Name: 人工智能影響者如何賺取數百萬美元 (How AI-Generated Influencers Are Earning Millions)
Uploaded: 2025-07-31T00:19:26.000Z
Duration: 9 min 22 s

This is Blue, an AI-generated YouTuber with millions of fans and a growing media empire.

這就是 "藍"，一個由人工智能生成的優酷用戶，擁有數百萬粉絲和不斷壯大的媒體帝國。

I'm a virtual influencer with a big and fun personality.

我是一個個性張揚、風趣幽默的虛擬影響者。

I'm all about good vibes and engaging content and I'm built by humans but boosted by AI and here to keep my millions of viewers worldwide entertained and keeping on coming back for more.

我的宗旨是營造良好的氛圍和吸引人的內容，我是由人類打造的，但由人工智能推動，讓我在全球數百萬觀眾面前保持娛樂，讓他們不斷回來獲取更多。

Since launching, Blue has pulled in over 700 million views and Blue's creator says he's earned more than a million dollars through YouTube ads and sponsorships.

自推出以來，Blue 的瀏覽量已超過 7 億次，Blue 的創作者說，他通過 YouTube 廣告和贊助賺了 100 多萬美元。

From creators uploading dozens of AI-generated videos a day to virtual characters made in seconds with tools like Hedra's Character 3, AI content is accelerating and so is the business behind it.

從創作者每天上傳數十個人工智能生成的視頻，到使用 Hedra's Character 3 等工具在幾秒鐘內製作出虛擬角色，人工智能內容正在加速發展，其背後的商業也是如此。

I think it's just a growing market, right?

我認為這只是一個不斷增長的市場，對嗎？

I think what we're seeing is not that people that were content creators shifting to being virtual content creators.

我認為，我們看到的並不是原來的內容創作者轉變為虛擬內容創作者。

I think what we're seeing is instead that people that didn't feel like they could create content before because they didn't want to be in front of camera or they didn't have you know a really nice podcast capturing setup are now able in a couple seconds to just go to our website and create an image, upload an image and immediately bring something to life.

我認為我們看到的是，以前因為不想在鏡頭前，或者沒有一個非常好的播客捕捉設置而無法創作內容的人，現在只需幾秒鐘就能進入我們的網站，創建一個圖片，上傳一個圖片，就能立即創作出有生命力的內容。

VTubers first gained traction in Japan but they're now expanding fast in the US where audiences are forming real emotional bonds with virtual creators.

VTubers 最初在日本受到歡迎，但現在正在美國迅速發展，美國觀眾正在與虛擬創作者建立真正的情感紐帶。

But as content spreads it's raising new questions about authenticity, automation and what happens when audiences can't tell the difference.

但隨著內容的傳播，人們對真實性、自動化以及閱聽人無法分辨時會發生什麼產生了新的疑問。

And is the next generation of YouTube stars even human?

下一代 YouTube 明星到底是不是人？

Blue was created by Jordi Vanderbosch, better known as Kwebbelkop, a longtime YouTuber with over 15 million subscribers.

Blue 是由 Jordi Vanderbosch 製作的，他的綽號是 Kwebbelkop，是一位擁有超過 1,500 萬訂閱者的長期 YouTuber。

The flaw in this equation is the human so we need to somehow remove the human out of this, out of the channel.

這個等式的缺陷在於人類，是以我們需要以某種方式將人類排除在這個等式之外，排除在通道之外。

But after nearly 10 years on YouTube Vanderbosch was burned out so he replaced himself with an AI, Blue.

但在 YouTube 上工作了近 10 年後，範德博斯感到厭倦了，於是他用人工智能 "藍 "取代了自己。

I would say a natural evolution in my own YouTube career.

我想說，這是我自己 YouTube 事業的自然發展。

So it started about 12-13 years ago I started creating content myself and eight years down the line I realized okay well what if I want to stop?

大約 12-13 年前，我開始自己創作內容，八年後我意識到，如果我想停止創作怎麼辦？

If you make a brand that revolves around you I have not seen a single influencer who was able to replace themselves successfully.

如果你打造的品牌是圍繞你自己展開的，我還沒見過哪個有影響力的人能夠成功地取代自己。

Today Blue is still voiced and puppeteered by a real voice actor but everything else from scripting to dubbing to social media is handled by AI.

如今，"藍 "仍由真人配音演員配音和製作木偶，但從腳本到配音再到社交媒體，所有其他工作都由人工智能處理。

I have the freedom to be on top of my game whenever and I can be on top of my game every day every video and make sure that each video is to the quality I want it to be.

我可以隨時隨地自由發揮自己的水準，我可以每天在每段視頻中都保持最佳狀態，確保每段視頻都達到我想要的品質。

When AI can do it better or faster or cheaper than humans that's when we'll start using it permanently.

