<Please don’t tell me this isn’t a proper content for the community. THIS is tech right now.>
The rise of AI has left big tech companies performing mass layoffs and pushing artificial intelligence, chatgpt, and machine learning systems faster than the public can fully understand them. As investors pour billions into the next wave of automation, many are beginning to question whether the ai bubble is being built on genuine progress or on hype designed to inflate valuations. The pressure to dominate artificial intelligence has fueled mass layoffs, restructuring, and sweeping promises about what ai will eventually become, creating a widening gap between the narrative of innovation and the realities of the tech industry. Amid soaring expectations, concerns about an ai bubble burst continue to grow, especially as companies position automation as the future while quietly removing the workers who once powered their success.
Across the industry, the excitement around ai has transformed into an economic engine that rewards speed, disruption, and scale above all else. Tech leaders frame artificial intelligence as the cornerstone of a new economy, while investors treat every advancement as a signal for explosive growth. Yet the aggressive push for ai adoption has created instability, encouraging companies to chase breakthroughs without clear long-term strategies. This environment has led to speculation about whether the ai bubble is sustainable or whether the rapid expansion of big tech will eventually collide with financial limits, power shortages, and market exhaustion. As more companies cut costs under the banner of automation, the link between stock growth and real productivity becomes harder to trust.
Workers across the country are feeling the impact of this shift as mass layoffs accelerate in the name of “efficiency.” The fear of losing jobs to ai has created uncertainty in nearly every profession, from white-collar office roles to creative industries, customer service, and engineering. Many now worry that artificial intelligence is being used less as a tool for progress and more as a justification for reducing payrolls and protecting profits. This tension has fueled wider conversations about wealth inequality, big tech influence, and the expanding power of billionaires who shape the future of work. With each announcement of new automation tools, concerns about job displacement and long-term stability become harder to ignore.
The possibility of a market crash tied to artificial intelligence underscores the fragility of the current boom. Investors have seen similar patterns in past economic bubbles, where enthusiasm outran reality and companies relied on speculation to maintain growth. The momentum behind the ai surge has created a culture where breakthroughs are expected on a constant cycle, placing enormous pressure on companies to deliver results that may not be achievable. As questions grow about the limits of computation, energy demands, and the cost of scaling large-language models, many believe the hype surrounding ai could lead to a significant correction.
The conversation around the ai bubble reflects deeper anxieties about technology, power, and the future of the job market. As big tech reshapes the economy, people are increasingly aware of how artificial intelligence, automation, and corporate influence intersect with mass layoffs, wealth concentration, and economic instability. This moment represents more than a technological shift — it reveals a struggle over who benefits from innovation and who carries the consequences when that innovation is pushed too far.
#financialeducation #financialfreedom #history
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0:00 Intro
0:23 Why The AI Boom Is Mirroring Bubbles Of The Past
0:46 Sam Altman On If AI Is “Too Big To Fail”
1:01 Why This RUSH For Data Centers Mirrors Every Bubble Of The Past
2:54 Why Your Tax Dollar Is Paying For The AI Data Centers
4:05 Why Companies Are Using Circular Financing
4:43 The AI Circular Financing Is JUST Like The Dot Com Bubble
5:44 How In The World Is OpenAI Making These Deals…
6:31 Sam Altman Gets Triggered With AI Bubble Question
6:47 Why The U.S. NEEDS The AI Bubble
8:18 Why AI Is A Financial Bubble
9:43 Why Companies Are LYING About Mass “AI Layoffs”
11:23 Why The AI Bubble Is Almost Guaranteed To Burst
13:49 Why Your Electrical Bills Are Going Up
15:47 Why It’s Not JUST Billionaires Building Bunkers (Real Life Experience)
17:58 Millionaires Are Building Bunkers While People Can’t Afford Groceries
19:22 Why I Don’t Believe AI Will Miraculously Create New Jobs
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The purpose of the “AI” grift is to shovel as much money as possible from marks to grifters.
Whether the “bubble” pops or not, that’s a concern for the marks.
Yeah. Not a fan of YouTube. Regardless of content, I am not clicking.
Use mpv on desktop, newpipe on mobile
That’s still not a solution for some.
I for one still won’t open videos that way to not link my IP/client with contents I am interested in.
NewPipe is strictly limited to music.
Piped is for watching stuff.
Don’t expose your real IP, keep a VPN on all the time and not only when you have traffic you want to mask.
NewPipe definitely does play video. I have it installed and it works fine
Yes, I use a VPN for basically everything I do online, but I still don’t want Google to link the IPs I use to the content I’m interested in.
And I know NewPipe works with video, I meant I strictly use it for music (behind VPN) and nothing else for the reason above.
And I know NewPipe works with video, I meant I strictly use it for music (behind VPN) and nothing else for the reason above.
Gotcha, I misunderstood.
I still don’t want Google to link the IPs I use to the content I’m interested in.
But YouTube’s servers only know that some ProtonVPN (ex.) user is connecting. They aren’t able to discriminate your music requests from those of some other user on the same VPN server - based on the IP alone at least. That’s assuming you never generate any traffic on that node while signed into your Google account of course. Is the video vs music distinction because song listens offer less bits of identifying information than videos?
Don’t take this as preaching what you should or shouldn’t do, I don’t judge anyone’s threat model - just always curious about where people draw the privacy vs “comfort” line :)
No worries, I am not reading it as preaching.
Basically what I try to do is minimizing the interaction with Google and have some sort of redundancy.
So on my phone I connect to a VPN server and use NewPipe for music. I’m fine with that considering that it is just music and lots of people could have similar activity.
On desktop I connect to another VPN server and use Piped (or Invidious) because the content I watch is mainly from my country (different than the server location although I’d still avoid it no matter the location) and I feel like I could easily be the only one doing it, so even if it is a VPN IP I prefer to not associate it at all with my activity.
Also the server I usually use is blocked by Google anyway, same goes for others that I frequently use on desktop.
In the case I REALLY need to open a YouTube video I do it only on desktop through Mullvad Browser from yet another server that isn’t blocked by Google
On top of that I don’t have a google account and I don’t use other Google services, not even Play Services on my phone.
Disclaimer: I’m not an expert of anything involved here, I just follow my instinct 🤣 so if something I do seems uselessly complicated, it probably is.
AI bubble bursts recessesion follows
or… maybe it wasn’t designed at all. maybe it is just a natural artefact of all big tech companies wanting to control the next big thing.
Aye, and with all the money consolidated in a few big tech companies they’ve basically been able to form their own “oligarchy funded project” and act independently of any government.
An economy all their own.
There are two bubbles. One is the bubble made by every company under the sun trying to shove AI into their product without any sense of why or how. And wallstreet is buying it up.
Then there is the second bubble. That is the big AI players trying to get AI ready to replace large parts of the workforce. It’s still unclear if that is possible with our current techniques or if we need a scientific breakthrough that might be years or decades away. Still, the tech companies spend money as if that is just around the corner.
Who knowes if these bubbles burst at the same time?
I think that’s a good observation.
Part of the problem is that all the while the stock prices stay up, those companies in the second bubble have the spending power of governments, and that in-turn inflates the first bubble.
