companies

Tech companies don’t want new graduates because they believe that AI is going to annihilate them. IBM is hiring non-stop

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The business world is so terrified of AI that recent graduate hiring is in crisis. However, there is a company that is just going in the opposite direction: IBM not only has not frozen these hirings, but is tripling them. And his argument is powerful. IBM wants new graduates. “We are tripling our hiring of junior positions,” explained Nickle LaMoreaux, IBM’s top human resources officer, in a interview at Charter. In fact, he highlighted, those positions they are filling “are for software developers and for all those jobs that they tell us AI can do.” It is a surprising statement, especially considering that the market trend is just the opposite. Unemployment among recent graduates—and among young people—is at record levels in the last decade in the United States. Source: Federal Reserve Bank of New York. The problem of unemployment in Gen Z. The young people of the generation Z (Born between 1997-2012 approximately) face one of the most complex times when looking for a first job. In the United States, the unemployment rate for recent graduates is at 5.6%, the highest in the decade except for the time of the pandemic. Managers of technology companies have been warning for some time that AI is going to greatly impact work, and especially in the field of programming. Junior profiles with a new focuseither. While competitors appear to show growing interest in replacing entry-level positions with automation — 37% plan to do so according to Korn Ferry—, IBM is changing the mentality. Newbie software engineers won’t spend their days chipping away at routine code that an AI can generate. Instead, they will focus on interacting with clients and monitoring model results. AI no longer replaces the junior, but forces him to be more strategic from day one. IBM is not the only one to think this way. Although it seems that the trend towards automation is clear, IBM is not alone in this flight forward. Dropbox is doing the same, and its head of human resources, Melanie Rosenwasser, believes that Gen Z has a fundamental advantage: they are better prepared to work with AI than veterans. According to her, “it’s as if (the young people of Gen Z) were on their bikes in the Tour de France while the rest of us are on training wheels,” she said. on Bloomberg. But. IBM’s move is not without a certain cynicism. The company made this announcement a week after carry out a mass layoff to focus on growth areas. It is as if they have created a revolving door in which they have removed expensive seniority to let in cheaper youth. AI as an amplifier. Be that as it may, the CEO of IBM, Arvind Krishna, defends this strategy – logical – indicating that AI is not a substitute for human capacity, but rather an amplifier. The speech, whether we believe it or not, represents a unique commitment, especially now that companies seem to propose that they will do the same with many fewer employees. For IBM, the bet is on loyalty and knowledge cultivated from the base instead of subordinating everything to algorithms. “Developers, developers, developers!”. At the .NET event that Microsoft organized in 1999, the famous viral moment occurred in which an overexcited and sweaty Ballmer sang that from “Developers, developers, developers!” non-stop. The company was trying to attract talent again with that speech, but in reality that work had been intense years before. Hiring recent graduates worked very well for Microsoft. Steven Sinofsky, who led the development of Windows 7, told on Twitter how Microsoft became what it was thanks to its strategy of hiring recent graduates—even if they had not completed their degree. The development of Office, for example, was especially nourished by these young people, but that strategy was stopped. As Sinofsky explains, “The ‘dark times’ were accentuated by a forced pause in hiring recent graduates, and the consequences were felt five years later.” In Xataka | “They are much more daring”: Gen Z is overturning all labor consensus in its massive entry into work

The sun never set in the Spanish empire. AI is achieving that in some companies neither

