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Threads already boasts 500 million users. The missing figure remains the most important

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Threads was born at the time when competing with X seemed more possible than ever. The old Twitter was going through a period of profound changes under Elon Musk and Meta decided to enter with its own app in a field that X had dominated for years: brief, immediate public conversation supported by text. What was not clear was whether that window could become sustained use, community and real scale. Almost three years after its launch, the company already has an answer to teach the market. The data comes from the Goal itself, which has announced that Threads It has reached 500 million monthly active users in June 2026. The application would have added about 100 million monthly users since August of last year, when it was already around 400 million. It is a huge figure for such a young network and enough to place it in a very different conversation than in its first months. The company led by Mark Zuckerberg has presented the milestone along with several new features, with special emphasis on reinforcing the role of communities within Threads. In its official announcement, Meta maintains that these groups, organized around conversations on topics such as books, basketball, parenting or musichave helped shape the application. That’s why Communities It is now out of beta and adds functions such as a center to find communities, own icons, progress indicators for topics that are close to becoming a community and more recognition for outstanding users. The figures we have and the figures we are missing Part of the explanation is that Threads didn’t have to convince the user to start from a blank page. It’s no secret that upon its initial launch it benefited from a highly optimized growth strategy: the app was able to build on the connections that millions of people already had on Instagram, and some viral Threads posts even appeared on Instagram and Facebook. This advantage helps to understand why its adoption was so rapid, although it does not solve the underlying question: how many of those users have turned Threads into a commonly used app. This pace places Threads in a striking position if we compare it with other large networks, although with an important caution: not all of them were born in the same conditions nor did they communicate their metrics in the same way. TikTok/Douyin reached 500 million monthly active users in July 2018a little less than two years later of the launch of Douyin in China. Instagram reached that barrier in June 2016some five years and eight months after its premiere. Facebook announced 500 million active users in July 2010a little more than six years after its birth, although that communication did not formulate the metric with the same detail as MAU. Threads did it just before turning three years old. There is the missing figure. Meta has given the global number, but has not published the breakdown by country: we do not know what Threads’ main market is, where the growth is concentrated or how many monthly active users it has in Spain. That gap matters because a social network is not only measured by its aggregate size, but by the weight it achieves in each local conversation. And in Spain, without a public figure that allows it to be measured, Threads does not yet seem to occupy a place comparable to that of X, Instagram or TikTok. Some clues help to read this incomplete map, although none replace the official breakdown that we do not have. In its announcement, the company led by Mark Zuckerberg mentions that local communities will start with native language labels in Japan, Korea and Taiwana clue as to where you are putting the focus. Meta claims to be seeing more traction in Asia, especially in South Korea and Japan, where usage time has increased by 80% and 130%, respectively, compared to the previous year. This is useful data, but it is not equivalent to knowing how many monthly active users there are in each country. Images | Goal In Xataka | “Deepfake” calls have become a top-level security problem: Google believes it has the answer

China has just ranked second in intelligent computing capacity. The important figure is not the most striking

