- Understand measured movement - institutional buyer - where to take profit? $263/ share
- Understand retracement - first up 8%, retracement up to 0.618, went down from $242 to $231
- Rebound - Do not take loss too seriously - post market - Need to test the value in day time market
- Next day MU stock went up $263 after market open
- Lessons learned - so many lessons learned
From January 2015, she started to practice leetcode questions; she trains herself to stay focus, develops "muscle" memory when she practices those questions one by one. 2015年初, Julia开始参与做Leetcode, 开通自己第一个博客. 刷Leet code的题目, 她看了很多的代码, 每个人那学一点, 也开通Github, 发表自己的代码, 尝试写自己的一些体会. She learns from her favorite sports – tennis, 10,000 serves practice builds up good memory for a great serve. Just keep going. Hard work beats talent when talent fails to work hard.
Thursday, December 18, 2025
MU stock | Earnings | learn First 5 m K bar | Retracement | Postmarket | How to overcome fear? | Stop loss
淫媒爱泼斯坦发迹史:用假学历跻身投行 赚过亿身家
美国已故富豪、淫媒爱泼斯坦(Jeffrey Epstein)在世时被控参与性贩卖未成年少女,其后在拘留期间突然离世,让整件事顿成谜团。多年来,有关爱泼斯坦如何发迹的传言一直甚嚣尘上。美国媒体近日一项调查揭示了这位大学辍学生,如何靠着人脉和假学历混入投资大行贝尔斯登(Bear Stearns),然后利用工作便利将自己包装成投资大师和避税顾问,在获取富豪客户信任后不断榨取他们的金钱,同时又利用这些人际关系去结识更多的权贵,逐步踏上美国上流社会的顶峰。
偶遇投行高层成命运转捩点:
据《纽约时报》报道,1976年初的一个晚上,一头乱发的爱泼斯坦出现在曼哈顿一间画廊的活动现场。爱泼斯坦当时在纽约著名的道尔顿学校任教数学和物理,一位学生的家长邀请他出席活动。爱泼斯坦起初婉拒,说自己很少出门,但最后还是答应了。事实证明,这是他做过的最明智的决定之一。
在画廊里,爱泼斯坦偶遇了另一位道尔顿学校的家长,这位家长听说过这位23岁年轻人惊人的数学天赋。这位家长问他是否会考虑在华尔街找份工作。爱泼斯坦欣然同意。这位家长打了电话给朋友:投资银行贝尔斯登的高层格林伯格(Ace Greenberg)。这位朋友告诉格林伯格,爱泼斯坦“在道尔顿(学校)简直是浪费时间”。
从穷老师摇身一变华尔街宠儿:
对爱泼斯坦而言,这真是难得的好运,而且这只是他众多好事的开始。道尔顿学院的管理层对爱泼斯坦的教学能力并不满意,在学年结束后就要求他离职。而现在,他却突然找到了一份新工作,年薪约2.5万美元(约19.4万港元,相当于今日的14万美元,约109万港元)。
格林伯格视爱泼斯坦为自己的得意门生。不久之后,他邀请爱泼斯坦参加一场晚宴,并安排他坐在自己20岁的女儿琳恩(Lynne)旁边。琳恩表示,她当时就怀疑这是父亲的设计。两人一见如故,很快就开始约会。爱泼斯坦与老板女儿的恋情迅速传开,让他在公司里获得某种程度的“保护”。
不久之后,坦南鲍姆(Michael Tennenbaum)就成为了爱泼斯坦的上司。 坦南鲍姆表示:“爱泼斯坦展现出大量的天赋。”。但在1976年末,他接到贝尔斯登人事部门主管打来的电话。员工们姗姗来迟地查看了爱泼斯坦的履历,履历显示他拥有加州两所大学的学位。
人事部高层问坦南鲍姆:“你坐好了吗?两所学校都没听说过爱泼斯坦。”
坦南鲍姆忆述当时处境尴尬。他问格林伯格该怎么办。格林伯格的回答是,他应该像对待普通员工一样对待爱泼斯坦。这显然表明,由于爱泼斯坦的人脉关系,他实际上并非普通员工。
坦南鲍姆召唤爱泼斯坦到办公室:“你谎报了学历,”
爱泼斯坦平静地回答:“是的,我知道。”。他从未大学毕业。坦南鲍姆回忆说,爱泼斯坦的坦白让他措手不及。数十年后,他将此视为爱泼斯坦操控目标能力的一个例子。
坦南鲍姆结结巴巴地问:“为什么要这么做?”
