What are the stages of evolution

The fifth stage of evolution

What is missing, however, is a “missing link”. Namely the answer to the question of how this symbiotic or hybrid activity and work between humans and intelligent machines can and should look like, in such a way that each of the two parties does and uses what it does best.

For example, humans are very good at developing, training and managing various AI applications. This is how people make it possible for machines and systems to function as real collaborative partners.

Machines and systems, on the other hand, can help people to surpass themselves and their natural abilities, for example when it comes to collecting, calculating and outputting results in almost unbelievable amounts of information and data from billions of sources in real time. Machines and systems expand human capabilities into new dimensions. Or just to the fifth level of our working and living environment.


With WeGoFive we open up the answer to the question of how the "missing link" should be understood and designed and how traditional ideas of economy, work and company should be rethought and redone.


In order to unlock the full potential of Artificial Intelligence, companies need to fill this gap and define new roles for employees by establishing new types of working relationships with and between people and machines, by changing traditional concepts of management and by changing their own concept of Critically question and redefine work itself.


This includes many levels and tasks and, against the background of increasingly complex technologies and processes, also new skills in the organization, among employees and in management, which we call “hybrid skills” or “fusion skills”.


    • Correct and intelligent questions: Only those who ask the right questions in the technically correct way can get the answers that they need and that are useful.


    • Reinforcement by intelligent agents: Only those who can cooperate and interact with intelligent helpers will be able to significantly increase their abilities as an individual and as an organization.


    • Mutual learning: Only those who can train AI systems and at the same time learn and adapt themselves from the results of the AI ​​systems will be able to survive in competition.


    • Holistic mindset: Only those who understand human-machine collaboration holistically for their company and not just as instrumental optimization of individual processes will be able to realize the full potential.


    • Time for people: Only those who rearrange their processes so that people have time to concentrate on their specific human strengths and abilities will be able to achieve new dimensions of productivity and flexibility.


    • Responsible norms: Only those who align the new type of human-machine interaction with the needs of people, society and the company will have long-term and sustainable success.


    • Freedom of choice: Only those who take into account the uncertainties and imponderables of artificial intelligence in processes and systems (e.g. difference between correlation and causality) and reserve decision privileges for people will make the right decisions.


    • Relentless rethinking: Only those who are willing to question their understanding of work, their processes and their business models and consistently adapt them will be able to make exponential progress in all areas.