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The Ascending AI Era: Rerouting the Bubble Discourse
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Author(s): Rajnandini Yadav (Christ University, India)and Krishna Prasath S. (Christ University, India)
Copyright: 2025
Pages: 22
Source title:
Data Analytics and AI for Quantitative Risk Assessment and Financial Computation
Source Author(s)/Editor(s): Mohammad Gouse Galety (Samarkand International University of Technology, Uzbekistan), Jimbo Henri Claver (Samarkand Interntional University of Technology, Uzbekistan), A. V. Sriharsha (Mohan Babu University, India), Narasimha Rao Vajjhala (University of New York Tirana, Tirana, Albania)and Arul Kumar Natarajan (Samarkand International University of Technology, Uzbekistan)
DOI: 10.4018/979-8-3693-6215-0.ch016
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Abstract
Newness is often subjected to speculation if not directed in the right direction. A phenomenon was observed during the 2000 Dotcom Bubble. The advent of the Internet opened possibilities but invited confusion along with. Stocks with ‘www' and ‘.com' started inflating the markets while investors and venture capitalists poured huge capital, causing overvaluation. All is done anticipating potential gains without estimating earnings and profitability metrics. A similar frenzy took over the present with the rise of Artificial Intelligence. Statements of comparison started brewing between AI and Dotcom. This chapter explores parameters that differentiate them by explaining the concepts of bubble formation, Equity Fund Flow, Leverage indicators, and Earnings metrics. It further helps understand the Theory of Diffusion of Innovation and The Technology Acceptance Model that play a pivotal role in shaping the AI discourse from its stage of nascency to the future, thus making it an asset rather than a bubble.
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