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There’s a simple way to hype up artificial intelligence: just talk about models. And there is a more useful way to understand it: look at which countries have the capacity to train them, run them and bring them to millions of users without the system breaking along the way. In that second race, much less showy but much more revealing, China has just presented its numbers. The figure draws attention due to the ranking, yes, but the important thing is what it tells about the foundations of its deployment. The figure. The information comes from Digital China Development Report 2025the document with which the National Data Administration summarizes China’s digital development over the past year. There it is maintained that the country reached 1.59 million PFLOPS in FP16 of intelligent computing capacity and that this volume would place it in second place in the world. There is small print. The aforementioned report places China in second place in the world within a specific category: intelligent computing capacity. That is not the same as saying that the country is second in the entire AI race, where models, chips, talent, investment, adoption, regulation and many other variables come into play. What we are looking at is something more limited: the computing capacity prepared to power large-scale artificial intelligence loads. Unity matters. FP16 stands for 16-bit floating point, a way of representing numbers with less precision than FP32 or FP64. It is widely used in artificial intelligence because it allows you to perform more operations and use less memory, a useful balance when we talk about training or running models. PFLOPS, for their part, serve to express how many floating point operations an infrastructure can perform every second. It’s not just power. The report does not stop at 1.59 million PFLOPS FP16. It adds a very specific physical layer: more than 13.73 million standard racks in operation, 42 large intelligent computing clusters, described in the document as “ten thousand card” clusters, and a national testing and verification platform that already supervises 1,129 facilities. This network, according to the document, allows 110,000 PFLOPS to be coordinated for economic, scientific and government uses. The distance with the US. China is placed second and the reference for first place is the United States. That is the reading that appears in Chinese state sources when they talk about a position “only behind the United States”, and also what external analyzes of high-end AI computing draw. The American advantage is not explained only by having more chips: also by data centers, large technology companies capable of financing enormous-scale infrastructures and a highly developed network. The other half of the data is in the use. According to the report, China had 748 registered generative AI services at the end of 2025, of which 446 had been registered during that year. It also talks about 602 million users of generative AI, with a year-on-year growth of 141.7%. These are official figures and should be treated as such, but they help to understand why computing capacity matters: we are not dealing with an infrastructure designed only for laboratories, but for services that are already deployed on a large scale. Images | Xataka with Nano Banana In Xataka | Unitree is doing with robots what DJI did with drones: becoming inevitable

what SpaceX needs to figure out before thinking about the Moon

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Finally, after several postponements and even a scrub During the countdown, flight 12 of the SpaceX Starship has been able to take place. Elon Musk’s company has considered it a success, taking into account its complexity and everything that could have failed. However, it should be noted that it has been a partial success. The performance of the Starship S39 has been very good, but the Super Heavy B19 rocket has had some incidents. So many that they end up disintegrating upon re-entry into the atmosphere. Logically, this implies that there is a lot of work to do before the next flight. Which went well. The launch occurred successfully at 22:30 UTC (00:30 Spanish peninsular time) on Friday, May 22. It was achieved reach a thrust of 8,240 tons, double that achieved by the SLS rocket that NASA is using in the Artemis program. Even the acceleration was greater than expected. The separation of stages occurred properly and the ship fulfilled what was expected, landing in the Indian Ocean as planned. The release of Starlink mockups traveling as payload on Starship was also properly carried out. What went wrong. One of the biggest innovations of Starship Flight 12 was the introduction of version 3 of its Raptor engines. There were a lot of hopes for them, but some have not worked as well as could be expected. The first failure occurred 1 minute and 42 seconds after takeoff, when one of the outer ring engines of the Super Heavy rocket shut down. This consists of 3 central motors, an outer ring with 19 motors and an intermediate one with 11. The failure in the outer ring was already a relevant incident, but it was not the worst. The separation of the two stages occurred at 2 minutes and 30 seconds and precisely there it was seen how the ship’s 6 engines partially burned the surface of the rocket. At that point, the Super Heavy’s engines began to turn on, but some did not activate. 8 seconds later, one of the engines in the intermediate ring exploded, affecting several of the engines surrounding it. With the entire engine system damaged, only 5 of the intermediate ring engines were ignited during the return burn, so the rocket was unable to brake properly during reentry, which occurred at 1,450 kilometers per hour. The rocket disintegrated and what was left of it impacted the ocean 300 kilometers from the place planned by SpaceX. There were also failures on the ship. Although most of the failures occurred in the Super Heavy rocket, there was also an incident with the engines of the Starship ship. This consists of 3 vacuum engines in the center and 3 sea level engines around it. The difference between them is that those in the center are prepared to operate in conditions of spatial vacuum. Since there is no atmospheric pressure, They can have larger nozzleswhich allow greater thrust with the same fuel. On Starship Flight 12, one of those 3 engines shut down early, so to compensate, it was necessary to keep the sea level engines on for longer than planned. At least it was a mistake that SpaceX engineers were able to correct. Most of the failures were concentrated in the engines And now what? As SpaceX has pointed out, this has been a partial success. There have been many points of the mission that have gone perfectly, but it is clear that there is a lot of room for improvement. To begin with, some questions should be asked, such as whether the shielding system that the engines previously had had prevented the explosion that caused the rocket to disintegrate. In version 2, the external piping system It left the engine so exposed that each of them had individual shielding. In version 3 this shielding has been considered unnecessary when improving that space plumbing system. However, it is clear that it will be a point to review. On the other hand, it will be necessary to study step by step the on and off systems that have not worked properly. Next challenges. On upcoming flights, SpaceX will have to meet several challenges. The first will be to demonstrate the possibility of doing an orbital ignition. It was planned to fire one of the engines individually in orbit, as it is a key step for orbital insertion and controlled returns to Earth. Unfortunately, given the problems that were occurring with the engines, the plan was finally cancelled. On the other hand, it remains a challenge rocket recoverywithout disintegrating. And, finally, we will have to try to make these vehicles quickly reusable, as the Falcon 9 is now. In short, Starship flight 12 has been a success, but there is a lot of work ahead. SpaceX should not rest on its laurels if it wants to stay alive your lunar dream. Image | SpaceX In Xataka | SpaceX is preparing the largest IPO in history: the fact that it is doing so right now is no coincidence

