One of the great fears that humanity has faced in recent times has been the impact of technology on the labor market. Thus, the Industrial Revolution arose from the known Luddite movements, whose members primarily protested the mechanization of the sector in England.
Over time, this type of movement retained a certain force, but evidence showed that, despite the initial indolence, the mechanization of labor increased productivity and the release of talent to work with a greater addition of value.
However, as we discussed in the previous article in Libre Mercado, the revolutions of today’s intelligence are much more drastic, extensive and rapid changes in the workplace than humanity has experienced. And, as we have also pointed out, these same changes could provide the perfect excuse for politicians to impose a universal basic income.
Well, the new information provided by Open AI for the new GPT-4 model of artificial intelligence — which is already integrated in the latest version of Chat GPT — will clearly clarify which professions will be most affected by this popular tool.
The recently released GPT-4 system, the successor to GPT-3 or GPT-2, can take a giant step forward in computing power and provide answers up to 25,000 words, can read documents or images for analysis. GPT-4 is now available to paid users of GPT Chat, as well as other tools such as Microsoft’s Bing Chat browser. In fact, the company itself, founded by Bill Porta, will also integrate Open AI technology in its recently announced “co-pilot”, which will help users in all Office tools, such as PowerPoint, Excel, Word or Outlook, which is expected to increase greatly. ready for the fruits of the office. This will undermine the spillover of jobs in the world of education, one of the sectors where, as we discussed in another recent article, it is already affected by the impact of artificial intelligence.
The professions are especially emotional
In this context, Open AI has released a paper in which it retains some of the technical details behind its new GPT-4 model in relation to its potential impact on the labor market. A document of 35 pages, and from AI Open, Open Research and the University of Pennsylvania, concludes that 8 out of 10 American workers will see at least 10% of their work affected by GPT models, as soon as they integrate them. in his jobs. In addition, the report indicates that 19% of future workers will suffer an impact from AI at least half of their work.
On the other hand, the document warns that the use of artificial intelligence tools such as Chat GPT will have an impact on all salary ranges, although the positions that earn the most will be the most affected, contrary to what some would expect. In this sense, the fittest and most salaried workers will not be spared from the impact of artificial intelligence, quite the opposite. Those manual professions or those that require attention to the public, generally lower paid, will not receive a large impact from the GPT models, while some basic sciences or artisans will receive a moderately high impact.
As can be seen in the table below, among the groups of workers most affected by AI with 100% exposure are mathematicians, financial analysts, journalists, web designers, managers or tax auditors.
Other professions most affected by GPT models will be simultaneous subtitlers, translators and interpreters, train engineers, testers or secretaries dedicated to managing correspondence. A little less revealing, less than 70%, will have animal scientists, poets, producers, writers or public relations specialists.
The concept of “exposure”, as explained in the document, means a reduction of the time required to complete the tasks of each profession, but does not necessarily suggest full automation. In this way, the detection of AI can be seen as double-faced. On the other hand, those who know how to integrate artificial intelligence into their work will be significantly more productive, fast and efficient. On the other hand, the same production could bring about a reduction in company functions which, if they occur on a large scale and without sufficient time accommodation, would lead to a reduction in labor rates or in the hours worked.