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There was a time when the Spanish empire did not set the sun. Their domains ranged from the colonies in America, to Europe and Southeast Asia. In the 21st century, global technology startups are recovering that model to develop your AI-based products 24 hours a day. When a team in San Francisco is finishing its work shift, its work continues in Europe, and then moves on to Asia, ensuring that development does not stop. The “follow the sun” model is not new, but the combination of distributed remote work and the development of AI has turned it into a formula to stay ahead of the competition, without exhausting the workforce. The IBM empire in the 90s. In the 90s, IBM was an empire on which the sun did not set either. He IBM giant was one of the first to try the “follow the sun” model (Follow The Sun or FTS) with a team of five offices spread over different time slots to chain days and shorten software development times. This model is based on the concatenation of days. Each group works during its normal day. When this ends in an office, the day begins in the next time slot that collects the witness of the work of his colleagues. The process is repeated throughout the day, synchronizing the journey of the star through the sky with the different work days throughout the planet. Although in principle this model ran into some difficulties due to the poor performance of the connection networks of the time, IBM refined the process and managed to reduce projects by up to 67% by coordinating three offices in the United States, Australia and India. A model that makes sense with AI. Today, Silicon Valley has stepped on the accelerator pedal of AI and new startup founders technologies have embraced days “996” in which all hours of the day that are dedicated to product development they are few. As and as I pointed out analyst and software engineering expert Gergely Orosz, in the context of high competitiveness in the development of AI models experienced by the startup ecosystem on the west coast of the United States, more and more companies are choosing the “follow the sun” model to add normal days for teams in different countries. Thus, a model designed in Europe is tested on equipment in Asia at night and reviewed in California the next morning. The development machinery does not stop. Global clients, local attention. Likewise, the clients of these technology companies are spread all over the world, so offering a technical support service is complicated if it has to be done from a single location. According to data From Zendesk, 73% of customers switch to competitors due to bad experiences with support servicesso the distributed remote system allows the change of time slot so that the service adapts to the languages ​​and local culture of each region. The user who needs help always speaks to someone during their normal hours, no matter where they live. ​The push for AI and remote work. The rise of AI has improved the efficiency of the system at its most critical moment: shift change. This was one of the points that was most difficult for IBM managers to polish in the 90s. AI tools have helped unite shifts with chatbots that resolve doubts to employees, agents who summarize conversations with customers, prepare error reports or give solution ideas based on the context of the information that has been collected throughout the shifts, so as not to lose details when changing teams. Companies that have opted for this model in which the sun does not set highlight that products are developed faster, there are fewer unresolved cases by the support service and customers see the company as always available. Companies, especially technology companies, opted for elimination of teleworking and back to the office. However, no one said that this office should be on the same continent as that of their colleagues. A new evolution of remote work. In Xataka | Three Spanish companies tell us how they fared after implementing a work utopia: the four-day week Image | Unsplash (James Harrison)

The Government remains committed to ending telephone SPAM and is now targeting electricity companies. It’s still a shot in the air

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The Spanish Government’s crusade against SPAM calls continues. At the beginning of the week, the Ministry for the Ecological Transition and the Demographic Challenge approved the new General Regulations supply, marketing and aggregation of electrical energy. The main purpose of this is, according to the Government, to protect consumers through new measures. And one of them collides head-on with a recurring practice of marketers: SPAM calls. The measure. After the entry into force of the new regulation, telephone calls to advertise or contract services are prohibited, as long as “they have not been expressly requested by the consumer in advance or they are the one who calls the company.” It will not have immediate effect, companies will have four months to adapt to the regulations, under penalty of fines of between 600,000 and 6,000,000 euros if they fail to comply, according to the Law 24/2013, of the Electrical Sector. There is more. In addition to the prohibition of calls without express consent, the Royal Decree establishes the obligation to provide a completely free customer service number, as well as a maximum period of 15 days to respond to user claims and complaints. It is also prohibited to cut power to electro-dependent consumers on holidays and eves. Very nice, but. Although the Government has been trying to tackle the SPAM problem for more than a year, the reality is very different. According to the OCU, 99% of Spaniards (me among them, this week) continue to receive unwanted calls. Some companies continue to take advantage prior consent to send advertising communications, and others are providing their call centers with telephone numbers outside the traditional prefixes to continue with their practice, despite the fact that the law penalizes it. An endless war. The war against SPAM does not only affect Image | Xataka In Xataka | If you are tired of receiving spam calls every day, good news: MasOrange is tired too

The US spent $600 billion building its highway network. It’s less than what big tech companies are going to spend on AI this year

