They'll be AI generalists who can do it all.

他們將成為無所不能的人工智能通才。

I know because I've done it.

我知道，因為我做過。

Over the past two years, I've made almost $4 million by mastering a specific set of AI skills that have turned me into a one-person army.

在過去的兩年裡，我通過掌握一套特定的人工智能技能賺了將近 400 萬美元，這套技能讓我變成了一個人的軍隊。

And in this video, I'll show you why AI generalists will dominate every industry in the coming years, the eight AI skills that anyone can learn to become one, and exactly how to master these skills yourself, even if you're starting from zero.

在本視頻中，我將告訴你為什麼人工智能通才將在未來幾年主宰各行各業，任何人都可以通過學習成為人工智能通才的八項人工智能技能，以及如何掌握這些技能，即使你是零起點。

This video isn't just another learn AI guide.

本視頻不是另一個學習人工智能指南。

It's your blueprint to becoming unstoppable in 2025 and beyond.

這是您在 2025 年及以後變得勢不可擋的藍圖。

Before we get into things, if you are new to the channel and don't know who I am, my name is Liam Otley, and I've been an entrepreneur for the past six years, the past two of which have been fully focused on building AI businesses.

在我們進入正題之前，如果你是頻道的新成員，不知道我是誰，我的名字叫利亞姆-奧特利（Liam Otley），在過去的六年裡，我一直是一名企業家，其中過去的兩年裡，我一直專注於建立人工智能企業。

And for me, going all in on AI has completely changed my life.

對我來說，全情投入人工智能徹底改變了我的生活。

So on this channel, I help others understand the AI opportunity and make more money from it by sharing my learnings from building my company Morningside into a billion-dollar AI business.

是以，在這個頻道上，我通過分享我將自己的公司 Morningside 打造成價值十億美元的人工智能企業的經驗，幫助其他人瞭解人工智能的機遇，並從中賺取更多的錢。

If you want to learn more about me and my story, you can check out my My Story video, which I'll put in the description below.

如果您想進一步瞭解我和我的故事，可以查看我的 "我的故事 "視頻，我會把它放在下面的描述中。

But without further ado, let's get into the eight AI skills you need to crush in 2025 and beyond.

話不多說，讓我們來了解一下 2025 年及以後您需要掌握的八項人工智能技能。

To understand how to be one of the few winners in 2025, regardless of your career path, you need to understand the dynamics of the period that we're entering into.

要了解如何成為 2025 年為數不多的贏家之一，無論你的職業道路如何，你都需要了解我們正在進入的這個時期的動態。

And over the coming decade, the job market and society itself will be completely transformed by AI and automation.

未來十年，人工智能和自動化將徹底改變就業市場和社會本身。

According to McKinsey's 2023 research, AI could automate up to 50% of the current work activities by 2030.

根據麥肯錫 2023 年的研究，到 2030 年，人工智能可使當前多達 50% 的工作活動實現自動化。

And similarly, Bain's research shows that up to 80% of workers will face wage stagnation or displacement by 2030 due to AI and automation.

同樣，貝恩的研究表明，到 2030 年，由於人工智能和自動化的發展，多達 80% 的工人將面臨工資停滯或被取代的問題。

So in this era of radical transformation, how can you develop a winning strategy for your career to navigate through these uncharted waters?

那麼，在這個急劇轉型的時代，您如何才能為自己的職業生涯制定一個制勝戰略，在這些未知的水域中航行呢？

Believe it or not, evolutionary biology actually holds a lot of the answers we're looking for here.

信不信由你，其實進化生物學中蘊藏著很多我們正在尋找的答案。

As Darwin said, it's not the strongest of the species that survives, nor the most intelligent, it's the one that's the most adaptable to change.

正如達爾文所說，生存下來的不是最強壯的物種，也不是最聰明的物種，而是最能適應變化的物種。

And so during periods of massive environmental change, like this rocky period that humanity is entering over the next decade and beyond, the most adaptable organisms survive best.

是以，在環境發生巨大變化的時期，比如人類在未來十年及以後即將進入的坎坷時期，適應能力最強的生物生存得最好。

And nature gives us two distinct strategies for adapting as an organism.

大自然為我們提供了兩種截然不同的生物適應策略。

We have specialists and we have generalists.

