The impact of the rapid spread of Ai in the world of work has the potential to profoundly destabilize society. It is on the employment front where the most perceptible and relevant problems are likely to arise. This is the position of Mario Draghi’s report on European competitiveness: “The impact of AI in Europe has…
AIconomics: Artificial intelligence in economic sectors
Many analysts and entrepreneurs, including key players such as Elon Musk or Bill Gates, believe in the creation of a universal basic income is necessary. Except that they do not convincingly explain how wealth should be redistributed, and how taxation of robots and companies based on AI automatisms should take place. The labor crisis poses…
The OECD report “The Future of Education and Skills: Education 2030” states: “There is a growing demand on schools to prepare students for the most rapid economic and social changes, for jobs that have not yet been created, for technologies that have not yet been invented, and for solving social problems that did not exist…
As is stated in the Draghi report, “the key factor in the widening productivity gap between the EU and the U.S. has been digital technology, and currently Europe looks set to fall further behind.” The European Commission, in order to close this gap, has financed the construction of server farms in various countries, which can…
Following his election, Pope Leo XIV linked his name to the social challenge we are facing of Artificial Intelligence. There are several reasons for this, but the main one traces back to the fact that Pope Leo XIII, with the historic Encyclical Rerum Novarum, addressed the social problems that arose in the context of the…
Strategic Foresight, or strategic forecasting, is a discipline aimed at guiding choices and actions based on the prediction of various possible future scenarios. Predictive artificial intelligence can support humans in making a strategic prediction: it can be used for this purpose in businesses and professions to study future megatrends, such as sustainability, energy transition, digital…
In business, it makes more sense to speak in the plural of specialized “Artificial Intelligences” rather than a single AI, although for most users their first experience was with the popular form of generalist AI, thanks to the enourmous success of chatGPT. This is precisely why it is useful on a cultural and educational level…
Artificial intelligence can also be divided into different types based on how it itself learns and adapts to problems: 1. Symbolic AI (Rule-based) 2. Machine Learning (Learning from Data) 3. Deep Learning (Complex Neural Networks) 4. Generative AI (LLM and Content Creation) Each category of AI has its own strengths and weaknesses:
The impact of AI on various economic sectors is not easy to predict, due to the speed with which technology is evolving and political and social reactions. We propose a reasoned summary of the impact of AI in different economic and professional sectors, at present and as envisioned for the near future, without claiming to…
The impact of AI in the software development industry can already be felt. Technological progress makes it difficult to predict the evolution of the professions involved in this field, even in the short term: roles such as the prompt engineer, which were considered promising, are already in decline because of AI’s ability to generate prompts…
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