Artificial Intelligence (AI) technologies have been recognized as having the potential to change the workings of not only companies, but also whole societies. The expectations are high. Yet, they run far beyond the current state of AI utilization by companies. The first objective of this demo is to explore the longitudinal development and the current status of AI adoption by S&P500 companies from the technology diffusion perspective. The second objective is to compare AI diffusion between sectors, thus replicate earlier tests of sector influence on technology adoption. Our novel approach leverages extensive data set of news publications, transcripts of earnings calls and other management presentations. The results not only shed light on the current status of AI adoption by large US companies, but also indicate that the technology is not diffusing evenly between sectors. Highly digitized sectors exhibit significantly faster AI adoption than traditional capital-intensive sectors (Materials, Real Estate and Utilities).
Tomasz MUCHA, Department of Industrial Engineering and Management, Aalto University, Espoo, Finland
Timo SEPPÄLÄ, the Research Institute of the Finnish Economy, ETLA, Helsinki, Finland; and Department of Industrial Engineering and Management, Aalto University, Espoo, Finland
Rasmus NIEMI, Department of Industrial Engineering and Management, Aalto University, Espoo, Finland
Mucha, Seppälä & Niemi, (26.11.2019), Catching the AI Wave – Diffusion of Artificial Intelligence Technologies through S&P500 Companies, AI Day 2019 – FCAI, Poster session, https://fcai.fi/ai-day-2019-program