Post by account_disabled on Mar 9, 2024 22:41:48 GMT -5
Luis worked for a digital newspaper. He produced news on topics of general interest, ranging from gastronomy and fashion, to travel and leisure. He didn't make a lot of money, but he made a living. Now his work is done by machines. It is true that the result does not have the quality of his, but the newspaper, which he lives on programmatic advertising, which is equivalent to the number of clicks he receives from his readers, is already fine. The diversity and, above all, the number of articles that the software produces is enormous. Susana had been living relatively well for years from her job as a translator, dubbing and giving private English classes. She now survives looking for someone to give classes to, increasingly cheaper, by the way. Her translation work is no longer necessary, or at least not as before. The machine translators are of incredible quality and with some human supervision the end result is impeccable. As for dubbing, more of the same. Luis and Susana are something very common in a world in which work automation is growing steadily. In fact, workers in the manufacturing industry see how welding, painting, assembly or packaging jobs are carried out by robots. amazon is a caso paradigmatic, as the large fast food chains are also beginning to be.
If we look at the speed with which they prepare their menus, we would have to call it ultra-fast food. The same happens with self-payment or inventory management systems; with employees dedicated to data entry and analysis; with telemarketers and information and customer service services; also with banking procedures, where ATMs have been reduced to an anecdote when we talk about automation processes in the financial sector. It is also the case in law firms, where legal investigations and document analysis are increasingly automated. The impact is still small among drivers of vehicles that transport people and goods, delivery drivers or drivers of agricultural vehicles, but it will not be USA Phone Number many years before autonomous vehicles and drones put millions of people out of work, especially in the most developed countries. Of course, many tasks still require a human touch, such as creative problem solving, emotional intelligence, and complex decision making, which are still difficult for even generative AI to replicate.
Besides, many jobs will be created that will continue to be filled by people, at least for a while. In fact, Many jobs will be created around automation, but these will further accelerate the impact of technological unemployment. Unfortunately, whoever your "collateral damage" is will hardly cover those new jobs. I do not discuss the advantages of automating work, it would be missing more. Cost savings, increased efficiency and effectiveness, the permanent availability of automation, carrying out tasks that are especially unpleasant for us, or even those that involve significant risks for people, are some obvious examples of the benefits that It can lead to automation. But we must not ignore the disadvantages, which go beyond the obvious loss of human jobs. Redefining the roles of workers is not easy, it takes time and also consumes resources. Digital systems present obvious security risks, since they are vulnerable to cyberattacks, not to mention the difficulties in achieving reliable systems in the broad sense of the word (secure, robust, that comply with the law and that act according to ethical criteria, that respect privacy and that do not operate with biases, among others.
If we look at the speed with which they prepare their menus, we would have to call it ultra-fast food. The same happens with self-payment or inventory management systems; with employees dedicated to data entry and analysis; with telemarketers and information and customer service services; also with banking procedures, where ATMs have been reduced to an anecdote when we talk about automation processes in the financial sector. It is also the case in law firms, where legal investigations and document analysis are increasingly automated. The impact is still small among drivers of vehicles that transport people and goods, delivery drivers or drivers of agricultural vehicles, but it will not be USA Phone Number many years before autonomous vehicles and drones put millions of people out of work, especially in the most developed countries. Of course, many tasks still require a human touch, such as creative problem solving, emotional intelligence, and complex decision making, which are still difficult for even generative AI to replicate.
Besides, many jobs will be created that will continue to be filled by people, at least for a while. In fact, Many jobs will be created around automation, but these will further accelerate the impact of technological unemployment. Unfortunately, whoever your "collateral damage" is will hardly cover those new jobs. I do not discuss the advantages of automating work, it would be missing more. Cost savings, increased efficiency and effectiveness, the permanent availability of automation, carrying out tasks that are especially unpleasant for us, or even those that involve significant risks for people, are some obvious examples of the benefits that It can lead to automation. But we must not ignore the disadvantages, which go beyond the obvious loss of human jobs. Redefining the roles of workers is not easy, it takes time and also consumes resources. Digital systems present obvious security risks, since they are vulnerable to cyberattacks, not to mention the difficulties in achieving reliable systems in the broad sense of the word (secure, robust, that comply with the law and that act according to ethical criteria, that respect privacy and that do not operate with biases, among others.