engineers

If Spain wants to imitate China and be a “country of engineers”, this map reveals the extent to which it has a problem

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An essential requirement for an energy and digital transition to occur in Spain is that there are enough engineers to cover demand. While it is true that there are more and more degrees that have the last name of engineering, the reality is that there are fewer and fewer professionals with the legal capacity to execute the transformation of the state, such as collects the Third Report from the Institute of Graduates in Engineering and Technical Engineers of Spain. In addition, the offer is being concentrated in specific communities. And that is a problem. Why is it important. Enabling engineering is that which grants legal powers for infrastructure and safety, for example what is behind ensuring that a bridge does not fall. With classic branches such as Civil, Mining or Naval Engineering decimated, Spain would lose autonomy and competitiveness by having to resort to imports to sign its essential projects. Jose Antonio Galdón, president of INGITE, deepen on the consequences of this fact: “On the students, who access Degrees with an Engineering denomination without a clear professional exit, and on society, which needs engineers with powers and responsibility to guarantee the safety, quality and sustainability of infrastructures and services.” On the other hand, the lack of complete supply in certain communities forces talent to emigrate, emptying technical capacity to regions that need engineering professionals to develop and establish their industry. Engineers are going to be needed. Two decades ago, those studying engineering represented 24% of the total number of university students and today that weight has fallen to 17%. as detailed by the COIGT. The engineering They are the ones that have lost the most students and also this one concentrates around computer engineering and emerging technological branches. Although the global female quota in engineering is 23%, it is precisely in these branches where it is most concentrated. On the other hand, Engineering such as Mining and Energy, Topography, Civil or Naval continue to decline and in some Autonomous Communities they already have less than 10 graduates. Although there are thousands of graduates each year, it is estimated that in Spain will have a deficit of 200,000 engineers in the next decade to meet demand. More engineering but less enabling. The IGNITE report confirms a phenomenon that has been registering for a long time in previous analyzes: Non-qualifying degrees, that is, those that do not allow the exercise of the regulated profession, have increased massively and now reach 53% of the total. On the other side of the scale, those enabling them are stagnating and even decreasing in some autonomous communities. The decline has been especially serious in places such as Asturias (-28.56%), Castilla y León (-28.79%) or Extremadura (-34.02%). The report makes a special mention: La Rioja. The small upstate community takes the cake with explosive 190% growth in engineering. But in small print: the fault lies with the non-qualifying degrees, which have grown by 431%, going from 433 to 2,289 enrolled. At the opposite extreme is Extremadura, which has the greatest drop in students, with 20.25% less. Engineering students from CCAA in Spain. INGITE Spain at two speeds. According to the reportthe Autonomous Communities that concentrate the largest number of engineering students and graduates are in Andalusia, Catalonia, the Valencian Community and the Community of Madrid. In addition to obviously because its population is larger, also because only Andalusia, Madrid and Catalonia have all the branches of engineering, revealing a territorial inequality in access to studies. The gap between public and private. The phenomenon of non-qualifying degrees is especially important in private universities, a type of center that grows out of control in the statealthough unevenly. Thus, while in the Balearic Islands, Castilla-La Mancha and Extremadura there is no this type of center and Galicia opened the first in 2022-2023, in Madrid there are 13 according to data from the Community itself. Since the 2015 – 2016 academic year, the autonomous communities where the number of degrees in private entities has grown the most has been Andalusia (from two to nine), Aragón (from three to nine) and La Rioja (from two to seven). In Xataka | If the question is which countries have the most workers with higher education, the answer is not Spain In Xataka | The university degree with the most job opportunities in 2025 looks into a great abyss: that of a future conditioned by AI Cover | INGITE

On the surface, the AI ​​talent war is about engineers and developers. It’s actually about plumbers and electricians.

