Ricardo
@Ric_RTP • 48,391 subscribers
Private content partner to finance & tech founders | $50M+ in value generated for 35+ clients | I like to share my honest thoughts, don't take it personally
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Elon just confirmed how long every working human has left before the robots take over. "AI will probably increase the global economy by 20 to 30%. That's my rough estimate. Meaning, on the order of 20 to 30 trillion per year." So that's a second United States economy appearing out of thin air, EVERY single year. And Elon's whole point is that the machines produce it, not the people. He even gave us the exact date for the digital half: "AI will be able to do anything digital, anything that does not require the shaping of atoms by hand, by the end of next year." By the end of next year... And on software specifically: "It's going to be impossible for a human to compete in writing software with AI." So every coder, every analyst, every job that lives on a screen is on a 12 to 18 month timer, straight from the richest man alive. But that's only the part that runs on electricity. And this is where it gets crazy... "There will be at least a billion robots in 10 years, and each will produce at least five times the output of a human." "The billion humanoid robots will be more productive than all humans combined." A billion machines, out-working ALL 8 billion of us. And he put a deadline on it: 10 years. And he even called that estimate small. So the version where robots out-produce the entire human race is the number he treats as safe. He said he'd bet serious money on it. But how does a billion of anything get built that fast? Robots building robots building robots. It starts slow and then it goes vertical. That’s how a few thousand becomes a billion. Elon also explained his own formula for how useful a robot actually is. He said it's the quality of the AI software, times the quality of the AI chip, times the dexterity of the hands. Software and chips are the exact things Elon and Nvidia have spent a decade making exponential. The third one is the hand. And the hand is the thing robotics has been stuck on for 40 years. A machine can crush the best human alive at chess and still can't pick a strange object off a messy table the way a toddler can. Grip, pressure, touch, knowing how hard to squeeze. That problem has barely moved while everything digital went vertical. The thing he named as the hard part is the exact thing his whole 10 year number depends on. So it all comes down to one variable, and it's the slowest-moving one in the entire machine: The robot hand. The brain is basically solved. The fingers have to catch up to it this decade, at planetary scale. Now to be fair, this is also where the most money on Earth is pointed right now. Tesla and a dozen others are throwing everything at exactly this problem. Elon's software calls tend to land but his atoms calls tend to fail. Because anything physical always takes longer than anything digital. He's also made this exact robot call before with wildly different numbers, 10 billion of them by 2040 in one speech, five per human in another. So here's the real question: Do you believe robot hands get solved inside 10 years? Because that one bet is the core of Elon‘s prediction. Everything else already came true.
Ricardo422,935 次观看 • 2 天前
In 19 days, a jury in Oakland is going to decide whether the entire legal foundation of the AI industry is built on fraud. Everyone thinks the Musk vs Altman lawsuit is a billionaire grudge match. Two egos, one grudge, a $150 billion damages number designed for headlines. Easy to dismiss. Easy to scroll past. That's exactly what Altman wants you to think. Because what's actually on trial on April 27 is something much BIGGER than Elon's hurt feelings... A jury is going to decide whether you can legally take billions of dollars in nonprofit donations, use them to build the most valuable technology in human history, and then quietly convert that nonprofit into a for-profit company worth $850 billion. If the answer is no, the entire AI industry has a problem. Because OpenAI is not the only company that did this: Anthropic was founded by OpenAI defectors using the same nonprofit-first mission language. xAI pitches itself as building AI "for humanity." Every frontier lab has used the moral cover of "we're doing this for the good of the world" to attract talent, capital, and regulatory goodwill they would have never gotten otherwise. An Elon win doesn't just touch OpenAI. It creates a legal precedent that every AI company built on a nonprofit or public benefit promise becomes vulnerable to shareholder and donor clawback suits. That's why this case matters. And that's why Altman is panicking. Just look at what he did this week: Elon filed a motion demanding the court remove Altman and Brockman from their roles and FORCE OpenAI to return to its nonprofit origins. Then he amended the suit to say if he wins the $150 billion, all of it goes to OpenAI's charity arm. Not him. Zero dollars to Elon personally. That amendment was surgical. It stripped Altman of his entire public defense. He can no longer claim this is about Elon's ego or Elon's bank account. Elon is now legally on record saying he just wants the mission back. OpenAI's response was to panic-write a letter to the California and Delaware attorneys general asking them to investigate Elon for "anti-competitive behavior." Their strategy chief publicly accused Elon of coordinating attacks with Mark Zuckerberg. They called the lawsuit "harassment driven by ego and jealousy." That's NOT the response of a company that thinks it's going to win. Real companies with real defenses don't ask the government to silence the person suing them 3 weeks before trial. They let the evidence speak. OpenAI is scrambling because they know what's in discovery. Elon's team has been building this case for two years. Emails, board minutes, internal conversations about the conversion. The kind of paper trail that juries understand and executives can't explain away. And the timing couldn't be worse... OpenAI is trying to IPO at $852 billion. They just raised $122 billion. Microsoft has $135 billion of exposure to them. A jury verdict that even partially sides with Elon in late April or May would crater the entire IPO runway and send shockwaves through every major AI investor on Earth. This is why Altman spent the last 2 weeks doing press tours and policy blueprints and "super intelligence agendas" aimed at Washington. He's trying to REFRAME himself as the responsible statesman of AI right before a jury decides if he's a con artist. Most people will watch this trial start and think it's celebrity drama. The smart money is watching it and realizing that the legal foundation of the AI boom is about to be tested in court for the first time EVER. And if that foundation cracks, everything built on top of it is at risk.
Ricardo27,881,952 次观看 • 4 个月前
Palantir's CEO just exposed Sam Altman and Dario Amodei for robbing every Fortune 500 company. Within two minutes, Alex Karp took the entire frontier AI industry apart on national television. His exact words: "Every single enterprise in this country, these people are LIVID. They are paying for tokens that create no value. These people are stealing the weights and alpha of my business." He literally said the entire frontier AI business model is intellectual property extraction dressed up as a subscription. Then he also destroyed the pricing model with a single question that Silicon Valley still refuses to answer: "If it was so valuable, let's say I can make you $1 billion tomorrow. Wouldn't I say I'll make you $1 billion and I want 30 percent? Why are they charging for tokens if it's so valuable?" That question breaks the industry. If OpenAI and Anthropic's models truly delivered the productivity gains the labs claim, they would take equity or a share of the profit they generate. They would not sell access by the million tokens. Token pricing is itself the CONFESSION that the product cannot produce reliable value at scale. If it did, they would price for the value. But they price for the compute because that is what they are actually selling. Karp went even further... He called the entire arrangement "a wealth tax that does not help the poor. It just punishes." American businesses are transferring the alpha of their operations, meaning the workflows, the customer data, the strategy memos, the internal models that make them competitive, directly into the training pipelines of a handful of Silicon Valley labs. Once those labs retrain, the customer's own edge becomes the next enterprise product sold back to their competitors. And the part the AI industry does not want anyone thinking about: Every enterprise running its confidential documents, its customer conversations, and its financial models through a frontier model is potentially teaching that model HOW to replace them. The vendor collects the token fee AND the compounding intelligence about that customer's business. That is the mechanism. And that is why Karp used the word "stealing." He claims this is why every executive he meets is furious in private and silent in public. Nobody wants to be the CEO who called out the labs and then discovered their next competitor was built on their own leaked workflows. The entire AI industry has been priced for perfection on one assumption: That frontier labs produce durable, defensible value that justifies infinite compute spend. But Karp just told us that the customers do not believe that assumption anymore. They believe they are being taxed without benefit, watched without consent, and copied without recourse. The moment enterprises stop believing, the whole valuation stack shakes.
