Year

Samsung confirms the date of its next Unpacked in a year full of challenges

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The Samsung Galaxy S26 They are just around the corner. We could intuit that, but now it is official. And Samsung just confirmed the date of your next Galaxy Unpackedan event that will take place at the gates of the Mobile World Congress (although much further away) and in which AI will once again be the main protagonist. when and where. Galaxy Unpacked will take place on February 25 in the city of San Francisco, United States. The conference will be at 7:00 p.m., Spanish peninsular time, and can be followed through the usual channels. Among them, of course, the live one we will do from Xataka. What do we expect? Unless there are surprises, it is most likely that we will know the new Samsung Galaxy S26. If nothing changes, it should be a family of three devices, with the Ultra model being the flagship. Even though AI PCs have not finished taking shapeSamsung has already started talking about “AI Phone” and assures that its new smartphones represent “a new stage in the era of artificial intelligence, where technology becomes truly personal and adaptable.” We’ll see what this means. A year of challenges. Samsung has a tough year ahead. The Galaxy S are no longer the only exponents of the most premium high-end and Chinese firms are pushing hard. There they are OPPO, Xiaomi, Motorola and Honorto give just a few examples. In terms of pure and simple specifications, the entire high-end range plays more or less in the same league, although Samsung starts with a clear advantage: brand positioning and ecosystem. As far as the technical specifications are concerned, last year we missed a more notable leap in photography and battery. Seeing how Chinese brands are spending money on silicon-carbon batteries and the 200 megapixel telephotosthis year these two sections aim to become even more important. Without forgetting the component crisis. Another important aspect that will be interesting to see how Samsung has resolved is that of the components, courtesy of AI. We are immersed in a RAM and storage crisis, to the point that we are seeing mobile phones again with four gigabytes of RAM and not so ambitious configurations. And it is important, because RAM goes far beyond keeping more apps in the background. On the other hand, and everything must be said, there is no evil that does not come with good. Samsung is one of the largest manufacturers of RAM and that branch of the business is scary. The results for the fourth quarter of 2025 speak for themselves: a year-on-year profit increase of 208% and shares completely skyrocketing. Cover image | Xataka In Xataka | With the consumer segment drowning, Samsung is the first to manufacture HBM4 memory. And it will be for NVIDIA, of course

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

This year more will be invested in data centers than what the US spent to reach the Moon

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We are witnessing live a technological race that is no longer measured only in announcements or demonstrations, but in tangible investments that grow at a speed that is difficult to ignore. In the United States, and also in other regions, large companies are allocating increasing amounts of money to build and expand the infrastructure that supports the current deployment of artificial intelligence services and the expansion of computing capacity that these companies pursue. Some speak of excessive enthusiasm and even a possible bubblebut the money already invested is part of the economic reality of the sector, while the projected figures point to an even larger scale. The question, therefore, is not whether the bet exists, but how big it really is. The numbers. If the first step is to assume that the investment exists, the second is to quantify it precisely. Data collected by The Wall Street Journal They suggest that Meta, Amazon, Microsoft and Alphabet (Google) could concentrate a joint expenditure of up to $670 billion in 2026 aimed at artificial intelligence infrastructure. We are talking about capital outlays associated with data centers, hardware and capacity expansion, not just “brick”. When a single annuity reaches that order of magnitude, the conversation shifts from expectations to measurable economic consequences. Dollars are not compared. What the analysis proposes is not a direct equivalence between amounts spent in different times, but rather a way of measuring the economic weight of each effort in its own historical context. Instead of adjusting old figures to current prices for inflation, the article uses the percentage of gross domestic product (GDP) as a common reference for separate projects over time. That shift in focus shifts the conversation from absolute money to relative magnitude within the U.S. economy. And it is precisely there where the investment associated with artificial intelligence acquires a historical dimension that is difficult to ignore. The investments. Among the great economic milestones that are often used as historical references in the United States, there are episodes as different as the Louisiana Purchase, the railroad expansion of the 19th century or the construction of the interstate highway system, all of them with different relative weights within the economy of their time. Using that same metric, this effort has been estimated around the following magnitudes: Louisiana Purchase: 3% of GDP Railway expansion: 2% of GDP Interstate highways: 0.4% of GDP Apollo Program: 0.2% of GDP As we can see, the planned investment in artificial intelligence infrastructure is around 2.1% of GDP. It’s not the same, but. Historical parallelism functions as a scaling tool, not as institutional equivalence. The large projects with which the current moment is compared were, in many cases, public initiatives financed directly or indirectly by the federal State, while investment in AI infrastructure corresponds mainly to corporate spending. That distinction is important, however, from a strictly economic perspective, the relative size of the effort remains comparable. The State does not pay the main bill. That the bulk of investment is private does not mean that the public sector remains on the sidelines. It’s no secret that the U.S. government influences the pace and shape of deployment through regulatory decisions, permitting, energy planning, and federal land use for new data center infrastructure. This set of levers is not a substitute for corporate capital, and at the same time it fits with a broader strategy aimed at preserving American leadership in the global race for AI. Historical comparison. This ends up pointing out something deeper than a simple number: it indicates the type of priority that a society decides to give to certain technologies at a specific time. When investment in AI infrastructure reaches a relative weight comparable to that of major American economic milestones, reading transcends the technology sector and enters the strategic realm. Images | POT | freepik In Xataka | Daniela Amodei, co-founder of Anthropic: “studying humanities will be more important than ever”