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The irruption of ChatGPT in the technological panorama in 2022 marked the starting signal in the AI ​​race; a race in which, year after year, large technology companies continue to increase their spending without stopping. 2026 has just begun and, far from letting it go, the big tech They have put their foot even further on the accelerator. All but one. walk or bust. We already know the planned capex for 2026 of the main technology companies, that is, what they plan to invest in capital expenditures. amazon: 200,000 million Alphabet: 175-185 billion Goal: 115-135 billion Microsoft: 140,000 million Apple: 13,000 million If we add it up taking the highest figures they have given, it is 673,000 million dollars, if we take the lowest figures it would be 643,000 million. In any case it is outrageous. In 2025 the figures were already dizzying and we are talking about an increase of around 60%. There has come a point where we have to stop and ask ourselves: How many zeros does that have? (yes twelve). Context of this madness. Here are a few comparisons to put this figure in context. It is superior to Sweden GDP in 2025 (662,000 million), that of Israel (610,000 million) and that of Singapore (574,000 million). As pointed out this user in Xexceeds what it cost to build the entire US interstate highway system (about 634,000 million) and is a quarter of the entire global military spending in a whole year. It’s like spending $1.2 million per minute for an entire year. It doesn’t make any sense. The market response. The fear of a bubble was noted after the announcements of the different companies, causing sharp falls in the stock market despite the fact that all of them have made profits (some breaking records). amazon fell 12% after announcing a capex of 200,000 millionmuch higher than forecasts Alphabet (Google) achieved record revenues, but it was not enough to convince the markets and its shares fell 10% in the following days Goal also announced record revenue and they had a 10% increase. However, days later things changed and they fell 8%. Microsoft fit the strongest blow, with a drop of 18%. Additionally, they revealed that 45% of their cloud business contracts are for OpenAI and the market does not reward dependency. Apple was the winner, with an increase of more than 7% since they announced results. The declines have been corrected in recent days and all companies have seen their value stabilize, but the message was clear: investors fear that this level of capex is far ahead of the ability of AI to generate profits in the short term. Where are they going to get the money from? It’s the big question. As stated in Financial Timescompanies must choose between reducing shareholder returns, using their cash reserves, or borrowing more money. In the case of Amazon, estimates point to a cash flow of 180 billion, Alphabet 195 billion and Meta 130 billion. The threat of free cash flow falling into negative territory is there, so we can expect them to issue more debt and stop share buybacks. Think different. Then we have Apple, which announced revenues of 144 billion in the last quarter, boosted by sales of the iPhone 17 during the Christmas campaign. Its capex is a fraction of what other companies have spent because Apple doesn’t build data centers, it outsources them. He agreement with Google to use Gemini can be interpreted as They have lost the AI ​​racebut in the context of a possible bubble it is a masterstroke: Google is the one who assumes the brutal spending on infrastructure and who is exposed to the bubble, while they benefit from their technology and see how the market rewards them for spending less. In Xataka | What have Apple and Google agreed on for the new Siri? Nobody knows because Google doesn’t even want to mention it. Image | Photo of Adam Nir in Unsplashedited

Companies are replacing junior workers with AI. Now it’s time to pay the consequences