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In recent months we have seen how some of the big big tech companies are opening their portfolio to hire the best AI talents: among the most voracious is goalbut the arrival of Jony Ive to OpenAI It was a flash signing. They may not have the resume of the former design director or make as many headlines, but the AI ​​talent war is also being played in another league: that of blue-collar technicians, such as the CEO of NVIDIA already predicted months ago and more recently, at the World Economic Forum from Davos. (Another) bottleneck for AI. Because for ChatGPT to have a new model or Nano Banana to level up, data centers are needed. And at the same time, huge quantities of electricity supplied by energy plants. We have already seen that data centers are proliferating like mushrooms (or at least, their planning, materializing them is another more arduous and slow story which leads some companies to consider ride them in space). So there are big tech that are being becoming energetic. But to assemble and maintain everything, you need electricians, plumbers or air conditioning technicians. And there are precisely not a few: the union that represents electricians in the United States and Canada mentions in a blog post of specific data center projects that can quadruple the current number of its members. Blue collar technicians wanted. The problem is that they are scarce: according to the United States Bureau of Labor Statisticsbetween now and 2034 there will be an average shortage of 81,000 electricians per year. Furthermore, demand in the next decade will increase by 9%, well above average. According to this McKinsey studyBy 2030, the United States will require 130,000 more electricians and 240,000 construction workers. The absence of professionals such as bricklayers, welders or plumbers also occurs in Europe, as collect the latest report of the European Employment Service. In Spain at the moment takes its toll on housing construction. There is no one to inherit the workshop anymore. Wired picks statements by the economist responsible for the American Builders Association, Anirban Basu, who tells how in the past workers passed on their skills to their offspring, but now they are encouraged to pursue university studies. The problem is that baby boomers are retiring, leaving a void that no one is filling. Dan Quinonez, its counterpart in the plumbing sector, comes to say the same: They are doing everything possible, but it is a structural problem that has no immediate solution. Data centers are not places for newbies. On the other hand, data centers are not just any job and it is not only because of the technical requirements, but because the deadlines are tight, leaving little room for delays or errors. This is crucial as it is normal for apprentices to be trained on the job. Incorporating workers quickly and safely is a challenge, as David Long tells of the National Association of Electrical Contractors. What Big Tech are doing. This reality does not go unnoticed by big technology companies and Google has already gone ahead: last spring advertisement that would make a financial injection to the Electrical Training Alliance, an organization that trains electricians with the goal of improving the skills of 100,000 active electricians and training 30,000 before 2030. The point is that AI also competes with other sectors: housing, hospitals, industries… the competition is fierce. But the companies behind it have an ace up their sleeve: those demands and tight deadlines usually translate into higher salaries and more overtime. As Charles White tells of the Association of Plumbing Contractors, this causes union workers to change companies in search of better conditions. Without going any further, Jensen Huang prediction offers with six-figure salaries. How long will the boom last? The installation of a data center is a finite project in time that, once completed, is limited to maintaining a small permanent maintenance team. Likewise, and although we are in a phase of AI expansion with enormous potential, sooner or later it will lose steam. At that time, we will see what will happen: of course, taking into account the needs in other sectors and the hole that the retiring generations are leaving, it seems that it will not cost them much to find another job. In Xataka | Spain is becoming a true Mecca for data centers. Uruguay has some lessons in this regard In Xataka | 30,000 jobs and many doubts. What we know (and what we don’t) about the Valencian “data valley” Cover | Sammyayot254, Jimmy Nilsson Masth and Xpda chaddavis.photography

China already has an army of 5.8 million engineers. His new plan involves accelerating doctorates

