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- awilkinson(@EMostaque)：RT @awilkinson Stop what you're doing for a few minutes. Outrage porn about Trump, Mamdani, and P. Diddy can wait. None of that matters compared to what I'm about to say. Something insane is coming. Something that's made me rethink everything I know about investing and business. What if I told you that in the next 1,000 days, everything you've learned and honed over the last few decades could become irrelevant? Your expertise. Your knowledge. The things that gives you status and wealth. All of it—potentially made obsolete. There's something scary and amazing happening in the world. An artificial intelligence tsunami is approaching that will wash away the moats of an astounding number of businesses - and almost nobody sees it coming. And I'm not just talking about you tech bros. Everyone. HVAC. Plumbing. Electrical. Carpentry. Construction. Landscaping. Every business model built on today's skilled labor shortages is about to change. Just as we protect our most valuable physical assets, we need to think about protecting ourselves against this impending disruption. Think about your house for a second. You've got insurance for that, right? Most of us pay a small annual fee (a premium) to protect our homes from fires and other unpredictable events. It makes a lot of sense. A price we collectively pay to help us sleep at night. But outside of their homes, most people don't adequately insure themselves because, let's be honest—it's confusing to figure out how to do so, and frankly, it's painful to think about downside scenarios. Yet for many of us—founders especially—the majority of our net worth isn't in our homes. It's in business equity. Private, and sometimes public portfolios of stocks. Insuring against risks to business equity is complicated, and hedging — insuring financial assets against loss — mostly remains the domain of people in finance. Like when my friend @BillAckman made $2.6 billion from $27M worth of credit default swaps—the billionaire equivalent of buying fire insurance for his massive stock portfolio—during the height of COVID insanity in March 2020. A hedge is the finance world's version of home insurance. For the cost of a few percent of your assets, you buy a financial instrument that (hopefully) covers you in a downside scenario. If some black swan occurs and causes the value of your assets to fall, you get a big payout that covers your losses. In some cases, investors even buy these as individual investments. All-or-nothing bets on a macro trend, a company being disrupted, or a risk the market is underestimating. But the problem with a hedge is that you can't buy one when you need one. You have to buy them before everyone else catches on. And right now, there's a massive exogenous risk to almost every business model on the planet: artificial intelligence. Yeah, yeah. You've seen ChatGPT. I can see you shaking your head. But this isn't about chatbots that forget what you're talking about after 10 minutes. This is about where it's going in the near future. I'm astounded by how few business leaders are thinking clearly about that future. Even people in tech who should know better. Yes, they get that AI is a big deal. What they don't get is that many of them are ants in front of the steamroller. Imagine you're living in 1900 and someone hands you a smartphone. That's the level of disruption we're about to experience. The best summation I've heard is this quote from @bgurley: It's like we've discovered a new continent with 100 billion people on it, and they're all willing to work for free. *Note: these people are also soon to be super geniuses. But more on that in a moment. How would the world react if this was true? If we discovered this imaginary continent? I think slightly differently from what we're seeing today. Because we'd all recognize that it would completely shift the dynamics of our labour force. It