Anxiety in the workplace is a major human resource problem. Adverse outcomes in organizations include employee wellbeing, healthcare, and productivity costs. The World Health Organization reports that over 300 million people suffer disorders directly associated with anxiety, costing the global economy $1 trillion per year in lost productivity: $30 billion in the United States, $51 billion in Canada, and £26 billion in the United Kingdom. The most substantial limitation in the measure of anxiety is the overlap of anxiety and depression symptoms. The structure and psychometric properties of the Beck Anxiety Inventory (BAI), renowned for its ability to distinguish between depression and anxiety symptoms, are tested with a sample of 416 working participants from various industries in the U.S. This study is the first time the BAI will be analyzed using employee respondents. Results of confirmatory factor analysis indicated that the BAI four-factor model (neurophysiological, subjective, panic, and autonomic) provided the best fit. Individual scale analyses further show that most of the participants self-reported mild to moderate anxiety levels. Mild to moderate anxiety levels contribute to diminished functioning, distress, and higher risks of diagnosable disorders. Suggestions regarding coping mechanisms, practical implications, and future research are discussed.