NVIDIA will not launch new graphics this year, according to The Information

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Being a PC gamer today is more like a test of patience than a simple hobby. After years marked by skyrocketing prices and shortages, the rise of artificial intelligence has added a new layer of tension to the hardware market. Memory has become a particularly disputed resource and its effects are no longer limited to data centers or large companies: they are beginning to be felt directly in the game ecosystem, right where users expected at least some stability. what’s happening. The current doubts stem from a chain of information that must be located precisely. The Information points out that NVIDIA does not plan to launch new GeForce graphics cards for gaming in 2026, a decision that this source links to the memory shortage that the industry is experiencing. This is not, in any case, a public confirmation from the company, but it comes from two people with knowledge of the matter who spoke to the aforementioned media on condition of anonymity. What NVIDIA says. The American manufacturer has not remained completely silent. In fact, speaking to Tom’s Hardwarehas revealed part of the problem: “Demand for GeForce RTX GPUs is high and memory supply is limited. We continue to ship all GeForce SKUs and work closely with our suppliers to maximize memory availability.” Understanding pitches. NVIDIA’s historical cadence combines two different rhythms that should be separated. On the one hand there are architectural changes, spaced over time and associated with clear leaps in performance or functions. On the other hand, the intermediate versions that refine what exists through memory, consumption or frequency adjustments, keeping the range alive. This hybrid strategy explains why we see a constant annual presence of new cards even when the technological base remains intact. The best way to understand this cadence is to look at what has happened in recent years, with architectural changes every 2-3 years and refreshes or expansions the rest of the time. Under this pattern, what was expected for 2026 was precisely another intermediate refresh of the RTX 50 series, the one that is now in doubt. The component that really sets the pace. The discussion about new cards usually focuses on the power of the graphics chip, but the current bottleneck seems to be located elsewhere in the chain. NVIDIA usually provides its partners with a complete set that combines GPU and memory, so the lack of sufficient GDDR7 modules prevents closing that package and, therefore, distributing new units. Under this industrial logic, memory shortage stops being a secondary problem and becomes a determining factor. Memory for data centers. The aforementioned material limitation does not appear in a vacuum, but at a time when the technology industry is rearranging priorities around artificial intelligence. Data centers dedicated to training and running advanced models demand huge volumes of memory and largely share the same supply chains as consumer hardware. When that pressure increases, available resources tend to shift toward the business segment. Searching for normality. With the present conditioned by available memory, the great unknown becomes when the true generational change will arrive. According to the information collected by Tom’s Hardwarethe internal roadmap would place mass production of the RTX 60 beyond 2027, which could shift its effective arrival to the market towards 2028. There is no direct confirmation from NVIDIA on these dates, so it is best to treat them as estimates from sources familiar with the planning. Images | Xataka In Xataka | The CEOs of NVIDIA and TSMC sat down for dinner and dessert was a request: the world needs wafers and RAM memory

