https://fupubco.com/index.php/fdtai/issue/feed 2025-03-12T15:13:38+00:00 Edirorial fcsai@fupubco.com Open Journal Systems <div style="text-align: justify;">Future Digital Technologies and Artificial Intelligence (FDTAI) is a peer-reviewed, open-access journal dedicated to advancing research across a broad spectrum of computing, data science, artificial intelligence (AI), and engineering disciplines. The journal serves as a platform for pioneering studies and interdisciplinary approaches that address the evolving challenges and opportunities in digital innovation and intelligent systems.</div> <div style="text-align: justify;">FDTAI focuses on cutting-edge topics such as Artificial Intelligence &amp; Machine Learning, Data Science &amp; Big Data Analytics, Computer Science &amp; Engineering, Cybersecurity &amp; Privacy, Digital Technologies &amp; Intelligent Systems, Computational Science &amp; Engineering, and Blockchain &amp; Decentralized Systems. <br />The <a href="https://fupubco.com/fdtai/rp" target="_blank" rel="noopener">peer-reviewed</a> and <a href="https://fupubco.com/fdtai/oa" target="_blank" rel="noopener">open-access</a> FDTAI Journal is steered by a distinguished editorial board and supported by an international reviewer team, including outstanding professors and researchers from prominent institutes and universities worldwide.<br />Articles are published in <strong>English only</strong>.<br />All manuscripts sent for publication are checked to compare their similarity with other works already published. For this purpose, we use <a href="https://www.turnitin.com/" target="_blank" rel="noopener">Turnitin</a>.<br />Articles are distributed according to the terms of the <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noopener">Creative Common CC BY 4.0 License</a>.</div> https://fupubco.com/index.php/fdtai/article/view/276 2025-03-12T14:57:01+00:00 Hamed Taherdoost hamed.taherdoost@gmail.com

<p>Technological advancements often undergo a hype cycle that initial enthusiasm and heavy investment lead to inflated expectations, followed by eventual market corrections. This article examines historical cases of technology hype and decay, including the dot-com bubble, Google Glass, and 3D televisions, drawing parallels to the current surge in artificial intelligence (AI). With generative AI experiencing unprecedented investment and integration across industries, concerns arise regarding its long-term viability and realistic impact. Through the AI Butterfly Theory, this study highlights the stages of AI evolution, emphasizing the need for balanced expectations and strategic investment to avoid repeating past technology booms and busts.</p>

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