Tesla’s enormous problem in Germany has an alarming figure and a clear person responsible: Elon Musk

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Three out of four potential buyers of an electric car reject the idea of ​​buying a Tesla. The study points to the German market, which is the first electric car market in Europe by sales volume, and explains an important part of Tesla’s failure in Europe during 2025. Three out of four. 75% of potential buyers of an electric car in Germany do not value the idea of ​​buying a Tesla car, according to a study by the German Institute of Economics in collaboration with the Technical University of Dresden. The figure, which in itself is bad, has even more meaning. And that 75% is made up of potential customers who believe it is unlikely to buy a Tesla (15%) and those who completely reject buying a vehicle from this brand (60%). The reason, as we could imagine, is not a question of competition or price. The disaster. Last year, 545,142 electric cars were sold in Germany. It was, by far, the strongest electric car market in Europe. The growth was 43.2% compared to 2024, the year in which just over 380,000 electric cars were sold. Its market share reached 19.1%, above the European average, according to ACEA. For Tesla, however, it was not a great year. In Europe, 150,504 electric vehicles from Elon Musk’s company were sold, 37.9% less than the previous year when 242,436 registrations were registered. The most problematic thing is that the company had achieved a market share of 2.3% (a good bite to eat on the electric car pie, which in 2024 was only 13.6% in the European Union. That is, almost two out of every 10 electric cars sold in Europe were from Tesla. The drop was even more pronounced in Germany. There, the drop was 48.4%, as recorded Reuters at the beginning of the year. And, with everything, It has not been its strongest percentage drop in European countries but the damage in volume is more than evident. The politics. The decision by which the Germans seem to completely reject Tesla is evident to the creators of the study: Elon Musk’s political positioning. According to the authors, political positioning influences the purchase of a car more than sociodemographic characteristics. They point out that young people, those with a higher level of education and those who live in urban areas are more inclined to purchase an electric car. In political terms, Green supporters are the most open to acquiring this technology and AfD (German far-right) voters are the least enthusiastic. On average, they say, the potential customer for an electric car has grown by over 40% and those who reject it outright have also fallen. But the problem for Tesla is that it is not attractive to either group. Among the Greens, only 10.8% value the purchase of a Tesla as their first option and the percentage grows among AfD followers to 15.2% but it must be taken into account that these voters are also less in favor of buying a car of this type. Just lose. The study concludes with a statement: Elon Musk has lost support for buying cars among progressive groups (those who buy the most electric cars or are willing to buy) and has not attracted enough conservative groups to alleviate this disadvantage. The result is a direct consequence of a year 2025 that began with Elon Musk doing a Nazi salute during Donald Trump’s takeover of the United States and which continued with a explicit support of the company’s head for AfD and other far-right parties in Europe. It must be taken into account that this type of political positioning in Germany is much more delicate than in other countries. In Germany the Nazi salute is a crime punished with a fine in minor cases but which can be grounds for imprisonment in more serious cases. Study on preferences when buying an electric car in Germany segmented by political parties. Source: German Institute of Economics The worst option almost always. The image above shows the predisposition of Germans to the type of electric car they want to buy, segmented by their origin and the political parties that these potential customers vote for. According to this data, Tesla is the last option in four of the six political parties studied, even behind Chinese cars as the first option. The latter always surpass him except among CDU and SPD voters (although in both cases a greater percentage considers it possible to buy a Chinese car over a Tesla if we add the second level of predisposition). Tesla reaps the worst results among the Greens and Linke (The Left) and the absolute rejection is greater among the supporters of the latter political party. Chinese cars are, in all cases, the second option chosen when considering those who are willing to buy an electric car and those who value it as a possible purchase. The Germans are the ones who obtain the most support and the first option in all cases, with the greatest support among Green voters and with the AfD as the party with the greatest reluctance to buy it. Photo | Elon Musk in X and German Institute of Economics In Xataka | Tesla is discovering in real time that the most difficult thing was not to build a car brand from scratch: it was to maintain it

