When a trained machine can write a scientific paper well and argue it, then very serious threats and questions arise. From agriculture to retail, transportation and driverless autonomous vehicles. Artificial intelligence it gets everywhere and turns our world upside down at breakneck speed. In an extensive report on Guardian lists potential impacts by sector. A few days ago, it should be noted, two of the largest technology companies in the world (Microsoft, Google) announced plans to improve search through artificial intelligence, starting a fierce race for dominance in this space.

Many food manufacturers are already using artificial intelligence to collect and analyze data in their efforts to improve performance And profitability. They monitor the weather, control diseases and pests, research the need for additional irrigation, or even what crops to grow and where. In addition, while four-armed robots designed for the delicate task of picking soft fruits are being tested, robots with the dexterity of a human hand, capable of picking fruits like raspberries at speed without damaging them, could be a decade away from widespread use. In the media industry, machine learning is being used to increase subscribers and ad revenue, and to make decisions about which stories to promote. So far, news organizations have been hiring six-figure data scientists to guide customers to specific products and provide employees with the tools to search and write content/reporting. Jane Barrett, global editor-in-chief of Reuters’ media strategy division, notes that artificial intelligence “will help us deliver the right content to the right person.”

PwC predicts that the largest job losses over the next 20 years will occur in the transport sector.

Energy supply groups, The Guardian reports, suggest that artificial intelligence will play a central role in future smart grids, allowing more precise alignment of supply and demand with next-generation devices, from smart meters and electric vehicles to solar collectors and heat pumps. can improve efficiency. The jobs of engineers, accountants and supply chain analysts are most at risk. In manufacturing, industry veterans know all too well how automation can sweep the entire industry. In 2019, the UK Office for National Statistics predicted that almost 2/3 of machine tool operators were at risk. Machine learning algorithms are already being used to boost data in large factories for “predictive maintenance,” replacing parts before they fail—perhaps this means cutting back on technical staff.

However, the rapid growth of genetic artificial intelligence suggests that it is not only people on factory lines that will be affected. Genetic AI is already being used to design products faster, test them virtually as a “digital twin,” and produce them quickly. Combined with innovations such as 3D printing, this can greatly reduce development costs and reduce the number of engineers in the aerospace, automotive and electronics industries. Finally, in transportation, workers have stubbornly held on to their jobs ever since the first self-driving trains were tested. But a PwC 2021 report predicts that proportionally the biggest job losses over the next 20 years will be in the transport sector.