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When artificial intelligence appeared on the horizon, the first thing we thought was that it was going to retire us. Later, he was going to retire the most senior profiles and now we know that it is just the opposite: is stopping job access to junior profiles. In the past, companies competed fiercely to attract young talent, but now Gen Z has found its great rival in AI. Beginners? No, thanks. This Revelio Labs job report reveals that entry-level hiring has fallen by 35% in the United States since 2023. And it is one of many studies: this other of job offers estimates the drop in junior offers between 11 and 20% in the last year. The phenomenon is not exclusive to the United States: in Spain these data from El Confidencial They report that the Big Four are going to reduce the hiring of people under 30 years of age by between 10 and 20%. In the UK, more of the same. AI boosts productivity… if you’re the boss. The business premise is that artificial intelligence can carry out these tasks of those people with a junior profile such as documentation, testing or writing basic code. It is not that these tasks have disappeared within the workflow, it is that they have been absorbed by higher levels in a twist of efficiency and productivity: senior profiles supervise what the AI ​​does. And if, AI screws up. To the question of how many hours of work per week does AI save you? from the consulting company Section collection in The Wall Street Journal There is a clear divergence between managers and staff: 40% of workers think that they are not saving anything because even if there is a quick response, there are errors and hallucinations. When you take into account the time spent going through everything, checking and redoing, the beads are not so round anymore: this Asana studio shows that employees spend 4.5 hours per week correcting AI work. The boomerang effect. That youth encounter yet another obstacle to having a full adult life is a real drama in terms of unemployment, but this paradigm shift in hiring is also a total threat to the stability of the technological infrastructure as we know it: The illusion of efficiency. AI chops code faster than anyone else, but that raw data is misleading because it doesn’t consider side effects like validation. Operational risk. If the AI ​​does not have human supervision at each step, it can make critical errors, serve as an example when half the internet went down for the total automation of Amazon servers. Of costs and responsibilities. If the AI ​​makes a mistake and it reaches the final chain of the process, that is, delivery to the customer, it is paid. Let them tell Deloitte, they had to reimburse the cost of a report prepared for the Australian Department of Employment and Industrial Relations because it contained hallucinations. A demographic bomb. All of the above is a toll that many companies seem willing to pay for the sake of that efficiency, but there is a devastating effect on a large scale in the medium and long term: the knowledge gap. When these senior profiles retire, there will be no one who can replace them simply because you have eliminated the training ground that is experience. The figures have spoken: between 2024 and 2032, 18.4 million professionals in the United States will retire according to this study from Georgetown University. However, only 13.8 million new workers will gain access. About to explode. Part of the work of senior profiles includes mentoring and all its intrinsic benefits: there are studies that confirm that increases motivation, promotes psychological well-being and even reduces exhaustion. In short: saturation of tasks, inability to delegate and the loss of that added bonus of teaching: there are many ingredients for the recipe for burnout. In Xataka | If AI is going to leave us without jobs, in the United Kingdom they are already seriously discussing the solution: a universal basic income In Xataka | We believed that the AI ​​talent war is about engineers and developers. Actually, it’s about plumbers and electricians.

companies prefer investors

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For 99% of the world’s population, salary is the main source of wealth since it is their only way of income main. However, the data collected by one of the largest fixed income managers, point out that the weight of salaries in global wealth is at its historic lows, while that of financial capital takes the largest share. This imbalance is not accidental and explains why the economy can show growth while many employees suffer to make ends meet. The disconnection between productivity and wages. A good example of this phenomenon is we see in the data of the Economic Policy Institute Updated to January 2026, between the fourth quarter of 1979 and the third quarter of 2025, productivity in the US increased by 90.2%, while hourly wage compensation only increased by 33.0% during this period. This means that the financial productivity has grown 2.7 times more than salaries, generating a gap that benefits companies, senior executives and shareholders, but not the employees of those same companies. He historical of the Federal Reserve Bank of St Louis leaves another illustrative example of this phenomenon. Since the late 1970s, the relationship between wages and GDP in the United States has been progressively sinking, except when serious global crises have occurred: in the 2000s with the dotcom crisis, and in 2020 with the COVID-19 pandemic. That is to say, salaries have been losing weight in the wealth of countries for decades. History of the relationship of salaries with respect to GDP in the US The historical minimum of the salary weight. The share of income from work has gone from representing approximately two-thirds of global GDP in the early 1980s to 52.4% of global GDP today, the rate lowest in the historical series according to the International Labor Organization. According to this organization, if employees received the same proportion of salaries to GDP as in 2004, global salaries would increase by an additional 2.4 trillion. This imbalance is mainly due to the fact that the economy rewards more capital returns than the human effort of work (salaries), with companies focused on obtaining quick returns for shareholders instead of raising payrolls. Increase in productivity and wages The impact of AI on salaries. In recent years, the development of artificial intelligence is beginning to increase this gap by automating tasks. at entry points. Research from the University of Navarra determined that the arrival of ChatGPT (and other LLM models) drove down wages of companies most exposed to AI by up to 4.5% on average, compared to companies less exposed to automation. ​The salary impact was greater among junior workers, that they lost 6.3% in starting salaries and a 4% drop in job offers, while senior workers lost an average of 5.9% in their salary level. Causes behind the turn towards capital. From PIMCO they explain that companies use intangible capital such as software and data (AI, in short), to scale profits without using more labor in the process. That decoupling of the hand work would be reducing the bargaining power of employees, while AI encourages companies to contain payroll expenses to maximize dividends. Since the 1990s, factors such as globalization, loss of bargaining power of unions, and concentration of capital in large firms have eroded the labor portion of income. Tiffany Wilding, an economist at PIMCO, said: “Starting with computers and software, and now adding automation and artificial intelligence, technological tools are easily replacing mid-level and increasingly skilled labor.” In Xataka | We believed that AI was going to retire an entire generation of workers early. The opposite is happening Image | Unsplash (Marcus Locke)

