wnmurphy
Joined 11 years ago
Joined 11 years ago
Long-term investors would lose about 40% of their investment to subsidize the inflated valuation of X (bought by xAI), the inflated valuation of xAI (bought by SpaceX), and SpaceX (whose valuation is based on the assumption that demand for inference is effectively unlimited, and that everyone will prefer hardware in space over Earth).
The valuation of both companies was inflated prior to acquisition, and Tesla shareholders will be asked to dilute their investment by absorbing that cumulative inflation.
Not even to mention that Musk would have exclusive control over the entire conglomerate, with not even the pretense of a Board to check his power.
When even Steven Mark Ryan is like "let's pump the breaks a little bit," you know it's bad.
They also consistently lose in court once these charges are subjected to scrutiny. The point seems to be to merely manufacture bad headlines to smear the targets.
Prior to this administration, the feds had a 93% conviction rate. With so many frivolous cases falling apart in court, I'd be curious to know where that percentage is now.
The other factor that threatens the $6T required to justify... open source models crushing the pricing power of these companies. If I can use some open source agent management framework + self-hosted Qwen to basically replace my entire Product org for free, then why would I pay Microsoft/Google/Anthropic/OpenAI?
Warehouse and factory labor is the next largest market for AI/robotics, at about $7T/year globally.
The bubble question is really about the target year. Will these companies start on a trajectory where AI begins eating these massive markets before investors lose faith?
To me it looks like one of these is true:
(1) this is indeed a bubble, and AI will turn into a useful tool integrated into everything but fall short of expectations. We'll see some significant multiple compression in the share prices of these core AI companies, but they'll remain good investments in the long term.
(2) this is a real transformation, the investment was worth it, and these companies will earn massive revenue while causing Depression-era levels of unemployment (24% if half of knowledge workers and factory/warehouse workers can get jobs).
Basically, the revenue required to justify the infra spend requires that they start eating existing industries, because that's certainly not going to come from ChatGPT/Claude subscriptions.
https://chatjimmy.ai/ blew my mind at how fast etched model weights can be.
For on-device LLMs, there's a point of diminishing returns, meaning you don't need to have the latest frontier model for most operations.
I think in 2008 I walked by it and said "oh, that's a funny art installation." Then the phone rang, and I said "wait, what? is that a working pay phone?"
I picked it up and someone asked me if I was satisfied with my home insurance.
Tesla does have ~700k other employees.