Liability likely among or perhaps biggest factor but there are other reasons to as noted. The moral hazards affecting employees , investors and other customers values.

AI can replace Yang seeking attention parroting the AI CEOs. AI CEOs are amplifying their products since they need customers to pay for their huge investments. AI will evolve and displace administrative functions in due time but not that fast. Factory automation has been slowly increasing but the capital investments are very high so need scale. Small mid size businesses still need Welders materials handling etc

AI could help identify unnecessary middlemen tasks leading to lower staffing but ERP , CPM, CRM systems will be expensive to overhaul for AI automation. The timeline is probably longer but AI broadly should lead to more automation. Skilled analysts still need to monitor and implement changes which takes time and these could be valuable roles.

Maybe there's a market problem?

Need a license to drive. Car road worthy. Roads mostly are public. Some control is acceptable to most. Maybe a rural road like farm rules allows less oversight. Tractors and such this would be overboard. But for suburban, urban etc a hybrid model where having could reduce oversight. Like ship transponders can see which vehicles use and those that do not. Insurance would lower fees for those using. Drinking and driving is still an issue and reducing worth consideration.

Electric power is a vital input constraint. The computing assets need utilization or industry will stall and debt servicing can get ugly. The big tech co s have cash cows in their other mainstream lines to help cover but others in the chain do not and will get squeezed out in restructurings.

Tell me you know nothing about the UK without actually saying it. Hilarious.

Should change name to whateverAI or something other than OpenAI. Very misleading. Like selling plastic food mockups as yummy edibles. Perhaps for some special bacteria but mostly no.

Previous discussions LEO debris minimized as self de orbit in due time so would be short term though still extremely expensive Kessler scenario. Do not recall any specific time frames estimates. Could be few years of course steadily clearing as debris falls down.

The remaining employees are expected to work harder. Fear factor might work for some but others will cooperate less if worried their colleagues will get credit over them. Seems like a spin on Jack Welch methods.

AI content will attract some attention and detract others. FB lost its luster while ago but still has a massive lead in users. It is easy to check updates from friends and family and skip over the junk. Still it is in the way.

Pop goes the weasel. Revenue growing but far short of costs. FOMO probably will pull in investors but could be a while for AI to become a stable business capable of recovering operating costs.

Amazon has a reputation for being a demanding competitive workplace. Some might not be a good fit but usually get weeded out before long during regular evaluations. Less layers a common explanation to lessen wrongful termination. Amazon might be able to redeploy a portion and other unfortunate have good experience to market elsewhere when job market picks up. Amazon well known name and getting cut during restructuring better reason than low performance. Bad timing near term since economic situation still tentative with uncertainty

Shot with a camera. Warnings. Those Covid masks and sunglasses plus a baseball cap might be handy to carry around. Especially if your guest at an ColdPlay concert would like private. Unless it is subzero winter a ski mask could backfire.

Bad contract terms. The scopes are not well defined for holding System Integrator to deliverables. Oracle can be implemented timely and near contract amounts with meticulous performance agreements. Need good expertise on front end to avoid getting taken on back end. Problem is once commit hard to back out. Another suite likely to be expensive and complex as well. So much for outsourcing. Penny wise pound foolish not investing internal expertise ahead of these projects.