China has given the green light to buy NVIDIA chips. The problem for your companies is that you will closely monitor each operation

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NVIDIA has hundreds of thousands of H200 chips trapped in limbo. It is one of the company’s most powerful chips and the standard of the companies that are training AI. It is preferred for train the modelsand also the weapon with which The United States sought to leave China out of the game. After movements by the two countries, The US finally approved (25% commission through) that NVIDIA could sell the H200 to Chinese companies. China has taken some time, but finally it seems that it will accept the offer reluctantly and with an ace up its sleeve: DeepSeek. The mess. The H200 issue is a soap opera. In the context of the trade and technology warthe United States played one of the best cards they had: preventing one of their most powerful products from reaching Chinese hands. They also hindered European companies like ASML from selling their most advanced machinery for making semiconductors to companies like Huawei or SMIC. China responded, of course. He attacked with rare earth -that control almost exclusively– and has been showing little by little that they can not only create advanced semiconductors on your own (and pushing old technology to the limit), but they are alive and well in the battle for artificial intelligence. Furthermore, they have developed a robotics industry and other aerospace practically out of nowhere, making a vacuum to Western chips, and that has caught the United States on the wrong foot. China makes a move. Seeing that China was advancing and the US was not getting a cent, they moved tab: They opened the door for NVIDIA to sell its H200s to certain Chinese customers. For each sale, the US took 25%, but it seems that it was something that the Chinese Big-Tech wanted to take on because they need, at least currently, that NVIDIA technology. And the GPU company itself increased production expecting two million orders above normal. The problem is that everything moved very quickly. without China, really, having said anything. Because here it is not just a question of whether the United States lets it sell, but whether China wants its companies to buy. In a tense calm that left requests halted and thousands of H200 in limbo, China has finally made a move. According to Reuters, and as we told a few days agothere are companies that will be able to place orders for the H200. There is a “but”. It is not carte blanche for anyone to place an order. According to WSJ, Chinese authorities have indicated that each purchase must be for a use considered “necessary.” That includes advanced research or development in AI. Because two factors come into play here: On the one hand, it seems that there are Chinese companies that are pressuring the Government to let them access the technology. NVIDIA was allowed to sell the H20 to Chinese customers, but if these customers can now buy the H200 – six times more capable – they want to take advantage of it. But China does not want everyone to throw themselves into the arms of NVIDIA because, precisely, they have been building their own semiconductor industry for five years with SMIC and Huawei in the lead. China’s goal is to stop depending on the US, and if everyone starts buying US chips like crazy, they will not advance on the technological roadmap that the country marked a long time ago. That is to say, it seems that Chinese regulators are going to evaluate which companies can or cannot buy the H200 depending on the use they want to give it. It has been reported that, for example, ByteDance, Alibaba and Tencent will be able to import 400,000 H200 chips. But there is a twist to all this. deepseek. China’s quintessential artificial intelligence model is one that has turned both NVIDIA and the United States upside down. The question was how it was possible that, without access to the latest technology, DeepSeek could optimize its AI so much. On the one hand, ingenuity to circumvent the CUDA standard. On the other hand, there are those who are clear that DeepSeek has been trained with NVIDIA cards… smuggled. Accusations of smuggling are nothing new in this commercial and technological war, but precisely, and according to Reutersthe company that joins NVIDIA’s massive H200 order along with ByteDance, Alibaba and Tencent is… DeepSeek. Officially, and without restrictions, they will be able to access the H200. “We have given China the argument to launch its own industry and, at the same time, we are giving them access to ours again” – Samuel Bresnick Whiplash. I really liked this concept that Wired uses to define American policy in this regard. They are the ones who started the conflict and their position has been pivoting about tariffsbut with more or less lax measures depending on the moment. It seems clear that, now, they are at a point where they have had to think “if China is going to somehow reach the technology, at least we sell it and earn something along the way.” Samuel Bresnick is a researcher at the Georgetown Center for Security and Technology and comments in Wired that the worst thing you can do is “come and go,” noting that “we have given China the argument to launch its own industry and, at the same time, we once again give them access to ours.” Get your batteries. And meanwhile, there’s Jensen Huang. The CEO of NVIDIA has taken a mass bath in recent days in both China and Taiwan, where he has met with some of the companies that move the semiconductor sector. NVIDIA sat at the same table, TSMCFoxconn or Asus, and Huang came out, half joking, half seriouswith one request: you need wafers and RAM. Regarding the purchase of the H200, China is walking on eggshells, and it makes perfect sense. It is at a point where it does not want to be left behind, and to do so it needs its … Read more

