。但如果你哪怕部分相信，未来几年你的行业会迎来真正颠覆，那么基础财务抗风险能力就比一年前更重要。尽可能储蓄，谨慎新增负债——那些默认当前收入稳定的负债。思考固定支出是给你灵活度，还是在束缚你。为变化快于预期的情况，给自己留好选择。

Think about where you stand, and lean into what’s hardest to replace. Some things will take longer for AI to displace. Relationships and trust built over years. Work that requires physical presence. Roles with licensed accountability: roles where someone still has to sign off, take legal responsibility, stand in a courtroom. Industries with heavy regulatory hurdles, where adoption will be slowed by compliance, liability, and institutional inertia. None of these are permanent shields. But they buy time. And time, right now, is the most valuable thing you can have, as long as you use it to adapt, not to pretend this isn’t happening.
认清自身位置，聚焦最难被替代的部分。 有些东西被人工智能取代需要更久：多年建立的关系与信任、需要线下在场的工作、需要资质与责任认定的岗位——必须有人签字、承担法律责任、出庭的角色。监管严格的行业，合规、责任与机构惯性会延缓技术普及。这些都不是永久屏障，但能争取时间。而现在，时间是你最宝贵的财富——前提是你用它来适应，而不是假装一切没发生。

Rethink what you’re telling your kids. The standard playbook: get good grades, go to a good college, land a stable professional job. It points directly at the roles that are most exposed. I’m not saying education doesn’t matter. But the thing that will matter most for the next generation is learning how to work with these tools, and pursuing things they’re genuinely passionate about. Nobody knows exactly what the job market looks like in ten years. But the people most likely to thrive are the ones who are deeply curious, adaptable, and effective at using AI to do things they actually care about. Teach your kids to be builders and learners, not to optimize for a career path that might not exist by the time they graduate.
重新思考你对孩子的规划。 传统路径：考高分、上好大学、找稳定白领工作。而这些恰恰是最容易被冲击的岗位。我不是说教育不重要，但对下一代最重要的，是学会与这些工具协作，追求真正热爱的事物。没人确切知道 10 年后就业市场是什么样，但最有可能成功的，是那些充满好奇心、适应力强、能用人工智能做好自己真正在乎之事的人。教孩子成为创造者与学习者，而不是为一条毕业时可能已不存在的职业路径刻意规划。

Your dreams just got a lot closer. I’ve spent most of this section talking about threats, so let me talk about the other side, because it’s just as real. If you’ve ever wanted to build something but didn’t have the technical skills or the money to hire someone, that barrier is largely gone. You can describe an app to AI and have a working version in an hour. I’m not exaggerating. I do this regularly. If you’ve always wanted to write a book but couldn’t find the time or struggled with the writing, you can work with AI to get it done. Want to learn a new skill? The best tutor in the world is now available to anyone for $20 a month… one that’s infinitely patient, available 24/7, and can explain anything at whatever level you need. Knowledge is essentially free now. The tools to build things are extremely cheap now. Whatever you’ve been putting off because it felt too hard or too expensive or too far outside your expertise: try it. Pursue the things you’re passionate about. You never know where they’ll lead. And in a world where the old career paths are getting disrupted, the person who spent a year building something they love might end up better positioned than the person who spent that year clinging to a job description.
你的梦想，现在近了很多。 这部分我大多在讲挑战，现在说说另一面，它同样真实。如果你曾想做某件事，却没有技术能力或资金雇人，现在这个障碍基本消失了。你向人工智能描述一款应用，1 小时内就能得到可运行版本。我没有夸大，我经常这么做。如果你一直想写书，却没时间或写作困难，可以和人工智能协作完成。想学新技能？全球最好的导师现在每月只需 20 美元……它无限耐心、全天候可用，能用你需要的任何难度解释任何内容。知识现在基本免费，创造工具也极其便宜。任何你因为太难、太贵、超出能力而推迟的事，现在都可以试试。去追求热爱的事物。你永远不知道结果会怎样。在传统职业路径被颠覆的世界里，花一年时间做自己热爱之事的人，可能比死守岗位的人处境更好。