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China has a plan to win the technology race, one that began more than 40 years ago when decided to invest in training millions of engineers. We have seen it in the signings of the Meta superintelligence teamwhere the vast majority are Chinese. Chinese universities have a new plan to further accelerate the attainment of doctorates, one that puts aside theory to focus on practice. What is happening. They tell it in South China Morning Post. China is implementing a new policy that affects STEM students pursuing doctorates. The title PhD or ‘Doctor of Philosophy’ is the highest academic rank that can be obtained and until now required the development of a thesis. With this change, led by Harbin University of Technology, engineers can earn the PhD degree with the development of real products and systems. First case. The first student to achieve the PhD based on practical results was Wei Lianfeng last September. He graduated in 2008 and joined the China Nuclear Institute, where he worked for more than a decade until he decided to return to university to pursue his PhD, which he earned for his results in developing a vacuum laser welding system. To evaluate their work, the court that attended the oral defense included industry experts. Why is it important. The training of technical talent has been a priority for China for decades and more recently they have redoubled their efforts. In 2022, the government launched a program to promote STEM education especially in strategic areas such as semiconductors and quantum computing. Among the key points of the plan was close cooperation between companies and universities for joint training. This measure is the culmination of this strategy and the recognition that theoretical knowledge is not enough to compete in the technological race, especially with US blockades of key technologies. This allows China to solve the bottleneck in graduating higher-ranking engineers; It is not only about training more engineers, but about training them as soon as possible and with solutions that can be applied to the real world, instead of theses that are hundreds of pages long. STEM Power. The push to train engineers and scientists is part of a long-term government plan that began in the post-Mao era. And the plan is going from strength to strength. If we focus only on doctorates, according to data from 2023, China awarded 51,000 doctorates (PhD) in STEM careers, while the US was at 34,000. The projection at that time was that by 2025 the figure would rise to 77,000. In terms of total figures, In 2020, China was already the country that produced the most STEM graduates throughout the world with an abysmal difference: 3.57 million compared to the 2.55 million that India produced or the 822,000 in the United States. At the moment China already has 5.8 million graduates and it is estimated that more than 40% of all graduates choose a STEM career. Image | Joshua Hoehne in Unsplash In Xataka | Silicon Valley has a problem: its engineers are beginning to look to the other side of the Pacific. Specifically towards China

Silicon Valley doesn’t know what to do with so many unemployed engineers. Spain does not know where to get what it needs

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The global technology sector has been facing a kind of roller coaster very conditioned by AIin which while in some corners of the planet there is a commitment to destroying employment in this sector, in other countries it is created at a frenetic pace and even a scenario of staff shortage skilled. Since mid-2022, Silicon Valley has not stopped destroy technological jobs. On the other hand, in Spain the trend is just the opposite, and this sector has not stopped growing at a notable rate, being the exception among advanced economies. Global downward trends. A recent analysis by economist Brendon Bernard for the employment platform Indeed in Canada confirms that job offers in technology have slowed down in countries like the US and Canada. This change occurs after a crisis caused mainly by the pandemic and the collapse of the metaverse, which caused rounds of massive layoffs in large technology companies and drastic cuts between 2022 and mid-2023. The appearance of ChatGPT and the AI ​​fever managed to stop the downward trend in the sector’s offers, but the initial boost that AI seemed to give has stalled and technological employment in the world has not recovered its 2022 levels. Spain follows its own path. As and how they stand out in The Economistamong all this downward trend in technological employment in advanced economies, one stands out that marks a totally opposite path: Spain. Bernard’s study highlights that, while large advanced economies such as the United States (-34%), the United Kingdom (-41%), France (-38%) and Germany (-29%) reduce the number of technological job offers compared to their pre-pandemic levels, countries such as Singapore, Spain and Australia draw a graph in the opposite direction, creating new job offers at a double-digit rate. Technological employment in Spain. In Spain, technological employment is growing rapidly. According to data According to the Cotec Foundation for Innovation, 494,000 new positions have been created in technological activities since 2013, of which approximately half (about 240,000) have been generated after 2020. The weight of technological employment over total employment is especially high in communities such as Madrid (10.5%), Navarra (10%) and Catalonia (9%). On the other hand, regions such as the Balearic Islands (2.7%) or the Canary Islands (2.2%) have a lower concentration of technological job offers. Lots of supply, but much more demand. In fact, the rebound in the Spanish technology sector faces a serious challenge: staff shortages. According to the report HR Trends 2024‘ prepared by Randstad, more than 30% of companies reported difficulties in finding qualified talent in digital areas, which causes certain positions to take months to fill. This generates tensions in the technological labor market and increases competition by the professionals available. The Cotec Foundation report indicates that the growth in technological employment is based largely on programming, consulting and computing, which account for nearly 80% of the employment generated since 2020. To give a concrete example, Randstad data indicates that, during the third quarter of 2024, employment among programmers in Spain registered an increase of 16.4%. Demand reaches universities. According to the report’The Future of Talent in Artificial Intelligence and Data in Spain‘ prepared by INDESIA, in 2023 5,000 job offers in AI and data science were left unfilled per lack of trained candidates. The education system can only train about 6,000 new professionals annually in these areas, while demand is increasing. Núria Ávalos, general director of INDESIA, explained to The Country that “many grades are now emerging, but until these people are in a position to take on positions such as a data architect there are a few years left”, which exacerbates the gap between supply and demand. In response, companies and universities are exploring joint training models, where companies themselves become training centers to urgently cover this need for qualified talent. What AI gives you, AI takes away. Despite the good figures for technological employment in Spain, it is inevitable to observe the United States labor market as a canary in the mine that reveals where the trends in the futureand has already begun to give the first signs. While it is true that the arrival of AI stopped the decline in employment, as AI gains skills in programming and basic tasks, it is also promoting job automationwhich reduces the number of necessary technological employees, especially among those who just begin their working career. We are seeing a clear example in the latest layoffs from large technology companies, where not only are “accessory” positions for an approach whose objective is the development of AI, but engineers who until now are being fired they were developing that AI. In Xataka | Big Tech doesn’t stop firing its engineers. At the same time, they have stepped on the accelerator in hiring Image | Unsplash (Fatemeh Rezvani)