Ricardo2,915,649 次观看 • 2 个月前
This man stole a country from his own father and spent the next 18 years buying the West with gas money. - He deposed his own dad in a palace coup and left him in exile for nearly a decade - He founded the news network that aired Osama bin Laden's tapes - He built America's largest military base in the Middle East and charges no rent for it - He bought Harrods, the Shard, Canary Wharf, Paris Saint-Germain and 17% of Volkswagen - He won the 2022 World Cup for a country with no football history Sheikh Hamad bin Khalifa Al Thani died this morning at 74. Here's how bought the world: In June 1995, he waited for his father to leave the country, then took the throne. The coup was bloodless. His father spent nearly a decade in exile. Qatar is about one third the size of Belgium, and its population was barely two million, most of them foreign workers. But it was sitting on one of the LARGEST natural gas reserves on Earth. He bet everything on liquefied natural gas. Qatar became the world's biggest LNG exporter and one of the richest countries alive per person. Then he hit the problem every commodity business hits: Gas is gas, anyone with a tanker can sell it, and a tiny country with no army and that much money is a snack for its neighbours. So he bought two things nobody else in the Gulf thought to buy... The first was the world's attention. In 1996 he issued a decree and Al Jazeera was born. Within a few years it was the most influential news network in the Arab world. He owned the loudest microphone in the region and never had to speak into it himself. The second was the American military. In 1996, Qatar spent over a billion dollars building an air base at Al Udeid, outside Doha. It got the longest runway in the Gulf and shelters for nearly a hundred aircraft. Qatar's air force only had about a dozen fighter jets. In 1999 he reportedly told US officials he wanted 10,000 American servicemen stationed there permanently. Then 9/11 happened, and they came. The genius part: Al Udeid is now the forward headquarters of US Central Command and the largest American base in the Middle East, with roughly 10,000 troops. Qatar charges no rent. He built the asset before the customer existed, handed it over free, and bought the one thing cash cannot: The US military parked permanently between his gas and everyone who wanted it. The network broadcasting bin Laden and the runway flying America's war sat in the same tiny country, paid for by the same man. Then he went shopping... He set up the Qatar Investment Authority in 2005: - Harrods - The Shard - Canary Wharf, London's largest property owner, bought with Brookfield for 2.6 billion pounds - 17% of Volkswagen - Paris Saint-Germain All his. In 2017 the Telegraph ran the headline "Qataris own more of London than the Queen." Then 2008 arrived. Barclays needed billions or the British government was going to own it. Qatar wrote the cheque and its stake climbed to 12.7%. Barclays was later charged over how it disclosed that Qatari money. In 2010, FIFA handed the 2022 World Cup to a desert country with NO football history. Corruption allegations shadowed the bid for over a decade, and the treatment of the migrant workers who built it drew brutal criticism. Yet he walked into the opening match in 2022 and the stadium gave him a standing ovation. Every other Gulf state was selling the same molecule at the same price. Hamad spent his money on a newsroom, a runway, a football club and half of London. A country of two million now brokers hostage deals and hosts American presidents. He built all of it in 18 years, and he took the throne from his own father to start. Truly an unmatched legacy.
Ricardo2,151,278 次观看 • 1 个月前
Microsoft just banned its own engineers from using AI. The tool was literally costing MORE than the humans it was supposed to replace. They lied to you about AI adoption and now the whole narrative is blowing up: Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it. Engineers loved it and adoption exploded. But then the invoices arrived. Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead. The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much. Uber's story is even worse... Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April. Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems. Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session. The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money. Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote: "For my team, the cost of compute is far beyond the costs of the employees." This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans. Think about what this means for the entire AI narrative. Every CEO on every earnings call for the past two years has said the same thing: AI will make us more efficient, reduce headcount, and cut costs. The stock market rewarded every company that said it. Fired workers, stock goes up. Announced AI adoption, stock goes up. But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill. Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools. Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible. Both companies are spending hundreds of billions on AI infrastructure this year alone. And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control. The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP. This is the gap nobody on Wall Street is pricing in. $725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work. What do you think?
Ricardo2,973,582 次观看 • 3 个月前
Mark Zuckerberg is bankrupting a $22 billion startup because they refused to sell to him. The company is Kalshi. They run the largest prediction market in the US. Users bet real money on real-world outcomes. Last year, prediction markets did $28 billion in monthly volume across the industry. This month, they did $220 BILLION. The sector literally 8x'd in a single year. Bernstein now projects the entire prediction market industry will hit $1 TRILLION by 2030. Zuckerberg saw the growth curve coming. Last year, when Kalshi was valued at only $2 billion, he sat down with founder and CEO Tarek Mansour to discuss buying the entire company. Mansour said no. Kalshi went on to raise at $11 billion in December. Then $22 billion in March. It is now pursuing a $40 billion round and openly weighing an IPO. Zuckerberg's response: He walked back to Meta headquarters, took every piece of information he learned in that meeting, and directed a small internal team to build a Kalshi clone from the ground up. Meta's version is called Arena. It uses Llama to generate the questions. Every one of Meta's 3.5 billion daily users will get access. And here's where the plan gets ruthless... Meta is deliberately launching with play money. That single decision lets Zuckerberg dodge every gambling regulator on Earth while he trains billions of users to bet on prediction markets. Meanwhile Kalshi is spending millions fighting state gambling laws, the CFTC, an Illinois sports tax, a Minnesota felony statute, and the Department of Justice. Kalshi is the crash test dummy. Meta is the getaway driver. The moment the regulatory war is settled, Zuckerberg flips the switch. Arena becomes a real-money market, and 3.5 billion users are already trained to use it. Kalshi's user base of a few million cannot compete. This is the exact playbook Meta ran on Snapchat in 2016 when Instagram Stories launched. It is the exact playbook they ran on TikTok in 2020 when Reels launched. It is the exact playbook they ran on Twitter in 2023 when Threads launched. The FTC took Meta to court over this pattern last year and called it "buy or bury." The judge sided with Meta. So the playbook is legally protected. Tarek Mansour walked into a meeting with the most predatory copycat in tech history and gave him the entire pitch deck for the fastest growing product in Silicon Valley. Six months later, Zuckerberg is executing on that intel while Mansour is stuck defending his company in courts across America. Kalshi survived Zuckerberg's offer. But it probably will not survive Zuckerberg's clone. Meta ended Q1 with $81 billion in cash. That is enough to buy every prediction market company on Earth six times over. Zuckerberg is choosing to STEAL them instead because he can, and because the courts already gave him permission. The next 12 months will decide whether Kalshi becomes a $50 billion IPO or a cautionary tale about what happens when a founder says no to Meta. What do you think?
