Nvidia Valuation & Growth - Nvidia's $4 trillion valuation is supported by strong data points, including Micron's better-than-expected HBM sales ramp-up [1] - The trend of spending more compute at the time of query, especially with OpenAI and Ceres, reinforces compute demand tied to inferencing, driving enthusiasm around Nvidia's runway [2] - Nvidia's revenue for the current year is projected to be $200 billion, even after accounting for the removal of China revenue [2] - Consensus estimates project Nvidia's revenue to grow to around $250 billion next year [3] - The stock price is just below $157 per share, with $164 per share needed to reach a $4 trillion market cap [3][4] Market Dynamics & Competition - Custom silicon from hyperscalers and competition from players like AMD pose a threat to Nvidia's current monopoly [5] - Nvidia's move to open up its platform and support other chips, including Broadcom gear, is a strategic response to competition and helps integrate with their NVLink [6] - The opening up of the ecosystem is a wise move as investments companies are making in Nvidia stack now can support some other chips [6] Long-Term Outlook - The question remains how long Nvidia can maintain its durable monopoly, given the various factors described [7] - Currently, Nvidia is executing very well [7]

Collaboration & Innovation - Crusoe and Redwood Materials are partnering to create North America's largest microgrid [1] - The microgrid will be powered by large-scale solar and recycled EV batteries [1] Technology & Energy - The project aims to power the AI revolution [1]

Company Claim - Trump Mobile removed language claiming its phone is made in the USA from its website [1] - Bloomberg's Ed Ludlow provides updates on the company's claim [1] Media & Information - Bloomberg Technology provides tech news from Silicon Valley and around the world [1] - Bloomberg Business can be found on X, Facebook, Instagram, LinkedIn, and TikTok [1]

Industry Overview - China's embodied AI industry is experiencing rapid growth, encompassing industrial automation, autonomous EVs, delivery drones, and advanced robotic humanoids [1] - China produced nearly 100 embodied AI robotic products and holds 70% of the global market share [2][3] Government and Investment - The central government has allocated approximately $138 billion for the development of humanoid robots for both industrial and personal applications [4] Job Market - Job openings in China's humanoid robotics sector have quadrupled this year, with algorithm engineers' salaries exceeding the average urban pay [5] Company Examples and Products - Hangzhou-based Unitary offers the four-foot two-inch H77 G1 AI Avatar for $16,000 [5] - The Go1 door, equipped with lidar and 12 flexible knee joint motors, is available for $600 [6] - Lenovo's six-legged Daystar is used for inspection and diagnostic tasks in hazardous environments [6] Future Outlook - Chinese robots are expected to offer a competitive price-performance ratio, supported by state policy and funding [7] - A wide range of new embodied AI products are anticipated to emerge [7]

Bloomberg’s Caroline Hyde and Ed Ludlow discuss Micron’s earnings as its sales surge in its high-bandwidth memory business. Plus, Managing Director of Baird Ted Mortonson discusses opportunities in the defense tech space. Chinese tech giant Xiaomi also says it received more than 200,000 pre-orders for its first electric SUV. Chapters: 00:00:00 - Intro 00:04:19 - AI Fuels Investor Tech Demand 00:17:32 - CoreWeave Stock Surge Propels CEO to Rich List 00:26:05 - The Future of Defense Spending 00:35:20 - Cyber ...

CAROL: PIPER, MORGAN STANLEY, JP MORGAN. THEY ARE STILL EXPECTING THE STOCK TO GO HIGHER. TIM: LET'S TALK NVIDIA, SHARES HIGHER BY 1.2%.3.8% TRILLION DOLLARS IS THE MARKET CAP RIGHT NOW. IT DID SURPASS MICROSOFT TO BECOME THE WORLD'S MOST VALUABLE PUBLICLY TRADED COMPANY. THE LAST TIME NVIDIA HIT A NEW RECORD WAS PRE-DEEPSEEK IF MY CALCULATIONS ARE CORRECT.WHAT HAS HAPPENED SINCE THEN. TO GIVE INVESTORS THE CONFIDENCE THAT THIS COMPANY CAN STILL MOVE HIGHER. ED: YOU HAVE TO LOOK AT AI AS AN ECOSYSTEM AND WH ...

How much do investors want to be in on the chip, the infrastructure names that broaden out perhaps. Well, the portfolio manager for this fund, Tony Kim, is really looking across the value chain for opportunities in artificial intelligence. But right now, where he sees some of the biggest opportunity is in those infrastructure and hardware names.If you look at where the money is being spent on A. I. today, the almost quarter of $1,000,000,000,000 being spent by the Mega-cap tech names is being concentrated i ...

On the live feed. During the presentation, I noticed there were several million people tuned in on eggs. What do we know about this new SUV and the appetite here for Jeremy.Yeah, the excitement around show me and its electric vehicles is quite something. The founder late June just did this presentation in Beijing a little while ago and he talked about this new SUV. It's going to be priced around $35,000 at the low end.It'll go up to about $46,000. And he took aim directly at Tesla. Tesla's Model Y is the be ...

There's anywhere we could take this. Right. But let's just start with the basics.The US government and its military industrial complex or the defense industrial base. How modern is it. In the scheme of everything. Ted, we just discussed in the show.It's getting more modern. I would say the reality is that today the defense industrial base is still quite traditional. And you can look at the recent strikes on Iran as a perfect example of that.Yes, we know that fifth generation fighters escorted B-2 bombers to ...

Copyright & Fair Use - Entropic acquired over 7 million pirated books and later physical copies to train its large language models [1][2] - A judge ruled that using physical copies to train AI models constitutes fair use, but not the pirated copies [3] - An appeal is likely regarding the fair use ruling [4] - The ruling hinges on whether ingesting information for AI training is considered fair use, which would allow companies to use data without compensation [5] Industry Implications & Concerns - Generative AI benefits from the fair use ruling, but companies face navigation challenges [5] - The industry is keen on the fair use ruling, as it allows for data ingestion without payment [6] - Publishers fear that AI could reduce book sales if people can obtain information directly from AI [6] - There are concerns about the incentive for authors to write new books if their work is used by AI without commercial benefit [7]