The world is amazed by Moltbot (formerly Clawdbot). It turns out that China had already invented it almost a year ago

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The phenomenon of the end of January has been Molbotformerly known as Clawdbot. It is one of the AI agents most powerful of the moment, to the point that it warns of its own risks even before being installed. An agent who seemed to have no competitor and to be one of a kind. We were wrong. TARS-1.5. Although it has not made as much noise, in April 2025 it was launched UI-TARS-1.5an open source multimodal agent capable of performing all types of tasks within desktop environments. UI-TARS-1.5 is a multimodal agent designed to interact with the digital world through graphical interfaces, using the screen, mouse and keyboard. It came into the hands of Bytedance, a company behind giants like TikTok and one of the main players in the development of artificial intelligence in China. The difference. 1.5 is an AI agent designed to use a computer as a person would do. See the screen, identify visual elements and act using mouse and keyboard. Unlike Moltbot, it does not execute code or commands directly on the system, but rather interacts with the PC from the outside, at the interface level. It’s safer by design, because you can’t break the system by running arbitrary code. In addition, it reasons before each action, which reduces errors accumulated in long tasks. UI-TARS does not control your computer. He uses it. Moltbot does not use your computer. He controls it. What can you do? UI-TARS interacts “talking” with your computer. It is capable of executing tasks in our interface by analyzing what is in it. Serves as a programming assistant. It can behave like a human to test apps. It works as a tutor to perform complex tasks. You can manage desktop tasks and PC management. Why is it important. The new war for AI will not focus exclusively on models like Gemini, ChatGPT or Claude: the next step is to achieve a local AI capable of acting like a human, but with certain security guarantees. Moltbot, UI-TARS, Kimmi K2.5 (also Chinese)… Although agentic AI sounds distant, the war to make it part of our daily lives has been brewing for years. Image | Xataka In Xataka | Studying with AI without thinking teaches nothing: these tips can help you take advantage of it and really learn

“We are not going to launch a flagship a year just for the sake of it”

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If there is an immovable rule in the technological world, it is that every year a new generation of any product must be launched. If not more. The RAM market may explodebut what is certain is that every year we will have a new samsung galaxy and a new iPhone. And to the question of whether it is necessary to have a new high end mobile Every year, someone has answered that, perhaps, it is not necessary. It has been Nothing, and curiously it could do with a high-end. But… it makes sense. In short. Carl Pei is not only one of the founders of OnePlus: is the mind behind the launch of the Nothing brand. After landing in 2022the British company has relied on different marketing, but also on a CEO who is very active in networks, as well as open about the future of the company. Faced with the opacity of colleagues/rivals, Pei has always been quite ‘playful’ with the opinions of both the industry and his brand and the segment in general. In a recent self interview published on his YouTube channel, he has given an interesting key. “We’re not going to launch a new flagship every year just for the sake of it.” There are two melons here: one is that we won’t have the Nothing Phone (4) in 2026. The other is that you are quite right considering how things are. Rampant crisis in the background. Although companies like Micron, Samsung either NVIDIA It is coming in handy, we have been immersed in a -new- components crisis for weeks. RAM was the first product whose price turned this basic component into a luxury one, but the graphics cards and SSDs have followed the same path. And things do not look like they will improve in the short and medium term. This RAM crisis has already resonated in the smartphone segment. There are two options: either -much- more expensive mobile phones or mobile phones with -much- less RAM. Goodbye to the crazy 24 GB of memory on a mobile, welcome 4 GB. Pei himself already commented: if things continued like this, and they have remained the same, the user will have to choose between pay 30% more for a new mobile or settle for a new mobile phone at the same price as the previous one, but with less RAM (and the storage we would see). Come on, Pei has said, without saying it directly, what the decision would be with a Nothing Phone (4). Software > Hardware. Now, as they point out from Xataka Mobilethe fact that there is no new Nothing ‘flagship’ for 2026 does not mean that they are not going to launch a mobile phone. It is estimated that they are working on a mid-range Phone (4a) that will take up the baton of the notable Nothing Phone (3a) at the same time they keep the components short so that the price does not go down. And, furthermore, it gives meaning to an industry strategy, one in which the greatest advances that we have seen in recent generations have more to do with cloud services, artificial intelligence and everything that software encompasses… more than hardware. Yes, more powerful, faster and capable hardware is important to perform tasks within the device, but the cloud is also a pillar in this software. Qualcomm pushes another narrative. On the other hand, there is the strategy of some hardware companies that are obliged to keep the wheel turning. NVIDIA and Qualcomm are two examples, with more capable graphics cards not so much in terms of raw power performance, but rather better processing of artificial intelligence tasks such as DLSS. And also Qualcomm, which every year-end presents its new chips for mobile devicesand those are the ones we see in the new launches of the most premium range. Because each new generation is more powerful than the previous one and -may- have better cameras and more generous batteriesbut it is also true that from year to year we are not seeing considerable jumps between devices from the same brand. And that is when it makes complete sense for a company like Nothing to point out that, perhaps, this annualization of the ‘flagship’ is not necessary. It would be necessary to see what would happen in a context other than a component crisis, of course, but Pei himself has said on occasion that software is the future. Image | Xataka In Xataka | I had no idea what the future of the smartphone is. Until I spoke to Carl Pei