We believed that ‘Air’ and ‘Edge’ mobile phones were synonymous with cuts. Huawei wants to explode that idea with a figure: 6,500 mAh

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The surname “Air” (or “Edge” in another case) is usually synonymous with an ultralight design and, therefore, of sacrifices. We have seen it in smartphones like the Galaxy S25 Edge from Samsung or your own iPhone Air of the signature of the bitten apple. The battery is the first victim in the quest for extreme thinness. However, Huawei seems willing to break this rule with its next Huawei Mate 70 Air after return to the top of the market in his native country. According to a wave of leaks and accompanying photos, the Chinese giant is preparing a device that not only claims to be the thinnest ‘Mate’ in history, but does so by integrating a huge battery. We knew that China had the solution for the battery of ultra-thin mobile phoneshere comes the first demo. A “normal” smartphone battery. This is the figure that is focusing all the attention of Huawei’s next launch. Leaks echoed by media such as Android Authority They point to a massive 6,500 mAh battery. If confirmed, in addition to being the highest capacity of a Huawei mobile to date, it would also dwarf the direct competition in the segment. slim: The iPhone Air has a 3,149 mAh battery, across the street, Samsung puts a 3,900 mAh battery in the Galaxy S25 Edge. An engineering challenge. How has Huawei managed to integrate this battery? Leaks indicate that the phone is built on an aluminum and glass chassis with a thickness of around six millimeters which would help. The images seen online confirm an extremely thin terminal that maintains the aesthetics of the Mate family, including its characteristic circular camera module. This is what the Huawei Mate 70 Air looks like in leaked images. Image: Weibo But without a doubt, the silicon-carbon batteries They are what have allowed the Chinese firm to take the leap. We have seen how these have allowed us to stretch the energy capacity up to 15,000 mAh in the case of Realme (still with certain unknowns about its durability) u 8,000 mAh in the Honor one. Without reaching these figures, the 6,500 mAh of the next Huawei Mate 70 Air seems feasible. It won’t skimp on photography either.. The Mate 70 Air looks at a triple system with a 50 megapixel main sensor (possibly 1/1.3 inch), a 13 MP ultra wide angle and an 8 MP periscope telephoto lens. It seems that it will not have to concede in the field of cameras, an ambition that aligns with Huawei’s strategy in recent times. one that has taken him to the throne of mobile photography recently with his Pure 80 Ultra. In addition, they may use again image sensors manufactured on national soil. Huawei is supported by SmartSensa Shanghai-based manufacturer of CMOS sensors: has more than 350 customers and 420 patents of which 190 are of its own invention. Reservations in physical stores of the Huawei Mate 70 Air. Image: Weibo Kirin Heart. And in two flavors? As expected in post-veto Huawei, the terminal will use an in-house Kirin 5G chip. Curiously, at Huawei Central They talk about two variants: the 12 GB RAM model would use a Kirin 9020B (a version with reduced clock frequencies), while the 16 GB model would use the Kirin 9020A, a SoC that we already knew in the Mate 70 family. It is, again, a reflection of the steps that Huawei has been taking in recent times in order to diversify some chips that no longer hidesas well as to ensure your HarmonyOS ecosystemkey in times when you need resilience. Imminent launch. This is not a long-term rumor: according to multiple leakers, the device is already in the reservation phase in physical stores in China and its official launch could be as soon as November 6. That is, in two days. All this happens while Huawei is already preparing new flagships: the Mate 80, which will try to demonstrate power by compensating for the hardware limitations (more evident in chip manufacturing) with custom software. Cover image | Composition with images of Huawei and Jose García for Xataka In Xataka | With HarmonyOS NEXT Huawei has achieved something incredible. Neither Samsung, Microsoft nor Mozilla achieved it

