Raw LLM Responses

What people don't quite understand is that it may be destroying the middle class, but it will not stop there. So real world example, but lets keep it basic. You work for some fintech company who produces software for managing customer data, invoices, payments, etc. You company has, say, 10 developers/testers, say 10 app support staff, two finance guys, a company secretary, a managing director, and say another 10 or so sales staff. Let's say 35 bodies. AI is here. Let's replace all 10 of those devs/testers with one guy who does prompting. Now, an AI chatbot comes in, let's get rid of those 10 app support people with 1 guy who deals with real support tickets. Hurrah, you have cut that 35 bodies down to 15. The finance guys? Well, they're next. You can replace both seniors with one guy who operates a new AI enabled finance package, likely from a supplier who has made similar staffing cuts. But then, who are you selling that software to? Let's pick one of those clients, call them Ballsoft. That company sells widgets to customers. The widgets come in from China, get configured for each customer, sent out and use your company's software to manage who those customers are and where they're going. Ballsoft have 20 engineers who take in widgets, configure them and send them off to packaging to send them out to customers. The packaging room has 10 people. When they get sent out, your company's software manages how much their customers need to pay, generate the invoices, and once paid, a team of 10 finance people manage the reconciliation or chase payments, etc. Well, AI is here now. Do we need 20 engineers to configure the widgets anymore? Why can't AI do it? All you need is one guy really to plug them into an ethernet slot, AI can configure it all and send it down the line. We have already seen heavy automation of warehouses, this is not much different. The 10 guys in the mail room? Well, why not go one step further and AI enable the manufacturer in China who will