我們有專家，也有通才。

Now give me a sec, I will bring this back around, but stick with me, okay?

給我點時間，我會把它帶回來的，但你要聽我說，好嗎？

Consider the giant panda.

想想大熊貓。

It's evolved over millions of years to eat only bamboo, with a thumb that's specifically designed to strip the bamboo leaves off the bamboo.

經過數百萬年的進化，它只吃竹子，拇指專門用來剝竹葉。

Now in stable times, this specialization is actually incredibly successful.

現在，在穩定的時代，這種專業化實際上取得了令人難以置信的成功。

There's a lot of bamboo they can tap into this food source, right?

它們有很多竹子可以利用這個食物來源，對嗎？

But if something happens to the bamboo forests, these pandas basically face extinction because they can't adapt to other food sources.

但是，如果竹林發生意外，這些熊貓基本上就會面臨滅絕，因為它們無法適應其他食物來源。

They are overly dependent on this specialization.

他們過於依賴這種專業化。

Now if you look at something like the raccoon, it can eat almost anything, live almost anywhere, and adapt to new environments rapidly.

現在，如果你看看浣熊這種動物，它幾乎什麼都能吃，幾乎能在任何地方生活，並能迅速適應新環境。

And when their habitat and environment changes, say there's billions of upright apes walking around and driving SUVs and living in houses, raccoons don't just survive, they've actually thrived with this changing environment.

當它們的棲息地和環境發生變化時，比如說有數十億直立猿走來走去，開著越野車，住在房子裡，浣熊不僅生存了下來，而且還在這種不斷變化的環境中茁壯成長。

The most dramatic example of this specialist versus generalist pattern playing out is over 66 million years ago, when a big asteroid hit Earth and wiped out all the dinosaurs.

6600萬年前，一顆巨大的小行星撞擊了地球，導致所有恐龍滅絕。

It wasn't the T-Rex that survived.

倖存下來的並不是霸王龍。

It wasn't these specialized marine reptiles or flying pterosaurs.

不是這些專門的海洋爬行動物，也不是會飛的翼龍。

These incredibly specialized and beautiful creatures that were perfectly adapted to the niches, they were wiped out almost overnight.

這些令人難以置信的專門而美麗的生物，它們完全適應了壁龕，但幾乎在一夜之間就被消滅了。

And who survived?

誰活了下來？

It was the small, inadaptable mammals, our ancient ancestors.

我們的遠古祖先是體型小、不適應環境的哺乳動物。

And they weren't the strongest or the most specialized.

他們不是最強壯的，也不是最專業的。

They were generalists who could eat anything, live anywhere, and quickly adapt to changing conditions in their environment.

它們是通才，可以吃任何東西，在任何地方生活，並能迅速適應環境中不斷變化的條件。

We're witnessing a similar extinction level event in the job market right now.

在就業市場上，我們正在目睹類似的大滅絕事件。

And just like the dinosaurs, there's a gigantic meteor coming right for us.

就像恐龍一樣，有一顆巨大的流星正向我們飛來。

In today's world, thankfully, we are not competing for physical survival.

在當今世界，值得慶幸的是，我們不是在為肉體的生存而競爭。

We're competing for economic and professional survival.

我們在為經濟和職業生存而競爭。

Just as environmental changes once determined which species thrived, technological changes are now determining which careers and skills will prosper.

正如環境的變化曾經決定了哪些物種能夠繁衍生息一樣，技術的變化現在也決定了哪些職業和技能能夠興旺發達。

In this competition for economic survival, the specialists are the corporate lawyers who spent seven years mastering contract law, or the radiologists who dedicated a decade to reading medical images.

在這場經濟生存競爭中，專家們是花了七年時間掌握合同法的公司律師，或是花了十年時間專門閱讀醫學影像的放射科醫生。

Or the software developers who invested years in learning a specific programming language.

或者說，軟件開發人員投入多年時間學習一種特定的編程語言。

And for the past 80 years, specialization like this has been the safest career strategy.

在過去的 80 年裡，這種專業化一直是最安全的職業戰略。

You're going to go deep in one area and become irreplaceable and enjoy a stable and prosperous career, right?

你要在一個領域深耕細作，成為無可替代的人，享受穩定而繁榮的職業生涯，對嗎？

But that equation is being flipped on its head over the coming decades as AI systems are now matching or exceeding these specialists' performance in countless different fields.