AI was supposed to free us from work. At the moment the engineers who develop it work 100 hours a week

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He impact of AI on work It fills many pages. On the one hand, it is presented as a threat to many jobs. On the other hand, a much more positive vision in which AI frees us from the burden of work so we can enjoy life. For now, what we do know for sure has been true is that the engineers who work in AI companies are working endless hours. what’s happening. We already talked about what Silicon Valley was embracing the 996th journey that China had already left behind. We are talking about twelve-hour days, six days a week, that is, 72 hours a week. Several AI engineers have in the WSJ that the days reach even 80 and even 100 hours per week, even comparing the situation with war. We are talking about large companies like OpenAI, Meta, Microsoft, Anthropic or Google, all competing to be the best in the frenetic AI race. May the rhythm not stop. The innovation cycle is crazy; Almost every week new models and new tools are announced that are not made alone. In the main AI laboratories there is no rest. Josh Batson, an engineer at Anthropic, defines it in a very graphic way: “we are basically trying to compress 20 years of scientific progress into two years.” In the small startups in the valley, things don’t change much and it is becoming more and more common that people are required to work 996 in the job interviews themselves. “We do not offer conciliation,” said the CEO of one of them. The urgency of the AGI. Furthermore, there is artificial general intelligence or AGI, that superintelligence that gurus like Altman either Musk They don’t stop mentioning. Especially in the case of OpenAI, getting the AGI is already a matter of survival. It would be a perfect argument to justify the parade of stratospheric investments of the last few weeks that have fueled bubble fears. Millionaire salaries. Over the summer, Mark Zuckerberg set out on a mission: take all the AI ​​galactics to Meta. He has managed to form a team, but also that millionaire salaries raise the bar even further in the sector. Engineers are the most precious resource and must be used accordingly. The irony of the situation is that many of these engineers who are now multimillionaires practically live in the office. Waking up from sleep. Gone are the days when working at a big technology company meant having all kinds of comforts. Google, for example, was a paradise with gyms, cafes, shops… even masseuses when you needed them. The return to the offices after the pandemic was anything but paradisiacal and many of those privileges disappeared. Until when? It’s a question we ask ourselves a lot when we talk about the AI ​​career. How long will the flow of investment continue despite the fact that AI is not making money (or not enough)? And now too, until when will there be engineers willing to dedicate all their time to AI? There have been other frenetic moments in Silicon Valley, such as the app boom after the launch of the first iPhone. The difference is that this is happening in much less time. Image | Pexels In Xataka | The co-founder of OpenAI is not afraid of superintelligence: he fears that we are building “digital ghosts”

Big Tech do not stop saying goodbye to their engineers. In parallel, they have stepped on the accelerator in the hiring