當人工智能能比人類做得更好、更快或更便宜時，我們就會開始永久使用它。

The AI takes care of the scale and the human brings the soul.

人工智能負責規模，人類負責靈魂。

My viewers can keep on coming back and the viewers are always happy because the content's at the level I want it to be.

我的觀眾可以不斷回來，觀眾總是很高興，因為內容達到了我想要的水準。

A growing number of startups are racing to support this new generation of AI enhanced creators.

越來越多的初創企業正競相支持新一代人工智能創造者。

The global generative AI market which includes tools for video voice and content creation is expected to pass $1 trillion by 2034 according to President's research.

根據 President 的研究，到 2034 年，包括視頻語音和內容創建工具在內的全球生成式人工智能市場預計將超過 1 萬億美元。

One of them is Hydra, the company behind Character 3.

其中之一就是《角色 3》背後的公司 Hydra。

They're really excited to be launching a new model that will allow users to interact with the characters in real time and we think this has massive implications from everything from net new learning experiences to creating the next generation of customer support to fundamentally changing how we interact with AI agents.

他們非常高興能推出一種新的模式，讓用戶與角色進行實時互動。我們認為，這將產生巨大的影響，從淨新的學習體驗到創建下一代客戶支持，再到從根本上改變我們與人工智能代理的互動方式。

Character 3 lets creators animate faces, add voice, and customize personality all with minimal effort.

通過 Character 3，創作者只需付出極少的努力，就能製作面部動畫、添加語音和自定義個性。

It's already powering content from virtual artists like Mila Sophia and comedy projects like the Talking Baby podcast.

它已經為米拉-索菲亞（Mila Sophia）等虛擬藝人和 "會說話的寶貝"（Talking Baby）播客等喜劇項目的內容提供了支持。

On today's episode we'll be talking to the weird-looking person who lives at my house.

在今天的節目中，我們將與住在我家的那個長相怪異的人對話。

We've seen people create entire online identities around Hydra.

我們看到有人圍繞九頭蛇創建了整個網絡身份。

This ranges from people creating podcasters that talk about current events to people creating whole virtual influencers where those influencers have their own personality that might actually be decoupled from the creator.

這包括人們創建談論時事的播客，也包括人們創建整個虛擬影響者，這些影響者有自己的個性，實際上可能與創建者脫鉤。

So we think it's really exciting because it's a new way for people to express themselves.

是以，我們認為這非常令人興奮，因為這是人們表達自我的一種新方式。

Not everyone wants to get on camera but a lot of people have a story to tell and we think tools like Hydra and Character 3 allow people to create really interesting personalities and increase the diversity of content that you're going to see online.

不是每個人都想上鏡，但很多人都有故事要講，我們認為，像 Hydra 和 Character 3 這樣的工具可以讓人們創造出非常有趣的個性，增加你在網上看到的內容的多樣性。

Google's VO3 and OpenAI's Sora are a few examples of other AI startups offering video generation services as well.

谷歌的 VO3 和 OpenAI 的 Sora 也是其他提供視頻生成服務的人工智能初創公司的幾個例子。

But you don't need a cartoon character to go viral.

但你並不需要一個卡通人物來傳播病毒。

Some creators are running fully automated YouTube channels and are scaling at an unbelievable rate.

一些創作者正在運行完全自動化的 YouTube 頻道，並以令人難以置信的速度擴展。

My job is pretty much just do the aviation part.

我的工作主要是負責航空部分。

Obviously render and upload but like the rendering part is automated.

顯然是渲染和上傳，但渲染部分是自動完成的。

Writing scripts, generating visuals and dubbing narration.

撰寫腳本、製作視覺效果併為旁白配音。

One creator I spoke to is running 30 YouTube channels and is uploading as many as 80 videos a day.

與我交談過的一位創作者經營著 30 個 YouTube 頻道，每天上傳多達 80 個視頻。

He says coming up with the right idea is still the hardest part but everything after that AI takes care of it.

他說，提出正確的想法仍然是最難的部分，但之後的一切都會由人工智能來解決。

I think I'm more creative than ever because basically like the creativity you need, the level of creativity you need to have to actually be able to ideate content because we're talking that okay it's not just like yeah this title is good.

我覺得我比以往任何時候都更有創造力，因為基本上就像你需要的創造力一樣，你需要具備的創造力水準實際上是能夠構思內容的，因為我們說的是，好吧，這不僅僅是說這個標題好。

I actually try to make sure like every single title obviously I know it's not possible but you know like imagine every single day like ideating or creating yourself like ideas for 60 to 80 videos that you want them to go viral.

