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Tesla emphasizes factory safety, preempts possible smear campaign by auto union

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Tesla released a blog post Sunday evening that reemphasizes the company’s goal to become the safest auto factory in the world. The post comes after the United Auto Workers Union (UAW) attempted to rally support earlier this year from Fremont factory workers in favor of unionizing.

Tesla states that it has received several media inquiries over allegations about safety at its Fremont, California factory. The well-timed nature of the inquiries, and similarity in topic, led Tesla to believe that the UAW was spreading anti-Tesla propaganda to the media in an attempt to provoke a response from the public, and from Tesla employees. In typical fashion, Tesla acted quickly and took to the offensive to defend the company’s approach to manufacturing, and maintaining the health and safety of its employees. The company has gone as far as forming dedicated Ergonomics Teams that have exclusive focus on “improving health and safety and reducing ergonomic risk for current and future production”.

“We are building entirely new vehicles from the ground up, using entirely new technology, production, and manufacturing methods, and ramping them at high volume. Getting this right is extremely difficult, and we deeply appreciate the hard work that all our employees do to help us achieve what most regard as impossible.” says Tesla through its blog post.

Tesla notes that in just 15 years, the company has become the largest manufacturing employer in California with over 10,000 production jobs in the Fremont factory and surrounding Bay Area.

Tesla has a proven track record of putting safety first as made evident by the award-winning safety ratings for its Model S and Model X. Vehicles have taken the brunt of the impact for their occupants, have swerved to avoid accidents and have even accelerated to avoid accidents. The innovative safety features Tesla has built into its vehicles is unsurpassed in the automotive world.

Though Tesla’s safety record to date is already better than industry-average, according to its press release, the company indicates that it continues to learn and apply new production processes aimed at improving employee well-being. Among the improvements are:

  • Added 3rd shift to the manufacturing schedule to cut overtime because the employees asked for it and it was the right thing to do.
  • Hired dedicated Ergonomist and established an Ergonomics team to ensure that current and future Tesla manufacturing lines are ergonomically friendly for employees.
  • Model 3 has been designed with manufacturing employee ergonomics in mind. The Tesla Ergonomics Team works closely with design and engineering teams to catch ergonomics issues before they happen and proactively drive these improvements back into the design of the equipment and the car. Yes, you heard that right. Tesla will redesign the car if it is resulting in ergonomically challenging situations for its manufacturing employees.
  • Established safety teams in every department which meets regularly to ensure safety is a top focus in its manufacturing operating departments.

These changes are not just skin deep and the company is seeing the results of the changes already. Tesla says it has collectively reduced 52% in lost time incidents and a 30% reduction in recordable incidents in the first quarter of 2017 versus the same period last year. These more granular metrics support an improvement in the industry standard Total Recordable Incident Rate (TRIR) which at the end of Q1 2017 was 4.6, a full 32% better than the industry standard of 6.7.

Anyone who has worked in an industry where safety is important can tell you that a culture of safety awareness is built day by day, month by month over many years. Tesla has a demonstrated history of superior results. The steps it has outlined to drive further improvements at the factory are evidence of a continued focus on safety and its employees.

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The full post from the Tesla Blog reads as follows:

Creating the Safest Car Factory in the World

Earlier this year, the United Automobile Workers (UAW) announced it was attempting to organize workers in Tesla’s Fremont factory. The latest phase of their campaign involves a concerted and professional media push intended to raise questions about safety at Tesla.

We have received calls from multiple journalists at different publications, all around the same time, with similar allegations from seemingly similar sources about safety in the Tesla factory. Safety is an issue the UAW frequently raises in campaigns it runs against companies, and a topic its organizers have been promoting on social media about Tesla.

Some of the publications who have contacted us have rejected covering this “story” because they understand it is a misleading narrative based on anecdotes, not facts. However, there will likely be a few publications that choose to publish stories regardless, so we want to make sure the public also has the facts. Watch for these articles to downplay or ignore our actual 2017 safety data and to instead focus on a small number of complaints and anecdotes that are not representative of what is actually occurring in our factory of over 10,000 workers.