Build the habit of adapting. This is maybe the most important one. The specific tools don’t matter as much as the muscle of learning new ones quickly. AI is going to keep changing, and fast. The models that exist today will be obsolete in a year. The workflows people build now will need to be rebuilt. The people who come out of this well won’t be the ones who mastered one tool. They’ll be the ones who got comfortable with the pace of change itself. Make a habit of experimenting. Try new things even when the current thing is working. Get comfortable being a beginner repeatedly. That adaptability is the closest thing to a durable advantage that exists right now.
养成适应变化的习惯。 这可能是最重要的一点。具体工具不重要，快速学习新工具的能力才重要。人工智能会持续快速变化，今天的模型一年后就会过时，现在搭建的工作流需要重构。最终胜出的人，不是掌握某一种工具的人，而是习惯变化节奏的人。养成尝试的习惯，就算当前工具好用，也去尝试新东西。习惯反复从零开始。这种适应力，是现在最接近持久优势的东西。

Here’s a simple commitment that will put you ahead of almost everyone: spend one hour a day experimenting with AI. Not passively reading about it. Using it. Every day, try to get it to do something new… something you haven’t tried before, something you’re not sure it can handle. Try a new tool. Give it a harder problem. One hour a day, every day. If you do this for the next six months, you will understand what’s coming better than 99% of the people around you. That’s not an exaggeration. Almost nobody is doing this right now. The bar is on the floor.
给你一个简单却能让你领先绝大多数人的承诺：每天花 1 小时尝试人工智能。不是被动阅读，而是实际使用。每天让它做一件新事……你从没试过、不确定它能否完成的事。尝试新工具，给它更难的问题。每天 1 小时，坚持下去。如果接下来 6 个月你都这么做，你对未来的理解会超过身边 99% 的人。这不是夸张，现在几乎没人这么做，门槛极低。

What I know

我所确信的

I know the next two to five years are going to be disorienting in ways most people aren’t prepared for. This is already happening in my world. It’s coming to yours.
我确信，未来 2 到 5 年将充满混乱与不适，绝大多数人毫无准备。这在我的世界已经发生，也即将来到你的世界。

I know the people who will come out of this best are the ones who start engaging now — not with fear, but with curiosity and a sense of urgency.
我确信，最终最好的处境，属于现在就开始接触的人——不是带着恐惧，而是带着好奇与紧迫感。

We’re past the point where this is an interesting dinner conversation about the future. The future is already here. It just hasn’t knocked on your door yet.
这早已不是茶余饭后聊聊未来的有趣话题。未来已经到来，只是还没敲响你的门。

It’s about to.
而它即将到来。

If this resonated with you, share it with someone in your life who should be thinking about this. Most people won’t hear it until it’s too late. You can be the reason someone you care about gets a head start.
如果这篇文章让你有所触动，把它分享给身边需要思考这件事的人。大多数人直到为时已晚才会醒悟。你可以成为你在乎的人提前准备的原因。

The author would like to thank Kyle Corbitt, Jason Kuperberg, and Sam Beskind for reviewing early drafts and providing invaluable feedback.
作者感谢凯尔·科比特、杰森·库珀伯格、萨姆·贝斯科德对初稿的审阅与宝贵反馈。

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of Fortune*.*
《财富》官网评论文章仅代表作者个人观点，不一定反映《财富》杂志立场。

This column has been adapted for brevity from shumer.dev, where a longer version appears.

Ref:

• Something big is happening in AI — and most people will be blindsided | Fortune
  https://fortune.com/2026/02/11/something-big-is-happening-ai-february-2020-moment-matt-shumer/

• Something Big Is Happening — matt shumer
  https://shumer.dev/something-big-is-happening