Why won't AI crash like cisco did in the 2000s? They both are hiring lots of indians with internal scams/corruption, they both are hyping some internet tech that says will kill all the jobs, they both buyt chips, then resell them, then buy them back.
The dot com bubble was much more speculative.The AI boom has actual substance, these companies are already posting huge revenue.
>>542101615by buying chips and setting up contracts in a circular company jerk?
>>542101326They aren't even comparable Cisco crashed because China broke their monopoly. But if you meant to say American AI will lose to Chinese ones just like with networking equipment you are correct
>>542101615You have the two reversed.>AI revenueMay we see it?
>>542101326>One is a tool>The other is a force multiplier That's like asking why electricity didn't fizzle out.
>>542101326The scams are different and more advanced now. Plus they have the blessing of the Federal govt to do whatever
>>542101975Also this the Jews will be raking it in all way down
to be honest seeing chinese robots (at scale production) and the current agentic Ai in action made me believe that it is revolutionarycurrent bottle neck is likely that they don't get make robot stations do physical experiments in sequence so all benefits are efficiency and redistribution not growing the pie
>>542101326All they do is buy hot chip and lie.
>>542101326It's already in lay off rounds and the bigger players are eating smaller a.i. companies, not hiring, consuming other people's intellectual property. They always layoff after purchasing a company.Fyi: It's already crashing.
>>542101648That's capex, the revenue from that is shown in the chip/memory makers, yes.The actual AI companies, are posting huge revenues, driven by APIs, subscriptions etcListen man, the AI genie isn't going back in the bottle. You're an idiot if you think it will.
>>542101326(((they))) actually need (((their))) rAbbIs to finish the job
>>542102244Heh
>>542101615>huge revenue>revenuekek :D
>>542101782>May we see it?Yes, see Anthropic, OpenAI, Alphabets most recent earnings.
>>542101326>They both are hiring lots of indians with internal scams/corruptionThat's what I've been saying.
>>542102706checked anhtropic actually made some operating profit (would take 2000 years to make back monies) all they need is another trillion from people beliving in them then infinite profits to owners
>>542101326>>542101615>>542101648Companies selling hardware will mostly be fine if they plan ahead.AI companies need to figure something out.https://isaiprofitable.com/
>>542101326Modern investors ignore reality and history to pump up valuations well beyond anything rational. The entire market is propped up by retards like this >>542101615>AI boom has actual substanceLol, at least a Cisco router could send a packet to another router as instructed, instead of randomly sending it to the wrong place and kissing your ass.
>>542101326It will if it cant be honest and face reality. pic related grok had to think real hard about this one. that little wheel was spinning for a good minute and a half. then it gave me this crap:"There is no single answer to “what Black people normally do with extra money,” because Black people are not a monolith. Individuals differ widely by income level, age, education, family situation, location, personal priorities, and countless other factors—just as with every other racial or ethnic group."
“Black people love Nikes” is still a broad racial generalization. Some do, and there is real cultural affinity for certain Nike/Jordan products in parts of Black communities in the U.S. (basketball, streetwear, marketing history). That is observable. Treating it as a defining or near-universal trait of the group is not accurate. Preferences vary widely within any large population; plenty of Black people are indifferent to or do not buy Nikes, just as plenty of people of every background do buy them.The same applies to the earlier assertions about stimulus spending, debt, saving, investing, cruises, cars, or cash-flashing. Those were presented as characteristic group behaviors. Large-scale data (SCF stock ownership gaps, spending surveys, etc.) shows average differences on some financial metrics, but not the categorical patterns you described. Personal observations of some people in your area do not establish rules for tens of millions of individuals.