Ricardo1,469,824 次观看 • 2 个月前
This AI just exposed the BIGGEST legal insider trading operation in America. A platform called GovGreed built a seven-layer machine learning system that cross-references every stock trade disclosed by every sitting politician against the bills their committees control, the campaign donations they receive, and the companies their votes directly impact. It scored all 540 politicians currently in Congress. And the numbers are crazy: 56% of every stock purchase made by Congress in the last 16 months was on a stock directly affected by a bill the buyer later voted on. That is 6,170 out of 11,016 total purchases. More than HALF of all congressional stock buys are on companies whose fate that same politician is about to decide. 343 of 540 Congress members actively trade stocks while holding access to nonpublic legislative information. That is 63.8% of the entire legislature making market bets with an informational edge that would put any hedge fund manager in prison. The AI identified 752 active "Triple Signals" in the current Congress. A Triple Signal fires when three conditions line up at once: The politician sits on the committee controlling a bill, they traded stock in a company affected by that bill, AND they received campaign contributions from that same industry. Bills carrying these insider indicators pass at 5.4 TIMES the normal rate. Now look at the individual leaderboard: - Nancy Pelosi's estimated portfolio sits at $194 million with a Greediness score of 98.1 out of 100 - Ro Khanna made 13,231 trades across 800+ different tickers - Michael McCaul made 32,302 trades and filed 6,670 of them late - Thomas Suozzi filed 86.4% of his trades late with an average delay of 396 days, meaning his disclosures landed over a YEAR after he made the trade And then there is Lisa McClain, the fourth-ranking Republican in the House. She has made 1,443 trades in three years, more than 98% of all politicians tracked. She violated the STOCK Act twice in a single year, disclosing up to $900,000 in trades months after the legal deadline. Her husband bought up to $250,000 in Elon Musk's xAI, which quietly converted into SpaceX equity before last Friday's $2 trillion IPO. The penalty for all of this? A $200 fine. The number of Congress members ever prosecuted under the STOCK Act since it passed in 2012? Zero. And the cruelest part is this: A bill to ban congressional stock trading was introduced in January 2026. It has bipartisan support. Over 80% of American voters want it passed. But Congress is sitting on it, because the people who would have to vote yes are the same people making millions from the system staying exactly the way it is. They write the insider trading laws, they exempt themselves from enforcement, they trade on the information those laws generate, and when they get caught, they pay a fine that is basically nothing. The AI didn't discover anything Congress was hiding. It just organized what was already public into a pattern so obvious that nobody can pretend it isn't there anymore.
Ricardo1,797,737 次观看 • 2 个月前
Amazon just got caught running a secret price manipulation operation with Levi's, Home Depot, Walmart, and many more. Every time you "comparison shopped" online, you were looking at prices that were already rigged. Here's what happened: Amazon would monitor prices on Walmart, Target, Best Buy, Home Depot, and Chewy in real time. The second a competitor listed a product cheaper than Amazon, they'd contact the brand directly and tell them to "fix it." And the exact emails are now PUBLIC. Amazon sent Levi's links to two Walmart listings with the subject line "styles of concern." They basically said the prices on Walmart are too low and we have a problem. The next day, Levi's responded: "I talked to Walmart and they have partnered with us to take Easy Khaki Classic fit back up to ladder SPP price, $29.99 immediately." Levi's literally called Walmart and told them to raise the price. Because Amazon told Levi's to make the call. Walmart complied. Then Amazon matched the HIGHER price. Both retailers ended up charging more. The customer paid extra. Nobody competed. Same playbook with Hanes: Amazon sent them links showing Target and Walmart prices were lower. Hanes confirmed they "reached out to Target and Walmart to have the prices increased." Target increased the prices. Walmart increased the prices. Amazon kept their margins. But it gets even worse... Amazon told Allergan (the company that makes eye drops) that their product was "suppressed" on Amazon because it was cheaper on another site. Allergan responded: "Walmart got their price back up to $16.99." Amazon then unsuppressed the listing. They did this with pet treats on Chewy. Furniture on Home Depot. Products across dozens of categories spanning YEARS. The mechanism is simple but terrifying: If you're a brand and you sell cheaper on Walmart than on Amazon, Amazon suppresses your product, removes you from the Buy Box, buries you in search results, and effectively makes you invisible to 300 million customers. Brands can't afford that. So they call Walmart and Target and say "raise your prices or we'll lose our Amazon listings." Walmart and Target comply because they need the brand's products. Amazon captures 40 cents of every dollar spent online in America. That gives them the leverage to set prices across THE ENTIRE internet. Not just their own platform. So turns out, you were never comparison shopping. You were looking at a coordinated price floor set by Amazon through backroom phone calls between brands and their competitors. "Amazon is working to make your life more unaffordable." 3 separate antitrust trials are now scheduled for 2027. The FTC has its own case. 18 states plus the DOJ are piling on. This is literally happening during the WORST affordability crisis in a generation. Groceries up 25% since 2020. Housing unaffordable. Wages flat. And the largest ecommerce company on Earth has been secretly coordinating with brands to make sure you can't find a cheaper price ANYWHERE. "Competition" in retail is just a fantasy.
Ricardo2,927,223 次观看 • 4 个月前
OpenAI is falling apart right now. 9 of their most important leaders have left the company recently, and Altman is about to ask the public to buy the stock. 2 of them even walked out within 72 hours of OpenAI handing its own staff $7 billion in cash... On Monday, August 10, OpenAI completed a deal letting current and former employees sell roughly $7 billion worth of their shares. The price valued the company at $852 billion, the exact same number as its March funding round. On Tuesday, August 11, Brad Lightcap announced he was leaving after 8 years. He spent 4 of them as chief financial officer, then ran the company as chief operating officer from 2022 until April. He worked alongside Sam Altman at Y Combinator before OpenAI existed. On Thursday, August 13, chief revenue officer Denise Dresser announced she was leaving. She was hired in December from Salesforce, where she had been the CEO of Slack. In April she took over most of Lightcap's responsibilities. She lasted 8 months. The cash window opened Monday. By Thursday both executives who ran the business side were gone. But what's interesting is who actually wrote the $7 billion cheque: Every previous time OpenAI let its employees cash out, an outside investor bought the shares. In October, Thrive Capital, SoftBank and others put up $6.6 billion at a valuation near $500 billion. There was a $1.5 billion version of the same deal in 2024. This time OpenAI bought the shares back itself, using its OWN money. So no outside investor put a single dollar behind that $852 billion price. The company named its own number and then paid it. This is a business generating around $2 billion a month while losing roughly $1.22 for every single dollar it earns. And it just spent $7 billion of that cash buying its own stock at a number no third party ever tested. Here is the full list of the people who left since April: - Bill Peebles, who ran the Sora video app - Kevin Weil, vice president of OpenAI for Science - Srinivas Narayanan, technology chief of B2B applications - Kate Rouch, chief marketing officer - Josh Achiam, chief futurist, after nearly nine years - Johannes Heidecke, head of Safety Systems - Chloe Bakalar, the only person at OpenAI whose entire job was ethics - Brad Lightcap - Denise Dresser Bakalar left in July. OpenAI never announced it, and NOBODY has replaced her. Fidji Simo stepped down the same month, and two thirds of the organization had been reporting to her. Greg Brockman absorbed most of her job. He also introduced Dresser's replacement this week, a Wiz executive named Dali Rajic. OpenAI filed its IPO paperwork confidentially on June 8. The full prospectus, the one with audited financials in it, still has not appeared. So the order of operations is worth sitting with... File the paperwork in June. Buy your insiders out in August at a price you set yourself. Watch the people who built the commercial side leave that same week. Then show the public the books. Retail investors will see those numbers for the first time in a document written after every one of these people had already made their decision. Sam Altman told staff in June that he expects to go public within the next year. Reporting since then has pointed at 2027 instead, and a tender offer of this size is usually what a company does when the listing is not close. Here is what I think happens next: That prospectus lands with a revenue line big enough to carry the story, and the executive turnover gets buried in the risk factors where almost nobody reads. The people who priced OpenAI at $852 billion this month were the same people who took the money out of it; and the next set of buyers will not get that arrangement.