would be like if, over the course of a year or two, 80 million extremely skilled illegal immigrants entered the United States and were willing to accept 10‑cent‑per‑hour wages. This might sound wild, but this isn't some far-future prediction: many conservative analysts agree that AI will in some way disrupt at least 25% of all jobs by 2030 - and that number keeps getting revised upward. Here's the scary part: Imagine we could hit a big red PAUSE button and stop AI development in its tracks. Freeze it. No more progress. Just roll out what already exists. Here are the jobs we know will vanish in 5-10 years, using only today's technology like LLMs (OpenAI/Anthropic/Grok/DeepMind) and self-driving (Waymo/Tesla): Drivers - 7-10% of jobs Trucking, taxi/Uber, delivery, couriers Admin - 10-15% of jobs Data entry, exec assistants, customer service, bookkeeping, payroll Low Level Legal - 2-5% of jobs Paralegals, legal researchers, contract review Of course, these are just the jobs that would be disrupted if we PAUSED AI today, made no further progress, and focused on rolling out these technologies. This gets far crazier if you assume AI continues to progress. Based on conversations with leading AI researchers and my own analysis, here's what I imagine the next five years could look like: 2026-27: First Wave - AI automation becomes more widespread - Digital Employees arrive - Markets celebrate productivity gains 2028-29: The Hammer Drops - AI matches/exceeds human cognitive abilities - Mass white-collar displacement begins - First fully AI-managed companies appear GDP soars while individual prosperity grows less certain 2030 and beyond: The Great Reshuffling - AI-human hybrid roles become the norm - Many knowledge work jobs vanish - New goods and services emerge, creating new unforeseen jobs - Profound increases in productivity across all dimensions of society (business, science, medicine, education, research) - Governments create a universal basic income or negative income tax This isn't science fiction futurism. These timelines are based on predictions from industry leaders. @DarioAmodei, Anthropic's famously cautious CEO, who has historically underestimated AI timelines (and who is about as close to the metal as you can get), recently predicted that AI could wipe out half of all entry-level white-collar jobs within five years. What he said next was far more profound: I have never been more confident that we're close to powerful AI systems. What I've seen inside Anthropic over the last few months has led me to believe that we're on track for human-level systems that surpass humans in every task within two to three years. Let me bold that for you: IN EVERY TASK. That is, beating the best PhDs in the most complex fields (physics, material science, biology, astronomy, etc) by 2027 or 2028. Let's say it's the latter. January 2028. That means that we have 918 days until our human hardware — our brains — become like vinyl records compared to digital audio. Beautiful and unique in their own way, but ultimately obsolete for most practical purposes. There will be a day - probably in 2026 or 2027 - when we'll look back and say 'that was the moment everything changed.' Just like the iPhone launch or the internet going mainstream. I believe we're rapidly nearing that inflection point. I remember walking around, shopping in a mall, using my Palm Treo — one of the first internet connected phones — to send emails and thinking this is the future. But we all know what happened next. The iPhone came out. The Palm Treo was a joke compared to what was coming, just as current AI systems are a joke compared to what's coming in the next 2-3 years. A friend of mine who works at a frontier AI lab put it this way: Nobody gets what's coming. When I talk to people about this, I feel like I'm an epidemiologist in January 2020 freaking out about COVID while my friends stare at me like a crazy person. But what about jobs that require