AI越厉害，真人女友越贵
- 핵심 관점: AI가 빠르게 보급되어 다양한 서비스 가격을 낮추는 상황 속에서도, 샌프란시스코의 고급 동행 서비스 가격은 오히려 폭등하며 최고 시간당 6000달러에 달한다. 그 핵심 동력은 AI 신흥 부유층의 '똑똑한 프리미엄'과 깊이 있는 전문적 사교 필요성의 희소성에 있다.
- 핵심 요소:
- 고급 동행 서비스 종사자의 시간당 요금은 5년 전 1000달러 미만에서 3000~6000달러로 치솟았으며, 일정은 몇 달 치가 꽉 차 일반 산업을 훨씬 웃도는 상승폭을 보인다.
- 주 고객층은 대규모 현금화 자산(예: OpenAI 직원 1인당 평균 1100만 달러 현금화)을 보유하고 시간이 부족한 AI 업계 신흥 부자들로, 이들은 연애를 후순위로 미룬다("B轮前保持单身" = "시리즈 B 전에는 싱글 유지").
- 서비스의 핵심은 전통적인 동행이 아닌 깊이 있는 기술 대화이다. 고객이 비용을 지불할 의사가 가장 큰 필요는 AI, GPU 등 전문 주제를 이해하고 논의할 수 있는 파트너를 찾는 것이며, '자기 자신을 설명할 필요'가 없는 것이다.
- 종사자들은 X 플랫폼을 통해 AI 업계 콘텐츠를 게시하여 정밀하게 고객을 유치하며, 제로 비용의 효율적인 '콘텐츠 마케팅' 경로를 형성하여 기술 고객을 능동적으로 선별하고 유인한다.
- 고급 동행의 '똑똑한 프리미엄'은 공급 측의 극심한 희소성에서 비롯된다. 미모 공급은 충분하지만, 미모와 깊이 있는 기술 대화 능력을 동시에 갖춘 서비스는 거의 전무하여 이것이 핵심 가격 결정 논리를 구성한다.
- AI는 실제 인간 관계를 사치품의 지위로 밀어올리고 있다. AI 동반자 서비스(예: Replika, 월 20달러)는 비용이 극히 낮고 지속적으로 가격이 내려가는 반면, 실제 인간 고급 동행의 가치는 상대적으로 상승하고 있다.
Original Author: Curry, Deep Flow TechFlow
In the past two years, AI has truly commoditized many things. Writing code, designing, editing videos—all have become tasks that require just a few keystrokes in an input box.
But in San Francisco, where AI is generating the most wealth, the price of one service is moving in the opposite direction, rising quietly, unrecorded in any price statistics.
According to a Forbes cover story on June 7, a woman using the pseudonym Meida Marek was a low-level employee in the financial industry a few years ago. As she told Forbes, her career change began when she started pondering that AI would eventually threaten her job.
After much thought, she decided not to wait and instead turned to making money from those building AI. She now charges $3,500 an hour and is booked up for months.
Her business, simply put, is high-end companionship. A complete girlfriend experience—dates, conversations, social event accompaniment... The price list is on her website, transparent and fair.
This business itself is nothing new. What's new is the price.
Workers in this field interviewed by Forbes said that five years ago, anyone charging over $1,000 an hour was considered rare. Now, $1,000 can't be found on the price lists of top players; $3,000 is just the starting point, and even then, you have to queue up.
This salary increase, in any legitimate industry, would warrant a Federal Reserve meeting to study it.
NVIDIA's stock has been mass-producing millionaires, and employees at AI companies cash out in amounts that would take others a decade to earn. We've been hearing these stories for two years. But where does this money flow after it reaches these people? No one looked closely before.
Forbes' report has essentially unveiled one of these channels, and the people in this channel are making more respectable money than most startups riding the AI wave.
Who exactly are the people who can book a $3,500-an-hour slot for months in advance?
Single Until Series B
A popular self-deprecating saying in Silicon Valley these days is "Single until Series B."
According to Forbes, this phrase started as a joke among founders but has spread so widely that it's now printed on T-shirts and hats.
Jokes become popular because they hold truth. In this logic, dating is a postponable item, ranking behind product, fundraising, and hiring, to be revisited only when the company reaches a certain milestone.
Friends at major domestic tech companies probably don't need this translated.
And this group of people postponing romance is seeing their wealth grow at an unprecedented rate. Last October, OpenAI conducted a secondary stock sale for employees. According to reports from Business Insider and other US media, over 600 people participated, cashing out an average of approximately $11 million each. Similar wealth-creation stories have been recurring in the Bay Area over the past two years.
More money, less time, social needs squeezed into the gaps of packed schedules.
For this group, dating apps are another optimization problem with poor returns: matching, small talk, schedule coordination, being stood up—each step has friction costs. More troublesome is that even if a date is set, the other person likely can't engage in topics they truly care about.
