When we refer to artificial intelligence, we talk about those computer systems capable of detecting their environment, thinking, learning and making decisions based on the inputs they receive and their objectives. These fall into four main types: assisted intelligence, augmented intelligence, automated intelligence, and autonomous intelligence. Through artificial intelligence, machines can learn experiences, adapt and behave similar to those that a human being would, through unlimited processing capacity and the growth of big data to feed systems.

Historically, there have been advances in automation at work, especially through machines. Since the first Industrial Revolution, workers have expressed their discomfort with machines, supposedly responsible for “taking” their jobs, and even rebelled to the point of destroying them. Factories and machines did take artisans out of business; but at the same time, new work opportunities were generated that complemented the activities of the new machines. In this way, the labor market has adapted to the technological changes presented by the second industrial revolution, in which electricity was introduced, and the third, in which the use of computers and the Internet became widespread.

Nowadays, technological advances are happening with great speed, which has generated the term “technological tsunami”, which includes the appearance of new technologies that make up what we call the Fourth Industrial Revolution. This phenomenon, combined with population ageing and other trends, will mark the future of work, a future in constant transformation that faces great risks, but at the same time opportunities. Let's understand a little more about the implications of artificial intelligence in 21st century work environments.

Artificial intelligence has wide possibilities for optimizing production and business processes. It has applications to improve productivity, security and increase the speed of workflows.