爱泼斯坦指,没有一两个令人瞩目的学位,“我知道没人会给我机会。”
这或许是爱泼斯坦第一次因作弊被抓,却凭借其利用权贵的非凡能力逃脱惩罚。这成为他一生的惯用伎俩,也很大程度上解释了爱泼斯坦为何能如此迅速地累积巨额财富,并最终策划庞大的性交易网络。
长袖善舞让爱泼斯坦在投行扶摇直上:
摆脱了假学历困境后,爱泼斯坦前途一帆风顺。 1980年,贝尔斯登公司任命他为有限合伙人,仅次于正式合伙人。当时才27岁的爱泼斯坦声称自己是该公司历史上最年轻的合伙人。他的年收入约为20万美元(约156万港元,相当于今日的80万美元,约622万港元)。那时,爱泼斯坦与格林伯格女儿的暧昧关系已经结束。莲恩表示,她发现爱泼斯坦“什么都撒谎”,但他却声望日隆。
爱泼斯坦经常飞往佛罗里达州棕榈滩,与年轻女性约会。那年夏天,《时尚》杂志(Cosmopolitan)将爱泼斯坦评为“每月钻石王老五”(bachelor of the month),称他是一个“精力充沛”的人,而且“只和年收入超过百万美元的人交往!”该杂志鼓励有兴趣的人写信到爱泼斯坦的办公地址。
爱泼斯坦早期成功的秘诀之一是他与凯恩(Jimmy Cayne)的密切关系。凯恩是贝尔斯登的高层主管,日后更成为贝尔斯登的掌门人。据几位同事透露,或许是出于嫉妒,有传言称爱泼斯坦帮助凯恩(已于2021年去世)追求女性并获取毒品。凯恩向同事们极力推荐爱泼斯坦,并开始将他介绍给自己一些最赚钱的客户。
坦南鲍姆回忆道:“正是这件事让他一飞冲天,”,并称爱泼斯坦和凯恩是“两个卑鄙小人”。爱泼斯坦每周都会一两次放出风声,说他要和某大公司的行政总裁共进午餐。这些会面显然都是凯恩安排的。沃克(Elliot Wolk)在坦南鲍姆之后成为了爱泼斯坦的上司。沃克推测,爱泼斯坦之所以能吸引这些客户,一部分原因是他个人魅力十足,另一部分原因是他当时掌握了复杂的交易策略,这些策略可以帮助超级富豪客户节省巨额税金。
事业如日中天却因违规黯然离职:
1981年初,贝尔斯登公司开始调查爱泼斯坦,两名高层主管就其女友获取的IPO股份和个人贷款问题对他进行了讯问。爱泼斯坦否认有任何不当行为,并如他后来在给同事的一封信中所说,对调查“深感愤慨”。贝尔斯登决定对其处以2500美元的罚款,并停职两个月。爱泼斯坦不愿接受这种羞辱,宣布辞职。
爱泼斯坦在贝尔斯登的五年任期结束了,但他并不打算悄悄地离开华尔街。他在贝尔斯登累积的人脉和资历,为他往后诱骗客户和进行金融诈骗时,发挥了至关重要的作用。
在贝尔斯登建立的人脉让爱泼斯坦赚到第一桶金:
在贝尔斯登,一位名叫海尔(Paula Heil)的初级销售员,也是前印第安纳小姐,对爱泼斯坦来说至关重要。她将爱泼斯坦带入一个他从未见过的充满财富、特权和无限可能的世界。
在爱泼斯坦离开贝尔斯登之前,他们就开始约会。同年,这对情侣前往英国。在英国期间,海尔带爱泼斯坦去拜访了她的一位富有的熟人尼克·利斯(Nick Leese),地点是利斯家族位于乡间的庄园。在那里,他们结识了尼克的父亲道格拉斯·利斯(Douglas Leese),他是一位国防承包商,在军火行业和英国政府拥有广泛的人脉。道格拉斯·利斯对爱泼斯坦一见如故。
1982年,爱泼斯坦获前同事介绍认识了斯特罗尔(Michael Stroll),斯特罗尔经营一间弹珠台和电子游戏公司。史特罗尔信任贝尔斯登。他给了爱泼斯坦45万美元(约350万港元),约占他净资产的10%,让他投资爱泼斯坦声称正在筹划的一项原油交易。
斯特罗尔后来透露,不到两年,大部分钱就消失了。斯特罗尔指爱泼斯坦开始逃避他的电话。这场纠纷最终闹上了民事法庭,斯特罗尔辩称爱泼斯坦曾承诺归还他的钱,但从未兑现。 1993年,爱泼斯坦以技术性理由胜诉,法官裁定他无需承担个人责任。几十年过去了,斯特罗尔仍然耿耿于怀。 “他是个卑鄙的混蛋。”
骗取客户金钱让财富不断膨胀:
爱泼斯坦此后不断重施故技,他透过自己对金融投资和避税的知识,获取富豪客户的信任,然后利用对方的财富为自己获利。在事成之后,就与对方断绝来往,继续寻找下一个“猎物”。
据报道,爱泼斯坦在1999年的个人财富就已达到1亿美元(约7.8亿港元)。
他常常利用年轻女性作为强而有力的筹码。他的女友、情人,甚至前任都帮助他提升其地位。
整个故事始于贝尔斯登,爱泼斯坦正是在那里学会如何赢得权力并运用权力。即使在他暴露其真面目之后,这间机构仍然继续纵容他。
四十多年过去了,坦南鲍姆仍然后悔当初没有抓住机会终结爱泼斯坦的职业生涯。
坦南鲍姆慨叹:“我当时没有意识到,我正在打造华尔街的另一个怪物。”
Google search | orcl stock builder funding data center problem how to rate severity | AI overview
The issues surrounding Oracle's (ORCL) data center funding and potential build delays are widely considered by market analysts to be a high-to-severe concern for the stock's short-to-medium term performance. The severity is primarily rated by market reaction, credit risks, and potential impacts on major contracts like the one with OpenAI.
- Significant Stock Price Decline: The stock experienced a substantial decline (over 16% in one instance and nearly 40% from its September 2025 high) following news of a weak outlook, higher-than-expected capital expenditures, and funding issues. This indicates strong investor apprehension.