humanity? Deep connection and trust? We have a deep need to connect with other humans and I don't imagine that will change. Business has always been built on relationships - on looking someone in the eye and knowing they'll deliver, on understanding subtle social cues, on building genuine connections that last years or decades. Surely those roles are safe from AI disruption. Or are they? Have you tried OpenAI's Advanced Voice mode? It's basically the movie 'Her' in real life – a perfectly natural voice you can talk to conversationally. It launched just 12 months ago, and already I sometimes forget I'm not talking to a human (when in reality, I'm talking to millions of lines of code). What about video models like Google Veo 3 and OpenAI's Sora? They're already generating photo-realistic videos of humans that look almost real. Now combine the two: LLM + audio + video. Imagine 4K streaming video with perfect human voices, complete with emotional resonance and an LLM that can pass the Turing test. This is the disruption nobody's talking about. We all love thinking that AI = efficiency. That the AI and robots can do all the stuff we don't enjoy (boring admin work, data entry, driving taxis, etc) and free us up to do everything else. That is surely true. But in reality, AI will soon be able to do EVERYTHING. Including the one thing everyone assumes is safe: human connection. In the next few years, we will all have Digital Employees and maybe even friends and therapists who, for all intents and purposes, will be Digital People. Somebody on Slack, who joins your Zoom and appears as a woman sitting at their desk, chatting casually with the team, making jokes, and taking notes. Someone who can look you in the eyes and emote. Someone you can call up to brainstorm, then ask to meet with the rest of the team to drive things forward. Who, if you didn't know she was AI, you'd assume was just a super smart person working remotely. We all think prompting is key. That it's the new coding. But we're in the command line interface stage of AI. Soon, prompting will just be a conversation—just as we prompt our team at work. Need financial reporting? Your AI accountant will synthesize data from all your systems in real-time – no more monthly closes or waiting for reports. They'll continuously analyze your cash flow, predict upcoming shortfalls, and proactively suggest optimization strategies based on industry benchmarks and your specific business patterns. Want to create an ad campaign? Your AI director will generate multiple concepts live, complete with storyboards and test footage. They'll analyze your target demographics, predict engagement metrics, and even estimate how each version might affect your sales. Trying to rethink your business model? Forget McKinsey, you'll hire an AI management consultant. They'll do what management consultants do: pick your pocket watch to tell you the time. Ask you a zillion questions, request you send them a bunch of data, and ask you to give them access to all your systems. In 72 hours, they'll accomplish what would take McKinsey 6 months and cost you millions. They'll have a change management plan rolled out across your company, individually meeting with every single employee using genius-level psychology and incentives to motivate them to implement their plan. Feeling blue? You'll do a video chat with your AI therapist. They'll be PhD-level in not only psychology, but psychiatry, medicine, and all other modalities that could be affecting your mental health. Or maybe even a digital friend who is deeply empathetic and can make you laugh harder than any standup comedian. The list goes on. Are you hearing me? If I'm even half correct, most knowledge/white-collar work as we know it is gone. So, what's left? What's safe? What about physical skills that took decades to master - surely the trades are immune? I hear it all the time from blue-collar business owners: AI doesn't keep me up at