In this paper, we disentangle the changes that the rise of Artificial Intelligence Technologies (AITs) is inducing in the semiconductor industry. The prevailing von Neumann architecture at the core of the established “intensive” technological trajectory of chip production is currently...

Over recent decades, the on-going “digital revolution” has transformed many aspects of everyday life. Think of the increased power and shrinking size of personal computers and smartphones; the global expansion of the Internet and the new forms of social interaction that have been created; and,...

We propose a granular framework that makes use of advanced statistical methods to approximate developments in economy-wide expected corporate earnings. In particular, we evaluate the dynamic network structure of stock returns in the United States as a proxy for the transmission of shocks through...

Epstein (1995) defended the superiority of simple legal rules over complex, human-designed regulations. Has Epstein’s case for simple rules become obsolete with the arrival of artificial intelligence, and in particular machine learning (ML)? Can ML de-liver better algorithmic rules than...

The following analysis demonstrates that network efficiency is a very delicate matter. Neither the restriction to suitable core-subnets, nor intelligent enlargements guarantee efficient results in any case. For instance, the numerical example in Myerson (1977) contains a prisoners’ dilemma...

In this paper we analyze R&D collaboration networks in industries where firms are competitors in the product market. Firms' benefits from collaborations arise by sharing knowledge about a cost-reducing technology. By forming collaborations, however, firms also change their own competitive...