Technologies will mutate employment in the fifth industrial revolution

tecnologia

Artificial intelligence, machine learning, cybersecurity or blockchain are some of the main technologies that are transforming jobs and that will continue to impact the jobs of the future at a time when the fifth industrial revolution is already coming. But how are they going to impact? What are the jobs going to be like? How can you succeed in the digital age?

Today we are talking about a fourth industrial revolution or Industry 4.0, but already a fifth industrial revolution is beginning, which experts call digital sustainability or automated intelligence, within which a technological singularity will be reached and that will be developed in three phases: computers, in a first phase from 2025 to 2030 , they will reach a level of computing that will resemble the functions of the human brain, the Artificial Intelligence applied to computers will begin to improve itself and, in the third phase, which will be by 2040, computers will be fully able to improve themselves without human intervention.

Algorithms, today, only develop 22% of our work on average, but by 2040 they are expected to develop 80%, leaving only 20% for the proper human tasks. A situation for which the education system is not prepared because it is designed precisely for the second or third industrial revolution. One reason why it is important to “change the way children are educated and, we, as professionals, have to start cultivating skills such as creativity or cognitive flexibility, because it is the most human thing”, in order to be prepared to perform the occupations that will come, explained Marta Mouliaá, labor counselor and expert in The Development of People”, explained , during the talk The Employment of the Future-How to Succeed in the Digital Age, which he taught in Zaragoza Activa.

The main technologies

Among these technologies is Artificial Intelligence, machine learning and deep learning. In this context, data ethics workstations are incorporated, because “algorithms themselves do not discriminate, unless the programmer consciously discriminates. The problem is big data and where they drink all the data and the reflection of society, of the discrimination that is occurring.” It is a profession in which, usually, professionals in Psychology, Sociology or Anthropology are employed with knowledge of big data.

Precisely, in the ICT sector, Big Data has a significant impact on the job market with jobs such as the analyst and data scientist, data engineer or data designer and manager, among others, as well as cybersecurity, the area in which professions such as the ethical hacker, forensic analyst, cybersecurity consultants or front end or video game developers are being incorporated , among others.

And finally, we also need to talk about blockchain, an area where developer jobs are required, but also strategy design to incorporate this technology into business processes. They are areas in which, for example, people with a double degree in Law, Economics or in the scientific field are doing postgraduates in Big Data, blockchain…, which “open the door to incorporation in companies to study what the company is and decide the business model or how to implement that technology in the process”.

These skilled jobs require developing a range of skills and competencies such as critical thinking, curiosity, analytical ability, managing virtual teams, complex problem solving, strategic business vision, cognitive flexibility, and technical and digital knowledge, as well as having to “be in beta permanently”.

Innovation, in all sectors

Technologies will also impact the activity sectors and other jobs, including operators and comprising activities in the area of cleaning, warehouse or maintenance, among others, that will require wearables such as PDA to report or use certain applications or work in the cloud. Other professions that may be affected by the technological impact will be in the commercial area of companies, which have already started to migrate to the cloud.

The base positions require specific training such as the use of a word processor to write, spreadsheets, databases, forms and use social networks, because “the customer has to be answered”.