night. Well, it should. Sure, there will still be jobs in the trades, home services, and retail for the foreseeable future. But will the businesses be as profitable? And will wages continue to be as high as they are? I don't think so. The AI steamroller is coming for blue-collar and Main Street business owners too. Why? Because business is all about competition. Right now, trades like HVAC, local retail shops, and personal services are profitable for one reason: limited supply. There aren't enough technicians, qualified staff, or entrepreneurs in these fields. High demand, low supply – owners take the spread. But where do laid-off white-collar workers go? Think about these people - the ones who followed society's blueprint perfectly. Top universities, crushing student debt paid off diligently, grinding through prestigious internships, climbing the corporate ladder exactly as they were told. The MBAs, the consultants, the middle managers who picked the safe path. The corporate lawyers who spent a decade in school. The accountants who collected every certification. They did everything right. Good schools, good grades, safe careers. The responsible choices. And suddenly, they're holding worthless credentials in industries that no longer need humans. These millions of educated, ambitious people aren't just going to disappear. They're going to pivot hard into whatever fields they think AI can't touch. And that brings us to traditional blue-collar jobs. As they flood in, bringing their education and capital, they create massive competition and margins collapse. Of course, this disruption will take time—retraining as an HVAC technician doesn't happen overnight—but a flood of new labour to these job markets seems inevitable. The jobs themselves will survive. Just as Jevons Paradox shows that increased efficiency can drive higher consumption, cheaper services mean more demand. Because it will become cheaper, we might all do more renovations, have more ornate landscaping, get more frequent haircuts, and do more extensive home upgrades. Maybe you'll finally build that outdoor kitchen, or get weekly massages instead of monthly ones, or hire regular cleaning services instead of doing it yourself. But business owners won't see the same profits. More competition means better prices for consumers but razor thin margins for businesses. Just like restaurants, hair salons, and convenience stores - industries where intense competition has created a brutal reality: long hours, thin margins for owners, and modest wages for workers despite the essential nature of their services. And what if we add robotics into the mix? @elonmusk claims Tesla's Optimus humanoid robot will be in production by 2026 (Elon admits he's usually too aggressive on timelines, so call it 2028-29). Pair that with superintelligent AI, and suddenly manual labor may not be safe either. To be clear, many roles that require a delicate human touch—those involving nuanced physical manipulation, intricate interpersonal dynamics, and deep empathy—may be less susceptible to automation. But roles that today require deep trust—think therapists, doctors, consultants, lawyers, financial advisors—aren't necessarily immune to AI over the long term. And what will that long term future be like? Incredible for humanity But in the short term? Bumpy. Very bumpy. As an investor, I feel like I'm evaluating sand castles on a beach with an unpredictable tide. Some castles are built higher than others. Some will survive. But the tide is far less predictable than it was last decade. On the flip side, as a person, entrepreneur, and consumer, I welcome our new AI overlords. These are exciting times. Most goods and services will become abundant and cheap. And good medical care, legal advice, education, and mental health support (among many other things), will effectively become free for everyone. Once AI reaches human-level intelligence, scientific progress won't just accelerate - it