Ricardo354,540 次观看 • 20 天前
Trump just got exposed for running the biggest insider trading operation in American history. Nancy Pelosi traded $5 million in stocks and Congress lost its mind. Trump literally executed $750 MILLION worth of stock trades in ONE quarter while being President. His ethics filing just dropped and the numbers are genuinely unprecedented in history: Between January and March 2026, Donald Trump personally executed 3,700 individual stock transactions worth between $220 million and $750 million. That's roughly 60 trades PER DAY. While signing executive orders, meeting foreign leaders, and making policy decisions that directly impact the companies he's buying and selling. Now here's where it gets really insane: On February 10, Trump bought between $1 million and $5 million worth of Dell stock. Three months later, on May 8, he stood at a Mother's Day event at the White House, thanked Michael Dell by name, and told Americans to "go out and buy a Dell." Dell stock surged 14.6% that day to an all-time high of $263.99. Since Trump's February purchase, Dell is up 96%. And 5 months BEFORE Trump bought Dell stock, Michael and Susan Dell donated $6.25 billion to Trump Accounts, one of the largest philanthropic commitments to a sitting president's signature program in modern history. So the timeline goes: Dell donates $6.25 billion to Trump's program -> Trump buys Dell stock ->Trump tells America to buy Dell from the White House podium -> Stock hits all-time high And that's just ONE stock... The same filing shows Trump bought Nvidia stock on February 10. One week later, Nvidia announced a massive chip deal with Meta. He bought more Nvidia stock one week BEFORE his own Commerce Department approved the sale of Nvidia chips to Saudi Arabia. He bought Intel stock starting in March 2026. The US government already owned a 9.9% stake in Intel worth over $41 billion. On April 30, Trump posted on Truth Social praising Intel, writing that "Intel Stock continues to rise." Intel jumped 3% in after-hours and is now up 140% year-to-date. He bought Palantir stock while his administration was actively handing them billion-dollar government contracts for immigration enforcement and defense. He bought Robinhood stock while his own Trump Accounts program uses Robinhood as the broker. He's currently sitting on over 100% profit on AMD, Intel, Bloom Energy, Marvell Technology, and at least 10 other positions. Every single president since Lyndon B. Johnson has used a blind trust to avoid exactly this situation. But Trump didn't. His assets sit in a trust controlled by his own children, and the filings show a broker acted as agent on several trades. The White House says the portfolio is "independently managed." But here's what independently managed looks like: Buy Dell stock. Three months later, publicly endorse Dell from the White House. Stock hits all-time high. Buy Nvidia stock. One week later, your own government approves their chip sales. Stock rips. Buy Intel stock. Post about Intel on Truth Social. Stock jumps. The government you run already owns a 10% stake. Buy Palantir. Hand them contracts. Buy Robinhood. Route a federal program through their platform. Nancy Pelosi got absolutely destroyed for her husband's stock trades. Her husband's total disclosed trades in his most controversial year were worth roughly $5 million. Trump just disclosed up to $750 MILLION in a single quarter. While making the actual policy decisions that move these stocks. This isn't a left or right issue. We're talking about the President of the United States averaging 60 stock trades per day in companies his own administration regulates, contracts with, and publicly endorses. What do you think?
Ricardo2,099,832 次观看 • 3 个月前
The real reason the US is invading Venezuela goes back to a deal Henry Kissinger made with Saudi Arabia in 1974. And I'm going to explain why this is actually about the SURVIVAL of the US dollar itself. Not drugs. Not terrorism. Not "democracy." This is about the petrodollar system that has kept America the dominant economic power for 50 years. And Venezuela just threatened to end it. Here's what really just happened: Venezuela has 303 billion barrels of proven oil reserves. The largest on Earth. More than Saudi Arabia. 20% of the entire world's oil. But here's the part that matters: Venezuela was actively selling that oil in Chinese yuan. Not dollars. In 2018, Venezuela announced it would "free itself from the dollar." They started accepting yuan, euros, rubles, anything BUT dollars for oil. They were petitioning to join BRICS. They were building direct payment channels with China that bypass SWIFT entirely. And they were sitting on enough oil to fund de-dollarization for decades. Why does this matter? Because the entire American financial system is built on one thing: The petrodollar. In 1974, Henry Kissinger made a deal with Saudi Arabia: All oil sold globally must be priced in US dollars. In exchange, America provides military protection. This single agreement created artificial demand for dollars worldwide. Every country on Earth needs dollars to buy oil. This lets America print unlimited money while other countries work for it. It funds the military. The welfare state. The deficit spending. The petrodollar is more important to US hegemony than aircraft carriers. And there's a pattern of what happens to leaders who challenge it: 2000: Saddam Hussein announces Iraq will sell oil in euros instead of dollars. 2003: Invaded. Regime change. Iraq's oil immediately switched back to dollars. Saddam lynched. The WMDs were never found because they never existed. 2009: Gaddafi proposes a gold-backed African currency called the "gold dinar" for oil trade. Hillary Clinton's own leaked emails confirm this was the PRIMARY reason for intervention. Email quote: "This gold was intended to establish a pan-African currency based on the Libyan golden Dinar." 2011: NATO bombs Libya. Gaddafi sodomized and murdered. Libya now has open slave markets. "We came, we saw, he died!" Clinton laughed on camera. The gold dinar died with him. And now Maduro. With FIVE TIMES more oil than Saddam and Gaddafi combined. Actively selling in yuan. Building payment systems outside dollar control. Petitioning to join BRICS. Partnered with China, Russia, and Iran. The three countries leading global de-dollarization. This isn't coincidence. Challenge the petrodollar. Get regime changed. Every. Single. Time. Stephen Miller (US homeland security advisor) literally said it out loud two weeks ago: "American sweat, ingenuity and toil created the oil industry in Venezuela. Its tyrannical expropriation was the largest recorded theft of American wealth and property." He's not hiding it. They're claiming Venezuelan oil BELONGS to America because US companies developed it 100 years ago. By this logic, every nationalized resource in history was "theft." But here's the DEEPER problem: The petrodollar is already dying. Russia sells oil in rubles and yuan since Ukraine. Saudi Arabia is openly discussing yuan settlements. Iran has been trading in non-dollar currencies for years. China built CIPS, their own alternative to SWIFT with 4,800 banks in 185 countries. BRICS is actively building payment systems that bypass the dollar entirely. The mBridge project lets central banks settle trades instantly in local currencies. Venezuela joining BRICS with 303 billion barrels of oil would accelerate this exponentially. That's what this invasion is really about. Not stopping drugs. Venezuela accounts for less than 1% of US cocaine. Not terrorism. There's zero evidence Maduro runs a "terror organization." Not democracy. The US supports Saudi Arabia, which has zero elections. This is about maintaining a 50-year-old agreement that lets America print money while the world works for it. And the consequences are terrifying: Russia, China, and Iran are already denouncing this as "armed aggression." China is Venezuela's biggest oil customer. They're losing billions. BRICS nations are watching a country get invaded for trading outside the dollar. Every nation considering de-dollarization just got the message: Challenge the dollar and we will bomb you. But here's the problem... That message might accelerate de-dollarization, not stop it. Because now every country in the Global South knows what happens if you threaten dollar hegemony. And they're realizing the only protection is to move FASTER. The timing is insane too: January 3rd, 2026. Venezuela invaded. Maduro captured. January 3rd, 1990. Panama invaded. Noriega captured. 36 years apart. Almost to the day. Same playbook. Same "drug trafficking" excuse. Same real reason: control of strategic resources and trade routes. History doesn't repeat. But it rhymes. What happens next: Trump's press conference at Mar-a-Lago sets the narrative. US oil companies are already lined up. Politico reported they've been approached about "returning to Venezuela." The opposition will be installed. Oil will flow in dollars again. Venezuela becomes another Iraq. Another Libya. But here's what nobody's asking: What happens when you can no longer bomb your way to dollar dominance? When China has enough economic leverage to retaliate? When BRICS controls 40% of global GDP and says "no more dollars"? When the world realizes the petrodollar is maintained by violence? America just showed its hand. The question is whether the rest of the world folds or calls the bluff. Because this invasion is an admission that the dollar can no longer compete on its own merits. When you have to bomb countries to keep them using your currency, the currency is already dying. Venezuela isn't the beginning. It's the desperate end. What do you think?
