Pricing algorithms: next enforcement challenge for Competition Authorities?

The potential anticompetitive impact of the automation of decision-making has become a topic of great interest in recent times. Self-learning pricing algorithms are focusing the agenda from the European competition authorities due to two potential harmful effects on business conduct: price discrimination and collusive practices. It is precisely the second effect that is generating greater uncertainty and debate. One of the key questions is whether it is possible to design a fully-autonomous software capable of colluding without any explicit human intervention and contact between competitors.