will explode exponentially as each breakthrough immediately compounds into the next. I believe, if we achieve AGI (human level intelligence), and then ASI (super intelligence), it will likely solve climate change, extend human lifespan, and cure diseases at an unimaginable speed. This is an insanely exciting future that we are about to enter. I can't wait. But there's a catch. There's a gap. A trough of sorrow between today and that abundant future. Whether it's UBI, new economies, or a Star Trek-style post economic world – this transition will take time. In the near term (next 5 years), we are facing 20-30% job disruption. Maybe more. Remember the Great Depression? At its peak, the US reached 25% unemployment. That meant successful people in homeless camps. Bread lines. Society on the brink. And that only lasted a year before employment spiked again. So how do we protect ourselves from this unprecedented disruption? This is where hedging comes in. There's a quote I love by Andy Grove, the longtime chairman of Intel: Only the paranoid survive I was born paranoid. It's the way I'm wired. I always think about the downside. In any deal I do, I'm asking myself how could this go wrong or what action could I take to de-risk this. And while it makes me less happy day-to-day, it has made me a better investor. Over the last year, I've spent an unimaginable amount of time pondering this stuff and considering where it might lead and planning for this potentially bumpy future. These are the steps I'm taking to insulate myself. Throughout my various businesses, I'm realigning around what's coming: - Improving margins by automating roles - Training our teams on the latest tools - Examining our unique data assets - Focusing on brand, switching cost, and network effect moats - Underwriting deals far more conservatively I still feel great about many of the businesses we own - people will continue to DJ at weddings and clubs, drink coffee, watch and talk about films, and make and sell goods. We own many businesses that will benefit in this future. But I've become way, way more conservative. Over the past year, we've passed on dozens of businesses that we previously would have jumped on. The AI risk was just too high. Far too many tech companies are just databases with a nice interface — ripe for LLM and agent disruption. Without a network effect or hardware lock-in, most software is up for grabs. What previously required millions in R&D and can now be vibe coded by some college kid in a weekend. As with blue collar work, it's not like software ceases to exist. I just see it becoming a million times more competitive, driving margin compression, as the cost to build software goes to near zero. Outside of these best practices, I'm also looking for smart hedges - those little insurance policies that could pay off big if there's rapid adoption of AI. Here are a few ideas that could be opportunities for hedging: Self-driving vehicles: Full self-driving is already here. I use it 90% of the time in my Tesla, and their robotaxis are coming later this year. Trades I've considered: Long Tesla calls for robotaxi and Optimus upside, puts on Uber/Lyft as their networks become obsolete. Human longevity: AI could dramatically extend lifespans as it rapidly accelerates breakthroughs in medicine. Trade ideas: Long retirement home operators like Welltower/Ventas for sustained demand. Short annuity-heavy insurers like Prudential/Lincoln National whose actuarial assumptions break if people live longer. Compute and inference: The obvious plays - buy NVIDIA, ASML, and TSMC. Great companies but expensive multiples and premiums. Note that TSMC carries Taiwan risk. Datacenter infrastructure (my favorite): In January, I came across IREN ($IREN). They own massive datacenters with 1.4GW of power capacity coming online in Texas by 2026 - the kind of infrastructure AI companies desperately need. Currently they mine Bitcoin profitably, but here's the