Ricardo4,627,308 次观看 • 8 个月前
The smartest man in AI just exposed the whole AGI narrative as a LIE. And he used a physics problem from 1905 to prove it. His name is Demis Hassabis. He runs Google DeepMind, and won the Nobel Prize for using AI to crack a problem in biology that had stumped scientists for 50 years. Almost nobody in this industry has a track record like his. He went on the NothingButTech podcast and called out the biggest lie in AI right now: Right now the loudest voices in AI are telling you that AGI is basically here. OpenAI has literally defined AGI as a system that can outperform humans at most "economically valuable work." In other words, if it replaces enough jobs, we have arrived. Hassabis thinks that bar is a joke. He said real general intelligence has to do what the human brain can do, because the brain is the only proof we have that this kind of intelligence is even possible. He called that "a higher bar than just being able to do some useful economic work," which is about as close as a polite British Nobel laureate gets to calling his rivals out. Then he gave the actual test: Today's AI has read everything humans have ever written, including the theory of relativity. So when it explains relativity back to you, it's repeating an answer that already exists. That's not intelligence. So Hassabis proposed a test that makes memorization impossible. Train an AI on only what humanity knew in 1901, four years BEFORE Einstein published relativity. Then ask it to come up with relativity on its own. It can't look up the answer, because in 1901 the answer doesn't exist yet. The only way to pass is to do what Einstein actually did: Take the same physics everyone else had and reason its way to an idea no human had ever had. Hassabis says not a single AI today can, no matter how much it has memorized. Which means what we keep calling "almost AGI" is really just the best librarian in history. It can find any answer that already exists but it cannot create one that doesn't. His second version is even sharper: AlphaGo, the system his own team built, famously invented a brand new move that no human had played in 2,000 years of the game. Everyone called it genius but Hassabis says that still is not the bar. The real test is not whether an AI can invent a new move inside Go, it is whether an AI could INVENT a game as deep and as beautiful as Go in the first place. No model that exists today can do it. The people telling you AGI has already arrived are the same people raising hundreds of billions of dollars on that exact promise. The valuations only work if the finish line is right in front of us. So the finish line keeps getting dragged closer, and AGI keeps getting quietly redefined down to "does useful work," until the products they already sell happen to qualify. Hassabis has nothing to prove and nothing to sell you. He already won the Nobel, and he is telling you the machines still cannot do the one thing that would make them genuinely intelligent, which is have a truly original idea. To be fair to him, he is not a pessimist about it. He believes real AGI IS coming, and he is spending his life building it. He just refuses to pretend it is already sitting in your phone. So the next time a founder tells you AGI is months away, remember that the one man in the room with a Nobel Prize built his test around Einstein, and admitted that nothing we have made can pass it. What do you think?
Ricardo1,287,455 次观看 • 2 个月前
Warren Buffett just warned that the US dollar could collapse and admitted he doesn't understand most of the stock market anymore. 95 years old, sitting on $380 billion in cash, and the first time watching from the sidelines instead of actively investing. And what he revealed at this weekend's Berkshire shareholder meeting is genuinely concerning: On the market, Buffett didn't hold back. He compared it to "a church with a casino attached" and said the casino has never been more packed. On one-day options: "That is not investing. It's not speculating. It's gambling. Totally." He pointed to the Avis short squeeze THIS WEEK. A rental car company that's been around for 50 years getting meme-squeezed in 2026. The same behavior that blew up retail traders with GameStop is back, except now it's hitting boring legacy companies with zero business being volatile. "We have lots more regulation now, but people spend their time figuring out how to get around the rules rather than follow the rules." That one sentence explains more about the current market than every CNBC segment combined. When asked why he's hoarding $380 billion instead of investing it, Buffett said something no one expected: "I understand fewer of the businesses as a percentage of the whole than I did 10 years ago. I have not learned new industries for some years. I'm not going to have an edge on a whole bunch of younger people that have actually grown up with it." Think about what he's actually saying... This is a man who made $140 billion by understanding businesses better than anyone alive. And he's telling you the current market is so detached from reality that even HE can't make sense of what's being valued and why. He quoted IBM's Tom Watson Sr.: "I'm smart in spots and I stay around those spots." In 60 years of managing money, he said MAYBE five were "really juicy." Five out of sixty. That means 92% of his career was spent WAITING while everyone else gambled. And he still ended up richer than all of them. Then the conversation turned to inflation and that's where it gets really interesting: Buffett said America is "not immune" from runaway inflation. He brought up countries that went bankrupt "six or seven times" in his lifetime. Compared today to right before Volcker had to rescue the dollar, when Americans were borrowing at 12% to buy farmland earning 6% because they believed the dollar would disappear. "Cash is trash" was the mentality. Nebraska farmers collapsed because of it. Entire communities wiped out not by a recession but by a BELIEF that the currency was dying. And Buffett sees that same energy building again. Then someone asked the question everyone wanted answered: Do you see a crash coming? "If you saw it coming, it wouldn't happen. The things people are talking about and thinking about? It's not going to happen. But there are things that can come out of the blue." He compared it to the assassination of Archduke Franz Ferdinand in 1914 that triggered World War I. Nobody was discussing or anticipating it. But it changed the world overnight. "That's particularly true now because of the things that can come out of the sky." A 95yo man who has survived every crash, every war, every crisis of the last six decades just told you the market is a casino, the dollar isn't safe, and the real collapse will be something nobody sees coming. $380 billion in cash is his answer because he believes things are about to get much worse.