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The labor market for software engineers in 2025 is going through A disconcerting phase. While many companies are running Great rounds of layoffs And vacancies take longer to cover themselves, the great technological have stepped on the accelerator in their hiring registering a moderate increase in recent months. With the aim of understanding this phenomenon, Gergely Oroszengineer, analyst and author of ‘The Software Engineer’s Guidebook’ has crossed data from different technological employment platforms to offer a detailed analysis of the labor market in 2025. The result shows a panorama in transformation, in which traditional rules seem to have changed and Big Tech movements point to a future very marked by AI. Boom in layoffs, but also in hiring. Just check quickly The newspaper library recent to discover that technology companies are executing Dismissal rounds In his templates. According to dataFrom the Trueup platform, in what we have been counted about 141,000 dismissals Among the great technology. The estimates are that 2025 closure with 210,000 layoffs that, despite being many, are below the 430,000 layoffs that were recorded in 2023 or 239,000 of 2024. Dismissal figures in the technology sector However, those same companies are the ones that are most hiring in recent months, registering a Mild up rising trend in the total of new offers in the labor market. The reason: these layoffs are not due to economic difficulties, but because companies have changed their business goals and are reorieting their templates. Companies such as Apple (2,177 vacancies), IBM (1,924 vacancies), Amazon (1,794 vacancies) and Oracle (1,394 vacancies) are the ones that have registered the most vacancies, according to the data revealed by Orosz. Zuckerberg has taken the wallet. In case the latest movements of Millionaire signings in AI They leave a doubt, goal is the company that is hiring the most engineers, with an increase of 19% compared to its 2022 template.Google and Apple show a somewhat more leisurely rhythm in hiring, although they increase their templates with new hiring at a rate of 16% and 13% respectively with respect to 2022. Amazon and Microsoft later began their Pivotage to AIand their figures are maintained below 8%, although the last restructuring movements Of both companies, they point out that, in the face of the last quarter, that percentage will tend up. Who is hired. Big Tech are immersed In a race For immediate profitable Investments in AI. So the profile that is being demanded most is the IA engineer profile that, According to data In Trueup, it has increased by 278.5% since its lowest point in 2023 and currently has 24,957 vacancies open. The hiring data also reveal that the profile most demand IA -oriented specialtiesbut they are the engineers who already have a certain experience (with 27,864 vacancies available) or already with a senior profile (with 22,477 published employment offers). Orosz’s analysis data reveal that the seniors engineers of ia will cover those vacancies, They will leave Big Tech Consolidated such as Google, Meta, Apple or Microsoft, joining projects in the new heavyweights of AI such as OpenAi, Anthropic or XAI, as well as other emerging unicorns. The AI ​​recover the work remote and sacrifices the bosses. According to data published by Orosz, the volume of offers of remote employment has fallenRegarding the previous year. However, the exception of the brand again the engineering of AI, where the urgency to recruit talent causes a relatively high number of vacancies to be maintained with the possibility of remote work. In parallel, the leadership positions in engineering are seen increasingly limited. Amazon has significantly reduced the engineering managers roles. For its part, almost all Big Tech – with the exception of Apple— They have trimmed the creation of positions of director or intermediate positions. This adjustment responds to a reorganization of internal structures, such as the one that has launched Googlethat prioritize smaller and agile equipment. In Xataka | Google Deepmind has made possible the dream of some employees: charging without working Image | Flikr (Village Global). Goal, Wikimedia Commons (EESAN1969), Trueup

Zuckerberg is offering 1,000 million to take the best engineers. The problem is that they are rejecting it