hedge: if AI compute demand explodes, these same facilities could be worth $20-40B based on typical datacenter multiples. Even if AI fizzles, they still have a profitable Bitcoin business and valuable power infrastructure in a world increasingly hungry for both compute and clean energy. Heads you win big on the AI boom (10-20x potential), tails you own scarce datacenter assets at a steep discount. For a more conservative bet, I also like MSFT and AMZN, who control massive amounts of computing power. Frontier models/other beneficiaries: You could buy secondary in Anthropic, https://t.co/4g9pvs09Zy or OpenAI, but the valuations are huge, positions are difficult to come by, and you're also betting on a winner (this is notoriously hard to predict). Another frontier play is simply to buy Google, which owns DeepMind/Gemini (the risk being that it bungles their AI rollout or their ads/search business gets decimated by ChatGPT). The other investment I've considered with a mix of exposure is Softbank. It holds some OpenAI and other AI businesses, owns 90% of ARM (whose chip designs are a small part of many critical AI components and GPUs), and is trading for roughly ⅓ of NAV (the risk there is its volatility/debt, as Masayoshi Son is known for wild bets). *Note: I own some of these stocks. This is not investment advice. On options and shorting: the market can remain irrational longer than you can remain solvent - be extremely careful with these strategies and size appropriately. Anyway, please consider my arguments and take the other side. Send this to the smartest people you know in AI and business. Roast me. I'm all ears. It could play out very differently. This could all go smoothly. Scaling laws could slow. I could even be the modern-day equivalent of a 1950's futurist predicting that, by 1990, we're all going to be living on the moon with robot butlers. I hope I look back and feel embarrassed, because it means that AI has gone much more smoothly than anticipated. Here are a few of the best arguments for why I could be off base: - We run out of useful training data - The power grid and/or compute can't keep up - Regulators, bureaucracy, and coordination problems slow adoption - A crisis in Taiwan halts the chip supply - Smarter AI delivers diminishing returns - Local models and inference (Apple Silicon/Nvidia) make datacenters irrelevant - Last Mile problems reduce job disruption These could all end up being the case. But just sit with this for a bit. Read some stuff and think about it. Before jumping down my throat, read/watch a few of these: Machines of Loving Grace by @darioamodei (blog - also check out his excellent interview from Davos in January on YouTube) Situational Awareness by @leopoldasch (blog) Wait But Why: The Artificial Intelligence Revolution (blog) Humans Need Not Apply by @cgpgrey (YouTube) Power and Prediction by @professor_ajay /Goldfarb/Gans (book) Supremacy by @parmy The Coming Wave by @mustafasuleyman Mull it over and let me know your thoughts. What if I'm right? Or even half right? Personally, I think it's worth considering the in-between times and having some fire insurance. Sure, maybe my timelines are wrong. Maybe they're too aggressive. Or too conservative. But the trajectory is clear: We're heading into uncharted territory at unprecedented speed and AI isn't waiting for us to be ready. AI doesn't progress linearly. It compounds exponentially. And unfortunately, our outdated grey goo hardware (brains) don't grok exponential curves very well. T-minus 918 days and counting until human brains turn into vinyl. Godspeed🫡
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- 峨眉山外围女模特
- 贵州外围
- 澳门外围
- 张掖外围女模特
- 龙港外围
- 原平外围女模特
- 蒙自外围
- 辽阳外围女模特
- 溧阳外围
- 山东外围
- 内江外围女模特
- 潍坊外围
- 瑞昌外围女模特
- 大连外围
- 眉山外围女模特
- 荥阳外围
- 荆州外围女模特
- 赤峰外围模特
- 楚雄外围女模特
- 温岭外围
- 成都外围女模特
- 高州外围女模特
- 丽水外围女模特
- 邹平外围
- 定西外围
- 公主岭外围女模特
- 河南外围模特
- 南宁外围
- 原平外围模特
- 宜昌外围模特
- 抚顺外围女模特
- 朝阳外围
- 永安外围女模特
- 共青城外围
- 肇东外围
- 兴义外围女模特