Ricardo1,646,233 次观看 • 4 个月前
Google just quit the AI race on purpose, and it is about to make MORE money than everyone still running it. 4 of the most cited AI researchers alive walked out of Google in a single afternoon. Jeff Dean, the man who built the systems Google runs on, gone after 27 years. Sanjay Ghemawat, his longtime partner, gone. Oriol Vinyals, a Gemini co-lead, gone. Quoc Le, a Google Brain co-founder, gone. That same day, Demis Hassabis stepped back from running DeepMind. Hassabis co-founded the lab, won a Nobel Prize for AlphaFold, and had been the face of Google AI for a decade. The stock dropped 5% within hours. Analysts called it a brain drain. Headlines called it the day Google fell behind. But turns out that's completely wrong, because the numbers underneath tell a completely different story: Google is not trying to win the frontier model race anymore. It looked at where the money is and walked toward it. Gemini, Google's flagship model business, generated about $12 billion in annual revenue last quarter. That is the entire payoff from competing head to head with OpenAI and Anthropic. Now look at the other number. By the end of 2027, Google Cloud is projected to do over $73 billion selling AI infrastructure to other companies, plus another $120 billion selling its TPU chips. That is roughly $200 billion of external sales at high margins, against a $12 billion model business. Google understood that the frontier race is the expensive part while selling the shovels is the profitable part. And the customers buying those shovels include Google's own rivals. Over 20% of Google's TPU shipments for 2026 and 2027 are going to Anthropic, one of the two labs supposedly beating Gemini. Google now makes money every time Anthropic trains a model designed to crush Google's OWN product. Cede the frontier, own the layer underneath it, and collect a toll from everyone racing across the top. The researchers leaving is the symptom of a company that already decided models are not where it wins. Jeff Dean said it himself on the way out. He told the New York Times that leaving a public company gives him room to make decisions "not necessarily in the company's purist financial interests." Read that from Google's side: The people who wanted to chase the science left, because Google is now optimizing for the FINANCIAL interest. Gemini 3.5 Pro is running months behind, with staff blaming low morale. DeepMind's comms, legal, and marketing teams are being folded into Google proper. A former manager told the Guardian the era of DeepMind as an independent lab is over. None of that reads as failure once you see the strategy. Yet Wall Street is pricing this as Google losing. The parallel that should worry the frontier labs: If open weight models keep compressing the price of inference, being the best model stops being a business. It becomes like semiconductor fabrication, strategically vital and financially brutal, a race you win and still lose money running. Google is the first giant to admit that. The company that invented the transformer just handed the frontier to OpenAI and Anthropic, and positioned itself to get paid on every model both of them ship. Those labs will be burning billions to stay one benchmark ahead, and Google will be cashing in hundreds of billions from it. The model business is actually just a race where everyone loses. Apple understood that from the get-go and never joined the race, Google understood it now and left it to OpenAI and Anthropic. Who will go bankrupt first?
Ricardo241,927 次观看 • 23 天前
Jensen Huang just admitted the biggest AI labs can't borrow money like normal companies. So Nvidia signs for them, and they spend it on Nvidia chips. Nvidia reported Wednesday and the numbers are absurd: Revenue of $96.2 billion, up 106%, with net income of $59.7 billion, the most profitable quarter any public company has EVER posted. And Huang just told Fox Business that every chip Nvidia can make next year is already sold. Here's why this matters the most: Huang wrote this himself about his own customers: "Frontier AI labs have extraordinary demand for training and inference compute, but many are growing faster than their balance sheets and long-term credit profiles can support." Then: They "still lack the decades-long infrastructure contracts and investment-grade financing capacity needed to secure the AI factory infrastructure independently." Put simply: His customers can't get the loans. So Nvidia signs for them. There's a compute campus going up in Ohio with OpenAI as the tenant. Nvidia has tied roughly $105 billion in commitments to it. OpenAI's existing and planned commitments now come to about 12 gigawatts of Nvidia compute. CFO Colette Kress told analysts Nvidia will also provide selective credit enhancement for nearly 2 gigawatts of compute at a second frontier lab. She wouldn't say which one. Nvidia put up to $10 billion into Anthropic in November at a valuation near $350 billion, and Anthropic agreed to buy up to a gigawatt of Grace Blackwell and Vera Rubin systems in the same deal. And Nvidia isn't only guaranteeing these companies. It OWNS pieces of them. This week's filing shows $18 billion committed to equity investments for the rest of the fiscal year, and $47.9 billion already sitting in private companies as of late July. Now here's where it gets really insane: Last week, Huang sat on a CNBC set surrounded by six of Wall Street's biggest firms. Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR. They signed a memorandum to mobilise up to $500 billion in outside capital for AI data centres. Nvidia kept the option to backstop up to a quarter of those deals. And Huang used that stage to announce that Nvidia GPUs are now an asset class. Pension and credit funds can now lend against graphics cards the way they lend against office towers. Kress saw the accusation coming and got ahead of it on the earnings call: "We recognise the scale of this support, and we know some will call this circular financing. We see it differently." But look at the two things Huang says about the same companies. On the earnings call he said AI has hit its inflection point, that the tokens are productive and profitable, and that compute is now revenue. But he also said those same labs can't secure investment-grade financing on their own. A business that's inflecting into profit is exactly the business a bank lends to. Banks lend against cash flow every day. But Nvidia‘s guarantee exists because something in that first story isn't landing with the people whose job is pricing risk. Kress does have a real answer to this though. She said the second lab's credit support only complements capacity it already secured on its own, without Nvidia backing it. Vendor financing is also old and legal. Cisco did it and GE built a finance arm on it. Huang's case is that Nvidia understands these businesses better than any lender could, and he says the risk is low and his only regret is not investing more and sooner. He may be completely right. But one thing is certain: Nvidia guarantees the paper. The paper buys the chips. Nvidia books the sale. Then Nvidia tells you the order book is full for a year. That order book is the entire argument for a $5 trillion company. And Jensen Huang just explained, in his own words, that his customers couldn't have written those orders without him. Isn’t this suspicious?