Openai signs with Samsung and SK Hynix for a potential chips demand of 900,000 wafers per month. It is an absurd figure

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In Seoul A package of agreements was closed which reflects how far the career for artificial intelligence is coming. Openai sat down with Samsung and SK to advance his project Stargate And the companies pointed to a goal that surprises on its own: 900,000 DRAM wafers per month. The plan, according to the parties, goes through reinforcing memory production and studying new data centers in South Korea. All this was announced after a series of meetings of Sam Altman, business leaders and President Lee Jae-Myung himself. The appointment at the Seoul presidential office brought together Sam Altman With the leaders of the aforementioned Asian technological conglomerates, in the presence of the president Lee Jae-Myung. The tone was shared: Korea seeks to consolidate as one of the three global powers in artificial intelligence and OpenAi needs to anchor its Stargate project in regions with technological muscle. This lace explains the interest of both parties in formalizing agreements that cover from the memory supply to the construction of new data centers, with a long -term view. An objective that can tension the entire memory sector The volume that has been put on the table is disproportionate if compared to the market. According to Techinsightsthe global capacity of production of 300 millimeter DRAM was about 2.07 million per month in 2024 and would grow to 2.25 million in 2025. reaching 900,000 would mean about 39% of all that capacity. No individual manufacturer reaches such a figure alone, so that the magnitude of the agreement reflects both Openai’s ambition and the growing pressure to ensure the supply of advanced memory. Signed documents include preliminary commitments to expand memory production and evaluate additional infrastructure in South Korea. Among them is the participation of Samsung SDS in the development of data centers, as well as Samsung C&T and Samsung Heavy Industries in its design and construction. The Ministry of Science and ICT contemplates evaluating site outside the Metropolitan Area of ​​Seoul, and SK Telecom has signed an agreement to study the viability of a center in the southwest of the country. It is also proposed to explore the deployment of Chatgpt Enterprise and API capabilities in corporate operations. A key point in all this is in the difference between using and training a model. When someone consults a chatbot, infrastructure of inference is activated, much less demanding. But to train a new generation system, thousands of chips are needed working in parallel, each accompanied by High performance memory modules. This scale multiplies the need for servers, cooling systems and electrical power. In that context, guaranteeing hundreds of thousands of wafers per month does not seem an excess, but a way of ensuring that the next wave of models has the necessary material support. Stargate Data Center in the United States Openai’s computing muscle relies on huge draft alliances. With Oracle and SoftBankthe company prepares five data centers that would provide several capacity gigawatts. Nvidia, meanwhile, has announced that it would invest up to 100,000 million dollars and that would give access to more than 10 gigawatts through their training systems. Openai’s trajectory is not understood without Microsoft, his first great partner. The Initial bet of 1 billion in 2019 and the subsequent investment of 10,000 million gave access to the Azure cloud, Key to train models They promoted Chatgpt. Over time, however, Sam Altman’s company has begun to reduce that dependence. The last movements mark a change of course towards infrastructure in which OpenAI has more direct control, a way of making sure they are not conditioned to a single supplier. It should be remembered that many of the ads remain preliminary. Letters of intention and memoranda mark the will to advance, But concrete details have not yet closed. At the scale that Stargate raises, the risks are evident: from bottlenecks in the production of high performance memory to energy availability to feed facilities of several gigawatts. To this are added the necessary permits and the complexity of coordinating projects with so many actors. At the moment, the signed opens a path, but it remains to be seen what materializes and in what deadlines. Images | Sam Altman | Samsung | SK Hynix | Xataka with Grok In Xataka | I’ve been hooked to Sora 2 for two days: I’m generating absurd memes where I am the protagonist and I can’t stop