You are more likely to die on your birthday than the other 364 days of the year.

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Every year we blow out the candles to celebrate that we have circled the sun again; that we are still alive. For most, it is an early and joyful date, but the statistic hides a disturbing reality: the probability of dying is significantly higher on our birthday. The birthday effect. This is the name of this curious statistical phenomenon. It has been observed that mortality increases on the date of the birthday and also in the days close to it, both before and after. Although there are no figures at a global level, numerous studies have been carried out in different populations and in all of them an increase in deaths has been seen on these dates. Because? Studies. The birthday effect has been studied in different populations such as the United Kingdom, Switzerland, the United States, Ukraine, Russia and Japan. With more than 40 years of data, Switzerland has one of the largest studios about this phenomenon and the conclusion is devastating: there is an excess of deaths of 13.8% on birthdays. In the United States, data on more than 25 million deaths were verified and an excess mortality of 6.8% was detected on birthdays and nearby days. The most striking case is that of kyivwith an excess of deaths of 44.4%, although the sample was smaller (just over 100,000 deaths in a ten-year period). Differences by gender. One of the first studies that was done on this phenomenon was in California in 1992 and detected a curious difference between genders: men died more in the week before their birthday and women in the week after. Other studies, such as the one we mentioned from kyiv, have also seen a difference between genders, but focused on quantity: 44.4% of male deaths and 36.2% of female deaths. Age and seasonality. Other relevant patterns have been identified. In the United Statesexcess mortality exceeded 25% in the 20 to 29 year old group. Another revealing fact is the peak deaths on 21st birthdaywhich is just the legal drinking age. There are also times of the year where this effect is clearermainly the month of January. The causes. The main cause is related to typical risk activities in celebrations, mainly the consumption of alcohol and drugs that leads to overdoses or traffic accidents. It is also common for this date to generate an effect known as “birthday depression”a state associated with loneliness, trauma or fear of finitude, which increases suicide rates. In Japan, The risk of suicide increases by 50% on the birthday. Also has been studied in Hungarywhere the risk is 40% higher. Physiological and psychological theories. There are studies that have attempted to relate this excess mortality to physiological causessuggesting the existence of annual biological rhythms that could modulate the risk of death throughout the year. Others point to psychological or psychosomatic reasons: from seriously ill people who “hold on” until their birthday or deaths generated by their own awareness of mortality and the stress that this causes. Image | Imants Kaziļuns in Unsplash In Xataka | The great statistical hoax of life expectancy: it does not mean that in the past we lived less

Now they have woken it up and it is already surpassing the US in bullets produced per year