- 禹州外围女模特
- 扎兰屯外围女模特
- 海城外围女模特
- 曲靖外围模特
- 济宁外围
- 延吉外围女模特
- 尚志外围女模特
- 荣成外围模特
- 神木外围
- 丽水外围
- 安庆外围模特
- 浏阳外围
- 淮南外围女模特
- 梅州外围模特
- 白银外围
- 辽阳外围模特
- 铜川外围
- 德惠外围模特
- 新泰外围
- 阜阳外围
- 临海外围
- 盘锦外围模特
- 湛江外围模特
- 南充外围模特
- 靖西外围模特
- 长沙外围
- 资兴外围女模特
- 合山外围模特
- 青海外围
- 新沂外围女模特
- 黄冈外围
- 嵊州外围女模特
- 宜宾外围模特
- 威海外围
- 韶山外围模特
- 青岛外围
- 邵东外围模特
- 忻州外围女模特
- 凌海外围模特
- 吕梁外围
- 沈阳外围
- 晋江外围模特
- 京山外围模特
- 长葛外围
- 淮北外围模特
- 宿州外围女模特
- 东阳外围
- 苏州外围
- 衡阳外围模特
- 武汉外围
- 营口外围
- 揭阳外围女模特
- 句容外围女模特
- 东宁外围
- 怀化外围女模特
- 陆丰外围模特
- 永城外围模特
- 泰兴外围模特
- 淮南外围模特
- 阿尔山外围
- 葫芦岛外围模特
- 瓦房店外围
- 黄山外围女模特
- 晋中外围
- 临沧外围
- 汨罗外围女模特
- 大安外围模特
- 十堰外围模特
- 安丘外围
- 巴彦淖尔外围模特
- 湖北外围
- 五常外围女模特
- 阆中外围
- 宿迁外围模特
- 郴州外围模特
- 德兴外围女模特
- 日照外围女模特
- 内江外围模特
- 泉州外围女模特
- 黄骅外围
- 开封外围女模特
- 柳州外围女模特
- 桂林外围
- 嘉峪关外围女模特
- 北流外围女模特
- 长春外围模特
- 石首外围女模特
- 诸暨外围模特
- 深州外围女模特
- 常熟外围模特
- 澄江外围
- 大石桥外围
- 临夏外围模特
- 沁阳外围女模特
- 太仓外围
- 普洱外围
- 常宁外围
- 汕头外围模特
- 仙桃外围女模特
- 秦皇岛外围
- 景德镇外围
- 庆阳外围女模特
- 泰州外围
- 开原外围女模特
- 共青城外围女模特
- 龙海外围女模特
- 毕节外围模特
- 南平外围
- 松滋外围
- 赤壁外围模特
- 亳州外围模特
- 武冈外围
- 天水外围
- 腾冲外围模特
- 敦煌外围女模特
- 平泉外围模特
- 天门外围女模特
- 莱西外围女模特
- 汉川外围模特
- 崇左外围模特
- 古交外围
- 百色外围
- 高平外围女模特
- 莆田外围模特
- 南安外围
- 华阴外围
- 乐平外围女模特
- 乐陵外围
- 根河外围
- 霸州外围女模特
- 鹤壁外围模特
- 甘肃外围模特
- 吉安外围女模特
- 马鞍山外围模特
- 兰溪外围
- 汉中外围模特
- 龙岩外围
- 临湘外围女模特
- 永康外围
- 邓州外围模特
- 讷河外围
- 霍林郭勒外围女模特
- 枣庄外围女模特
- 龙井外围
- 鞍山外围女模特
- 大石桥外围模特
- 高密外围女模特
- 赤水外围模特
- 当阳外围女模特
- 浙江外围女模特
- 临清外围女模特
- 邢台外围模特
- 邯郸外围女模特
- 偃师外围模特
- 南京外围模特
- 尚志外围模特
- 池州外围
- 六安外围女模特
- 龙岩外围女模特
- 江门外围女模特
- 吉首外围女模特
- 桐城外围模特
- 诸城外围
- 承德外围
- 茂名外围模特
- 乐昌外围
- 商丘外围女模特
- 盐城外围女模特
- 乌鲁木齐外围
- 河间外围模特
- 江油外围模特
- 庐山外围
- 文山外围
- 崇州外围模特
- 江山外围
- 沈阳外围模特
- 潮州外围
- 淮北外围女模特
- 沧州外围女模特
- 邹城外围
- 云浮外围
- 鹤壁外围女模特
- 毕节外围
- 邵阳外围女模特
- 安庆外围女模特
- 胶州外围模特
- 丹江口外围
- 华蓥外围模特
- 凤城外围模特
- 汾阳外围女模特
- 台山外围模特
- 讷河外围模特
- 潮州外围模特
- 五常外围模特
- 常州外围模特
- 雅安外围
- 遵化外围模特
- 松原外围
- 甘肃外围女模特
- 河津外围模特
- 邳州外围
- 河池外围女模特
- 贵阳外围
- 乐平外围
- 莆田外围女模特
- 本溪外围
- 乐山外围
- 牙克石外围模特
- 天津外围
- 绥化外围模特
- 蓬莱外围
- 贵州外围模特
- 钦州外围
- 银川外围
- 韶山外围
- 丰城外围模特
- 河源外围
- 禹城外围女模特
- 常德外围模特
- 应城外围
- 资阳外围
- 龙口外围女模特
- 仁怀外围模特
- 四会外围
- 鹤壁外围
- 利川外围模特
- 瓦房店外围女模特
- 乌兰察布外围
- 昌邑外围模特
- 香格里拉外围女模特
- 兴城外围女模特
- 乌兰浩特外围女模特
- 邵阳外围模特
- 佛山外围
- 新乐外围模特
- 天长外围女模特
- 湘乡外围
- 宜春外围女模特
- 济宁外围女模特
- 张家口外围
- 沅江外围女模特
- 铜川外围女模特
- 韶山外围女模特
- 铁岭外围女模特
- 南阳外围
- 宜昌外围女模特
- 冷水江外围模特
- 上海外围
- 陕西外围女模特
- 荆门外围
- 义乌外围
- 眉山外围
- 吉安外围模特
- 邵武外围
- 义乌外围女模特
- 湘乡外围女模特
- 百色外围模特
- 南宁外围模特
- 龙港外围模特
- 漳州外围
- 黄石外围女模特
- 都匀外围
- 山西外围模特
- 永济外围模特
- 南昌外围模特
- 永州外围女模特
- 双鸭山外围
- 彭州外围女模特
- 邹城外围模特
- 信阳外围
- 衡阳外围女模特
- 上海外围模特
- 洪湖外围模特
- 海宁外围
- 伊春外围女模特
- 西昌外围模特
- 永康外围模特
- 黑河外围模特
- 赤水外围女模特
- 汉川外围
- 泰安外围
- 重庆外围模特
- 平凉外围模特
- 广水外围
- 栖霞外围
- 射洪外围女模特
- 芜湖外围
- 商丘外围
- 兴化外围女模特
- 酒泉外围模特
- 平凉外围女模特
- 新民外围女模特
- 贵阳外围女模特
- 瑞丽外围女模特
- 新乐外围女模特
- 平凉外围
- 浏阳外围模特
- 龙港外围女模特
- 泊头外围模特
- 巢湖外围女模特
- 额尔古纳外围模特
- 陕西外围模特
- 抚州外围女模特
- 安陆外围女模特
- 大理外围
- 乌兰察布外围模特
- 图们外围
- 晋州外围模特
- 霍林郭勒外围模特
- 张家港外围
- 巴彦淖尔外围女模特
- 怀仁外围
- 汾阳外围
- 靖江外围女模特
- 安陆外围
- 恩施外围模特
- 银川外围女模特
- 珠海外围
- 福鼎外围模特
- 信阳外围模特
- 邢台外围女模特
- 潜山外围女模特
- 开封外围模特
- 宁德外围模特
- 耒阳外围模特
- 调兵山外围模特
- 麻城外围女模特
- 石首外围模特
- 启东外围模特
- 万宁外围模特
- 侯马外围模特
- 商丘外围模特
- 常宁外围女模特
- 福泉外围模特
- 绵阳外围
- 张家界外围模特
- 扬中外围
- 兴平外围
- 弥勒外围女模特
- 麻城外围
- 平湖外围
- 长葛外围模特
- 温岭外围模特
- 乌海外围
- 五指山外围女模特
- 宁国外围
- 宜都外围女模特
- 梅河口外围女模特
- 西宁外围
- 嘉兴外围模特
- 牡丹江外围
- 抚州外围模特
- 资兴外围模特
- 齐齐哈尔外围
- 扶余外围女模特
- 孝感外围女模特
- 天长外围
- 广安外围女模特
- 亳州外围
- 遂宁外围模特
- 贺州外围模特
- 三沙外围模特
- 海东外围女模特
- 句容外围模特
- 香格里拉外围
- 定州外围女模特
- 永济外围
- 海东外围模特
- 韩城外围
- 榆树外围模特
- 漳平外围女模特
- 贵阳外围模特
- 岑溪外围模特
- 晋中外围模特
- 临汾外围女模特
- 宣威外围女模特
- 海城外围模特
- 海阳外围
- 晋州外围
- 双辽外围
- 密山外围模特
- 宁波外围模特
- 四川外围模特
- 泰兴外围女模特
- 松原外围女模特
- 长垣外围模特
- 广水外围女模特
- 凌海外围
- 靖江外围模特
- 北海外围
- 抚远外围模特
- 磐石外围
- 濮阳外围女模特
- 永城外围女模特
- 大庆外围
- 扬中外围女模特
- 铜仁外围模特
- 任丘外围模特
- 余姚外围女模特
- 漳州外围女模特
- 金华外围女模特
- 葫芦岛外围女模特
- 德阳外围
- 平湖外围女模特
- 连云港外围女模特
- 凌源外围女模特
- 北票外围女模特
- 登封外围
- 阳春外围女模特
- 霍州外围
- 淄博外围模特
- 随州外围模特
- 珲春外围女模特
- 德州外围女模特
- 曲靖外围
- 凌源外围
- 韩城外围女模特
- 河北外围
- 余姚外围模特
- 冷水江外围女模特
- 山西外围
- 邢台外围
- 什邡外围
- 涿州外围
- 东营外围
- 新沂外围
- 抚远外围
- 东台外围女模特
- 莱州外围女模特
- 聊城外围模特
- 咸阳外围女模特
- 图们外围模特
- 湖州外围
- 三门峡外围女模特
- 随州外围
- 毕节外围女模特
- 涟源外围
- 海伦外围
- 济南外围
- 万宁外围女模特
- 兰州外围女模特
- 安阳外围
- 鄂尔多斯外围模特
- 广西外围模特
- 额尔古纳外围
- 玉溪外围模特
- 南阳外围女模特
- 任丘外围
- 北票外围
- 兴化外围
- 瑞丽外围
- 中山外围模特
- 高密外围
- 惠州外围模特
- 舞钢外围
- 潍坊外围女模特