- Funding Uncertainty and Rising Debt: A major financial partner, Blue Owl Capital, reportedly withdrew from a planned $10 billion data center project in Michigan due to concerns over Oracle's escalating debt and lease obligations. The company is funding much of its AI build-out through debt, which has led to negative free cash flow and increased investor worries about its capacity to fund future projects.
- Credit Risk Indicators: The cost of insuring Oracle's debt through credit default swaps (CDS) reached its highest level since 2009, a clear market signal of heightened default concern. While Oracle maintains an investment-grade (BBB) credit rating, the high leverage is straining that rating and may lead to a potential downgrade to BBB-.
- Execution Risks and Project Delays: Reports of data center completion dates being pushed back (from 2027 to 2028) have raised concerns about operational execution and Oracle's ability to meet its substantial contractual commitments, particularly the massive $300 billion, five-year deal with OpenAI. Oracle, however, has publicly stated that all commitments remain on track with a different funding partner.
- Impact on Profitability and Margins: The high capital intensity of building these data centers is increasing costs more than expected, leading to concerns over future profitability and margins, despite strong overall demand for Oracle's cloud services.
- Market Volatility & Stock Performance: Rapid, double-digit stock drops are a direct indicator of high market concern and are often considered a "Severity 1" (complete loss of service/major disruption in general business terms) for investors due to significant capital loss.
- Credit Spreads/Ratings: Widening credit default swap (CDS) spreads and the risk of a credit rating downgrade indicate a material increase in financial risk, which is a "Severe" structural problem for the company's long-term financial health and ability to borrow cheaply.
- Operational Execution: Confirmed data center delays or loss of key partners are viewed as significant operational setbacks, which are considered a "Severity 2" event, indicating a significant loss or degradation of resources crucial for future growth.
- Cash Flow and Debt Levels: Negative free cash flow and high debt-to-equity ratios are viewed as substantial financial pressures, leading to increased scrutiny and a more cautious rating by analysts.
