A percentage illustrates to what extent there is no going back in the war war against teleworking: 14.6%

The Covid-19 pandemia accelerated the adoption of teleworking in Spain, five years later, the mantra that the teleworking had arrived to stay admits some nuances. While it is true that it does not record the adoption figures of 2020, it does seem to have stabilized by the advantages it offers To companies. Gone were the days when going to the office was the only option and Teleworking was a science fiction thing. With almost 15% adoption, teleworking double They value conciliationor as a talent collection tool for companies. Teleworking is stabilized. As we already pointed out in October 2024, Teleworking has started a consolidation stage in the labor market after its boom and subsequent fall. According to data collected in the last Randstad Workmonitor Report14.6% of Spanish employees Teletrabajan. This implies the highest figure of the last three years, and a considerable increase with respect to 5% teleworking that was recorded in 2019. This means that approximately one in six workers has adopted this modality, either teleworking full time or in a hybrid day format that combines days in the office with days at home. The most significant thing is that, despite the increase in the policies back to the office that some companies have undertaken, the slight rebound of the last quarter of 2024 registered by the INEThey reveal that teleworking has maintained the guy. More flexibility and conciliation. This percentage represents a significant change in the labor market, in a country with a strong face -to -face work such as Spain. “The new hybrid work models are consolidating in Spain and in the rest of the developed countries as a result of a demand by employees to implement measures that facilitate the conciliation between working and staff life,” says Oriol Mas, general director of Randstad Enterprise. Although teleworking has not meant the total revolution that some predicted, it has been consolidated as a tool for Time and conciliation flexibilityas well as to maintain productivity before specific or meteorological events that in other times would have involved stopping business activity. An example was the Dana that Valencia sufferedor recent meteorological alerts in which great companies recommended Your employees work from home. The secret of success: hybrid day. The factor that has made this increase in teleworking have been the appearance of The hybrid dayswho have gained prominence in recent years. This model allows to maintain the cohesion of the equipment with face -to -face days, and make the day with teleworking days. In absolute terms, the Randstad report indicates that only 7.5% of the total employees who telework do so full time, while the remaining 7.1 does so regularly in a context of Hybrid Day. Where do you telework more. Teleworking is closely linked to the nature of the companies that offer it, so the type of companies in a territory decisively influences the percentage of teleworking. According to him Randstad studythe autonomous communities where the most telework are usually those with a greater concentration of technology companies and large companies. By communities, Madrid leads teleworking with 25.9% of total workers betting on this modality. 13.5% do so regularly (3 days or more), while 12.4% do so occasionally (less than three days per week). It is followed by Catalonia (16.2%), Community Valencian (14.4%), Basque Country (13.1%) and Galicia (12.4%). Teleworking percentage by Autonomous Communities In contrast, those communities with the greatest predominance of manufacturing industry or the primary sector are those that register a lower incidence of teleworking in their labor market. La Rioja with only 6.3%is the one with the lowest percentage of Teleworking, followed by the Canary Islands (8.2%), Navarra (9%), Castilla y León (9.3%) and the Region of Murcia (9.4%). In Xataka | Teleworking dominated the world during pandemia. Five years later your reality is very different Image | Unspash (DFY)

We knew that US Big Tech had a problem with the costs of their AI. DeepSeek has just shown to what extent

DeepSeek is the new darling of AI. This family of models, developed by a Chinese R&D laboratory of the same name, has achieved what seemed impossible: compete with the OpenAI or Meta models and do so, according to them, at a much lower cost. Is that true? A development 18 times cheaper than GPT-4. The Chinese startup released DeepSeek V3 671B at the end of December 2024. Its gigantic model was trained in just two months with a budget of 5.58 million dollars according to SCMP and analysts cited in Financial Times. Its performance is comparable to OpenAI’s GPT-4, but the latter cost about $100 million to develop according to Sam Altman. That’s almost 18 times more if we take into account both the data revealed by SCMP and Altman’s estimates. Comparative cost of the main chat and reasoning models today. DeepSeek’s price is incredibly lower than its competitors. Data: DeepSeek, OpenAI, Anthropic, Meta. Amazingly cheap. The cost of DeepSeek’s API is incredibly low when compared to its competitors. If we take the data from DeepSeek, Goal, OpenAI, Google and Anthropic It seems to be clear that the cost of using DeepSeek through its API is much lower than that proposed by its rivals. We have included the cost of GPT-4o mini which seems to be the only one comparable, but its performance is much lower than DeepSeek V3. DeepSeek V3 is superior to most of its competitors, although it is true that Meta has released for example Llama 3.3 in recent days and that comparison varies frequently. And it is (theoretically) superior to all. As they point out on RedditDeepSeek V3 prices are promotional: starting February 8 they will be $0.27 per million input tokens (almost double) and $1.10 per million output tokens (almost four times more) . This makes the comparison somewhat better for the competitors, especially for Llama, the only one that can compete in cost although the Chinese model is superior to that of Meta (and almost also to the rest in many metrics) according to the benchmarks carried out in DeepSeek. DeepSeek also “thinks” cheaper. The cost comparison is not only in favor of DeepSeek in the area of ​​traditional chatbots, but also in the area of ​​reasoning models. According to its internal benchmarks, the spectacular DeepSeek R1 It is significantly superior to OpenAI’s o1, but using the o1 API costs 27 times more than that of DeepSeek R1. Hallucinatory. Price drop in sight. As expert Ethan Mollick points out, the market will adjust to these DeepSeek-driven price drops fairly quickly. According to their estimates, the cost of a GPT-4 level AI was reduced 1000 times in 18 months, and a 95% drop in the price of the reasoning models, which right now are clearly higher than the AI models behind ChatGPT, for example. a chinese tsunami. The launch of the DeepSeek models is a great little revolution for all types of developers of AI-based solutions: they now have access to much cheaper models that are comparatively equal to or superior to those of the competition. This puts their rivals in a lot of trouble, and we will see how they react. Good news for users. The truth is that for us, the users, as well as for the developers, this is great news, especially because these prices make access to these functions incredibly cheaper. The market has been following this trend clearly, but DeepSeek has made the jump in cost reduction suddenly drastic. Image | Xataka with Freepik Pikasso In Xataka | OpenAI prepares a PhD-level AI. It is so promising that he will first show it to the US Government

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