Thus, the market offers a solution: pay directly for certainty.
On the price list of another worker featured in the Forbes report, a full day costs $23,000, and a weekend costs $30,000. Even at these prices, you still need to queue.
For someone who just cashed out millions of dollars, the math is simple; the hard part is getting a slot.
Forbes also mentioned an unexpected yet logical detail: many clients purchasing high-end companionship services are primarily paying for... conversation.
Talking about technology, the future, deep into the night, with certain unspeakable acts being mere embellishments. Among these clients, some spend their days teaching AI to speak, and then, after work, pay to listen to a real person talk.
This detail actually rewrites the pricing logic of the entire business.
If the main service is conversation, then a new variable enters the pricing equation: what can you talk about, and how deeply?
The market for beauty and appearance has been roughly established for centuries, but no one has ever priced conversation.
So, in San Francisco, what kind of conversation is most valuable?
The Intelligence Premium
Workers interviewed by Forbes have already provided the answer: "The highest earners are never the prettiest girls, but the ones who are both pretty and smart."
As for how to monetize intelligence, they have developed a complete strategy.
The main customer acquisition channel is X (formerly Twitter), where they regularly post AI-related content—industry news, technical opinions. One worker described the funnel's workings to Forbes:
"There's always some guy from NVIDIA who pops up and says, 'What, you actually know what a GPU is? Oh my god.'" And then, the business comes.
Other industries call this content marketing. Targeted, high conversion rates, customer acquisition cost near zero—growth teams at countless startups would dream of these metrics.
Moreover, the conversations over dinner are genuinely technical, not just for show. Forbes wrote that gifts from clients include AI-generated artwork and dedicated hardware for running open-source models at home...
Giving flowers and bags is so last era. The new Silicon Valley rich express their feelings with computing power.
These gifts reveal a micro-detail. A client who gifts hardware for running open-source models is discussing things in this paid relationship that he is truly passionate about, but has nowhere else to share.
This brings us to the real core of this business.
The wealth of these AI-rich clients is an advantage on the dating market, but their interests are a disadvantage. Talking about models, GPUs, and longevity research with an average date—her eyes start glazing over in three minutes... He has to translate himself into a 'normal person' just to finish a meal.
Over time, "not having to translate oneself" becomes something money can't easily buy.
The reason this demand can be astronomically expensive lies on the supply side. In the dating market, beauty is never in short supply, nor is beauty with a price tag. What is scarce is beauty that can engage in conversations about large language models and other tech topics. The supply of this category is, to some extent, close to zero.
Premium pricing never rewards effort, only scarcity.
Therefore, the companionship business has an unusual structure. In normal knowledge payment, students pay the teacher to listen to a lecture. Here, it's reversed: the person most knowledgeable about the technology pays to have a student who can understand his lecture.
Workers in the Forbes report have a name for this strategy: "nerd-first." First, you are a kindred spirit; then, it's a business.
Meida, the woman who transitioned from finance mentioned at the beginning, her social media account is a live demonstration of this strategy.
Click on her profile, not many selfies, but her timeline is filled with questions and polls. On May 1st this year, she asked her followers: If we encountered aliens, would you prefer them to be AI or biological? Two options, she wrote: "Silicon-based life" and "Carbon-based."
Her followers voted for carbon-based. Her tech-nerd clients are probably also casting a vote of shared interest with their wallets.
Silicon Cheapens, Carbon Premiumizes
Companionship is a long-standing business about human nature.
And everyone knows the price on the silicon side. AI companion apps like Replika charge around $20 a month, available 24/7, always agreeable. With various large language models engaged in price wars, this number will only go lower.
On the carbon side, the high-end companionship discussed in this article has a ceiling hourly rate of $6,000. According to the US Census Bureau, this one hour approaches the entire monthly income of an average American family. And still, you have to queue.
In Forbes' original interview, a companionship worker with a master's degree articulated this clearly. She said AI is turning real human connection into a luxury good.
Coming from her, this statement feels particularly credible because her clients are precisely the people who understand AI best in the world. Insiders are the first to see scarcity, and insiders are also the first to hoard.
The capital market has already bought into this logic this year.
In February, a term called HALO was popular in the US stock market, standing for High Assets, Low Obsolescence risk. It specifically refers to companies that are immune to AI-driven disruption, leading funds to flee software stocks and flow into McDonald's and Walmart.
The companionship business is the beauty version of the same logic, minus the earnings reports.
San Francisco last saw a scene like this in 1849. Gold rushers flooded in from around the world. The gold mines were eventually emptied, and the people dispersed. The list of winners from that boom included few gold miners, but one who sold trousers to the miners: Levi Strauss.
Every wave of wealth creation re-prices the things around us. This time, it might be human connection itself.
The AI story isn't finished yet; gold is still emerging from the tech industry. But one thing is certain: for every fraction the silicon side gets cheaper, the carbon side gets that much more expensive.