但是，在未來幾十年裡，人工智能系統在無數不同領域的表現將與這些專家不相上下，甚至有過之而無不及。

They are diagnosing diseases as accurately as doctors.

他們診斷疾病的準確度不亞於醫生。

They're reviewing legal documents faster than lawyers and being able to write code better and faster than many developers.

他們審查法律文件的速度比律師更快，編寫代碼的速度比許多開發人員更好更快。

And this is just the beginning.

而這僅僅是個開始。

These AI capabilities are literally doubling every six months.

這些人工智能能力每六個月就會翻一番。

So it's pretty safe to say that no career is safe over the next 10 years.

是以，可以肯定地說，未來 10 年內，沒有一個職業是安全的。

So we know what a specialist is, but what does an adaptable generalist look like in today's world?

我們知道什麼是專家，但在當今世界，適應性強的通才是什麼樣的呢？

These modern-day generalists are individuals who harness AI to acquire the capabilities of multiple different specialists simultaneously.

這些現代通才是利用人工智能同時獲得多個不同專家能力的人。

While these AI generalists may not match the absolute peak performance of true specialists right now, they can very quickly achieve up to, say, 80% of the capabilities of specialists across multiple different domains and specializations.

雖然這些人工智能通才現在可能無法達到真正專家的絕對峰值性能，但他們可以很快在多個不同領域和專業方面達到專家能力的 80%。

So instead of spending a decade mastering just one skill, these AI generalists can become proficient in new areas and new specializations in literally weeks.

是以，這些人工智能通才無需花費十年時間掌握一種技能，只需幾周時間就能精通新領域和新專業。

So they're using image generation to create professional artwork.

是以，他們使用影像生成技術來製作專業的藝術品。

They're using AI app builders to create software and using language models to write in any style or format they want.

他們正在使用人工智能應用程序生成器來創建軟件，並使用語言模型來以他們想要的任何風格或格式進行寫作。

They're basically acquiring these new powers through AI and allowing them to do more with less effort across many different fields.

他們基本上是通過人工智能獲得這些新的能力，使他們能夠在許多不同的領域事半功倍。

And we'll get to what these powers are exactly in a minute, but just a little bit longer here, stick with me.

我們馬上就會講到這些權力的具體內容，但在這裡稍等一下，請跟我來。

The potential of these AI generalists is so profound that Sam Altman, the CEO of OpenAI, recently shared that among his tech CEO friends, they're all taking bets on when we'll see the first one-person billion-dollar company.

這些人工智能通才的潛力是如此深遠，以至於 OpenAI 首席執行官山姆-奧特曼（Sam Altman）最近分享說，在他的技術首席執行官朋友中，他們都在打賭我們什麼時候會看到第一家一人身價十億美元的公司。

And that's something that would have been unimaginable without AI, according to him.

他認為，如果沒有人工智能，這是不可想象的。

This is because these AI generalists are like modern-day Leonardo da Vinci's.

這是因為這些人工智能通才就像當代的達文西。

And we're essentially in a digital renaissance right now.

而我們現在基本上正處於數字文藝復興時期。

And just as da Vinci was able to combine both art and engineering and anatomy and mathematics to see connections that others of his time in the renaissance missed, today's generalists use AI to bring multiple different disciplines together and create value in entirely new ways that weren't possible before.

正如達-芬奇能夠將藝術與工程學、解剖學與數學結合起來，從而發現文藝復興時期其他人所忽略的聯繫，今天的通才利用人工智能將多個不同學科結合起來，以全新的方式創造價值，這在以前是不可能實現的。

The tools at our disposal these days would seem like complete magic to Leonardo da Vinci.

如今，我們所掌握的工具對達文西來說簡直就是魔術。

And what took him basically years to master, we can now learn in weeks.

他花了數年時間才掌握的知識，我們現在幾周就能學會。

And what used to require teams of specialists, you can now do alone with AI.

過去需要專家團隊才能完成的工作，現在只需人工智能就能完成。

And what once would have cost millions in equipment and stuff, people can now achieve from their laptop on their own.

過去需要花費數百萬美元購買的設備和材料，現在人們只需通過自己的筆記本電腦就能實現。

And so the path to thriving in 2025 and beyond isn't through deeper specialization.

