Connect with us
tesla model 3 tesla model 3

Investor's Corner

Tesla shares (TSLA) up in premarket as new Model 3 production goals get leaked

Published

on

Tesla shares (NASDAQ:TSLA) are up in pre-market trading Wednesday, with the company’s stock up +2.83% at $295.84 per share as of writing, amid reports of a leaked email from CEO Elon Musk outlining new Model 3 production goals.

Tesla ended in the negative on Tuesday, with the company’s stocks trading -1.21% at $287.69 per share amid the company’s feud with Reveal magazine about the publication’s allegations of workplace safety shortcomings and reports of China loosening its ownership restrictions on facilities owned by foreign companies.

Sent around 12:30 p.m. PST on Tuesday, Musk’s lengthy message to his employees included a discussion on the Model 3’s manufacturing ramp, Tesla’s expenses, and its goal of being profitable by the third and fourth quarter of 2018.

Musk’s email, a copy of which was obtained by auto news website Jalopnik, also confirmed recent reports stating that the Model 3 production line will be temporarily suspended for a few days for a “comprehensive set of upgrades” that would allow Tesla to produce 3,000-4,000 of the electric cars every week. Musk also noted in his email that another planned downtime in May is expected, which would allow the company to produce 5,000-6,000 Model 3 weekly.

Considering its new Model 3 production goals, Musk further noted that it would be hiring an additional 400 employees per week for the next several weeks between the Fremont factory and the Nevada Gigafactory.

Musk also discussed Tesla’s push towards profitability in the leaked email. Referencing Tesla’s critics who have made it a point to state that the company is yet to attain profitability, Musk stated that the Tesla is now ready to pursue more revenue as it reaches economies of scale. With this in mind, any capital or miscellaneous expenditure exceeding $1 million “should be considered on hold until explicitly approved” by Musk himself.

Elon Musk’s leaked email to Tesla employees about the new Model 3 production goals can be read in its entirety below.

Advertisement
-
-

Progress, Precision and Profit

Progress

First, congratulations are in order! We have now completed our third full week of producing over 2000 Model 3 vehicles. The first week was 2020, the second was 2070 and we just completed 2250 last week, along with 2000 Model S/X vehicles.

This is more than double Tesla’s weekly production rate last year and an amazing feat in the face of many challenges! It is extremely rare for an automotive company to grow the production rate by over 100% from one year to the next. Moreover, there has simultaneously been a significant improvement in quality and build accuracy, which is reflected in positive owner feedback.

Starting today at Giga and tomorrow at Fremont, we will be stopping for three to five days to do a comprehensive set of upgrades. This should set us up for Model 3 production of 3000 to 4000 per week next month.

Another set of upgrades starting in late May should be enough to unlock production capacity of 6000 Model 3 vehicles per week by the end of June. Please note that all areas of Tesla and our suppliers will be required to demonstrate a Model 3 capacity of ~6000/week by building 850 sets of car parts in 24 hours no later than June 30th.

Any Tesla department or supplier that is unable to do this will need to have a very good explanation why not, along with a plan for fixing the problem and present that to me directly. If anyone needs help achieving this, please let me know as soon as possible. We are going to find a way or make a way to get there.

Advertisement
-
-

The reason that the burst-build target rate is 6000 and not 5000 per week in June is that we cannot have a number with no margin for error across thousands of internally and externally produced parts and processes, amplified by a complex global logistics chain. Actual production will move as fast as the least lucky and least well-executed part of the entire Tesla production/supply chain system.

By having a Model 3 subsystem burst-build requirement of 6k by the end of June, we will lay the groundwork for achieving a steady 6k/week across the whole Model 3 system a few months later.

As part of the drive towards 6k, all Model 3 production at Fremont will move to 24/7operations. This means that we will be adding another shift to general assembly, body and paint. Please refer anyone you know who you think meets the Tesla bar for talent, drive and trust. Between Fremont and Giga, Tesla will be adding about 400 people per week for several weeks.

Precision

Most of the design tolerances of the Model 3 are already better than any other car in the world. Soon, they will all be better. This is not enough. We will keep going until the Model 3 build precision is a factor of ten better than any other car in the world. I am not kidding.

Our car needs to be designed and built with such accuracy and precision that, if an owner measures dimensions, panel gaps and flushness, and their measurements don’t match the Model 3 specs, it just means that their measuring tape is wrong.

Some parts suppliers will be unwilling or unable to achieve this level of precision. I understand that this will be considered an unreasonable request by some. That’s ok, there are lots of other car companies with much lower standards. They just can’t work with Tesla.

Advertisement
-
-

Profit

A fair criticism leveled at Tesla by outside critics is that you’re not a real company unless you generate a profit, meaning simply that revenue exceeds costs. It didn’t make sense to do that until reaching economies of scale, but now we are there.

Going forward, we will be far more rigorous about expenditures. I have asked the Tesla finance team to comb through every expense worldwide, no matter how small, and cut everything that doesn’t have a strong value justification.

All capital or other expenditures above a million dollars, or where a set of related expenses may accumulate to a million dollars over the next 12 months, should be considered on hold until explicitly approved by me. If you are the manager responsible, please make sure you have a detailed, first principles understanding of the supplier quote, including every line item of parts & labor, before we meet.

I have been disappointed to discover how many contractor companies are interwoven throughout Tesla. Often, it is like a Russian nesting doll of contractor, subcontractor, sub-subcontractor, etc. before you finally find someone doing actual work. This means a lot of middle-managers adding cost but not doing anything obviously useful. Also, many contracts are essentially open time & materials, not fixed price and duration, which creates an incentive to turn molehills into mountains, as they never want to end the money train.