ORCL stock | 几乎腰斩!甲骨文跌势不止 AI行业泡沫风险加剧
在今年9月10日以创纪录的涨幅刷新历史新高后,甲骨文股价便开始一路走低。本月以来,公司连遭利空突袭,进一步加剧了外界对于人工智能行业前景和估值泡沫的担忧。
截至周三收盘,甲骨文报178.45美元,下跌5.4%,近三个月累计跌幅48.5%。作为近两年推动美股牛市的关键因素,该行业对于明年市场的走向依然至关重要。
甲骨文否认融资泡汤传闻
据媒体报道,蓝猫头鹰资本(Blue Owl Capital)为甲骨文公司密歇根州100亿美元数据中心项目提供融资的计划宣告泡汤,知情人士指出,此事源于市场对甲骨文债务规模及支出水平的担忧。受该消息影响,曾一度大热的这家人工智能(AI)概念股大幅跳水。不过,甲骨文随后对该报道予以否认,并表示该项目正在稳步推进。
近几周来,与企业数据中心建设计划相关的高风险融资方案一直让投资者感到紧张不安。甲骨文在最新季度财报文件中披露,截至11月30日,该公司未来15年在数据中心租赁及云服务容量方面的承诺支出高达2480亿美元,较今年8月的数据增长了近148%。
美国证券交易委员会SEC文件显示,这家云计算巨头在今年9月新发行了180亿美元债券。截至11月底,甲骨文的总负债额超过1240亿美元,其中包含经营性租赁负债。目前,其信用违约互换CDS收益率徘徊于2009年以来最高水平。
市场担忧的核心在于,部分超大规模云计算服务商正转向私募股权市场融资,而非自行承担数据中心建设成本,且它们签订的租赁协议可能存在较高风险。而此次甲骨文成为市场焦点之前,该公司上周刚驳斥了一则报道,该报道称甲骨文已将部分面向OpenAI的项目推迟至2028年。
“我们显然已经看到市场出现了非常明显的轮动,资金正从大盘成长股转向大盘价值股。我认为,这实际上是投资者在为明年的市场走势调整仓位,转向更具防御性的配置。”扎克斯投资管理公司客户投资组合经理马尔伯里(Brian Mulberry)表示,“当前市场真正的疑问是:‘谁能从这些规模庞大的人工智能投资中实现盈利?’”
马尔伯里预计,资金从高估值个股向 “估值更合理板块”的轮动趋势将持续至2026年。他认为,这一趋势叠加货币政策的不确定性,可能会引发市场出现一定的波动。“在当前阶段,关注某些特定指标以判断人工智能领域的盈利拐点何时、在何处出现至关重要,这些指标包括自由现金流等。资产负债表可以粉饰,但自由现金流是无法造假的。”他进一步分析道,“曾经推动市场回报的最大引擎,如今已成为市场面临的最大风险。”
泡沫严重?
根据公开报道和财报,随着科技巨头越来越多地签署租赁服务器集群的协议,作为人工智能应用支柱的数据中心支出承诺在近几个季度持续攀升。包括微软、Meta在内的科技巨头已承诺未来几年在数据中心租赁上投入总计5000亿美元,这一天文数字凸显了该行业对人工智能的押注力度之大。
近期科技股调整背后,有关AI泡沫论的争议开始出现。首先是过度投资与成本收益失衡,行业面临投资规模远超短期回报的困境。仅OpenAI 一家就计划未来数年投入1.4万亿美元。科技巨头同样如此,Alphabet、微软等四大科技巨头未来12个月人工智能相关资本开支超4000亿美元,多用于数据中心建设,但相关收入远难覆盖成本。这种 “烧钱换增长”的模式高度依赖外部资金,一旦融资断档便会引发连锁问题。
随之而来的就是估值隐患,不少企业估值已严重脱离基本面。例如Palantir Technologies 市盈率超180倍,Snowflake预期市盈率接近140倍。需要注意的是,AI相关股票占美国人财富中股票持有比例达纪录水平,这种拥挤交易状态下,一旦市场情绪转向,极易引发股价集体回调。
最后,高杠杆融资或放大风险,现金流充裕的科技巨头成为发债大户,Meta、亚马逊等靠发行巨额债券支撑AI基建。部分企业还通过特殊目的载体(SPV)模式进行表外融资,隐性担保形成或有负债,这种高杠杆模式在融资环境收紧时,风险会快速暴露并传导至整个产业链。
尽管风险重重,华尔街对于行业前景并不悲观。从产业端看,科技巨头为避免被行业淘汰选择 “all in AI”,持续投入资金研发新模型、拓展应用场景;从美国政府角度看,美股繁荣与AI叙事可以绑定家庭财富和美元信用。
第一财经汇总发现,机构普遍看好明年标普500指数的目标涨幅有望继续达到两位数。汇丰银行认为,人工智能投资周期会持续为企业盈利提供支撑。花旗银行预计,人工智能投资利好有望持续释放,不过市场关注点会从人工智能赋能企业转向应用企业。
Wednesday, December 17, 2025
Why this billionaire real estate developer is waving a red flag over data centers
Why this billionaire real estate developer is waving a red flag over data centers
- Fernando de Leon, founder of Leon Capital Group, says he sees big problems in data center financing.