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For much of the Cold War, Europe assumed that its industrial role in defense was secondary to American muscle, and that mass munitions production was on the other side of the Atlantic. Eight decades later, that logic starts to invest: not because the continent is fully rearmed, but because a single European company It is already capable of manufacturing more bullets in a year than the entire US military industry. The geopolitical trigger. The turn of American policy under Trump, with insinuations as extreme as possible annexation of Greenland and one increasing pressure for Europe to assume its own defense, has reopened a question that for decades seemed unnecessary: ​​whether the continent would be capable of arm and defend yourself without the United States. The response of analysts and policy makers is affirmativebut with important nuances, because replacing the US military umbrella (from personnel to equipment and critical capabilities) would have an estimated cost of around a billion dollars and would require years of industrial and strategic transformation. The awakening I remembered a fact the wall street journal that we recently told: after decades of underfinancing and fragmentation, the European defense industry is experiencing its greatest acceleration since the Cold War, driven by the war in Ukraine and a massive increase of military spending. The production of drones, ammunition, armored vehicles and ground systems has been shotwith new companies emerging in record time and large groups expanding factories and workforces, supported by a political and financial environment that just five years ago would have been unthinkable. This rearmament has turned Europe into an industrial actor much more dynamic, although still uneven according to sectors. Money changes the balance. Another fact: Europe spent around to 560,000 million dollars in defense last year, double that of a decade ago, and its investment in equipment is on track to reach 2035 about 80% of that of the Pentagonwhen in 2019 it did not reach 30%. This change not only brings operational autonomy closer, but also threatens to reduce the weight of American manufacturers in a market that today contributes up to 10% of your incomefueling a slow but perceptible shift towards weapons produced on the continent itself. Rheinmetall Panther KF51 Advantages and successes. In some areas, Europe is no longer just defending itself, it is surpassing the United States. Companies like Rheinmetall will soon be able to produce more 155mm artillery ammunition than all American industry togetherwhile the continent dominates the manufacturing of battle tanks, ships and submarines that are successfully exported around the world. Names like that of the leopard tankEuropean shipyards and the rise of drone manufacturers in small countries like Estoniaassets that illustrate a solid and increasingly competitive industrial base. The great lagoons. Despite progress, they persist critical deficits that limit real independence: Europe lacks, for example, its own stealth fighters, and depends on the United States for what is called satellite intelligence, anti-missile defense, military cloud computing and very long-range missiles. Not only that. How we countstill tied to maintenance and updating of American systems such as the F-35 or the Patriot. These gaps explain why many countries continue to purchase weapons outside the continent, even as they declare their intention to strengthen strategic autonomy. Fragmentation, the great brake. More than the lack of technology, one of the main obstacles is the political and industrial dispersion: Each country wants its own plane, tank and ship, diluting investments, delaying programs and making production more expensive. This fragmentation slows down rearmament, forces us to resort to external suppliers (like South Korea in the case of Poland) and makes it difficult for Europe to act as a coherent bloc capable of responding quickly to a major crisis. Autonomy yes, but gradual. In summary, experts agree that Europe can arm and defend himself by itself, but not immediately, but progressively. Projects for long-range missiles, satellite constellations and greater industrial integration are already underway, with countries such as France and the United Kingdom trying to reduce key dependencies. However, a significant degree of American supportwhich makes this billion dollar career in a hybrid something different than a sudden break with Washington, something more like a slow and complex transition towards a more self-sufficient European defense. Image | 7th Army Training Command In Xataka | Germany is experiencing a new “industrial miracle” that it already experienced 90 years ago: that of weapons In Xataka | 100 years later, Renault is on the verge of producing war machinery again: military drones together with Turgis Gallard