First, some context is important. The difficulty of starting a successful U.S. car company cannot be overstated, as evidenced by the fact that Ford is the only other U.S. car company to have never gone bankrupt. We are attempting to break this trend in order to fulfill our mission of accelerating the world’s transition to sustainable energy.

We are building entirely new vehicles from the ground up, using entirely new technology, production, and manufacturing methods, and ramping them at high volume. Getting this right is extremely difficult, and we deeply appreciate the hard work that all our employees do to help us achieve what most regard as impossible. While we still have a long way to go, in less than 15 years, we have become California’s largest manufacturing employer, creating more than 10,000 high-quality production jobs in the Bay Area, many of which had previously disappeared with the closure of NUMMI under the stewardship of the UAW.

As we work to achieve our mission, nothing is more important to us than protecting the health and safety of our employees. As we look at our safety record in prior years, we realize that we have not been perfect. No car factory is perfect, but particularly given that Model S and X were the first cars we built at more than tiny volumes, we fully acknowledge that they were not designed for ease of manufacturing – far from it. As would be expected, we have since learned many lessons, including how to improve the production process for the well-being of our colleagues.

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Here are just some of the improvements that we have made:

  • Historically, depending on production needs, some Tesla employees have worked significant amounts of overtime because it was necessary for the company to survive. However, working overtime can be challenging for employees and their families. Last year, we added a third shift to reduce the overtime burden on each team member and to improve safety. We did this because our employees asked for it, and because it was the right thing to do.
  • As a result of this change, the average amount of hours worked by production team members has dropped to about 42 hours per week, and the level of overtime decreased by more than 60%. We hired our first dedicated Ergonomist in 2013, and in 2015 established an Ergonomics Team exclusively focused on improving health and safety and reducing ergonomic risk for current and future production.
  • In addition to improving the process of building Model S and X, Model 3 has been designed specifically with ergonomics in mind. Our ergonomics team has worked hand-in-hand with our engineers on the design process. As just one example, we created simulations that showed us where reaching or bending by employees was most likely to occur, which in turn allowed us to redesign the equipment and the car to eliminate these issues as much as possible.
  • Each department now has a Safety Team that meets regularly to increase safety awareness and recommend improvements, many of which have already been implemented.
  • We are continuing to establish health and safety management procedures to scale with our operational growth.

The third shift, ergonomic improvements and increased safety awareness have collectively led to a 52% reduction in lost time incidents and a 30% reduction in recordable incidents from the first quarter of 2016 to the first quarter of 2017. In addition, through the end of Q1 2017, the factory’s total recordable incident rate (TRIR), the leading metric for workplace safety, is 4.6, which is 32% better than the industry average of 6.7. This data shows that there has been a dramatic improvement in employee safety, we are now significantly better than industry-average, and we continue to improve each day. A few anecdotes in a factory of over 10,000 people can always be given, but these are the facts.

Tesla’s safety record is much better than industry average, but it is not enough. Our goal is to have as close to zero injuries as humanly possible and to become the safest factory in the auto industry. We will get there by continuing to ask our employees to raise safety concerns and to keep proposing ideas that make things even better.

The alternative is to stop improving and to instead do what the rest of the industry, including the UAW, has always done. But being industry average would make our safety 32% worse. We care too much about our team to go backwards.

I'm passionate about clean technology, sustainability and life. I've worked in manufacturing, IT, project management and environmental...and enjoy unpacking complex topics in layman's terms. TSLA investor. Find more of my words on my website or follow me on Twitter for all the latest. Tesla Referral link: http://ts.la/kyle623

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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.

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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

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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.

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Investor's Corner

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

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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.”

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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.

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Investor's Corner

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

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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

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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.

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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.

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