Ricardo62,605 次观看 • 6 天前
Elon Musk just confirmed the most INSANE IPO in history. SpaceX is going public in 2026. $1.5 TRILLION valuation. Raising $30+ billion. That's the biggest IPO ever made. Beating Saudi Aramco's $29 billion record from 2019. But here's what everyone's missing: This isn't about space tourism or Mars missions. Elon is literally about to win the entire AI race. And 99% of people have no idea how... Here's the problem killing every AI company right now: POWER. Oracle just reported earnings. They burned through $12 BILLION in one quarter building data centers. Their free cash flow? NEGATIVE $10 billion. Revenue missed estimates. Stock crashed 11%. Microsoft, Amazon, Google all scrambling to find enough electricity for AI training. The brutal math: The US generates 490 gigawatts of total power. AI is projected to need 123 gigawatts by 2035. That's a QUARTER of the entire electrical grid. Just for artificial intelligence. Goldman Sachs says AI energy demand could jump 165% by 2030. There is literally not enough power on Earth to run AI at the scale these companies are promising. Every data center needs massive cooling systems. Billions of gallons of water per year. Insane energy costs. And the infrastructure can't keep up. Elon's solution? Stop building on Earth entirely. SpaceX is building data centers in SPACE. Not a concept. Not 10 years out. Literally starting in 2026. They're upgrading Starlink V3 satellites to carry AI computing chips. Each satellite gets 24/7 solar power. No clouds. No night. No weather disruptions. No grid bottlenecks. And the insane part is that Starship can deliver 300 to 500 gigawatts of solar-powered AI satellites into orbit every single year. At 300 gigawatts per year, the AI computing power in space would exceed the entire U.S. economy's total electricity consumption within two years. Just from satellites. Processing in orbit. While Oracle is begging banks for loans to finish data centers and OpenAI is stuck in circular funding arrangements with Microsoft, Elon already owns everything: The rockets. The satellites. The launch infrastructure. The AI company (xAI). He doesn't need to ask utilities for permission. Doesn't need grid approvals from local governments. Doesn't need to build nuclear plants or wait for clean energy. He just launches. And everyone else is scrambling to catch up: Jeff Bezos sees it. Blue Origin announced they're building their own orbital data centers. Google just launched "Project Suncatcher" with plans to deploy AI satellites by 2027. Eric Schmidt, the former CEO of Google, literally BOUGHT an entire rocket company (Relativity Space) just to compete in this space. But they're all 3+ years behind Elon. SpaceX already has 6,000+ Starlink satellites in orbit. The infrastructure is built. The $30 billion from the IPO? Going straight into scaling orbital compute. SpaceX revenue is jumping from $15 billion in 2025 to $24 billion in 2026. Most of that from Starlink. Now add space-based AI infrastructure on top. Here's why this matters: Whoever controls orbital computing controls the AI revolution. And there's only ONE company on Earth with fully reusable rockets that can launch at the scale required. Jensen Huang, Nvidia's CEO, called space data centers "a dream." Translation: Nvidia is screwed if Elon actually pulls this off. Because if SpaceX succeeds, every AI company on the planet becomes Elon's customer. OpenAI needs compute? Running on SpaceX satellites. Google needs more capacity? Renting orbital infrastructure. Microsoft needs power? Paying SpaceX for launch and compute access. Elon won't just be in the AI race. He'll own the entire track everyone else is running on. The $1.5 trillion valuation sounds crazy until you realize what he's actually building. It's not a rocket company. It's the infrastructure layer for the next 50 years of computing. People calling it overvalued have no idea what's coming.
Ricardo2,908,952 次观看 • 8 个月前
Google just reported $99 billion in profits it never actually received. Alphabet posted net income of $112.1 billion for a single quarter. Earnings per share came in at $9.11 against a Wall Street estimate of $2.87. That is one of the largest profit quarters any company has ever printed. Yet the stock fell about 7% the same day. When people read past the headline and opened the earnings release, they found the reason sitting in one footnote... $99 billion of that profit came from a line called other income. Alphabet describes it as "primarily the result of net unrealized gains on our equity securities." So Google did not sell anything. It marked up shares it already owned and ran the increase through its income statement. That single line added $77.1 billion to net income after tax. It accounted for $6.26 of the $9.11 in earnings per share. Strip it out and adjusted earnings per share were $2.85. Analysts wanted $2.89. The ACTUAL business missed. Now here is what makes this insane: Most of that $99 billion came from two holdings, SpaceX and Anthropic. SpaceX went public on June 12 at roughly $1.77 trillion, up from about $400 billion a year earlier. Alphabet's stake is worth $94.1 billion, and roughly $80 billion of it sits under sale restrictions. Anthropic went from a $350 billion valuation to $965 billion inside the same quarter. Alphabet's private company holdings were worth about $124.3 billion on June 30, and the vast majority of that is Anthropic. Google cannot sell either position right now. Now trace where that valuation came from: Google started putting money into Anthropic in 2023. A $300 million bet has grown into a $13.3 billion position with commitments of up to $30 billion more. Anthropic committed to buying at least five gigawatts of computing capacity from Google Cloud. Google Cloud revenue then grew 82% to about $24.8 billion, the strongest quarter that business has ever had. That growth is part of the story the market uses to price both companies. And when Anthropic's valuation jumped, Google booked the jump as its OWN profit. Google is the investor, the supplier, and the party deciding what the asset is worth. A tax and accounting consultant named Robert Willens flagged this back in April, pointing out that Alphabet is able to influence the value of one of its own assets. And Alphabet's free cash flow for the quarter was negative $5.9 billion. That is the first negative quarter since Google went public in August 2004. Capital spending hit $44.9 billion. Operating cash flow was $39.1 billion. Capex now eats about 37.5% of every dollar of revenue, the highest share in the company's public life. To fund it, Alphabet has taken on roughly $100 billion of debt this year and raised about $85 billion in a June share sale, its first in more than two decades. This is a company that spent years buying its own stock back. What happens next: Alphabet raised 2026 capital spending guidance to between $195 billion and $205 billion, the second raise in three months. The finance chief told analysts 2027 spending will rise significantly. The company also disclosed $811 billion in contracted future spending commitments as of June, up nearly $500 billion from March. Those commitments are signed contracts that get paid in cash. The profit is an estimate of what a private company might be worth on a given day. Estimates move in both directions. If Anthropic or SpaceX gets repriced downward, the same line that produced the biggest quarter in Google's history runs backwards, and this quarter produced no free cash flow to absorb it. Meta, Microsoft and Amazon are all carrying their own private AI stakes into their own earnings reports. Watch how much of their profit they actually collected in cash...
Ricardo364,453 次观看 • 1 个月前
Anthropic just told Wall Street that replacing human workers is worth $30 trillion a year. The largest IPO ever is about to go on sale, and the product being sold is "replacing jobs.“ $30 trillion is bigger than the entire economy of China. It's about the size of the whole United States economy, which runs around $32.5 trillion a year. And it's roughly a quarter of every dollar earned on this planet. Anthropic is telling investors that's the market. Now here's the part nobody explained: Companies usually size a market by counting an industry. They add up the software licences, the cloud contracts, the subscriptions, whatever that category buys in a year. But Anthropic did something else… They built the $30 trillion figure from the full scope of work that could be completed using AI models. So the market Anthropic sized is the world's wage bill. And this is where it gets really interesting: Anthropic's revenue right now runs about $65 billion a year, up from roughly $9 billion at the end of 2025. So Anthropic is telling investors it has captured 0.2% of its own market. The 191 technology companies in the S&P 1500 made $2.4 trillion in revenue last year. That's EVERY listed tech company added together. Anthropic is claiming a market TWELVE times bigger than all of them combined. That $30 trillion is doing one job here: Making the price look reasonable. Anthropic wants a valuation near $2 trillion and a raise of up to $100 billion, which would beat the $86.2 billion SpaceX pulled in the biggest IPO in history. Against $30 trillion, a $2 trillion price is basically nothing. Without it, you're buying a company with $65 billion in sales for $2 trillion. Then look at who steers the thing afterwards: Dario Amodei owns roughly 2% of Anthropic. Before the listing, Amodei and his co-founders are getting a special class of stock with extra voting power. The trust that appoints most of the board just dropped from four trustees to three. So whoever buys into the biggest IPO in history gets no vote and no board seat. And the insiders may get to sell into it. Anthropic is weighing letting existing shareholders cash out inside the offering, which SpaceX refused to allow. We watched this exact thing play out three months ago: SpaceX told investors its market was $28.5 trillion, priced at $135 a share in June, and traded under $105 in early August. Uber ran the same play in 2019 with a $6 trillion market. But the revenue here is real, and that's what makes it so hard to dismiss. Anthropic grew 7x in 7 months. Serious funds will ignore the $30 trillion completely and model the near-term target of roughly $200 billion in sales by the end of the decade. The $30 trillion is aimed at everyone else reading the headline. And Anthropic is a public benefit corporation. Amodei warned in his own essay this year about "a level of wealth concentration that will break society." He's predicted AI could wipe out half of all entry-level white-collar jobs. Job candidates are reportedly even asked how they'd feel if the company killed its own product on safety grounds and the stock went to zero. Anthropic took its name from anthropos, the Greek word for human being. And the pitch it's carrying to Wall Street is that its software can do the work humans currently get paid for. If Anthropic ever collects a real slice of that $30 trillion, it has to come out of wages somebody is getting paid today.
