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A new study shows that computers that make you less productive: Here is the reason

The main selling point of artificial intelligence computers (AI) is to help increase productivity, a message that computer companies such as Dell and HP were in the foreground and the middle in their sales. The markets are also optimistic about the makers of laptops that motivate them on the Dell computers about 82 % so far this year. However, a new Intel wiping pours cold water on the thesis that computers that will lead to a largely higher productivity.

Here, we will discuss the Intel poll and whether it is the computers that arouse productivity at all.

The Intel study shows that computers that make users less productive

Intel conducted a survey that included 6000 people in the United Kingdom, Germany and France, which shows that “AI PCS has a potential impact on people’s lives, providing individuals nearly 240 minutes a week on routine digital tasks.” These tasks, which include Intel “Digital Business”, includes things like formulating emails, file management and copying.

However, the poll showed that those who own an AI computer spend more time in tasks compared to those who use traditional computers. Intel survey shows “A greater consumer education is needed to bridge the gap between a promise and the reality of self -computers.”

“Many artificial intelligence users spend a long time in determining the best way to communicate with artificial intelligence tools to obtain the desired answers or response. Institutions that provide AI-Ais products must provide more education in order to display the potential of” daily artificial intelligence “really”.

In short, while the poll shows that the computers enjoyed by Amnesty International have the ability to improve productivity, users actually spend more time and become less productive with these computers due to the lack of sufficient education on these features.

Artificial intelligence is expected to increase productivity

It is worth noting that one of the reasons why markets are very excited about artificial intelligence is because of their ability to increase productivity (and reduce employment costs). Last year, Goldman Sachs said that artificial intelligence could increase productivity by 1.5 % annually, which may increase the profits of the S&P 500 by 30 % or higher over the next ten years.

Intel survey does not seem encouraging on personal computers who were suffering from banking banks on personal computers to revive their flabby shipments. It is worth noting that computers sales have been lukewarm over the past two years, but IDC sees a glimmer of hope in computers that support artificial intelligence and expect them to represent 60 % of all shipments by 2027. In a note earlier this year, we see Tom Milelli, the deputy of the IDC Group for a few technology, and we expect to want to move from Aich to Nich To nich to nich to nich to nich to a neg majority. “

In another report, Gitch Oberrani, “While the noise on AI on devices may seem somewhat unjustified due to the lack of well -specified use cases for business and institutions users, these devices will bring with them a major transformation in computing by providing content generation and increasing productivity over the next few years,” said the director of research on mobile followers around the world from IDC.

However, he warned that “adopting consumers will take longer as educating users about the benefits of AI VS on the device will not be a clear task.”

Most people do not know about artificial intelligence computers

Intel scanning highlights some interesting data points. For example, 86 % of the respondents did not hear about personal computers or use one. Intel itself is on banks on these computers to revive its hanging sales, but it seems that the company along with computers makers will need to do a lot to market them because the majority do not know about it in the first place.

More than half of the respondents believe that computers designed for creative and technician professionals who are not clear. More importantly, 86 % are concerned about the safety and privacy of their data while using AI computer.

There are some concerns related to the correct privacy of artificial intelligence because many people are concerned that the use of artificial intelligence is characterized by sacrifices for a person’s privacy. Fears were well clarified when Microsoft revealed a new “call” feature for Copilot+ PCS at the Build Conference event earlier this year. The feature will recover footage of the PC time schedule, which leads to saving screenshots for everything you do on your computer, which was of course a red sign for many. After a lot of anger online, Microsoft announced that it will not be a virtual feature on the device.

Apple intelligence focuses a lot of focus on safety

Perhaps Apple has learned from this epic and said that safety will be the essence of Apple Intelligence, which will run the iPhone 16. She emphasized that intelligence will work on many LLMS models, many of which will work on the same device. According to Apple, if the cloud server is required, it will not only send limited data, and this is a very “encryption” to ensure its safety.

However, Apple iPhone 16 sales have not even been launched, so it can be said that it is partly due to the late delay of Apple Intelligence features. It may be fair to say that final users are not enthusiastic about artificial intelligence like markets, which sent stocks north on the mere mention of the “golden word” during the profit call at the height of euphoria.

The euphoria has some somewhat intelligent

The euphoria of artificial intelligence certainly calmed down, as it was evident in the profits of technology companies in the quarter of September. Investors no longer chant every male of artificial intelligence during profit calls and instead they are looking for tangible progress in losing and signs of return on health investment (investment return) on AI Capex. For example, the Meta and Microsoft platforms have decreased despite better profits than expected about the increasing Capex fears despite the proportionate impact on its profits.

In their article, Gary Smith, Professor of Economics at Bomona College, Jeffrey Fonk, retired professor and winner of the NTT DOOCOCOO Award for mobile sciences, argues that artificial intelligence is a huge bubble. They refer to the small revenues generated by artificial intelligence because many of these services, if not most of them, are free to use them. It is not surprising, regardless of NVIDIA and perhaps its main supplier Taiwan manufacturing semiconductor (TSMC), that is, from other companies that have any significant revenues to show it from artificial intelligence.

Critics of artificial intelligence are similar to this trend to the famous rush in California in the nineteenth century, making those smart enough enough to sell drivers and other mining tools such as bandits while bold miners left executed.

Then there is a major question mark about whether the current artificial intelligence tools deserve it either for workers or independents even as many have begun to use it. Most artificial intelligence tools are not currently perfect and require human intervention and we have multiple examples of AI Chatbots that give wrong answers. Even artificial intelligence detection devices that claim to help discover whether someone uses artificial intelligence to work and is widely used by universities and companies in the end to amplify the problem and it has become clear that these discoveries are not accurate as they may look with a tendency to false positives.

In a similar note, a study conducted by researchers at Warton University and the University of Pennsylvania Nearly 1,000 school mathematics students in Türkiye have shown that the use of Genai tools makes it difficult for children to learn and gain new skills – even it helps to improve their short term performance.

“We are really concerned that if humans do not learn, if they start using these cakes and depend on these tools, they will not already build these basic skills to be able to use these tools effectively in the future,” said Professor Warton Hamsa Bastani, who participated in the paper.

In general, although these days are still early in technology, Openai aims to develop artificial general intelligence (AGI), a theoretical model with a human -like intelligence that can learn and improve itself, in its current form, the current tools leave a lot of what is desirable.

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