The panic of technology companies about running out of chips has broken the RAM market. Manufacturers have said enough

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The RAM market is completely broken. In November of last year we talked about a 300% increasewas the result of the perfect storm caused by AI and data centers. Faced with brutal shortages, large companies are trying to get hold of as much memory as possible, which further destabilizes the market. Now manufacturers are taking matters into their own hands. No hoarders, thank you. In an extensive report published by Nikkei Asiatalk about the big three DRAM manufacturers (Samsung, Micron and SK Hynix) implementing stricter rules for their customers in order to prevent them from hoarding memory. The measures are aimed at ensuring that demand is real, that is, that the chips are not going to end up collecting dust in a warehouse “just in case.” Manufacturers are asking for details about who the chips are for, the quantities and what they will be used for. OpenAI’s dirty deal. We go back to October 1, 2025. OpenAI signed an agreement with Samsung and SK Hynix to a potential demand for 900,000 DRAM wafers per month. The figure is equivalent to 40% of all world production, absurd, but what is striking is the “potential.” As they point out multiple users on Xare securing a critical product for data centers that have not yet been built, with money they do not have. Some analysts called this agreement “The dirty DRAM deal”whose hidden objective seemed to point to a rather dirty move: to create a moat by preventing its competitors from accessing critical technology. Open orders. The AI ​​race is not going to stop because chips rise in price and big technology companies have done what they had to do: everything possible to get chips. At the end of last year, Reuters He said that some companies such as Google, Amazon, Microsoft and Meta had even approached Micron with open orders, that is, they were willing to accept all the memory they could supply, without a price cap. A full-fledged preventive hoarding. Compulsive shopping. AI companies are not the only ones that have tried to secure their chips, PC manufacturers such as Asus, MSI, Dell or HP also began to buy RAM compulsively at the end of 2025 for accumulate inventory before what was coming. Manufacturers are aware of overorders and that is why they are now demanding data on the end customer. The winners. While everyone is fighting to get their chips, Samsung is getting rich. It is not only that has tripled its profitsFurthermore, it is the technological more has appreciated in 2025ahead of Alphabet and TSMC. For its part, SK Hynix has doubled its profitsmainly due to the boom in demand for high-bandwidth memory (HBM), of which it is a key supplier. In Xataka | There is a lack of RAM memories and Micron is going to spend 1.8 billion dollars to produce more. but not for you Image | Unsplashedited