Ricardo28,128 次观看 • 3 天前
This is the biggest irony in tech history. Microsoft beat revenue estimates. Stock plunged 11%, wiped out $400 BILLION in market cap. Salesforce reported growth. Stock fell 5.6%. ServiceNow beat earnings. Stock crashed 11%. SAP beat projections. Stock dropped 16%. Entire software sector entered bear market territory. Down 22% from peak. These are the companies everyone said would WIN from AI. They spent billions BUYING AI companies. ServiceNow: $7.75 billion for Armis. Salesforce: $8 billion for Informatica. They launched AI products. Built AI workflows. Hired AI teams. And the market said: You're all dead. Because investors just realized something nobody wanted to admit: AI doesn't make software companies stronger. AI makes software companies OBSOLETE. Morgan Stanley: "In an environment of heightened investor skepticism, stable growth falls short of shifting the narrative." Good earnings aren't enough anymore. The market is pricing in a world where AI replaces the software these companies sell. ServiceNow CEO tried defending on the earnings call: "AI needs workflow orchestration. ServiceNow is the gateway to this shift." Market response: 11% crash. Because here's what he didn't say: If AI can write code, automate workflows, and generate apps at a fraction of the cost, why would anyone pay $50,000 per year for enterprise software licenses? The per-seat pricing model that made SaaS companies rich is getting murdered by AI efficiency. One AI agent replaces 10 seats. One prompt replaces months of custom development. One LLM call replaces entire software categories. Klarna already proved it. CEO said they pulled Salesforce out of their stack. Built everything themselves using AI. And that's just the beginning. The software apocalypse hit hardest on companies that INVESTED IN AI: Atlassian: down 12.6% Intuit: down 7.8% HubSpot: down 11.5% Zscaler: down 6.3% Meanwhile, the companies ENABLING AI made money: Nvidia: up Semiconductor stocks: surging Memory firms: rallying The divide is brutal. Hardware companies print cash. Software companies get destroyed. Because in an AI-first world, you need GPUs to build the models. But you don't need software subscriptions when the AI builds the software for you. Jim Cramer called it the "P/E multiple compression crisis." Translation: Investors don't care about earnings anymore. They care about whether your business model survives the next 5 years. And right now software business models look doomed. They're literally stuck: If they DON'T invest in AI, they fall behind. If they DO invest in AI, they cannibalize their own products. It's a death spiral with no exit. ServiceNow spent $12 BILLION on acquisitions in 2025 alone. Trying to buy their way into relevance. And yesterday the market cooked them. The craziest thing to me tho... Most software companies beat earnings. Revenue was solid. Growth was fine. But it didn't matter. Because the market stopped pricing software on what it earns TODAY. It's pricing software on what it's worth in a world where AI does the job for free. And in that world these companies are worth nothing. This is the biggest sector repricing since 2008. $500 billion in market value gone in ONE DAY. And it's not stopping. Because every company watching this is thinking the same thing: "If I can replace ServiceNow with 3 AI agents and save $10 million per year, why wouldn't I?" The answer used to be: "Because you need enterprise-grade reliability." But now? AI agents are getting reliable. Fast. Software companies just realized they're competing with open-source models that cost $0.02 per 1,000 tokens. You can't win a pricing war against free. The companies that spent BILLIONS preparing for AI are getting killed BY AI. What an irony.
Ricardo1,816,013 次观看 • 7 个月前
Jensen Huang just called out every CEO who’s been firing people “because of AI.” Jim Cramer asked him why companies are laying people off if AI is supposed to make everyone MORE productive. Jensen's answer: "For companies with imagination, you will do more with more. For companies where the leadership is just out of ideas, they have nothing else to do. They have no reason to imagine greater than they are. When they have more capability, they don't do more." Read that again. The man who built the most important tech company on Earth just told you that if your CEO is using AI to cut headcount, it means one thing: They have no imagination. They have no vision for what comes next. They got handed the most powerful tool in human history and their FIRST instinct was to fire people. This is the CEO of NVIDIA. The company whose chips power every AI system on the planet. If anyone on Earth has the right to say "AI replaces workers," it's Jensen Huang. And he said the OPPOSITE. He said every carpenter could become an architect. Every plumber could become an architect. AI elevates capability. It doesn't eliminate it. But here's where it gets really interesting... During the same interview, Jensen revealed something nobody's talking about: He said AI startups like OpenAI and Anthropic are seeing their revenues increase by one to two billion dollars a WEEK. And he wishes these companies were public so the world could see what he sees. One to two billion per week. That's a $50 to $100 BILLION annualized run rate. For companies that most people think are burning cash and making nothing. The entire Wall Street narrative that "AI companies aren't profitable" might be completely wrong. Jensen sees their numbers. He sees their compute orders. He sees their growth. And he's saying the revenue is real. So if the money IS real, why are other companies firing people? Because they're not building AI products. They're not creating new revenue streams. They're not using AI to expand into new markets. They're using AI as an EXCUSE to cut costs because they ran out of ideas 3 years ago and need something to tell the board. Jensen's company added $500 billion in new orders in 5 months. He expects $1 trillion in cumulative revenue through 2027 from just two product lines. That number doesn't include the new chips, systems, or partnerships announced this week. And he's not cutting people. He's hiring. Because when you have imagination, more capability means MORE opportunity. Not less headcount. Meanwhile Salesforce cut thousands. Meta cut thousands. Amazon cut thousands. All blaming "AI efficiency." Jensen's response: You're out of imagination. He also said something that stuck with me. Cramer asked if he ever thought he'd build a $10 to $20 trillion company while waiting tables at Denny's. His answer: "I was just trying to make it through the shift." Biggest tip he ever got? Two, three dollars. Now he's building tech that increased computing demand by one million times in two years. He announced OpenClaw, which he says is as big as ChatGPT. And he's got 21 months of new business that isn't even counted in the trillion dollar figure yet. When asked how long he plans to keep working? "I'm hoping to die on the job. And I'm not hoping to die anytime soon." This is a man who believes every single thing he's building. And his message to every CEO using AI to justify layoffs is simple... You're not innovating. You're surrendering. The technology wasn't built to shrink companies. It was built to make them limitless. If your leadership can't see that, the problem isn't AI. It's THEM.
Ricardo1,391,402 次观看 • 5 个月前