Template-Type: ReDIF-Paper 1.0
Author-Name: Giacomo Damioli
Author-X-Name-First: Giacomo
Author-X-Name-Last: Damioli
Author-Email: gdamioli@unistra.fr
Author-Workplace-Name: BETA, Université de Strasbourg, Strasbourg, France
Author-Name: Vincent Van Roy
Author-X-Name-First: Vincent
Author-X-Name-Last: Van Roy
Author-Email: vincent.vanroy@kuleuven.be
Author-Workplace-Name: Faculty of Business and Economics, KU Leuven, Belgium - Idea Consult, Belgium
Author-Name: Daniel Vertesy
Author-X-Name-First: Daniel
Author-X-Name-Last: Vertesy
Author-Email: daniel.vertesy@itu.int
Author-Workplace-Name: International Telecommunication Union, Geneva, Switzerland –  UNU-MERIT, Maastricht, The Netherlands
Author-Name: Marco Vivarelli
Author-X-Name-First: Marco
Author-X-Name-Last: Vivarelli
Author-Email: marco.vivarelli@unicatt.it
Author-Workplace-Name: Dipartimento di Politica Economica, DISCE, Università Cattolica del Sacro Cuore, Milano, Italy – UNU-MERIT, Maastricht, The Netherlands – IZA, Bonn, Germany
Title: AI as a new emerging technological paradigm: evidence from global patenting
Abstract: Artificial intelligence (AI) is emerging as a transformative innovation with the potential to drive significant economic growth and productivity gains. This study examines whether AI is initiating a technological revolution, signifying a new technological paradigm, using the perspective of evolutionary neo-Schumpeterian economics. Using a global dataset combining information on AI patenting activities and their applicants between 2000 and 2016, our analysis reveals that AI patenting has accelerated and substantially evolved in terms of its pervasiveness, with AI innovators shifting from the ICT core industries to non-ICT service industries over the investigated period. Moreover, there has been a decrease in concentration of innovation activities and a reshuffling in the innovative hierarchies, with innovative entries and young and smaller applicants driving this change. Finally, we find that AI technologies play a role in generating and accelerating further innovations (so revealing to be “enabling technologies”, a distinctive feature of GPTs). All these features have characterised the emergence of major technological paradigms in the past and suggest that AI technologies may indeed generate a paradigmatic shift.
Length: 34
Creation-Date: 2024-09
File-URL: http://dipartimenti.unicatt.it/politica-economica-DIPE0038.pdf
File-Format: Application/pdf
File-Function: First version, 2024
Number: dipe0038
Classification-JEL: O31; O33
Keywords: Artificial Intelligence, Technological Paradigm, Structural Change, Patents 
Handle: RePEc:ctc:serie5:dipe0038