AI, ageing and brain-work productivity: Technological change in professional Japanese chess
Eiji YAMAMURA, Ryohei HAYASHI, Claudia Noemi González Brambila, Claudia Noemi González Brambila, Claudia Noemi González Brambila

TL;DR
This paper studies how AI impacts the performance and aging of professional Shogi players in Japan.
Contribution
It shows AI reduces the role of innate ability and accelerates performance decline with age among top players.
Findings
AI reduces the impact of innate ability, narrowing performance gaps among same-age players.
Winning rates decline consistently with age across all periods studied.
AI accelerates aging-related performance decline, increasing age-based performance gaps.
Abstract
Using Japanese professional chess (Shogi) players’ records in the setting where various external factors are controlled in deterministic and finite games, this paper examines how and the extent to which the emergence of technological changes influences the ageing and innate ability of players’ winning probability. We gathered games of professional Shogi players from 1968 to 2019, which we divided into three periods: 1968–1989, 1990–2012 (the diffusion of as information and communications technology (ICT)) and 2013–2019 (artificial intelligence (AI)). We found (1) diffusion of AI reduces the impact of innate ability in players performance. Consequently, the performance gap among same-age players has narrowed; (2) in all the periods, players’ winning rates declined consistently from 20 years and as they get older; (3) AI accelerated the ageing decline of the probability of winning, which…
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Taxonomy
TopicsSports Analytics and Performance · Labor market dynamics and wage inequality
