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U.S. Regular Gasoline Prices (dollars per gallon)

 

Gasoline and Diesel Fuel Update – U.S. Energy Information Administration (EIA) 
11/17/25 11/24/25 12/01/25 week ago year ago
U.S. 3.062 3.061 2.985 -0.076 -0.049
East Coast 2.953 2.985 2.931 -0.054 -0.058
New England 2.980 2.996 2.971 -0.025 -0.041
Central Atlantic 3.131 3.122 3.086 -0.036 -0.034
Lower Atlantic 2.834 2.896 2.824 -0.072 -0.076
Midwest 2.907 2.858 2.740 -0.118 -0.162
Gulf Coast 2.600 2.643 2.551 -0.092 -0.030
Rocky Mountain 2.949 2.872 2.783 -0.089 -0.004
West Coast 4.120 4.070 4.031 -0.039 0.168
West Coast less California 3.746 3.702 3.672 -0.030 0.151

 

Baird Research: Distributors Expect Growth in 2026

In the exclusive tED magazine/Baird research for the 2025’s third-quarter, NAED distributors point to indications of “healthy mid-single digit” growth for next year. 18 distributor companies representing more than $7 billion in annual sales responded to the third quarter survey, which showed revenue growth in the third quarter and a rise in pricing trends. Respondents say they expect to see a 5.4% growth rate in electrical next year, along with a 4.5% growth rate in Datacomm. Those forecasts are generally in line with the broader distribution industry, which anticipates a 4.7% growth rate next year. Baird Research: Distributors Expect Growth In 2026

How AI Is Ushering in a New Nuclear Age

Atomic energy is back, thanks to the ravenous demands of AI, favoritism from Trump, and the zeal of young entrepreneurs raising billions to build mini-reactors. The upside is unlimited. So far in 2025, venture capitalists, stock market investors, billionaires, the DOE and others have poured more than $4 billion into these and other new U.S. nuclear ventures, versus closer to $500 million in 2020, per PitchBook.  Tens of billions more will be needed if nuclear power is to make a comeback. Sure, lots of folks still oppose nuclear reactors, particularly in their own backyard. But support is now both broad-based and top-down. The Nuclear Power Entrepreneurs Getting Rich From AI

Toyota to Invest $912 Million in U.S. Plants to Increase Hybrid Vehicle Production by Michael Wayland

Toyota Motor on Tuesday announced plans to invest $912 million in U.S. manufacturing plants in five Southern states as part of a previously announced plan for the company to invest up to $10 billion domestically by 2030. The investments announced Tuesday are broadly meant to support increasing production of hybrid vehicles, which Toyota leads with a more than 51% market share through the third quarter of this year, according to Motor Intelligence data. Most of the investments are expected to be completed by 2027.  The investments are expected to create 252 new jobs.  Toyota and the entire automotive industry have been trying to navigate production plans amid regulatory changes impacting all-electric vehicles and Trump’s litany of tariffs this year on new vehicles and auto parts.  Toyota to invest $912 million in U.S. plants to increase hybrid vehicle production

US to Own Nuclear Reactors Stemming from Japan’s $550 Billion Pledge

The US plans to purchase and own up to 10 nuclear reactors using Japan’s $550 billion funding commitment, part of a $332 billion investment in US energy projects. The initiative, driven by rising electricity demand for AI and manufacturing, is part of a broader strategy to accelerate the development of energy infrastructure. US to Own Nuclear Reactors Stemming From Japan’s $550 Billion Pledge – Bloomberg

Trump Wins Saudi Pledge to Boost US Investment to $1 Trillion

Mohammed bin Salman pledged to increase Saudi investment to $1 trillion. The original $600 billion plan envisioned expanded Saudi trade and investment over four years, spanning energy, infrastructure, technology and defense cooperation. Recent deals linked to the pledge already include huge orders for U.S. weapons and advanced artificial-intelligence hardware, as Saudi-backed firms sign agreements with chipmakers and cloud providers to build data centers and AI hubs.  The money is expected to land in U.S. factories, energy projects, construction, and cutting-edge tech. Trump Wins Saudi Pledge to Boost US Investment to $1 Trillion | Newsmax.com

Now Tech Moguls Want to Build Data Centers in Outer Space by Tim Higgins

Energy constraints in the artificial-intelligence race are causing tech companies to think out of this world. The world’s richest men are earnestly talking about traveling to outer space to build gigantic data centers to run artificial-intelligence models among the stars. They argue such missions make the most sense for powering energy-hungry operations. Such talk comes as Jeff Bezos’s Blue Origin and Elon Musk’s SpaceX rocket companies are working to make space travel cheaper and routine. It isn’t clear what’s closer to being real: Moon bases or superintelligent AI?  The argument essentially boils down to the belief that AI’s needs are eventually going to grow so great that we need to move to outer space. There the sun’s power can be more efficiently harvested. To be clear, the current economics of space-based data centers don’t make sense. But they could in the future, perhaps as soon as a decade or so from now. Now Tech Moguls Want to Build Data Centers in Outer Space – WSJ

Google to Invest $40B in AI Data Centers, Workforce Training Across Texas by Claire Hao, James Osborne

Google plans to invest $40 billion into artificial intelligence data centers and related workforce training across Texas through 2027. That includes plans to build three new data centers – two in Haskell County and one in Armstrong County. It’s the latest massive investment from tech giants racing to surpass each other in the development of artificial intelligence. Amid this rush, Texas has emerged as one of the most attractive states for new data centers, given its ample land, relatively cheap electricity for large industrial users and abundant energy resources.  Google to invest $40B in AI data centers, workforce training across Texas

Anthropic, Microsoft Announce New AI Data Center Projects as Industry’s Construction Push Continues by Matt O’Brien

Artificial intelligence company Anthropic announced a $50 billion investment in computing infrastructure on Wednesday that will include new data centers in Texas and New York. Microsoft also on Wednesday announced a new data center under construction in Atlanta, Georgia, describing it as connected to another in Wisconsin to form a “massive supercomputer” running on hundreds of thousands of Nvidia chips to power AI technology. The latest deals show that the tech industry is moving forward on huge spending to build energy-hungry AI infrastructure, despite lingering financial concerns about a bubble, environmental considerationsand the political effects of fast-rising electricity bills in the communities where the massive buildings are constructed. Anthropic, Microsoft announce new AI data centers

Meta to Spend $600bn on US Data Centers by 2028

Meta claims it will spend $600 billion on digital infrastructure in the US over the next three years. Data centers are “crucial” to helping the company reach its goal of “building superintelligence for everyone” and “helping America maintain its technological edge,” the post said. Quite how Meta intends to fund this is unclear. The company posted annual revenue of $62.3 billion in 2024, and $600 billion figure is more than double the amount the firm has made during its 15 years as a public company. Meta has around 30 data center campuses in operation or development globally. Meta to spend $600bn on US data centers by 2028 – DCD

Why Use AI – 5 Reasons besides making us smarter:

  1. Efficiency and Automation: AI can automate repetitive tasks… saves time and reduces human effort
  2. Data Processing: AI excels at analyzing large datasets quickly… uncovers patterns and insights that humans might miss
  3. Scalability: AI systems can handle growing workloads… without a proportional increase in costs or resources
  4. Accuracy: AI can perform tasks with high precision… reducing errors in areas like diagnostics or forecasting
  5. 24/7 Availability: AI tools can operate continuously… improving productivity and customer support