These are the jobs in which artificial intelligence will have the most impact, explained in a graph

These are the jobs in which artificial intelligence will have the most impact, explained in a graph
These are the jobs in which artificial intelligence will have the most impact, explained in a graph
  • Financial and IT sectors will have the greatest impact with the integration of AI

  • The manufacturing and supply chain industries, those that will register the least impact

A few days ago, OpenAI and Google showed us the new conversational and element recognition capabilities in real time. These improvements leave no doubt about the potential of this technology and the impact it will have on all aspects of lifeincluding the labor market.

The previous generation of ChatGPT already had a big impact in some jobs, where it has been used to automate processes such as generating reports, legal documents, contracts, data analysis or programming assistance.

AI: an ally or substitute for humans

One of the biggest concerns that AI has raised is whether it will replace humans in the near future, causing them to lose their jobs. As a result of this concern, different studies have emerged that have analyzed the impact of AI in different industrial sectors.

One of these studies has been ‘Jobs of Tomorrow: Great Models of Language and Jobs’, prepared by the organization World Economic Forum in collaboration with the consulting firm Accenture. To make the data in this report more visual and easier to interpret, the Visualcapitalist.com portal has created a very explanatory graph.

Jobs in which AI will have the most impact Source: www.visualcapitalist.com

The graph shows which industry sectors will bear the greatest impact of artificial intelligence on their processes. To establish the impact, the study of World Economic Forum evaluated more than 19,000 tasks in 867 professions in different industrial sectors.

This helped them determine the degree of impact of the LLM models (Large language models) on the performance of that task. If it was considered that AI could intervene in this task in some way, the need for human participation in that performance. For example, an AI may be able to draft a commercial contract between two parties, but it will be the parties who must negotiate the conditions and transfer them to the AI ​​model to include them in the contract.

Based on the degree of automation of these tasks, the study determined the percentage of impact, designating those fully automated tasks as “Large impact”. Those tasks in which automation still requires human action have been classified as “Small impact”. The designation “No impact” refers to those in which AI would barely be used as support or it would not be possible to apply this automation due to the high manual component of the task.

The sectors most sensitive to AI

In this context, the segments with the greatest impact of AI would be the manufacturing industries. information technology and financewith an impact of 73% and 70% of highly automated tasks, respectively.

Only 26% of the tasks performed in the IT sector would not have a great impact with the arrival of AI. In the financial sector, the percentage of tasks with a small impact of AI drops to 21%. Only 1% of tasks in the IT sector would be free from the influence of AI. We assume that someone will have to make the coffee in the future and it will probably be a human. At this point, the financial sector makes a difference, standing out with 9% of tasks that would not suffer the impact of AI.

By analyzing the data from the study we can determine that an example of a profession that is highly susceptible to automation through AI models is that of credit analyst and verifiers. These jobs show an automation percentage of 88% of their tasks.

On the other hand, forensic science technicians register 58% automation of their tasks by AI, but they compensate with 37% of their tasks in which AI has no impact, so human presence continues to be essential , although its productivity will be multiplied.

Humans + AI: the magic formula for productivity

Something similar is what happens in sectors such as sales or operations, where, although they show values ​​of 67% and 65% respectively, they compensate with 17% of the tasks that, at least for the moment, artificial intelligence cannot do. .

This implies that, in these sectors, in the coming years there will be a considerable increase in productivity because employees They will stop taking care of the most routine tasksand will focus only on the ones that an AI can’t do.

A more complex picture is drawn for the human resources, marketing and legal advisory sectors. In them, AI maintains a great impact in terms of complete automation (between 57% and 46%) and will perform many support tasks by lightening analysis processes (between 41% and 50% of the tasks).

However, they maintain a small percentage between 2% and 4% in which human presence is essential. This would imply a reduction in the workforce in these segments, but given their strategic importance, many jobs will still be maintained.

The sector that will suffer the least impact from AI will be the supply chain and manufacturing sector. The study shows that, although it is true that 43% of processes can be automated, there are still 39% of tasks that an AI will not be able to assume.

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Image | Visualcapitalist.com

 
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