實際上，我試著去確保每一個標題，很明顯，我知道這是不可能的，但你知道，就像想象一下，每一天都在構思或創造自己喜歡的想法，為 60 到 80 個視頻，你希望他們去病毒式傳播。

這是一種全新的內容創作模式。

One built for scale, speed and search algorithms.

一個專為規模、速度和搜索算法而設計的系統。

I think I agree with Jordi and what he's talked about a little bit earlier and I think this is only the beginning.

我同意約爾迪的觀點，也同意他剛才所說的，我認為這僅僅是個開始。

As AI generated videos spread so do concerns about what they're doing to content.

隨著人工智能生成視頻的普及，人們也開始擔心它們會對內容造成什麼影響。

一些評論家甚至稱之為人工智能泔水。

A wave of low quality repetitive videos optimized for clicks not meaning.

低質量的重複性視頻浪潮，優化的是點擊率而非意義。

On TikTok, YouTube and Instagram it's getting harder to tell what's real and what's not.

在 TikTok、YouTube 和 Instagram 上，辨別真假越來越難。

You can pick up a camera and you can take a really uninteresting photo of a white wall.

你可以拿起相機，對著一面白牆拍一張非常無趣的照片。

You can take a photo of paint drying and people just won't get that surface right.

你可以拍一張油漆晾乾的照片，但人們就是無法拍出正確的表面。

I think all AI tools is this just made it easier to make something that's a little bit more diverse than just taking a picture of nothing and that is kind of the origin a lot of this slop but content ranking algorithms are going to deprioritize that over time and they're gonna surface what's creating engagement with people and I do think over time people do get inundated with you know just things that are exciting for the sake of exciting.

我認為所有的人工智能工具都能讓我們更輕鬆地製作出更多樣化的內容，而不僅僅是什麼都不拍的照片，這也是很多邋遢內容的起源，但隨著時間的推移，內容排名算法將不再優先考慮這些內容，它們將浮現出能與人們產生互動的內容，我認為隨著時間的推移，人們確實會被那些為了刺激而刺激的東西所淹沒。

The tools are improving fast but many say they still lack the human intuition that makes content truly resonate.

這些工具正在快速改進，但許多人認為它們仍然缺乏人類的直覺，而這種直覺能讓內容真正產生共鳴。

Even Vanderbosch who built one of the most successful AI personalities online says full automation isn't ready.

即使是打造了最成功的人工智能網絡人物之一的範德博斯也表示，全自動化還沒有準備好。

We're just trying to find the sweet spot constantly compared to humans.

與人類相比，我們只是在不斷努力尋找最佳狀態。

Humans have this intuition and a good understanding of the world or maybe you have this certain data set that this AI system just doesn't have right.

人類有直覺，對世界有很好的理解，或者你有某個數據集，而人工智能系統卻沒有。

That gap is what keeps creators like Vanderbosch involved for now but experts say the bigger risk isn't that content is bad it's that it's convincing because if synthetic content looks real sounds real and performs well who's watching that.

這種差距讓像範德博斯這樣的創作者目前仍在參與其中，但專家表示，更大的風險不是內容不好，而是內容是否令人信服，因為如果合成內容看起來真實、聽起來真實、表現良好，誰還會看呢？

We sort of now live in an environment where anything could be AI and therefore we we need a way to try and get to a point where we can definitively figure out well is it or not.

我們現在生活在一個任何東西都可能是人工智能的環境中，是以我們需要一種方法來嘗試並達到一個點，讓我們可以明確地知道它是不是人工智能。

Azure calls it the liar's dividend a world where doubt spreads faster than truth.

阿祖爾稱其為 "金光黨的紅利"，在這個世界上，懷疑比真相傳播得更快。

I feel we are moving into a time where you do not have a right and you do not have a way necessarily to understand what is human made and what is not what is a human voice or a synthetic one.

我覺得我們正在進入這樣一個時代，你沒有權利也沒有辦法去了解什麼是人類製造的，什麼不是，什麼是人類的聲音，什麼是合成的聲音。

And nowhere is that confusion more volatile than social media.

而這種困惑最不穩定的地方莫過於社交媒體。

Social media is the perfect storm it's kind of a cauldron of all of the the kind of ingredients that can make AI as disruptive as possible really.

社交媒體是一場完美的風暴，它就像一個小耳朵，彙集了所有能讓人工智能儘可能具有顛覆性的成分。

While AI transforms the way content is created meaning connection and voice still come from people at least for now.

雖然人工智能改變了創建內容的方式，但至少目前，人與人之間的聯繫和聲音仍然來自於人。

But as the tools improve and audiences evolve the line between creator and code is only getting blurrier. you

但是，隨著工具的改進和閱聽人的發展，創作者和代碼之間的界限越來越模糊。