Artificial intelligence is a system of algorithms that directs information according to human intentionality. The human brain also constitutes a similar system of algorithms called neural networks that direct information according to intentionality. This is the first similarity between the human brain and artificial intelligence. The process of handling information within the brain through neural networks is not random; it obeys the laws of dependency, interaction, and integration.

The law of dependency between energy and matter is equivalent, within the brain, to the dependency of information and the real object of information. The law of interaction between the real object and the sensory organ aims to preserve the proportionality of information in each transformation from energy to matter and from matter to energy; that is, the information of the real object is transformed into matter through the sensory organ, and after encoding within the brain, it is transformed back into energy through reasoning. The brain is continuously updated, and as a result of this updating, we are in continuous knowledge of reality.

Artificial intelligence can also be equipped with sensors to capture information from the real world and process it within the algorithm system, thus allowing it to stay updated about the real world. This can be the second similarity with the human brain. However, there is a process that artificial intelligence cannot perform and that only corresponds to the human being: the conservation of balance between the interaction of the real world and the inner world, which includes the physiological functions of the organism. From this interaction arise needs that demand from the real world, such as the need for thirst, hunger, sleep, rest, fun, creation, work, duties, need for wisdom, etc. These needs are an important factor that humans contribute to neural networks, needs that artificial intelligence does not have, which limits its role as an instrument.

In the current paradigm of the instrumentalisation of man by man, the trend emerges to replace the human being, already turned into an instrument, with a more efficient one: artificial intelligence. Why is artificial intelligence more efficient than the "instrument man"? Artificial intelligence is endowed with abundant information that the human being does not have because they do not have access to educational means. Furthermore, the education paradigm is outdated, as it is far from forming universal wisdom in students; instead, it is oriented towards specialisation, that is, instrumentalisation. Therefore, specialists do not have the necessary information to carry out procedures that involve having universal knowledge.

In a previous stage, the automatic machine replaced manual labour, generating an unemployed society. With artificial intelligence, the intellect is replaced, which affects specialised professionals. Specialised intellectuals have little possibility of being creative. Creativity implies the knowledge of laws. For the discovery of specific laws, called scientific, it is necessary to know universal laws, which are not cultivated in universities or in postgraduate studies. Consequently, we can say that we have an intellectual citizenry available to be replaced by artificial intelligence.

However, the innovation of education and teachers through the management of universal laws will place them at a higher level of activity: creativity. The outdated paradigm of current education has learning as its goal. The evaluation of education is also focused on learning. In contrast, the new education paradigm is centred on creativity. Creativity implies having wisdom, and wisdom implies having knowledge of the universal essence, principles, and universal laws, without which one cannot have a universal vision of each fact or phenomenon, since all events are interconnected. The concatenation of events is due to the concatenation of laws. A specialised intellectual can perform the procedure of their specialty efficiently, which indicates that they are prepared for efficiency, but not for creativity; therefore, they are "a species in danger of extinction."

In universities, research is practiced as a central activity; however, the procedure consists of researching what has already been investigated, seeking what is already known, and presenting a known fact from another angle. Therefore, in the presentation of the thesis or scientific article, citations from authors and bibliographic sources are required. This university education and research paradigm also needs innovation. The result of research should be the discovery of a law that serves creation. Research in the new university paradigm aims to discover the law. The discovery of the law aims to create the technique. With the technique, the instrument that the human being needs is created. In this sense, the ultimate goal of university activity in the future will be the creation of techniques. Each thesis will be the exposition of a new technique.

At this stage, universities will have to innovate their curriculum according to their new objective, which should already be updated. This innovation includes the introduction of the new Princonser method, both for professional training and for research. With the Princonser method, universal wisdom is guaranteed in all professionals, and in research, the discovery of the law and the creation of new techniques are guaranteed. We are in the era of innovation, and artificial intelligence is ideal for the era of creation in universities and global citizenship. Just as in the past the goal of education was to eliminate illiteracy, today the goal of education will be to achieve universal wisdom for global citizenship.