There is a perfect time of year to ask for a raise: January to March

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The first quarter of the year is strategic for companies since in those months the annual salary reviews are closed, taking advantage of the fact that the real results of the previous year are known and decisions are made. concrete adjustments in budgets for that year. For this reason, this first quarter offers a window of opportunity for negotiate salary increases because companies know exactly what budget they can allocate to these salary increases. Doing so during this period makes it more likely get a raise than in July or October, when that budget is already allocated. Increase season: January to March. The natural cycle of many organizations places January as the start of salary reviews, just after closing last year’s accounts, and those for the new year are being planned. As and as you remember Andrea Ramos, the expert in Human Resources and recruitment, in one of her latest videos, during that first quarter, those responsible for human resources and management have a fresh and precise vision of the margin available for increases, which means that your request arrives at a time when adjustments are already being distributed based on real data. A meeting at 11 in the morning. Attempting a negotiation outside this time range, such as in spring or autumn, is usually counterproductive because it does not fit into the company’s internal agenda and may be perceived as out of date. In fact, studies analyzed by the Oberta University of Catalonia not only recommend that the salary review be done in January, but they even refine by proposing a time to request it: 11 in the morning. According to María Naqui, collaborating professor of the Psychology and Educational Sciences Studies at the UOC, “11 in the morning is a good option because having high cortisol levels drives us to make decisions. Even so, asking for a salary increase is something personal and not all of us function in the same way.” That is, not only would you be in the appropriate window of opportunity to obtain the salary increase, but the person responsible for giving it to you will have a greater predisposition to do so. Everything adds up to put things in your favor when you have already decided overcome fear to ask for a salary increase. You have to prepare the meeting. In his video, Ramos highlights that before any talk about salaries it is necessary to add a context that reinforces that request. “Write down a list of measurable achievements from the last year,” the expert recommends. This step provides a base of objective evidence to not depend only on subjective perceptions, but on facts that anyone can verify in internal reports. Next, compare your official job description with the tasks what you really do in your daily life and value that difference between the tasks and their initial assignment and the impact on the company of what you are really doing. However, the most important point is investigate the salary band market for your exact position. That is to say, How much are other companies paying? in positions similar to yours. This will allow you to establish a new realistic range and enter the conversation with verifiable data in hand of your target salary and the minimum you would accept. Open petition. Something that Ramos especially highlights in his video is that, after present with objective data arguments that justify the salary increase, the approach to the issue should not be done with a formula that leaves the door open to a yes or no, but rather forces the personnel manager to offer a reasoning. “What would have to happen for that salary to be reviewed in the coming months,” suggested the hiring expert. With this open formula, the promotion is not considered as an immediate decision, but as the result of a process, forcing the person in charge to establish an assessment of your current position, conditioning it on goals and objectives. Not just to make a closed election. If you don’t get the raise immediately, you have already gotten the necessary steps on the table to get it later. In Xataka | Technology salaries in Spain do not depend on the skills of the employee. They depend on the type of company Image | Unsplash (Vitaly Gariev)

Your VPN is half price for a year

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One of the most useful tools we can have to browse the Internet safely is, without a doubt, a VPN. There are those that they are free and that, for specific use, they fulfill their function. Now, in the long run, They are not the best option: They are usually unsafe and its operation may involve slow Internet traffic. There are payment options that work very well and that we can purchase at very competitive prices, such as the Kaspersky VPN: right now it is on sale and a full year costs only 19.99 euros. Kaspersky VPN Secure Connection (1 year) The price could vary. We earn commission from these links A very configurable and easy-to-use VPN A VPN, regardless of whether we use it on a mobile phone, a tablet or any other compatible device, will allow us to pass all our Internet traffic through an encrypted and secure tunnel. In this way, no one will be able to see what we are doingso we will have a greater degree of privacy even if we browse a public WiFi network. In addition, of course, we will also protect our IP address. This Kaspersky VPN includes several interesting features. For example, it has what is called a kill switchso if the VPN disconnects, our Internet traffic will automatically be interrupted so that our data is not in danger. In addition, it can be configured to only work, automatically, with certain applications or with a specific browserFor example. Another interesting point is that it is compatible with both Windows and MacOS, Android or iOS, so we will be able to install it on almost any device. It also has more than 6,000 servers distributed in more than 85 locations, which means that we will always have a server available to connect to. As we said at the beginning, this usually has a price of 39.99 euros per year, so it is a quite interesting discount. This promo includes this tool for one device, although if we want to use it on more simultaneously, We also have a discounted plan that includes the VPN for 5 devices for one year for 26.99 euros (its normal price is 45.99 euros). Once the year ends, any of these plans will return to their usual price, but we can unsubscribe whenever we want, since there is no no type of permanence. It is also worth mentioning that it has a period of 30 days where we can test this VPN and, if it does not convince us, request a full refund. Some of the links in this article are affiliated and may provide a benefit to Xataka. In case of non-availability, offers may vary. Images | Domenico Loia on Unsplash In Xataka | Why it is dangerous to connect to public Wi-Fi and what you should do to protect yourself In Xataka | Free VPN and security: what’s the problem, why you should be careful

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