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After being considered The cover of the AIGoal did not live up to expectations with The flame launch 4. So, in the Search for general artificial intelligence (AGI), Mark Zuckerberg He entered “Founder Mode”. Your great goal? Start winning another of the wars that I was losing: The attraction of talent. The ambition behind their Galactic offers believe A new upper class in Silicon Valley. Waiting to see results from his new Superintelligence team, of China majority, Zuck It has encountered a company where for the moment it has not been able to fish despite offers of up to 1,000 million dollars, According to Wired. It’s about Thinking Machines Labthe startup of Look Murati. So powerful gentleman is not a money. It is not yet known exactly what they are in in Thinking Machines Lab, but among its more than 50 employees there is a lot of talent, starting with Murati, one of the chatgpt mothers and head of OpenAi technology until less than a year ago. Goal has made offers to more than ten startup employees. And what offers. The Zuckerberg company has offered payments of between 50 and 100 million euros in the first year, with amounts ranging from 200 to 500 million dollars in four years, according to Wired. With an exception: an offer of 1,000 million in several years. And neither has a goal to attract talent: for now, employees are not accepting offers. The reason. Sam Altman came to affirm that Meta failed to take away talent because Openai employees believed that his company would be the best positioned for “Develop superintelligence“And” the company that is worth more. “According to Wired sources, which has led to Thinking Machines Lab to retain talent has to do with the leadership style of Alexandr Wangco -founder of Scale aiand that Zuckerberg has put in charge of the galactic team superintelligence labs. Despite their history, they mention their lack of experience (28 years) as one of the causes not to want to work under their command. That has not prevented the round of signings centered on OpenAi and Deepmind to be successful, despite having engineers from the same profile of the Murati team. Mark Chen, Cro, from Openai, told the respect that they felt that “Someone has sneaked into our house and stole something“. According to him Wall Street JournalChen would have been another of the AI geniuses to which Zuckerberg would have offered an offer on 1,000 million. Important, “for the moment”. In a market that does not stop moving, the deadlines are crucial and very changing decisions. Sam Altman He presumed That goal was not able to take any of its best employees despite offers of 100 million a year. However, a few days later, It was confirmed that with his irrigation of finishing money he had attracted: Bi Suchao (ex-openai. China): He was co-creator of the GPT-4o and O4-mini voice mode. Chang Huiwen (Ex-Openai. China): Co-Creator of the GPT-4O image generator. Before he worked in Google, where he created Maskit and Muse. Lin Ji (Ex-Openai. China): He worked on the creation of several language models, from GPT-4O to GPT-4.5. He also dealt with the reasoning of Operator. Ren Hongyu (ex-openai. China): He helped create several models and led the post-training team. Zhao Shengjia (Ex-Openai. China): He directed the synthetic data program and was key in the creation of Chatgpt. Yu Jiahui (ex-openai. China) led the perception team. Trapit Bansal (Ex-Openai. India): co-creator of several language models and pioneer of the combination between reinforced learning and ‘chain of thought’. It seems that Zuck Yes managed to leave several of the best, with a Chinese majority. You have to wait to see if the finishing CEO does not cause any ravage in Thinking Machines Lab. Ilya Sutskeveranother ancient heavyweight of OpenAi, a goal was not successful, even offering him Buy your startup for 32,000 million dollars. But the Meta team did Add to Daniel Grossyour adventure partner. In Apple they are falling. After fishing in Deepmind and Openai, goal pulled wallet with another Big Tech, Apple. Achievement take to Ruoming Pangfor 200 million dollars distributed in several years, an amount superior even to the one Tim Cook takes In a similar period. After this announcement, key for being Pang responsible for Apple’s models, Cupertino’s company lost two of the employees who worked for him: Mark Lee and Tom Gunter. Yesterday Bloomberg reported fourth big exit: Bowen Zhang. A plan that goes beyond talent. With the Metaverso as long -term betand with him Wall Street supportMark Zuckerberg goes with everything for AI. And everything is not just talent. He is so hurry to lead the AI who has done something unusual: Build a tent databasewaiting for it to be built ‘Hyperion‘, its mastodontic Data Center for the size of Manhattan. Feeding these megaconstructions need energy, a lot of energy. And goal too is launched for hereven betting on nuclear centrals that They were going to close soon. Image | Goal and Xataka In Xataka | The AI industry has become a kind of ‘game of thrones’. And that reveals a worrying truth for your future

Airplanes have been depending on GPS for decades. Some engineers have another idea to replace it: quantum technology