Openai estimates that it will enter 200,000 million dollars in 2030. The figure, like everything in OpenAi, is extremely ambitious

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OpenAI has set a target of 200,000 million dollars for 2030, as reported The Information. Your own internal documents reveal that to achieve this you will need multiply by 13 your current income In less than five years. Why is it important. The company is burning billions per month and plans to spend 90,000 million only in R&D by 2030. This represents 45% of its projected income, well above the percentage allocated by large technological ones, which remain mostly between 15% and 30% of their gross benefit, not even their income. If Openai’s income is below the goal, that percentage will be even greater. The figures. Openai expects to move from 13,000 million income at 2024 to 200,000 million in 2030. Its R&D expenditure would be proportionally double that of the most successful technological technological ones, much more mature and settled. To achieve this, it basically depends on large companies continue to invest in generative. If there is A brake on investmenteven if that does not imply the burst of a bubble, OpenAi will have accounting problems. In addition, this projection rises up to only one semester. OpenAI has increased the expected billing by 2030 by the beginning of the year. The big question. Is a business model sustainable where almost half of the income – even the gross benefit – is destined for research and development? If business income does not rise as Openai projects, the company will have a serious problem. Yesterday it was announced Your agreement with Oracle committing to a huge investment level to which you can hardly face except that you change the screws, or to deliver a good part in kind (business use licenses), as Microsoft did with it paying in Azure credits. In Xataka | Baidu is no longer satisfied with being the Chinese Google. His new AI model also wants to turn it into China Openai Outstanding image | IlgmyzinXataka

The domestic robot with which many dream is already real. F.02 Figure has just learned to load a dishwasher

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We have been imagining a future with robots that help us at home. From robotine of ‘The supersonic‘even Andrew from’The Bicentennial Man‘, Fantasy has always been there, but it had never seemed so real. The advances in recent years have taken us to a point where automatons begin to touch the field of everyday life. Figure AI, one of the most ambitious companies in humanoid robotics, has taken a step that brings that future. Your model Figure 02known as F.02, has shown that it can Fold clothes, reorganize packages and load a dishwasher: simple tasks for us, but greatly complex for a robot. A jump that redefines the potential of humanoids With 1.68 meters high and 70 kilos, F.02 is a fully electric robot with an autonomy of about five hours per load. You can walk 1.2 meters per second and transport objects of up to 20 kilos, which places it near the physical range of an average adult. What makes this robot special is that F.02 does not depend on human operators to execute their functions. Unlike Optimus, The Tesla robot we saw in the event ‘We, Robot’ with several assisted capabilitiesthis model works totally autonomously thanks to an artificial intelligence system called Vision Language Action (VLA), designed to interpret instructions and act on your own. The second key point is its ability to learn new skills from training data. F.02 could already fold clothes and move packages, but has incorporated the task of loading a dishwasher No need to redesign your hardware nor to create a new AI model. The company indicates that this task, which seems trivial, hides huge challenges: separating disorder of messy batteries, reorienting them and manipulating them with centimeter precision, coordinating both arms and handling fragile or slippery objects. Each dishwasher is different, each load is a puzzle, and the system must adapt in real time to unexpected errors or collisions. The most interesting thing is that everything has been achieved with the same robot and the same digital brain, only adding data. This draws a future in which domestic robots can receive updates for Expand their abilities without replacing them. They could even learn from their own experience at home, closer to a realistic vision of autonomous and useful robots on a day -to -day basis. Images | Figure ai In Xataka | Anthropic is worth 183,000 million even though he invoices 5,000 million a year. Or it is the business of the century, or it is the madness of the century

