Disruptiveness of Artificial Intelligence in the Digital Transformation Era

Artificial intelligence (AI) and machine learning (ML) alike have become central to modern digital infrastructures, driving disruptive transformations in decision-making, workflows, and socio-technical systems. Beyond algorithmic performance, their impact stems from integration into complex ecosystems spanning smart infrastructures, industry, and services. While enabling autonomous, data-driven solutions, their adoption raises challenges related to transparency, risk, and governance. Addressing fragmented research, this article provides an integrated literature review that synthesizes key directions, applications, and implementation challenges, offering a systemic perspective on AI and ML as drivers of emerging disruptive technologies. With the use of a popular measurement application, called SEMrush, we managed to analyse and see the tendencies of AI usage and search-pattern to further and better understand how this phenomenon makes increasing appearance in daily lives, starting from normal usage for daily users or normal consumers, to well-established companies that feel the need to enhance themselves through modern means and sophisticated paths.