- 开平外围
- 湛江外围
- 东宁外围模特
- 额尔古纳外围女模特
- 集安外围模特
- 大同外围模特
- 海宁外围女模特
- 贺州外围女模特
- 舒兰外围女模特
- 肇庆外围模特
- 东兴外围女模特
- 湖州外围模特
- 达州外围女模特
- 扎兰屯外围模特
- 巴中外围
- 乐平外围模特
- 延安外围女模特
- 文山外围模特
- 二连浩特外围女模特
- 南充外围女模特
- 古交外围女模特
- 寿光外围模特
- 东莞外围
- 福州外围模特
- 十堰外围女模特
- 潜江外围女模特
- 信宜外围
- 东方外围模特
- 安阳外围模特
- 兰州外围
- 忻州外围模特
- 咸阳外围
- 枝江外围
- 青海外围女模特
- 台州外围女模特
- 邓州外围
- 大连外围女模特
- 二连浩特外围模特
- 新密外围模特
- 菏泽外围模特
- 利川外围女模特
- 郴州外围
- 启东外围女模特
- 邵武外围女模特
- 漯河外围
- 兴平外围模特
- 高邮外围
- 天津外围模特
- 沈阳外围女模特
- 澄江外围模特
- 邹平外围女模特
- 个旧外围模特
- 萍乡外围女模特
- 偃师外围
- 绥化外围
- 佛山外围模特
- 济源外围
- 镇江外围
- 神木外围女模特
- 渭南外围模特
- 高邮外围女模特
- 茂名外围
- 泸水外围女模特
- 什邡外围模特
- 沙河外围
- 漯河外围女模特
- 昆山外围模特
- 保定外围女模特
- 莱阳外围
- 马尔康外围女模特
- 泸州外围
- 广汉外围模特
- 安丘外围女模特
- 鞍山外围
- 厦门外围模特
- 宜兴外围模特
- 平顶山外围
- 福泉外围
- 阳泉外围
- 大安外围女模特
- 荣成外围女模特
- 蓬莱外围模特
- 济源外围女模特
- 海东外围
- 福建外围模特
- 新余外围女模特
- 湖南外围
- 天津外围女模特
- 阜阳外围模特
- 宣威外围模特
- 老河口外围模特
- 绵阳外围模特
- 临湘外围
- 汕头外围
- 赣州外围女模特
- 昭通外围模特
- 大冶外围
- 南昌外围女模特
- 临沧外围模特
- 黑河外围女模特
- 兴宁外围女模特
- 潜山外围
- 安徽外围模特
- 遵化外围
- 济南外围女模特
- 邵东外围
- 讷河外围女模特
- 海阳外围模特
- 邵武外围模特
- 和龙外围模特
- 白城外围女模特
- 柳州外围
- 都江堰外围女模特
- 扬州外围模特
- 昆明外围女模特
- 龙泉外围
- 天水外围女模特
- 许昌外围女模特
- 大同外围
- 呼和浩特外围模特
- 沙河外围女模特
- 许昌外围模特
- 珲春外围
- 江西外围女模特
- 洮南外围模特
- 介休外围
- 仪征外围女模特
- 楚雄外围
- 林州外围女模特
- 绍兴外围
- 商洛外围模特
- 安宁外围模特
- 怀化外围
- 北海外围模特
- 武夷山外围模特
- 开平外围女模特
- 承德外围女模特
- 曲阜外围女模特
- 瑞安外围
- 长垣外围女模特
- 迁安外围女模特
- 铜仁外围
- 汉中外围女模特
- 晋州外围女模特
- 萍乡外围模特
- 射洪外围
- 桐乡外围模特
- 西安外围女模特
- 四川外围女模特
- 三亚外围模特
- 肥城外围女模特
- 湘乡外围模特
- 宁国外围女模特
- 马尔康外围模特
- 丰镇外围模特
- 共青城外围模特
- 鄂尔多斯外围女模特
- 恩施外围女模特
- 驻马店外围
- 运城外围女模特
- 上饶外围
- 泊头外围女模特
- 海口外围模特
- 丽江外围模特
- 南充外围
- 咸宁外围女模特
- 临汾外围模特
- 瓦房店外围模特
- 南平外围女模特
- 荆门外围模特
- 迁安外围模特
- 石首外围
- 穆棱外围
- 宁波外围女模特
- 东营外围女模特
- 林州外围模特
- 罗定外围
- 兴宁外围
- 海口外围女模特
- 定西外围女模特
- 丹东外围
- 瑞安外围女模特
- 彬州外围女模特
- 呼伦贝尔外围模特
- 合肥外围女模特
- 松滋外围模特
- 广东外围
- 遵义外围
- 安顺外围模特
- 淮安外围女模特
- 韶关外围
- 洪江外围
- 建瓯外围
- 兴城外围模特
- 乳山外围女模特
- 七台河外围女模特
- 阳泉外围女模特
- 蒙自外围女模特
- 平湖外围模特
- 肇东外围女模特
- 诸暨外围女模特
- 吉首外围模特
- 滁州外围模特
- 靖江外围
- 濮阳外围
- 临海外围模特
- 廊坊外围女模特
- 赣州外围模特
- 三河外围女模特
- 延安外围
- 六盘水外围模特
- 武威外围
- 岑溪外围
- 蚌埠外围
- 扎兰屯外围
- 瑞安外围模特
- 琼海外围女模特
- 禹州外围
- 盘州外围女模特
- 同江外围
- 三河外围模特
- 内江外围
- 临沂外围
- 京山外围
- 武穴外围
- 新余外围模特
- 呼和浩特外围
- 北流外围模特
- 化州外围
- 龙海外围
- 鹤岗外围模特
- 东阳外围模特
- 清镇外围模特
- 安陆外围模特
- 灯塔外围模特
- 舞钢外围女模特
- 佳木斯外围女模特
- 云南外围
- 鹰潭外围女模特
- 河池外围
- 无锡外围
- 彬州外围
- 儋州外围女模特
- 海伦外围女模特
- 抚远外围女模特
- 兴仁外围模特
- 建德外围模特
- 厦门外围女模特
- 洛阳外围模特
- 武夷山外围女模特
- 鹰潭外围
- 唐山外围模特
- 吴川外围模特
- 盖州外围女模特
- 湘潭外围
- 辛集外围模特
- 遂宁外围女模特
- 什邡外围女模特
- 阳江外围女模特
- 四会外围模特
- 淮安外围
- 安国外围女模特
- 灵宝外围
- 无为外围女模特
- 漠河外围女模特
- 济南外围模特
- 舟山外围女模特
- 禹城外围
- 大庆外围模特
- 株洲外围女模特
- 九江外围女模特
- 合肥外围
- 东台外围模特
- 仁怀外围女模特
- 杭州外围
- 广元外围模特
- 江苏外围模特
- 华阴外围女模特
- 通化外围
- 日照外围
- 东兴外围
- 株洲外围
- 泰安外围女模特
- 义马外围
- 云浮外围模特
- 楚雄外围模特
- 张家界外围女模特
- 西安外围
- 滁州外围
- 富锦外围
- 河南外围女模特
- 延吉外围
- 锡林浩特外围模特
- 康定外围女模特
- 河池外围模特
- 酒泉外围女模特
- 石家庄外围模特
- 滨州外围
- 常德外围
- 昭通外围
- 广东外围女模特
- 抚州外围
- 营口外围模特
- 成都外围模特
- 东莞外围女模特
- 彭州外围模特
- 绥芬河外围
- 当阳外围模特
- 宜城外围模特
- 西安外围模特
- 吉林外围女模特
- 阆中外围女模特
- 平果外围
- 佳木斯外围
- 侯马外围女模特
- 本溪外围女模特
- 子长外围模特
- 河间外围女模特
- 长治外围模特
- 凯里外围
- 聊城外围
- 北镇外围
- 玉林外围模特
- 许昌外围
- 锦州外围女模特
- 辽宁外围
- 江油外围
- 钟祥外围女模特
- 新乐外围
- 临清外围
- 潜江外围模特
- 韶关外围女模特
- 绍兴外围女模特
- 扬州外围
- 当阳外围
- 腾冲外围
- 泰州外围模特
- 韶关外围模特
- 白山外围女模特
- 鞍山外围模特
- 隆昌外围
- 云浮外围女模特
- 江阴外围女模特
- 金昌外围模特
- 福建外围女模特
- 仪征外围模特
- 湖北外围模特
- 延安外围模特
- 仪征外围
- 吴川外围女模特
- 怀化外围模特
- 化州外围模特
- 香格里拉外围模特
- 防城港外围女模特
- 莱西外围
- 五指山外围
- 襄阳外围女模特
- 安宁外围女模特
- 靖西外围女模特
- 简阳外围
- 海南外围
- 辉县外围女模特
- 汝州外围模特
- 玉林外围女模特
- 安庆外围
- 舒兰外围模特
- 盘州外围
- 河津外围
- 丹阳外围模特
- 新余外围
- 霍州外围模特
- 兰溪外围女模特
- 高平外围模特
- 邹城外围女模特
- 松原外围模特
- 广水外围模特
- 灯塔外围
- 岳阳外围女模特
- 廊坊外围
- 梅河口外围模特
- 海阳外围女模特
- 德州外围
- 福州外围女模特
- 龙泉外围女模特
- 包头外围模特
- 丰城外围
- 安丘外围模特
- 珠海外围模特
- 齐齐哈尔外围模特
- 双辽外围模特
- 铜陵外围
- 内蒙古外围模特
- 汾阳外围模特
- 新郑外围模特
- 禹城外围模特
- 金华外围模特
- 定州外围模特
- 黄骅外围女模特
- 子长外围女模特
- 香港外围
- 三明外围模特
- 龙海外围模特
- 丰镇外围女模特
- 泉州外围模特
- 高安外围女模特
- 孝义外围
- 临夏外围女模特
- 安国外围模特
- 宜城外围
- 贵溪外围
- 无锡外围女模特
- 临江外围模特
- 南宁外围女模特
- 绵阳外围女模特
- 庆阳外围模特
- 集安外围女模特
- 偃师外围女模特
- 钟祥外围
- 宜宾外围
- 新民外围
- 武安外围女模特
- 聊城外围女模特
- 深圳外围
- 兴义外围
- 太原外围女模特
- 南通外围模特
- 舟山外围
- 湖州外围女模特
- 淮南外围
- 鸡西外围模特
- 荆州外围模特
- 凌源外围模特
- 北票外围模特
- 重庆外围
- 孟州外围女模特
- 平度外围
- 福安外围女模特
- 临海外围女模特
- 双鸭山外围女模特
- 齐齐哈尔外围女模特
- 绵竹外围模特
- 平果外围模特
- 陇南外围模特
- 京山外围女模特
- 临汾外围
- 荥阳外围模特
- 庄河外围女模特
- 儋州外围
- 德兴外围
- 寿光外围