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Airbus and the company derived from Google focused on quantum technology and IA, Sandboxaq, have completed more than 150 flight hours Testing Magnava revolutionary system that uses Quantum sensors to detect the unique magnetic “fingerprints” of each point on the earth. The initial results have been promising, and are a sign that technology could rival the Traditional GPS and even overcome it in precision. Why is it relevant. The GPS has become the Achilles heel of modern aviation. Interference attacks and Spoofing They are dramatically increasing in conflicting areas such as the Middle East, Ukraine and Russia, and this It also affects civil flights. The military use these techniques to confuse missiles and drones, but the consequences extend dangerously to commercial aviation. Hence the importance of looking for a viable alternative to GPS. Magnav. Image: Sandboxaq The secret of its operation. Magnav has more or less the size of a toaster, and has a laser that shoots photons against electrons. When the laser goes out, these electrons release the absorbed photons with a unique energy firm that reflects the intensity of the earth’s magnetic field in that exact location. An artificial intelligence algorithm processes this information and compares it with detailed magnetic maps to determine the position of the plane. Each square meter of the planet has an unrepeatable magnetic firm, created by the iron particles of the earth’s core that magnetize the minerals of the cortex. More precision and more difficult to supplant. Unlike GPS, which depends on vulnerable digital signals from satellites, quantum sensors are completely analog and process data generated entirely on board. Jack Hidary, CEO of Sandboxaq, Explain that this makes them “essentially impossible to interfere or supplant.” During the evidence, Magnav managed to meet the standards of the Federal American Aviation Administration 100% of the time, maintaining precision within 2 nautical miles. Even more impressive, it reached a 550 -meter accuracy in 64% of the occasions. Beyond aircraft. The experts They predict A quantum sensor market valued between 1,000 and 6,000 million dollars by 2040. This technology promises to detect submarines and hidden tunnels in defensive applications, and weak magnetic signs of the heart and brain in medicine, allowing non -invasive diagnoses. Joe Depa, Global Innovation Director of EY, Underline That “we are not talking about something within 20 years, but about something that is here and now.” The next step. Sandboxaq plans to go first to the defense sector before expanding to commercial flights. Although more evidence and certifications are required, Hidary stands out that have overcome “the difficult part: demonstrate that technology works.” According to him, it is the “first novel absolute navigation system that we know in the last 50 years.” Cover image | Ross Parmly In Xataka | The 777x is Boeing’s great bet to return to the top: folding wings, redesign cabin and the largest engine in the world

Chips manufacturers seek talent urgently. In Europe only 100,000 more engineers are needed

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During the next five years the global semiconductor industry will need to incorporate nothing less than One million qualified workers. This prognosis is no elucubration; It comes from SEMIan international organization that watches over the interests of the electronics industries and integrated circuits. According to their forecasts Europe will face a deficit of 100,000 engineers, and Asia will need 200,000 qualified technicians. These a priori figures may seem exaggerated, but they are not at all if we consider that for 2024 the chips industry grew by 19.1% compared to 2023 thanks to the demand for GPUs for artificial intelligence (AI) and consumer electronic products, as well as to the expansion of 5G communications throughout the planet and the development of the car market. In 2024 the global semiconductor industry invoiced 627.6 billion dollars. There are not enough professionals to support the growth of this industry TSMC, The biggest chips manufacturer on the planethe goes hunting again year after year to be able to meet his needs. During 2023 recruited 6,000 engineers For its Taiwan facilities, and presumably this trend also remained for 2024. And between 2025 and 2028 it will start several semiconductor manufacturing plants in the US, Germany, Taiwan and Japan. TSMC is one of the most successful companies in this sector, but with all probability other chips designers and manufacturers will also need to strengthen their templates. The average salary of an engineer without previous experience, backed by a master’s degree and newly arrived at TSMC exceeds $ 65,500 annually In this situation the salaries offered by these companies are very high. The average salary of an engineer without previous experience, endorsed by a master’s degree and newcomer to TSMC exceeds $ 65,500 annually (Approximately 56,000 euros), But this is just the starting point. It is assumed that as their salary acquires experience. The problem facing semiconductor companies, According to semiis that as many people with technical profile are not being formed in universities as they will need in the short and medium term. In addition, many of the most experienced engineers are retiring or will do so before 2030. As a button shows: in the US, a third of employees of integrated circuit companies have 55 years or more. And in Germany a third of the technicians who have developed their work career in the chips industry will retire throughout the next decade. However, there is another challenge that also compromises the future of these companies: the next batch of engineers will have to have advanced skills in AI and Automatic learning. The companies that are dedicated to the semiconductors are aware of the problem that already looms on them, which has caused some to have launched initiatives that initiatives that initiatives that initiatives that They go beyond offering good salaries. Some of these measures are to invest in the progression of their professionals and offer them flexibility to prevent them from leaving; in seeking candidates with non -traditional profiles in which their skills prevail and not their training, or in promoting the incorporation of women into this industry. At the moment Women represent only 17% of technical positions in the semiconductor industry. Image | TSMC More information | SEMI In Xataka | We already know what the chips that will arrive until 2039 will be. The machine that will manufacture them is close

