
Make a Living in the AI-economy. 13 effective hacks
60-80% of today’s work tasks could disappear in the coming years due to AI. The video presents 13 specific recommendations for future-proofing yourself in the AI economy of the future.

60-80% of today’s work tasks could disappear in the coming years due to AI. The video presents 13 specific recommendations for future-proofing yourself in the AI economy of the future.
To prevent the economy and society from collapsing, we will have to help people earn an income without them working in the traditional sense. But how are we going to finance this?
In this second part of a series looking at how AI and robotics will impact the world of work as well as people’s income and prosperity, Dr. Pero Mićić presents a master plan on how we can make the transformation people-friendly and massively increase the quality of life for all.
AI and intelligent humanoid robots will perform more and more human tasks. And they will do them better, faster and cheaper. Many people will work much less or not at all in normal jobs. And earn less or nothing. But how will we live then? And how will our companies survive? That is the central question of our time!
How do humanoid robots learn? Through training? Observation? Imitation? Experience? Humanoid robots will fundamentally change our working world and thus also society. It is time to prepare for this new era.

Yesterday science fiction, today reality, tomorrow revolution: Will humanoid robots now also become intelligent? All the arguments and the answer can be found in this article.

Many people make fun of what ChatGPT & Co. cannot do. Most people have difficulty imagining exponential developments. How fast will AI get better?

How intelligent will AI become in the foreseeable future? The decisive factor is not that AI still makes mistakes today. What is decisive is that there are already hardly any humans who know and can do so much in so many areas.

In more and more areas of life, the virtual world is overriding real life. This means that, in addition to data from billions of networked medical devices, archives and objects, information on individual life situations is increasingly available.
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