The advent of artificial intelligence (AI) technologies has significantly\nchanged many domains, including applied statistics. This review and vision\npaper explores the evolving role of applied statistics in the AI era, drawing\nfrom our experiences in engineering statistics. We begin by outlining the\nfundamental concepts and historical developments in applied statistics and\ntracing the rise of AI technologies. Subsequently, we review traditional areas\nof applied statistics, using examples from engineering statistics to illustrate\nkey points. We then explore emerging areas in applied statistics, driven by\nrecent technological advancements, highlighting examples from our recent\nprojects. The paper discusses the symbiotic relationship between AI and applied\nstatistics, focusing on how statistical principles can be employed to study the\nproperties of AI models and enhance AI systems. We also examine how AI can\nadvance applied statistics in terms of modeling and analysis. In conclusion, we\nreflect on the future role of statisticians. Our paper aims to shed light on\nthe transformative impact of AI on applied statistics and inspire further\nexploration in this dynamic field.\n