There is a very wide range of contractor performance, from excellent to worse than a drunken sloth. All contracting companies should consider the coming week to be a final opportunity to demonstrate excellence. Any that fail to meet the Tesla standard of excellence will have their contracts ended on Monday.

Btw, here are a few productivity recommendations:

Advertisement
-
-

– Excessive meetings are the blight of big companies and almost always get worse over time. Please get of all large meetings, unless you’re certain they are providing value to the whole audience, in which case keep them very short.

– Also get rid of frequent meetings, unless you are dealing with an extremely urgent matter. Meeting frequency should drop rapidly once the urgent matter is resolved.

– Walk out of a meeting or drop off a call as soon as it is obvious you aren’t adding value. It is not rude to leave, it is rude to make someone stay and waste their time.

– Don’t use acronyms or nonsense words for objects, software or processes at Tesla. In general, anything that requires an explanation inhibits communication. We don’t want people to have to memorize a glossary just to function at Tesla.

– Communication should travel via the shortest path necessary to get the job done, not through the “chain of command”. Any manager who attempts to enforce chain of command communication will soon find themselves working elsewhere.

– A major source of issues is poor communication between depts. The way to solve this is allow free flow of information between all levels. If, in order to get something done between depts, an individual contributor has to talk to their manager, who talks to a director, who talks to a VP, who talks to another VP, who talks to a director, who talks to a manager, who talks to someone doing the actual work, then super dumb things will happen. It must be ok for people to talk directly and just make the right thing happen.

– In general, always pick common sense as your guide. If following a “company rule” is obviously ridiculous in a particular situation, such that it would make for a great Dilbert cartoon, then the rule should change.

Advertisement
-
-

If there is something you think should be done to make Tesla execute better or allow you to look forward to coming to work more (same thing in the long term), please send a note to [redacted].

Thanks for being such a kickass team and accomplishing miracles every day. It matters. We are burning the midnight oil to burn the midnight oil.

Elon

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

Advertisement
Comments

Elon Musk

SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff

Elon Musk told SpaceX staff AI revenue will soon dwarf rockets and Starlink combined entirely.

Published

on

By

Elon Musk told SpaceX employees this week that artificial intelligence, not rockets, will soon carry the company’s revenue. In a roughly 29 minute internal address posted on SpaceX’s X account on Tuesday, Musk said AI revenue will pass every other line of business at SpaceX “probably in September” and pull further ahead by the fourth quarter.

The numbers he gave are specific. SpaceX currently runs 1.4 gigawatts of AI compute capacity. Musk wants that at 10 gigawatts by the end of 2027, a jump he tied directly to revenue: “if we bring 10GW of AI online by the end of next year, it will be $300 billion to $500 billion a year in revenue.” He called those “big numbers,” which undersells a projection larger than what most countries produce in a year.

Musk went further on where AI fits into SpaceX’s future. “Probably in four or five years, AI will be 99% of the value of SpaceX,” he told staff, adding that digital intelligence would eventually run “a trillion times” ahead of biological intelligence as computing scales. He tied that growth to the company’s founding mission, telling employees “we must win on AI, because the future is overwhelmingly AI and robots,” with the payoff meant to help fund Starship and a Mars program that increasingly runs through Terafab, the joint Tesla, SpaceX and xAI chip plant.

Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry

Advertisement
-
-

None of this is entirely new territory. SpaceX told investors much the same story during its first earnings call as a public company on August 4, where Musk moved the company’s $1 trillion revenue target up a year to 2030 and said Starlink could someday carry a majority of the world’s internet. What the all hands video adds is a hard deadline and a specific power figure Musk had not given publicly before, along with a franker pitch to his own workforce that AI, not launch cadence, is now the thing SpaceX is betting its future on.

The AI revenue itself is not coming from SpaceX training its own models. It is largely Starlink acting as the network layer for xAI’s workloads, plus SpaceX renting out compute capacity directly, the same approach behind the roughly $16 billion the company spent on AI infrastructure in a single quarter.

Musk closed the video with a pitch aimed at recruiting and retention rather than investors, telling employees that anyone who helps SpaceX win the AI race will eventually get the chance to go to the moon or Mars themselves. Whether SpaceX can turn 1.4 gigawatts into 10 in seventeen months is the more immediate question, and one that will show up in quarterly numbers well before anyone leaves Earth.

Continue Reading

Investor's Corner

Tesla has one big financial question to answer for investors: Morgan Stanley

Published

on

Credit: Tesla

In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.

Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.

Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue

Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.

The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”

Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”

Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”

Advertisement
-
-

Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.

Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.

Continue Reading

Investor's Corner

SpaceX AI investment gamble will make it a big winner, firm says

Published

on

Credit: SpaceX

SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.

The firm also upgraded shares to a Buy from Hold and set a $160 price target.

SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.

Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.

There are plenty of ways the company can do this:

Leasing excess compute capacity through contracts

SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.

SpaceX is charging Anthropic massive money for its compute

Advertisement
-
-

High utilization driven by industry-wide scarcity

The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.

Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.

Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.

High incremental margins on the rental business once capacity is online

GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.

Parallel monetization of its own AI software and applications

Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.

These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.

Efficient, large-scale deployment and vertical integration advantages

SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.

Advertisement
-
-

Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.

SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.

Continue Reading