是以，通往 2025 年及以後繁榮發展的道路並不是通過深化專業化來實現的。

It's through becoming an AI generalist who has the power of entire departments of business in their fingertips.

通過成為一名人工智能通才，他們的指尖就能掌握整個業務部門的力量。

And this requires mastering four fundamental powers in the AI age that are each unlocked by a specific set of skills that anyone can learn, which we're going to jump into in a second.

而這需要掌握人工智能時代的四種基本能力，每種能力都由一套特定的技能解鎖，任何人都可以學習，我們稍後將跳轉到這些技能。

It may seem daunting to have to pick up all these skills, but learning them is what it's actually going to take to be able to thrive in the AI age.

要掌握所有這些技能似乎令人生畏，但學習這些技能實際上是在人工智能時代茁壯成長的必要條件。

But don't just take it from me, take it from Peter Thiel and the advice that he gave to Mark Zuckerberg.

但不要只聽我說，還要聽聽彼得-蒂爾和他給馬克-扎克伯格的建議。

And Peter Thiel is an absolute legend in the tech space, multi-billionaire, etc.

而彼得-蒂爾絕對是科技領域的傳奇人物，億萬富翁，等等。

So take a listen to this.

那就聽聽這個吧。

I think Peter was the person who told me this really pithy quote that in a world that's changing so quickly, the biggest risk you can take is not taking any risk.

我想是彼得告訴我這樣一句非常精闢的話：在一個瞬息萬變的世界裡，你能冒的最大風險就是不冒任何風險。

So if you're ready to lean into taking some risk and picking up new powers in the AI age, let me show you exactly what these powers are and how you can master them.

是以，如果你已經準備好在人工智能時代承擔一些風險並獲得新的能力，那麼就讓我來告訴你這些能力到底是什麼，以及你如何才能掌握它們。

The key to becoming an unstoppable AI generalist lies in the mastering of eight different AI skills, which can be grouped into the four fundamental powers of the AI age that generalists can acquire.

要成為不可阻擋的人工智能通才，關鍵在於掌握八種不同的人工智能技能，這些技能可以歸納為通才可以獲得的人工智能時代的四種基本能力。

Firstly, we have the power to build, which is creating software and tools.

首先，我們擁有建設的能力，也就是創造軟件和工具的能力。

Then we have the power to automate, which is creating AI agents and automating workflows.

然後，我們有能力實現自動化，即創建人工智能代理和自動化工作流程。

Then we have the power to create, generating professional grade content.

然後，我們就有能力進行創作，生成專業級的內容。

And finally, the power to connect, building influence and audience.

最後，連接的力量、影響力和閱聽人。

In this section, I'll show you exactly what each of these powers are, why they're so powerful, and the specific AI skills and tools needed to acquire each, starting with the most fundamental, the power to build.

在本節中，我將向你展示每種能力的具體內容、它們為何如此強大，以及獲得每種能力所需的具體人工智能技能和工具，從最基本的 "構建能力 "開始。

Software runs the world.

軟件決定世界。

Every app, website, digital tool that you use started with someone first building it.

您所使用的每一個應用程序、網站和數字工具，都是由某個人首先創建的。

So for most of us, this world of building has been locked away behind coding skills that we don't have.

是以，對於我們中的大多數人來說，這個建築世界一直被鎖在我們不具備的編碼技能背後。

So think about the last time you had an idea for some simple tool or website.

所以，想想你上一次為某個簡單的工具或網站出主意是什麼時候。

Maybe you had like a calculator for some specific needs, you wanted a custom booking system or a unique way to organize information just for yourself.

也許您需要一個計算器來滿足某些特定的需求，也許您需要一個定製的預訂系統，也許您需要一種獨特的方式來為自己組織資訊。

So the old way would be to have hired a developer and pay them thousands of dollars and then wait weeks of constant back and forth and communication before you finally get what you actually want.

是以，以前的方法是僱用開發人員，支付他們數千美元，然後等待幾個星期，不斷地來回溝通，最後才能得到你真正想要的東西。

Now, using AI tools like Bolt and Repl.it agent, you can build working software just by describing what you want in plain English.

現在，利用 Bolt 和 Repl.it agent 等人工智能工具，您只需用簡單的英語描述自己的需求，就能構建出可用的軟件。

Just the other day, I saw someone in my free community who built his own AI voice agent ROI calculator thing that he intends to use for lead generation for his AI automation agency.