- While big players such as Blackstone, KKR and Bain Capital are buying in, De Leon said he is sitting out.
- De Leon said he’s excited about how much more capital is coming in to commercial real estate from wealth firms, family offices, sovereign wealth funds and pensions.
A version of this article first appeared in the CNBC Property Play newsletter with Diana Olick. Property Play covers new and evolving opportunities for the real estate investor, from individuals to venture capitalists, private equity funds, family offices, institutional investors and large public companies. Sign up to receive future editions, straight to your inbox.
Fernando de Leon, founder of Leon Capital Group, started a small lot development company in 2004 with $100,000 and turned it into a $10 billion business, focused mainly on commercial real estate. He did that, he says, by predicting distress, watching the source of capital and leaning on his Harvard degree in evolutionary biology.
While others lost their shirts in the great financial crisis, De Leon began to make his fortune. He left a job at Goldman Sachs to start his own business and was doing some deals in residential lot development. A year in, he said, he saw some of the early indications from subprime mortgages and overbuilding that this was going to be “a difficult cycle change.”
“We basically said, look, we see things here that are fundamentally unsound. We’re going to take these property positions and sell them, and then kind of wait and see what happens,” De Leon told Property Play.
“We divested, we brought back some liquidity, and then we sort of waited, and then in 2008 to 2012 we became fixers. We became people that were able to talk to banks, to life insurance companies, to businesses that had loan exposure, and we were able to solve problems for them,” he said.
De Leon said he turned around projects that had stalled and become problematic for lenders, experience he now says informed his thinking in the early years of the pandemic.
“In 2021, we sold a great deal, several billion dollars of real estate because prices were high, and that was a function of low interest rates and euphoria and bad incentives in the market,” he said. “Part of it is understanding where the capital is coming from. You begin to see participants in the market that shouldn’t be there ... and when they match up and that funnels through the supply chain, you begin to see distortion and pricing.”
Now, De Leon said, he’s seeing the same red flags flying over data centers.
The problem with data centers
While big players like Blackstone, KKR and Bain Capital are buying in, De Leon said he is sitting out.
“The thing that I can’t quite square is the data center play. I look at a data center that’s $10 billion, right? First of all, there haven’t been any exits above, you know, $4 billion or $5 billion, you haven’t seen comps, so that worries me quite a bit,” he said.
“Then I see large technology companies, the largest companies on the planet, with $4 trillion market cap, saying, ‘I don’t want to own this asset. I don’t want to have this on my balance sheet.’ So I ask, Why? Why doesn’t the largest company in the world want to own its own asset?” De Leon said. “The AI business is everything for them today, for the large hyperscalers, and so they’re saying, ‘No, you build it, you finance it.’”
De Leon surmises that what is inside these data centers, the technology of artificial intelligence, will quickly become obsolete. AI, after all, is designed to make everything more efficient, including itself. And the value of the centers is not the four walls, but what’s inside.
These 15- and 20-year leases that developers are relying on, he suspects, are “Swiss cheese” leases — as in, full of holes in the agreement over time.
De Leon said his biggest concern is that big private capital investors are getting the money they manage from things like pension funds for teachers, police and firefighters.
“When they say, ‘I’m going to own this asset and lease it back to one of the hyperscalers,’ they’re putting other people’s money at risk,” he said.
Evolutionary biology in CRE
De Leon started in the real estate business as a teenager, working as a translator for a local Texas developer. Instead of getting a salary, he asked for equity in a project. And rather than getting a degree in business, he chose evolutionary biology, because understanding people is good business, he says.
“It was prescient. I mean, it turned out to help me make decisions about organizing companies and leadership, building businesses,” De Leon said. “I think some of these things are about incentives, right? Basic commercial interaction between human beings is about incentives.”
He said that’s particularly true in industries where there are well-established players.
