Hey Mike. So cloud compute is not enough anymore. OpenAI has maxed out what it can get from the hyperscalers and I'm now learning that since January they have been running a stealth site search.This high stakes competition has drawn more than 800 proposals from across North America. About 20 sites are now in latestage diligence with large tracks of land under review in the Southwest, Midwest, and increasingly the Southeast where Meta also has a10 billion buildout underway in Louisiana. Now, I spoke exclusiv ...

OpenAI may have just unveiled that nearly trillion dollar plan to expand its infrastructure footprint, but behind the scenes, the AI leaders been running a secretive competition to pick data center winter winners. Our Mackenzie Sagalos has those details in today's Tech Check. Hey, Mac. Hey, Carl.So, OpenAI has been quietly searching since January for where to plant its next generation of supercomputing sites, a competition that's drawn more than 800 bids so far. I spoke exclusively with Keith Hyde. He is th ...

In an economy where data centers are driving most of the growth, the acquisition-powered sales gains that companies like Roper and Idex have to offer don’t stand out as much to investors. https://t.co/Yu3oN867IX ...

AI Compute & Investment - The AI industry is seeing a circular flow of investment, with companies like Nvidia vendor-financing entities like OpenAI, who then purchase their chips, making it difficult to finance the projected $5 Trillion in AI compute spend by 2030 [1] - OpenAI aims for 250 Gigawatts of compute by 2033, a figure that raises questions about capital requirements and energy production, especially when compared to the total energy capacity of countries like India at 223 Gigawatts [4][5] - The industry anticipates significant spending on AI software, potentially reaching $10 Trillion by 2030 for knowledge work productivity, requiring $2 Trillion in underlying chips and another $2 Trillion in data center infrastructure [2] AI Market & Monetization - The AI chatbot market is projected to reach 5 Billion users by 2028-2029, but monetizing this user base profitably remains a challenge, requiring either indirect monetization methods like advertising or a take rate on transactions [1][2] - The current AI industry model involves directly charging users for access to compute, with companies like OpenAI reporting gross profitability at a $20/month subscription fee [1] - The industry is still in its early stages, comparable to the internet in 1995, with potential for significant growth and the emergence of new major players [1] AI Application & Development - AI is making prototype generation easier, but moving from prototype to production requires sustained effort, with many AI projects failing to deliver cost reductions or new products/services [4] - The industry is seeing a plateau in vibe coding usage, indicating that the initial spark of AI needs sustained effort to translate into tangible results [4] - AI is revolutionizing biology, enabling the interpretation of complex data and the manipulation of underlying biological processes, with the ARC Institute contributing significantly through advances in gene editing and synthetic biology [15][16][17][18][19] Energy Consumption & Infrastructure - Increased data center demand for electric power could lower electric power prices for everyone, as data centers require base load capacity, enabling more efficient grid utilization [5] - The industry should shift towards electricity as the primary energy source, with data centers playing a key role in this transition [5] Longevity & Capital Allocation - The ultimate destination for capital is extending biological lives, with the potential to create a multi-Trillion dollar market in the longevity space [23][26][27]

Diana Olick: Despite its name, Schneider Electric does not generate electricity. It's an energy management company mixing electrification and digitization together so customers like Nvidia know exactly where their energy is consumed and can then optimize in real time their energy usage. I sat down with company chairman Jean-Pascal Tricoire, who has been with Schneider nearly 40 years, but says he has never seen a revolution in energy technology like he's seeing now.Jean-Pascal Tricoire: AI is a revolution o ...

AI Impact & Utility Law - AI is becoming an increasingly large part of the world, impacting national security and everyday activities like Google searches and texting [2] - There's an argument that everyone is using AI [2] - An old utility law exists where costs are shared among everyone [2][3] Cost Socialization - Costs for new grid connections are socialized among all users [3] - Utilities are applying this principle to large new customers like data centers [3] Individual vs Collective Responsibility - Individuals adjust electricity usage based on personal needs (air conditioning, heating) [1] - The question arises why individuals should pay for data center expenses [1]

Key Points The announcement of a partnership with Nvidia has changed the narrative around the stock. Navitas has never made a profit and is unlikely to do so anytime soon, but its growth could be explosive given its role in a new generation of data centers. 10 stocks we like better than Navitas Semiconductor › Shares in Navitas Semiconductor Corporation (NASDAQ: NVTS) soared by 23.2% in September, according to data provided by S&P Global Market Intelligence. The move marks another leg up for a stoc ...

Buyout firm Zegona is considering a sale of the five data centers that came along with its purchase of Vodafone’s unit in Spain, according to people familiar with the matter https://t.co/ikkImORvkN ...

Business Overview & Growth Drivers - Ferguson's business is largely unaffected by the government shutdown due to its focus on private capital construction projects like data centers, pharmaceutical production, and chip manufacturing [3] - The company is experiencing a renaissance in US production, driven by large projects, data center activity, onshoring/reshoring trends, and a desire to bring supply chains closer to the US [5][6] - Ferguson sees continued acceleration in data center construction, with growing open order volumes and bidding activity [15][16] - Large capital construction projects (>$400 million) are driving growth for Ferguson [17] Macroeconomic Factors - Rate cuts could positively impact both residential and non-residential construction, particularly hospitality and multifamily construction [8] - A reduction in 30-year mortgage rates is desired to improve housing affordability and stimulate remodel activity, with a target of sub-6% mortgage rates to trigger increased activity [9][11] - The US has a housing deficit of 3 to 5 million units, requiring increased construction to improve affordability [10] Challenges & Opportunities - A worker shortage in the trades is a concern, and Ferguson is actively involved in encouraging and developing the trades through its "Ferguson Cares" philanthropic program [19][20][22] - Ferguson aims to improve the productivity of trade professionals to mitigate the impact of the worker shortage [12][13][22] M&A Strategy - Ferguson, a $30 billion revenue company in a $340 billion market, competes with roughly 10,000 small to medium-sized businesses [23] - The company pursues acquisitions to consolidate the industry and provide succession plans for independent owners, aiming for 1-3% annual revenue growth through this strategy [23][24]

New AI data-centres are springing up in the middle of nowhere in America, rather than in established clusters. Such isolated locations solve a power problem—but also introduce risks https://t.co/ns5Ibv6TUh ...