Fewer and fewer teachers want to go on trips with their students. So in Galicia they are entrusting it to companies

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For students it is usually the best moment of the course, but if we talk about teachers, excursions are something else: a extra burden of responsibility and headaches. So much responsibility and so many headaches in fact that there are teachers who directly renounce participating in them. At the end of the day, a trip to the Prado, a few days visiting Barcelona or even a week in Rome is experienced differently if you are a kid willing to burn the night away than a teacher with the mission of taking care of twenty teenagers. For some faculty, this panorama is so demotivating that are turning to companies specialized. The objective: ‘outsource’ school trips. One trip, two ways to live it. Each student is a world. There are those in science and literature, extroverted and shy, responsible and brainless… but what the vast majority agree on is what is the best moment of the course: the excursions. Especially those that culminate ESO or high school, getaways of several days that involve spending nights away from home, leaving your region (maybe even the country) and savoring a dose of freedom that you normally don’t have in your daily life. It sounds exciting… unless you are not the student, but the teacher. Not given away. A few years ago Laura Gómez (Lauri Math Teacher), teacher and tiktoker, published a video which accumulates almost 145,000 likes and 2,000 comments in which he told what it is like to go on a school trip when you have to do it from the other side, that of the teachers who for a few days act as tutors-night watchmen. And its message is curious to say the least: these getaways are usually free for teachers, but even so, despite the opportunity to spend a few days of tourism in another country, many flee from that responsibility as from fire. “We’re going on a free trip” You know what? There are no teachers who want to go on study trips. In fact, many trips have had to be canceled because there were no teachers who wanted to go with them and, of course, if there are no teachers there is no trip,” the teacher reveals. The next question is obvious: Why? Why are there teachers who prefer to continue with the classroom routine rather than spend a few days in Paris, Tenerife, London, Rome… with a group of students? “You sleep between little and none.” The answer Laura’s story is quite simple: where kids see days and days of fun, freedom and more or less supervised revelry, teachers often see something else: “It’s a tremendous responsibility to go abroad with a group of teenagers, each with their father and mother. They get sick, anything happens to them… You sleep little to nothing and on top of that you have to be running around all day from one place to another.” The influencer She is not the only one who has spoken publicly about the issue. In 2024 I did it too through the pages of The Voice of Galicia José Ramón Alonso de la Torre, retired teacher from Vilagarcía de Arousa. In an article on the subject, he explained that it is one thing to accompany students on one-day cultural trips and quite another to go with them on trips of several days, often hundreds of kilometers from their homes. “The teachers back down, as has happened in some Arousa high schools, because they know they are at risk,” recognize. @laurimathteacher Would you go on a study trip?👩🏼‍🏫✌🏼🥵 ♬ original sound – ➗LauriMathTeacher➗ “What are they going to do?” “In the press there are often news stories about teachers legally accused of abandonment and abandonment because a student, while going down a slide into a pool, twisted his arm. Or because another was mugged on Paseo de Palma and had his phone stolen. And what are the poor teachers going to do, prohibit them from bathing, accompany each walker?” he was wondering Alonzo. “No, it is not easy to go on an excursion in front of 50 boys and girls ready to take on the world, especially the world at night.” Alcohol, scares, unforeseen events, nights guarding nightclubs and hotel hallways, run-ins with students from other schools… Seen that way, who would want to shoulder that enormous burden of extra responsibility? Outsourcing trips. So far nothing surprising. What is curious is what I revealed yesterday Vigo Lighthouse in a chronicle that explains how some teachers in the region are refusing to go on trips with their students. Given this scenario and to prevent kids from being left without the experience, there are centers in which the function is being outsourced directly. What does that mean? That trips are celebrated, but with teachers, but with other professionals. “Two years ago we had to call a company to travel with the children because no teacher wanted to go. This year we preferred to keep only the 4th year ESO excursions. In third year we would have to count on the company and we decided to stop doing it,” comment to Lighthouse Malores Villanueva, director of an institute in Vigo. Yours is not the only center that has covered the lack of volunteer teachers by resorting to a specialized company. “Pretty strict rules”. One of these businesses, Divertos, assures that it is not an exceptional practice, especially since the pandemic. “There are years when the same center calls us for several outings and other courses for nothing; and they call us again years later. There are promotions that are more complex than others,” comment to Lighthouse its manager, Marivíc García. The service provided not only relieves teachers of responsibility. It also marks the focus of travel. “We have quite strict rules and although at first they protest, they later get along well. They know that if they don’t comply the consequence is losing the trip,” explains Garcia before citing some guidelines they give to young people, such as not … Read more