就在前幾天，我在我的免費社區裡看到有人建立了自己的人工智能語音代理投資回報率計算器，他打算用這個計算器為他的人工智能自動化機構創造潛在客戶。

And he said that in just five minutes, he made this pretty clean looking website that allowed him to generate more leads for his business.

他說，只用了五分鐘，他就做出了這個看起來非常簡潔的網站，讓他為自己的業務帶來了更多的線索。

And this is just, of course, a basic example, but this guy would have normally had to go into Upwork and hire a dev and spend weeks getting this thing made.

當然，這只是一個最基本的例子，但這個人通常需要進入 Upwork，僱傭一名開發人員，花上幾周時間來製作這個東西。

Now, of course, these AI built tools and softwares aren't as polished as professional software, but they do work.

當然，這些人工智能打造的工具和軟件並不像專業軟件那樣精良，但它們確實有效。

And you can create some simple websites or calculators or trackers or just tools for yourself in general or for your small business in just minutes instead of months and with thousands of dollars spent.

你可以在短短几分鐘內為自己或小企業創建一些簡單的網站、計算器或跟蹤器或工具，而無需花費數月或數千美元。

And these kind of tools that allow you to build the software are only getting better and better and better.

這些讓你能夠構建軟件的工具只會越來越好。

So soon people will be able to create entire businesses around AI generated software.

是以，人們很快就能圍繞人工智能生成的軟件創建整個企業。

And so now is the perfect time to start learning how to use these kind of AI assisted development tools.

是以，現在正是開始學習如何使用這些人工智能輔助開發工具的最佳時機。

Therefore, the only skill required to gain the power to build is AI assisted app development with builders like Bolt and Repl.it agent.

是以，要獲得構建能力，唯一需要的技能就是使用 Bolt 和 Repl.it agent 等構建工具進行人工智能輔助應用程序開發。

In the final section of this video, I'll explain how you can learn this skill and all of the others rapidly with a couple of resources that I've put together for you.

在本視頻的最後部分，我將介紹如何利用我為你準備的一些資源快速學習這項技能和其他所有技能。

Building your own custom tools is really just the start of software.

構建自己的定製工具其實只是軟件的開始。

The real power comes from automating repetitive work.

真正的力量來自於重複性工作的自動化。

Think about all the repetitive work that you do every day.

想想你每天做的所有重複性工作。

You've got answering similar emails, scheduling meetings, creating social posts, managing tasks and updating spreadsheets.

你要回復類似的電子郵件、安排會議、創建社交帖子、管理任務和更新電子表格。

The old way was to either just do all this stuff yourself or to pay someone and hire a virtual assistant to do it for you, which can be both expensive and time consuming.

以前的方法是，要麼自己做這些事情，要麼花錢僱一個虛擬助理來幫你做，這樣既費錢又費時。

The world famous investor slash philosopher Navar Ravikant explains that success in the modern world comes down to leverage, ways to multiply your effort without multiplying the time you put in.

世界知名投資家、哲學家納瓦爾-拉維坎特（Navar Ravikant）解釋說，現代世界的成功歸根結底是槓桿作用，即如何在不增加時間的情況下成倍增加努力。

Traditionally, there are three forms of leverage.

傳統上，槓桿有三種形式。

You have labor, which is hiring people.

你有勞動力，也就是僱人。

You have capital, which is using money.

你有資本，也就是用錢。

And you have products with marginal cost of replication, which he puts down to being as code or as content.

他認為，產品的邊際複製成本可歸結為代碼成本或內容成本。

This means that with a piece of code or software, once you create it once, replicating that out to thousands or millions of users basically costs nothing to reach another user, right?

這就意味著，對於一個代碼或軟件來說，一旦你創建了一次，將其複製到成千上萬或數以百萬計的用戶中，基本上不需要花費任何成本就能接觸到另一個用戶，不是嗎？

And the same thing goes for content, because once I've created this video, it doesn't cost me anything extra in terms of effort for it to be shown to one or more or thousands more people.

內容也是如此，因為一旦我製作了這個視頻，我就不需要花費任何額外的精力，就能讓更多人看到它。

The creation of AI agents are a completely new form of leverage, which essentially combines code leverage and labor leverage into something that's entirely new.

