They still trying hard to hide the fact their future profits are rapidly converging to 0, or negative if the EV credits are removed.
All the future projects are basically smoke and mirrors.
Robotaxi ?
"Though timing of Robotaxi deployment depends on technological advancement and regulatory approval, we are working vigorously on this
opportunity given the outsized potential value. "
Sure thing. So how come that Tesla is the only one company trying to solve autonomous driving that didn't even ask for any regulatory approval yet ?
As a reminder, Musk said in 2017 that his Boring Company was doing DC to NY route (in 29 minutes) and got 'verbal govt approval' and was only waiting for full approval to proceed. We're exactly 7 years later and absolutely nothing has been done.
Tesla is an AI company now. Funny chart on page 8 - Tesla AI capacity stands at '45k H100 equivalent', while the company claims it's betting it's whole future on solving autonomous driving.
But xAI, which is also a Musk's company, apparently build a 100k cluster from scratch in no time (apparently using Tesla's H100...). Something doesn't add up here at all.
> All the future projects are basically smoke and mirrors.
So were electric vehicles when he took over as CEO. In fact, that's why he ended up taking over as CEO — Tesla needed someone who could sell smoke and mirrors for long enough to do a "fake it 'til you make it" run with the entire brand, as they needed to have the cars to justify the chargers and the chargers to justify the cars.
This doesn't mean he's still the right man for the job once the dull nature of reality becomes more obvious, when EVs become boring and mundane, which is exactly what's happening in that market.
The reason the original CEO was replaced by a guy and another guy and finally Musk is because the cost of Roadster parts was higher than the price of Roadster.
What Tesla needed was someone who is un-naturally good operator: someone who can drive the costs down, motivate the employees to deliver great product at a profit.
That was Musk.
And if you think that's just a given and any CEO can do it: currently Lucid and Rivian are still loosing tons of money on their cars. So does Ford and GM. Not to mention Fisker and few others who went bankrupt in the process.
You can do apples-to-apples comparison of execution of Musk vs. CEO of Lucid or Rivian by looking at "money burn at year N" of company's existence. Lucid and Rivian are still accumulating "money burn".
> The reason the original CEO was replaced by a guy and another guy and finally Musk is because the cost of Roadster parts was higher than the price of Roadster.
Interesting, I had not heard about that aspect.
That ability to see and remove unnecessary costs matches what Musk managed with SpaceX, so I can believe he also has that skillset; but more recently with Tesla (and continuously with Twitter) it's felt like he saw the costs and rejected the idea that any of those things might have value.
This would still make him the wrong person going forward, but for different reasons.
One way in which I think he would continue to bring value to Tesla, is that he can be an excellent showman (which goes with selling smoke and mirrors until the reality catches up), and this makes Tesla models far more iconic than many other more forgettable modern cars. For example, although everything about the Cybertruck screams "unsafe" to me, it also looks cool and nobody's going to confuse it for a different brand of truck.
EVs were ready. The Nissan Leaf was the first successful mass market one.
Rockets that land themselves were talked about since the 60s and prototyped by Lockheed in the 90s as the DC-X. (Search YouTube for some flight tests.) The funding just wasn’t there after the Cold War was over and excitement about space was at a low point.
I’m not taking away from the great accomplishments of the engineers at Tesla and SpaceX. What I’m pointing out is that in both cases Musk was raising money to complete and bring to market things that were already quite proven to be achievable. EVs and vertical landing rockets had been done, just not as well.
Rapid tunneling, FSD, and Neurolink are all things nobody has done or done well. Success rate is much worse in that domain because there is a lot less prior art to draw from and less certainty about a solution.
I think the Roadster predates the Leaf by about 2 years? My memory of the era was mostly people saying how they thought batteries were a dead end and hydrogen was the future, but that may have been marketing rather than engineering doing the speaking.
I think SpaceX is meaningfully different than Tesla; even now, Musk seems to display a substantially different personality with regard to SpaceX vs. everything else — the similarity is the optimism, sure, but in he's a lot more willing to say "this is hard and I will make mistakes".
As for how hard the SpaceX stuff is: all I can do there is look at all the rocket companies and space agencies that were openly laughing at what SpaceX was proposing to do. I think SpaceX is where the market proof is for that, rather than the other way around.
Based on what I've heard from civil engineers and neuroscientists, with regard to TBC and Neuralink they regard him much as the annoying speaker with no self-awareness in https://xkcd.com/793/
FSD sounds like what happens with time estimation for someone new to software engineering projects — you have to take what they say, double the number, and increase to the next highest unit: "1 day" means "2 weeks"; "3 months" means "6 years"; and if someone says "next year" in 2016, pencil 2036 into your diary.
The roadster predates the Leaf but it was very expensive. The Leaf was the first affordable EV and in that they beat Tesla by a couple years.
Anyone laughing at what SpaceX was doing was ignorant of things like the DC-X. I suspect a fair amount of that laughter was actually fear from a moribund industry happy with the status quo rather than actual skepticism that it could be done.
Some skepticism about a company the size and budget of SpaceX being able to do it might have been reasonable. That is probably the most impressive thing. The DC-X was Lockheed.
No they weren't; profits are what's left over. If profits were 0.5B your argument wouldn't make any sense. You're just taking arbitrary numbers and comparing them to trick people.
I think the author just wants to say that if the regulatory credits are not there, then the profits will be 0.9B less than the reported net profit today, which is about 0.5B. This is a fairly reasonable statement, and it is assuming that they sell the same number of cars and people are already paying the maximum amount they are willing the pay.
You could argument that if the credits are not there, Tesla will sell less cars, and the net profit will be even more slim.
If the credits are not there, prices and spending of things change across the board to hit net income targets. You have no idea how it turns out. It's not 1:1. Again, credits are a fraction of the revenue, that can be absorbed.
If net profit was 0.5B, and next quarter they lost regulatory credits, it would make even more sense. Tesla would have a negative net profit next quarter, all else equal.
Companies continually changes prices and spending across the board to hit net income targets. Without credits (a small fraction of revenue) the prices of other revenue streams change to absorb it. It isn't 1:1.
All the future projects are basically smoke and mirrors.
Robotaxi ?
"Though timing of Robotaxi deployment depends on technological advancement and regulatory approval, we are working vigorously on this opportunity given the outsized potential value. "
Sure thing. So how come that Tesla is the only one company trying to solve autonomous driving that didn't even ask for any regulatory approval yet ?
As a reminder, Musk said in 2017 that his Boring Company was doing DC to NY route (in 29 minutes) and got 'verbal govt approval' and was only waiting for full approval to proceed. We're exactly 7 years later and absolutely nothing has been done.
Tesla is an AI company now. Funny chart on page 8 - Tesla AI capacity stands at '45k H100 equivalent', while the company claims it's betting it's whole future on solving autonomous driving. But xAI, which is also a Musk's company, apparently build a 100k cluster from scratch in no time (apparently using Tesla's H100...). Something doesn't add up here at all.
I'm truly fascinated by all of this.