Just wanted to share that from my recent talks in board meetings and with executives globally, the consensus is that companies are indeed laying off, and these numbers are accurate that I share below and maybe you have seen also around . You can verify them yourself. While they largely represent cumulative cuts and aggressive restructuring from 2023 through early 2026, the direct job eliminations are very real. I checked some of the biggest tech and legacy players: - Amazon: 30,000 (Cumulative cuts across corporate and managerial roles) - Intel: 25,000 (Aggressive restructuring to pivot toward the AI market) - Microsoft: 15,000 (Accumulated over several rounds of tech-sector corrections) - Dell: 12,000 (Massive sales team reorganization) - Salesforce: 4,000 (Role eliminations to reallocate funds toward AI development) - GM (General Motors): 3,300 (Cuts across autonomous vehicle divisions, software, and factory shifts) In the energy industry, we are going through the exact same ruthless transition, and the ones losing their jobs are the ones who have completely failed to adapt to new technologies and who rely on an old mindset. The industry is rapidly pivoting into professionals who understand / explain/ can storytell machine learning models, AI integration, optimization etc. The professionals who are aggressively upskilling and learning how to integrate data science into traditional energy workflows are the ones keeping their seats . If you think that energy is "safe" and all I have to do is "just go to meetings, and do coffee breaks" this is not the truth! "Oh I studied 5 years. I am now going to have a relaxed professional life". No! Constantly improve your skills. Never settle. Those who think 'energy is just writing reports and go to meetings" may get anytime a phone call "My friend, I love you. But I am sorry to say, you are among those who are going to be laid off. I am truly sorry. You know how much I care but I am sorry. It is a company policy". And that's it.

Space based solar power means to deploy large solar photovoltaics panels on satellites to collect sunlight and then beam the energy to Earth in the form of microwaves. On earth, huge ground receivers would convert it into electricity for the grid. It could help provide steady low carbon power and might become cost competitive by 2040, but early systems would be very expensive and face major technical, safety, and space security risks. See the attached screenshot for how it will work. A new report about this topic has been published in 'Classroom' , at the very end In the section "Energy Industry Support" (a special section with reports that explain the current status and trends in the energy sector). It is written in simple, easy-to-understand language with every terminology/jargon explained. It has been written by compiling data from official sources (Financial Times, Bloomberg, Wall Street Journal, the Economist, Forbes, Investors Chronicle etc). Feel free to use this report in your projects, work, or studies. Reading these reports can help with interviews, meetings, presentations, networking, and public speaking, so it is strongly recommended. “

The attached plot shows the level of electricity in Africa. How best can it increase? using smart grids? micrograms?

Since linear and logistic regression are supervised models and are frequently used for exploratory analysis in data mining, would it be accurate to say that the distinction between data mining and machine learning is primarily methodological (discovery vs prediction) rather than algorithmic? Please feel free to share any experiences choosing to use data mining for Energy or any other industry.

A hedge fund is an investment firm that tries to make profits using many different trading strategies. More and more hedge funds and trading firms are moving beyond “paper trading”. Paper trading is where they are buying and selling financial contracts linked to oil, gas, or power. It is about trading financial contracts (futures, options, swaps) where the trader never actually touches the physical asset. Traditionally, hedge funds are financial entities, not logistical ones. They almost exclusively trade "paper" while leaving "physical" trading to commodity trading houses (like Glencore, Vitol, or Trafigura) and industrial producers (like Exxon or Cargill). So, paper trading is when hedge funds are buying a contract on an energy commodity like oil, and buy it to bet that its price will go up. Before the contract expires, they sell the contract to someone else. The only thing that changes hands is cash. Hedge funds now are also moving into Physical Trading i.e. they are buying a number of actual barrels of oil, putting them on a ship, storing them in a tank, and delivering them to a refinery. Hedge funds historically avoided physical trading. Physical trading requires ships, warehouses, pipelines, and insurance. It involves dealing with weather delays, customs, and quality degradation (e.g., grain rotting). Hedge funds are built to move capital, not cargo. Also, hedge funds thrive on leverage. It is much easier to get 10x leverage on a financial futures contract than it is to get a bank to lend you money to buy physical coal. However, in recent years, hedge funds (like Citadel, Millennium, Balyasny, and Point72) have built out physical trading desks, particularly in energy (natural gas and electricity). The full report is inside Classroom ---> 6.2. Sources: [1]: Financial Times: https://www.ft.com/content/598c3bfc-008c-438f-837c-f7ec73a993f6 [2]: The Economist: https://www.economist.com/finance-and-economics/2025/06/26/why-commodities-are-on-a-rollercoaster-ride