創建人工智能代理是一種全新的槓桿形式，本質上是將代碼槓桿和勞動力槓桿結合起來，形成一種全新的東西。

You're essentially creating digital workers that you can spawn instantly for a fraction of the cost of a human, and they can work for you 24-7 with no complaints.

從根本上說，你是在創造數字員工，你只需付出人力成本的一小部分，就能立即催生出他們，而且他們可以全天候為你工作，毫無怨言。

And creating your own AI agents is getting easier and easier every day.

創建自己的人工智能代理變得越來越容易。

I've actually got an entire one hour long special on AI agents being released very shortly after this video is posted.

實際上，在這段視頻發佈後不久，我就會推出一個長達一小時的人工智能特工特輯。

So if you aren't already subscribed, I highly recommend you sub for that because it puts so much work into it.

是以，如果你還沒有訂閱，我強烈建議你訂閱，因為它投入了大量的精力。

It's going to cover all of the AI agent information you need to succeed in the coming decade.

它將涵蓋您在未來十年取得成功所需的所有人工智能代理資訊。

But building and managing AI agents are just one part of the power to automate.

但是，建立和管理人工智能代理只是自動化能力的一部分。

The other half is AI-based workflow automation.

另一半是基於人工智能的工作流程自動化。

So that's creating systems that connect your tools and handle routine tasks for you automatically and in the background.

這就是創建系統，連接你的工具，在後臺自動為你處理日常任務。

When you combine both of these, you can build entire automated systems that will basically do your job or run your business while you sleep. 2025 and the future that lies ahead belongs to the people who can create and deploy these AI workers, because it's like having a superpower where you can multiply yourself through technology.

當你把這兩者結合起來時，你就可以建立整個自動化系統，基本上可以在你睡覺時完成你的工作或經營你的業務。2025 年和未來屬於那些能夠創造和部署這些人工智能工作者的人，因為這就像擁有了一種超能力，你可以通過技術讓自己倍增。

In order to gain this power of automation, you need to master the following skills.

要想獲得這種自動化能力，您需要掌握以下技能。

Firstly, no-code AI agent development.

首先，無代碼人工智能代理開發。

So that's using things like open AIs, GPTs and relevance AI to be able to create these digital workers.

是以，我們可以利用開放式人工智能、GPT 和相關性人工智能等技術來創建這些數字工人。

Secondly, it's no-code AI workflow automation.

其次，它是無代碼人工智能工作流程自動化。

So connecting tools and building workflows using Zapier or Make.com.

是以，使用 Zapier 或 Make.com 連接工具並構建工作流。

The third skill, of course, is prompt engineering, being able to craft powerful prompts.

第三項技能當然是提示工程，即能夠製作強有力的提示。

And the best way to do that is using tools like PromptMeteorist, which is my personal favorite.

最好的方法就是使用 PromptMeteorist 等工具，這是我個人的最愛。

And we have API integrations, which is understanding basically how all of these automations can connect together, which is made a lot easier once you've mastered tools like Postman.

我們還有 API 集成，基本上就是了解所有這些自動化如何連接在一起，一旦掌握了 Postman 等工具，這就變得容易多了。

All of these skills combine to let you build sophisticated automated systems that basically work for you 24-7.

所有這些技能結合在一起，可以讓你建立複雜的自動系統，基本上全天候為你工作。

And I've got some incredible free resources for you to learn all of these very rapidly to share with you at the end of the video.

在視頻的最後，我將與大家分享一些令人難以置信的免費資源，供大家快速學習所有這些知識。

Think about all of the content that a modern business or a creator needs.

想想現代企業或創作者需要的所有內容。

You need designs, you need videos, you need music, you need writing, even simple projects need basically professional-grade content to stand out these days.

如今，你需要設計、需要視頻、需要音樂、需要寫作，即使是簡單的項目也基本上需要專業級的內容才能脫穎而出。

The old way was either to learn these complex creative tools yourself or to hire expensive freelancers or agencies to make this stuff for you.

以前的方法要麼是自己學習這些複雜的創意工具，要麼是僱用昂貴的自由職業者或代理公司為你製作這些東西。

Like a single video ad or a new ad campaign could cost thousands of dollars to get done with a creative agency or something.