Quietly, Big Tech are ceasing to be exclusively technological companies to be something else: energy

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Big technology companies not only compete for AI engineers. Now they also do it by energy profiles. And it is no wonder, because without the electricity that powers mammoth data centers necessary for AI tools to remain operational, the AI ​​race slows down. A bottleneck. AI has become the strategic axis of Big Tech, but its biggest bottleneck is no longer the talent around its systems, but access to energy. Data centers training and running larger and larger models consume massive amounts of electricityand guaranteeing that supply has become a business priority. According to account According to CNBC, with data collected by Workforce.ai, the hiring of energy-related profiles grew by 34% year-on-year in 2024. Numbers. As the media reports, a similar jump also occurred last year, with a level of energy profile hiring 30% above that of 2022, just before the explosion of generative AI after the launch of ChatGPT. The main reason is structural, since data centers represented approximately 1.5% of global electricity consumption in 2024, after growing 12% in five years, according to data of the International Energy Agency. Everything indicates that this demand will continue to increase as new AI infrastructure is deployed. What profiles are you looking for?n the Big Tech. According to stands out the middle, Technology companies are looking for much more operational positions: experts in energy purchasing, electricity markets, grid connection and energy strategy. CNBC reports that these positions are directly linked to ensuring real supply, not only to improving the environmental image of companies. Furthermore, not everything is about guaranteeing supply at any cost, but also about ensuring that electricity can be obtained in the most efficient way possible. Who is winning the talent war. Amazon and Microsoft lead in volume of energy signings from 2022, according to point the middle. Amazon has more than 600 additions (including AWS), while Microsoft has more than 570. In the case of the latter, in 2024 signed Carolina Dybeck Happe, former chief financial officer of General Electric, as chief operating officer, a gesture that many interpret as a strategic commitment to integrate energy and management on a large scale. Google, for its part, has accelerated in recent months with more than 300 hires, incorporating profiles from both large energy companies and the academic world. Between the lines. The strategy is not limited to hiring people. Big tech is also buying other companies. Alphabet, Google’s parent company, agreed the acquisition of data center company Intersect for about 4.75 billion dollars. At the same time, they outsource key phases such as the construction of infrastructure, relying on temporary contracts to manage projects, land and works. The clash with the traditional energy sector. The medium too points outthrough data provided by specialized consulting firms, that more and more senior energy infrastructure professionals are considering making the leap into technology, attracted by higher salaries and projects linked to data centers. The problem is that the most in-demand profiles, such as energy strategy or grid connection, were already scarce in the traditional and renewable energy sector. This has led to a tighter and more competitive talent market. Not everything is direct absorption. Some analysts also see opportunities for electricity companies. Travis Miller, energy and utilities analyst at Morningstar, explains to CNBC that the magnitude of the demand makes it unfeasible for Big Tech to do everything on their own. In many cases, they will rely on traditional public service groups to develop infrastructure and operate networks, which can translate into new revenue and employment in the sector. And now what. The border between technology and energy is being diluted in a very interesting way. Meta, Amazon, Google or Microsoft already sign long-term power purchase agreements, even with nuclear projectsand some have requested permits to trade electricity and sell surpluses to the grid. “There are technology companies that are becoming energy companies,” account Daniel Smart, CEO of The Green Recruitment Company, in the middle. Of course, for now, only to feed its own AI. Cover image | Microsoft In Xataka | AI is creating a new paradigm of success: products that everyone uses but have to close due to lack of income

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