Recently, I was asked the question: "Why did you decide to learn Data Science?" The first things that came to mind were events like teaching myself Python during the downtime of my old security job, writing Python scripts to input and display company traveler data on a flight-map, or just how much fun I had making reports on which doors were used most frequently at my work building. However, the more I thought about it, the more I realized that these were contributing factors to my decision to study Data Science, not the primary reason. The primary reason comes from a story that has stuck with me since I first heard it. In 2007 Japanese tech company Brain Co. Ltd. had seen moderate success selling software to big companies.

Survey participants in a wide variety of industries were asked to select the three jobs most likely to be replaced by AI from among the following options: Accountant/Tax Preparer, Data Entry, Food Service, Insurance Underwriters, Manufacturing, Paralegal, Pharmacist, Retail/Checkout Clerk, Telemarketer, Transportation/Driver, and Other. The Genesys findings reveal that US employees working in Education/Training and as Doctor/Nurse/Caregivers are the least afraid that AI/bots will take their jobs within the next 10 years. Human Resources employees, who should have the pulse on employment trends, identified Data Entry and Retail/Checkout jobs as the most likely to be replaced by AI, and equally at risk. Employees working in Customer Service tend toward pessimism, selecting the jobs of Retail/Checkout Clerk and Telemarketer as the most likely to suffer from AI. Surprisingly, Transportation-related jobs, such as drivers, are considered by only 16% of U.S. survey respondents as among the most likely functions to be replaced by AI. This response appears to indicate that participants are not paying close attention to the predicted coming revolution in autonomous vehicles and trucking fleets.