The most terrifying figure is 31.3º

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The State Meteorology Agency (AEMET) has reviewed the meteorology last July. We are accustomed to reading on maximum temperatures, extreme rainfall or fast wind gusts, but perhaps the most striking data last month is elsewhere: the minimum temperatures. 31.3º Celsius. We are not talking about the absolute minimum temperature reached last month (the 0.7º Celsius registered in Cap de Vaquèira, Lleida, they have little remarkable), but of the highest minimum temperature of the month. On Thursday 17, the thermometer of the Agüimes station, in Gran Canaria, did not fall from 31.3º. The event occurred during a warm event which affected large areas of Gran Canaria in the middle of last month. During this event, the forecasts indicated maxims of 40º, something rare in the islands, and led Aemet to activate a red notice due to extreme risk on the island. Tropical nights, equatorial nights. The problem of high minimum temperatures has been persistent this summer. There have been numerous occasions and wide geographical areas where the night drop in the thermometers has not been enough to let us stand properly. There are several terms that we use in these contexts, such as tropical nights, referring to the nights in which temperatures do not lower the 20º; and the Equatorial or Torrid Nightsin which it does not get off the 25th. However, in some places, the problem has gone even further, with mercutes that did not even go down from the 30th. Ensure rest. Reconciling sleep at these temperatures is a difficult task if there is no Fan or air conditioning assistanceso our nighttime rest suffers. That is why, although maximum temperatures usually call our attention more, high minimum temperatures may also be problems. A worrying trend. Of course, this is a problem that, if the forecasts continue to be fulfilled, will go worse, not only in the long term as a consequence of climate change, also during this month of August that opens with a heat wave that It still affects To a good part of the Peninsula. The present heat wave It is also bringing high minimum temperatures. Tonight, for example, it is expected that they do not fall from the 20th in various areas of the country, and they will be able to stay above 25 in areas of the Mediterranean, of the southern peninsular half, in the depressions of the Northeast, or even in areas of the northern peninsular, on the plateau and in Galicia. Not just heat. The new statistics published by the Agency also mention the maximum absolute temperature registered in Spain in July, the 43.3º observed in Granado, Huelva, on Tuesday, July 1, in the first of the heat waves recorded this summer. The agency’s data also included data that describes the intensity of the tormentous episodes seen in the middle of the month, such as gusts of up to 133 km/h registered in Caspe, Zaragoza, on the 10th; or the 155.4 mm of rain collected on the 12th in Vilafranca del Penedés, Barcelona. A striking fact if we consider that in the Catalan town, 216.4 mm were collected throughout the month; That is, more than 70% of monthly rainfall in the town occurred in one day. In Xataka | This year’s rains were supposed to leave us overflowing swamps in summer. Reality is being very different Image | ECMWF / Ivan Oboleninov

A list of the best paid CEOs leaves us a figure of how the salary of managers has risen since 1978: 1,085%

