Abstract:
Generative artificial intelligence (AI) is one of the most discussed and relevant topics today. Companies integrating generative AI have the potential to develop innovative products and services, draw in a larger customer base, and boost stock valuation. This research aims to investigate the impact of AI implementation announcements on stock prices, considering both short-term and long-term perspectives. Utilizing a dataset of 179 announcements, this study employs regression analysis and event study methodology to analyze the stock price reaction dynamics of major technology firms, including Microsoft, Google, Amazon and Meta, to generative AI-related announcements. Contrary to the prevailing optimistic projections, our initial findings indicate that announcements of generative AI integration do not lead to immediate increases in stock prices. This suggests that the market's response is mixed, with some investors possibly undervaluing or remaining skeptical about the impact of AI. Furthermore, our analysis shows that in the long run, AI-related announcements do not significantly influence stock price trends. In contrast, quarterly earnings reports have a direct, though modest, correlation with changes in stock prices. Findings highlight the complexity of market reactions to generative AI announcements and emphasize the important role of investor perceptions and market sentiment in shaping how stock prices respond to technological innovations.
