Industry Perspective on AI's Trajectory - The artificial intelligence field, originating in 1955, aims to simulate mental faculties like perception, reasoning, and memory on computers, influencing various technologies [3][4] - The web, including hypertext developed in 1965, exemplifies AI through memory simulation and connection between text parts, impacting web economics via profiling [6][7][8] - Autonomous vehicles demonstrate AI's presence, but the challenge lies in predicting AI's future advancements beyond current capabilities [9][10] - Retrospective analysis of technologies, such as neural networks initially developed in 1943, reveals unpredictable development patterns, with periods of enthusiasm followed by disillusionment [17][18] Time and Evolution of AI - The development of AI does not follow a linear progression but rather a cyclical pattern, with concepts resurfacing and disappearing over time, resembling an "helical" progression [24][25][26] - The emergence and subsequent decline in popularity of the metaverse, preceded by Second Life over 20 years ago, illustrates the cyclical nature of technological enthusiasm and disappointment [26][27][28] Ethical and Societal Implications - AI's transformative impact on society and human relationships necessitates ethical considerations to mitigate potential dehumanization risks [36] - European Union's AI Act aims to regulate AI based on risk assessment, but over-regulation could hinder beneficial applications, similar to restricting knives due to potential harm [37][38] - The unpredictable nature of AI development, influenced by societal adoption, makes it challenging to anticipate future impacts and necessitates an ethical approach that embraces the unexpected [40][41][42] Future Applications and Open Questions - AI is expected to bring transformations, including automated translation and autonomous vehicles, alongside potential societal concerns [30][31] - AI's ability to predict protein folding, exemplified by programs like AlphaFold, holds promise for designing new molecules and medicines [35]