“You always find a status quo group of incumbents that are set up, and they have certain advantages,” he said. “Understanding them from a sociological standpoint, that gave us some insight into saying, ‘OK, this business should compete on this basis. This is where we can win,’ kind of seeing around the corners.”
Big opportunity ahead
De Leon said he’s excited about how much more capital is coming in to commercial real estate — from wealth firms, family offices, sovereign wealth funds and pensions.
“When the allocations to real estate go from 3% to 6%, that number means that there’s like $4 trillion more of capital that is chasing a finite number of real estate assets,” he said. “When that happens, you see an oversupply of capital, you’ll see price appreciation for fundamentally sound real estate assets. And so I think the story of the next 10 years will be that the real estate capital markets will grow tenfold.”
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Orcl stock | Oracle stock dips 5% as Blue Owl Capital pulls out of funding $10 billion data center
Oracle stock dips 5% as Blue Owl Capital pulls out of funding $10 billion data center
- Oracle stock slid after a report that Blue Owl Capital won’t back a $10 billion data center for OpenAI.
- The cloud company later said that the project remains “on schedule” but that Blue Owl was out of funding talks.
- Oracle has $248 billion in lease commitments for data centers and cloud capacity commitments over the next 15 to 19 years.
Oracle stock dipped 5% on Wednesday following a report that discussions with Blue Owl Capital on backing a $10 billion data center in Michigan had stalled, although the cloud company later disputed the report.
Blue Owl had been in talks with Oracle about funding a 1-gigawatt facility for OpenAI in Saline Township, Michigan, according to the Financial Times.
However, the plans fell through due to concerns about Oracle’s rising debt levels and extensive artificial intelligence spending, the FT reported, citing people familiar with the matter.
This comes as some investors raise red flags about the funding behind the rush to build ever more data centers.
The concern is that some hyperscalers are turning to private equity markets rather than funding the buildings themselves, and entering into lease agreements that could prove risky.
Other AI names also sank on Wednesday, with Broadcom down 4%, Nvidia down 3%, AMD down 5% and CoreWeave falling 7%.
Blue Owl did look into the project, but pulled out due to unfavorable debt terms and the structure of repayments, according to a person familiar with the company’s plans who asked not to be named in order to discuss a confidential matter.
Blue Owl is still involved in two other Oracle sites, the person said.
The person added that Blue Owl was also concerned that local politics in Michigan would cause construction delays.
Oracle later responded to the FT report, saying the project was moving forward and that Blue Owl was not part of equity talks.
“Our development partner, Related Digital, selected the best equity partner from a competitive group of options, which in this instance was not Blue Owl. Final negotiations for their equity deal are moving forward on schedule and according to plan,” Oracle spokesperson Michael Egbert said in a statement.
The cloud company did not name the firm involved in current equity talks for the project.
“The notion that Blue Owl walked away is unequivocally false. This is an exceptional project that drew significant interest from equity partners,” Related Digital spokesperson Natalie Ravitz told CNBC.
Ravitz said the equity partner working on the project has “unparalleled expertise in the space” but did not name the firm.
The site, which is expected to begin construction in the first quarter next year, is currently in pre-construction with “strong support” from Michigan Governor Gretchen Whitmer, she added.
CNBC has reached out to the FT for comment.
The FT said that Blackstone is in discussions to potentially replace Blue Owl Capital as a financial partner for the data center, although no deal has been signed yet.
Blue Owl Capital has been the primary investor in Oracle’s data center projects in the U.S., including a $15 billion center in Abilene, Texas, and an $18 billion site in New Mexico, the FT said.
“This appears to be a case where the deal simply wasn’t the right one, and seasoned investors understand that success does not require winning every transaction,” Evercore ISI analysts wrote in a note on Wednesday.
The bank added that digital infrastructure remains a “core growth vertical” for the Blue Owl, noting an upcoming digital infrastructure fund in 2026 that would add to its $7 billion fund announced in May.
Oracle has $248 billion in lease commitments for data centers and cloud capacity commitments over the next 15 to 19 years as of Nov. 30, the company said in its latest quarterly filing. That is up almost 148% from August.
In September, the cloud computing giant raised $18 billion in new debt, according to an SEC filing. That same month, OpenAI announced a $300 billion partnership with Oracle over the next five years.
By the end of November, the company owed over $124 billion, including operating lease liabilities, according to the filing.
Oracle shares are down about 50% from the high of $345.72 reached in September.
Read the full FT story here.
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