https://edition.cnn.com/2025/07/09/investing/nvidia-is-the-first-usd4-trillion-company

https://www.techspot.com/news/103006-nvidia-ceo-jensen-huang-compensation-increases-60-now.html

CEO Jensen Huang now has a net worth of over $80 billion, while his company his $4 trillion in market value last week, beating out the likes of Apple and Microsoft.

What's been the driving force for the market value? AI?

By a mile! As recent as 2019 their market cap was less than $150 billion. To go from that to $4 trillion in less than 6 years is unthinkable.

It now makes sense why they don't give 2 shits about upgrading and optimizing their GPU hardware for best gaming performance anymore. That's not where the money is.

SEGA gave them the boost they needed in the 90s to get started as well. https://www.tomshardware.com/tech-industry/nvidia-nearly-went-out-of-business-in-1996-trying-to-make-segas-dreamcast-gpu-instead-sega-americas-ceo-offered-the-company-a-dollar5-million-lifeline

With SEGA they developed their first PC card NV1 that had ports of Saturn games for PC.

So NVIDIA is to blame for jobs lost to AI?

Nvidia for the most part, has been able to avoid layoffs. I believe they laid off like 300 at the beginning of the year, but that's pretty much been it for idk how many years. Nvidia is a hardware company though, unlike the likes of Microsoft or Google, who are primarily software companies. So they need the developers and engineers for their hardware since they focus on AI in hardware computing. Whereas Microsoft and Google are trying to go for AI in software competing with the likes of ChatGPT.

Nvidia is also a lot smaller of a company than most tech giants. Microsoft and Google have around 200,000 employees. Apple has over 160,000. Nvidia only has 36,000. They don't have overhire in positions that aren't needed. So it's helped them stay well above profitable (clearly with a $4 trillion market cap) to the point they don't need to have layoffs.

How long that momentum lasts? Who knows.

Well I wanna see all generative AI servers crash. They're putting human artists, writers and voice actors in economic turmoil.

Probably not. Google, who invented the transformer, mainly uses their own TPU's for most of their compute, even in our current NVIDIA-dominant world. Without Nvidia gobbling up the hardware market share, you'd probably see even cheaper deep-learning purposed compute and more ubiquitous generative-AI applications than there already is. 

Nvidia is just the biggest player and the near-monopolist since CUDA made things a lot easier for researchers and most early deep-learning research took advantage of CUDA with the main SDK's and libraries for model-training depending on it. 

Really, you should blame capitalism in general for job losses, including those lost to AI automation. The relations of production is the problem. 

All my GPUs so far were from Nvidia, and I have no complaints.

My current GPU is a 3050, and so far it's working really good, I even managed to run some more demanding games without major issues. And it wasn't very expensive.

That's when Nvidia was really starting to take AI seriously. Their most recent 50 series cards are barely a bump horsepower wise compared to the 40 series cards. The big upgrades lie in the AI tech.