allowing all of those AI plants that are being built to build their own electric generating force. And they're building them like nobody's ever seen. They're building a plant for $50 billion.You know, if you build a shopping center for $50 million, it's okay. It's not a bad shopping center. 500 million.You're talking about topof the line. They're spending 50 billion. I said, "No, you mean 50 million." "No, no, sir. We mean 50 billion." And then I saw some of them that were the size of Manhattan. ...

AI Technology & Market - The speaker expresses excitement about AI technology and the investments being made to deploy it in enterprises, anticipating significant productivity gains [4] - The market is currently optimistic about AI, potentially underestimating risks and overestimating the speed of adoption; adjustments and volatility are expected [5] - Despite potential short-term volatility, the long-term secular trend of AI is expected to bring extraordinary economic benefits and productivity gains [13][15] - Some AI-related assets may be overvalued, with earnings not meeting current expectations, which is typical in acceleration cycles [18] Capital & Financing - Hyperscalers are investing more of their substantial cash flow into AI projects and are considered financially strong [9] - Data center financing is viewed as real estate deals, with debt serviced by the output of the data centers, and the creditors are typically large, stable companies [10][11] - Private capital formation in new AI companies involves higher risk, with potential for both significant successes and failures [11][12] - Private credit is a large business, and it's important to differentiate between lending to established companies and financing data centers [21][25] - Underwriting standards and risk management are crucial in credit, and economic contractions will reveal the strengths and weaknesses of different lenders [26][27]

Industry Risk - Rising electricity demand from data centers is raising the risk of blackouts across a wide swath of the US during extreme conditions this winter [1] Regulatory Oversight - The regulatory body overseeing grid stability is monitoring the situation [1]

Market Trends & Economic Impact - Market faces key tests with Nvidia results and the September jobs report [2] - Data center buildout is moving to the "rodeo region" (Mountain West and Southwest), attracting billions in investments from tech giants [4] - Capital investment in semiconductor plants and data centers is an important component of overall US economic growth [7] - Google committed $40 billion to Texas, which will have significant knock-on effects on the regional economy, including construction and permanent employment [9] Technical Analysis & Market Performance - S&P 500 broke through its 50-day moving average, the first close below since just before May 1st [19][20] - Sector rotation is the lifeblood of the markets, with healthcare (XLV) up 9% since the beginning of the quarter, while the S&P 500 is negative [25][26] - Bitcoin is down 17% quarter to date and 2% over the trailing 24 hours, breaking support levels [28] - Ethereum is down 21% and Solana down 28% over the last month, indicating damage within the crypto ecosystem [30] - The US dollar index has risen off of lows but upside is limited, with 96 as a level to watch to the downside [31][32] AI & Technology - Grammarly rebranded to Superhum, with a current valuation of over $13 billion [33] - Superhum has 40 million daily active users worldwide, with about a third being students and two-thirds being professionals [36] - Superhum differentiates itself by focusing on "assist" AI, bringing AI to where people work in various applications [39][40] - Superhum does over 100 billion LLM (Large Language Model) calls per week [50] - Superhum generates over $700 million in revenue a year [51]

Tech Wall Street is bracing for Nvidia's earnings results out on Wednesday, but is the company still best positioned for the AI boom. Well, joining us now is Ben Barren from Creative Strategies. Ben, people have either lost or not made a lot of money betting against Nvidia, but how much Tiger is still in the tank here.>> Yeah, we we think a lot. I mean, on a couple of things. I mean, one, we're just witnessing sort of the shift from the Hopper era to the Blackwell era.And obviously with that moves to GPU cl ...

In my career working in AI, I have yet to meet a single person that ever felt like they had enough compute. >> I could not ask for a better guest, Andrew Angie, globally recognized leader in AI. >> Data centers are the critical infrastructure for building the digital economy.I think that open way models is a tremendous source of geopolitical influence. the work ethic, the velocity. When China's government makes a all nation commitment, it's all industrial commitment.That's actually very powerful force that ...

Data Centers, Crypto Mining To Push Electricity Costs Higher In 2026 https://t.co/NjBh4qhgjx ...

图：美国各州数据中心分布情况 当数据中心在美国各地悄然崛起，为互联网和人工智能提供强大驱动力时，一场无声的能源革命正以意想不到的方式，触及每个普通民众的钱 包。 巴尔的摩居民尼基·卡斯塔芬的经历，无疑是这场变革的缩影。即使她想方设法减少用电，电费账单依然像坐上了过山车，短短一个月内飙升 了20%。 这并非个案，马里兰州乃至全美，正经历一场由数据中心需求"引爆"的电费上涨危机，而专家警告，这恐怕仅仅是"冰山一角"。 数据中心：看不见的"电老虎" 互联网的运作早已离不开数据中心，它们是数字世界的"心脏"。然而，随着AI技术的蓬勃发展，这些庞大而"不起眼"的设施，对电力的需求达 到了令人咋舌的程度。 然而，负责监督PJM价格拍卖的独立监督组织Monitoring Analytics在报告中指出，将这种情况简单归结为供需不匹配，是"误导性的"。他们强 调，当前的电价飙升"几乎完全是由数据中心的大量负荷增加造成的"，仅数据中心一项，就使PJM最新的电力价格拍卖膨胀了超过93亿美元。 美国能源部在2024年的一份报告中预测，到2028年，数据中心将消耗美国全国总电力的6.7%至12%。这意味着，它们不再是边缘角色，而是实 ...

RT Sundar Pichai (@sundarpichai)Today, we're announcing a new $40B investment in Texas through 2027 to build Cloud & AI infrastructure and support thousands of new jobs.This includes new data centers in Armstrong and Haskell Counties and a major investment to strengthen energy resilience and abundance. We're also providing funding to more than double the projected pipeline of new Texan electricians to power the AI era.We've proudly called Texas home for 15 years. Thank you @GregAbbott_TX for your continued ...

Hey, John. So, Google is now planning to invest $40 billion in new data centers in Texas. That's according to Bloomberg.The move is part of the more aggressive capex commitment that Alphabet made. It just disclosed in its Q3 print a plan to spend as much as 93 billion dollars this year, putting it within striking distance of hyperscalers like Amazon. Uh, now this comes as Google has been landing big cloud contracts with Meta, Anthropic, and Open AI.It's also powering its own AI model, Gemini, in Texas. That ...