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The Wall Street Journal publishedThe list of the best paid CEOs of 2024. The list itself already presented some curiosities. For example, the fact that, surprisingly, CEO of great technology that accumulate stock capitations Superior to the GDP of some countries, they are not found in the top positions of this list. However, its publication has put the table on the table Huge salary difference which exists between the figure of the company’s executive director and the average salary of its employees. A study of Economic Policy Institute He has investigated The evolution of this difference and has discovered that, since 1978, CEO wages have increased 1,085%. He Salary of its employeeson the other hand, it has only done so by a fraction of that percentage. The CEO who won the most in 2024. According to the list published by The Wall Street Journal Based on public remuneration data of the companies of the S&P 500, the best paid executive in 2024 was Rick Smith, CEO of Axon Enterprise that bases their business on the manufacture of electricity weapons of defense or taser. Smith received no less than 164.53 million dollars in 2023. Just behind, we find some old acquaintances of this type of listings. Lawrence Cup, as CEO of General Electric pocketed 88.95 million, or Stephen Schwarzman, CEO of Blackstone that received a bonus of 84 million dollars. To find What some of the technological CEOs chargedwe must go down to the fourth place that Tim Cook occupies after receiving a salary bonus of 74.61 million dollars. Rico worker, poor worker. Beyond the salary that each company wants assign its managers For the achievements, there is the background of the salary gap between the managers of those companies and their employees. In this case we are not talking about a senior manager should charge the same as its employees, but, proportionally, the remuneration of managers have increased to a greater extent among members of the board of directors than among their workers. In your report, The researchersof the Economic Policy Institute They point out that between 1978 and 2023, the executive directors of the main companies of the S&P500 have increased their remuneration by 1089%, while the average salary of their employees has done so in 24%. Exponential growth from 90s. The data reflects that the increase in these remuneration to managers has not been linear and progressive, but shot between 90 and 2000, remaining at those levels since then. Putting the focus between the salary of the CEO and the salary average of its employees, between 1964 and 1978 an executive director charged between 15.4 and 23 times the salary of its employees. On the other hand, between 1978 and 1990 that figure amounted up to 44.9 times and, from 1995, that figure is triggered until reaching levels of 398 times the salary of its employees reached in 2000. Since then, the successive economic and financial crises have made me make that That figure oscillates between 330.2 times and 190.6 times higher than the average salary of its employees. The elite inside the elite. This increase has not only occurred among the general labor mass of the workforce, but the CEOs have become a kind of elite among the elite. The study analyzes the evolution of CEO remuneration With respect to salaries of 0.1% that charges the most in companies, and here they have also marked differences following the same pattern as with the rest of the workforce. Between 1964 and 1990, the CEO charged between 2.6 and 3.1 times more than 0.1% of better paid employees of its workforce. However, from the 90s that difference is triggered until reaching 9.2 times in the 2000s, and reaching 9.4 times the salary of the best paid employees registered in 2021. What counts is your influence. The authors of the study suggest that the astronomical salary increase of the CEO is not due to their worth making business decisions, but responds to a consideration for the weight of the manager on the Board of Directors. How much greater is its influence And power at that board is its salary. “There should be meetings of the Board of Directors where people ask: ‘Can we afford to pay less to our executive director?’ assuredto The Washington PostDean Baker, co -founder of the Institute in charge of the report. An example: Elon Musk in Tesla and his enormous capacity to influence a board of directors formed by personal friends, former collaborators and even his brother Kimbal. Thanks to this ability to influence the Board of Directors, the CEO can negotiate more generous remuneration than when they submit to the scrutiny of people without direct linking. According to the authors of the study, this capacity for influence may have made the CEO establish salary increases for faster managers, “concentrating income in the highest and leaving less profits for common workers.” A salary detached from the results. At this point, it is easy to think that this increase is due to the fact that the CEO of those companies They have been geniuses that have taken companies to their best historical dimensions and that is why they are rewarded. However, the data They tell us something else And the researchers confirm “the salary increase of executive directors does not reflect an increase in the value of skills or in the contributions to the productivity of companies,” says the EPI report. In 2024, for example, the best paid manager was Hock Tan, CEO of Broadcom, with 161.74 million dollars. The Board of Directors justified its salary bonus because the company had managed to double its stock market value. However, Badrinarayanan Kothandaraman, executive director of Enfase Energy, received compensation of $ 19.52 million while his company left 50.1% of its value. Bag balls. To try to correct that dynamic, from the end of the 90s and 2000, many companies assigned company shares As part of the salary of its managers. The study data reveal that, in … Read more

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