engineers with sports salaries

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Imagine that a company offered you 100 million dollars to go to work with it. 100. Millions. That is precisely What Meta has offered several Openai engineers To sign. It is the demonstration of a unique phenomenon: right now in Silicon Valley, the engineers of AI are almost like sport superstars. The Galactics of Technology. Sam Altman, OpenAi CEO, He counted In the podcast “UNCapped” how target had made those “gigantic offers” of work to several OpenAi engineers in which he offered bonuses of 100 million dollars to sign them. “I am very happy because at least for the moment none of our best engineers have accepted,” he said, which seems to confirm that even that obscene amount of money had managed to convince those OpenAi experts to change the side. Talent War AI. The company led by Mark Zuckerberg seems to be desperate to get talent at all costs. Deedy DasMenlo Park Ventures manager, explained that despite offering annual salaries of two million dollars to their AI engineers, “continue to lose them in favor of OpenAi or Anthropic. The talent war is absolutely ridiculous.” Desperate measures? Alberto Romero, author of the Newsletter The Algorithmic Bridge, He described These offers of an obscenity and analyzed the finish line, which in recent weeks is demonstrating serious problems not losing ground in the field of AI. Call 4 has been A small disasterand Metaai It does not seem to curdle at all even being part of WhatsApp or Instagram. Restructuring and very risky investments. Zuckerberg is so concerned about the bad progress of his AI projects that He has activated his “Founder Mode” To put in charge of that effort. Has restructured the organization of Meta and its divisions dedicated to AI, but above all it has made an exceptional decision: pay 14.3 billion dollars for a 49% participation in the (not well known) Scaleai. Not so much for that participation, in reality, but to sign Alexandr Wang, his CEOwhich will now direct the division of AI and that also, Romero points out, thus becomes “the most expensive spy in history.” Scaleai works labeling AI data for companies such as OpenAi or Anthropic, and the question here is whether the knowledge you have acquired about these companies will end up being helpful or not. In The Information They point What a goal wants to hire Nat Friedman –Exceiver of github“And Daniel Gross -which worked in Apple’s division and co -founded Safe Superintelligence. Beyond money. The obsession of AI companies for winning that particular battle has made the best experts in this field become quoted figures for companies. Noam Brown, one of OpenAi researchers, He explained in Reuters How in 2023 several greats of technology “courted” him. He ate with Sergey Brin, co -founder of Google, played poker with Sam Altman and received the visit in Jet private from an investor. Two other candidates told how Elon Musk personally called them to work in XAI. In the end Brown decided on OpenAi for both the people who worked there and for the work they were doing. “In fact, it was not the best option I had,” he confessed. Millionaire salaries. And the companies that have the talent want to retain it. Openai offered bonuses of two million dollars and additional shares worth $ 20 million or more if they stayed in the company, two sources confessed to Reuters. Apparently some employees showed their intention to go to work for the new Ilya Sutskever company, Safe Superintelligence. The best Openai researchers receive bonus packages of 10 million dollars a year, these sources also highlight Reuters. In Deepmind these packages become 20 million dollars a year. Much demand, very little supply. Fortune estimated that there are about 1,000 true great researchers around the world, and that does not only have some companies to convince them to work for them. As the publication points out, money matters and the project matters, but personal ties also matter. When Murati looks He left Openai To create Your own startuphe took with her 19 employees of the firm, including one of his co -founders, John Schulman. The new sport superstars in Silicon Valley. All technological, large or small companies drive this phenomenon. Apple has managed to sign several Google employees, although some like Ian Goodfellow ended up returning to Deepmind. And those who do not go to a great company, create one. It has happened with Sutskever or Murati, which have already received multimillion -dollar investment rounds. They are the new superstars of the other sport. That of artificial intelligence. Image | Techcrunch | Goal In Xataka | Goal wants to feed its AI without depending on the weather. Your bet: Underground heat without leaks

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