Raw LLM Responses

I have spent over 20 years working in call centers. A call center job has always been on the front lines of surveillance. The amount seconds you spend on break, the number of seconds spent on a specific call, the number of seconds spent on the average call, what exact second you went to your break, what exact second you came back from break, the number of phone calls you have taken, the number of seconds in between calls—everything you do during your working day—is all tracked and can easily be printed up on moment’s notice in an appropriate format for review and evaluation. The actual phone calls have always been monitored, typically live by a quality assurance agent, to make sure you are conforming to company standards and requirements. As data storage has become less expensive, calls went from being evaluated live (which could usually be determined by a routine schedule or who was in the office or through friendly relationships giving a heads up to be in your best behavior) to being recorded and picked completely randomly for evaluation. Within the past couple of years, calls are not being reviewed by individuals anymore but evaluated by artificial intelligence that can summarize and generate a summary report at the touch of a button. Before long, once the required computing power becomes fully available, every single call will be evaluated in real time by AI and any divination in company procedure will be immediately flagged and notification sent to the appropriate member of management to address your failure to use a specific phrase or any number of other human inefficiencies and file it away in an indelible record of inferior performance. This is a multi-factor cautionary example. First, with computers doing all the work, there is no need for a quality assurance department. Second, AI is already taking a workload off of management personnel that no longer need to request and review a report—they can be alerted in real time to the problem and needed action via email or instant message or other alert. Maybe the company won’t need 10 front line supervisors to deal with 100 employees and choose to shrink that position down to 5. Eventually, your supervisor could be replaced by an email or alert once the supervisors’ jobs are standardized. We already know our phones and other technological devices track what we do from our location, our travel habits, to our purchasing habits, and even what content we consume. It’s not a stretch to think we can’t be tracked at work based on our phone location, every keystroke made on our work computer, every word picked up by microphones throughout the work environment, through facial recognition and cameras, and so on. Everyone in the work force will eventually be tracked for every minute of their work day, and one day you may find yourself being let go because your work performance has decreased by 6.78% over the past two weeks or the AI overheard you say something negative about the company in the break room, or you were detected in a job search activity on your phone. Before AI takes everyone’s jobs, it will make work a living nightmare. And if you are in the c-suite and think you can’t be replaced, AI can take over your decision making job early on without emotional attachments using pure data analytics from macro to micro to projected market conditions much easier than taking over a front line employee’s responsibilities that have already been piled on to the maximum extent. Hopefully, some companies will thrive by using AI as a helper rather than as a tool of micromanaging oppression.