Video Abstract
The advent of organizational Artificial Intelligence, that which can perform the activities of multiple people such as employees of a company or institution suggests an additional dimension of Extended Intelligence.
Individual people, or small groups of men, will be able to multiply their skills, roles and professionalism by creating One-Man-Corporations with very high productivity, capable of competing with that of multinational corporations, particularly in the knowledge economy, i.e., where knowledge contributes greatly to the creation of value and business results.
The extension of entrepreneurial intelligence could change the power relations among enterprises, generating new opportunities for small but enterprising individuals.
In this case, AI could favor those who know how to use it, partly due to the fact that it is expected to have increasingly competitive costs, a new commodity, a raw material that can be purchased from multiple suppliers at low cost.
An analysis of the global Artificial Intelligence scenario shows that Europe has accrued a significant lag in the developments of basic technologies, which is also difficult to bridge due to the investment gap with the US and China. However, Europe’s role cannot be limited to acting as a regulatory arbiter between the two American and Asian competitors. An industrial strategy on Artificial Intelligence is emerging at this historical stage for Europe, based on several assumptions: in a short time AI technologies will be commodities widely available also in opensource; the financial speculative bubble will soon burst exposing the limits of the current AI development and business model; and several socioeconomic actors – public and private – will go in search of more controllable, secure, transparent solutions, alternatives to the current approaches that pose risks on the legal, psychological, educational, and employment fronts.
The lag of European states and companies, can thus turn into an advantage if they can occupy a position “Above AI,” creating applications that guarantee effective results while maintaining firm human control of Artificial Intelligence processes.
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