Investor's Corner
Tesla guides EV industry’s shift from niche production to mass market
As Tesla continues to push the boundaries on automation in its factory production line, 2018 could be the year when the company and the electric vehicle (EVs) industry shifts from being seen as niche production to the mass market. Noting that roughly 1.3 million EVs were sold around the world in 2017, a 57 percent increase over 2016 sales, global consultancy McKinsey predicts that EVs’ share of total passenger vehicle sales could reach 30 to 35 percent in major markets like China, Europe, and the US by 2030. In partnership with automotive benchmarking specialist A2Mac1, McKinsey took a deep dive into EV technology, and identified four strategies that automakers should follow to remain relevant as the industry transforms itself.
EVs reached a major milestone in 2017. The main obstacles to mass market adoption have been driving range and price. With the launch of Tesla’s Model 3 and GM’s Chevy Bolt, both of which offer a range of over 250 miles, McKinsey believes that the range issue has basically been solved, and that automakers can now focus on reducing price points, either by increasing design efficiency or reducing manufacturing costs. To be successful at this, McKinsey believes they will need to follow four technical strategies.
1 – Build native electric vehicles
Native EVs – cars built on a custom electric platform, rather than adapted from legacy fossil-fuel vehicles – cost automakers more to develop, but offer multiple advantages. A native EV doesn’t have to be designed around bulky components that are no longer needed, such as drive shaft tunnels and exhaust systems, so it can accommodate a bigger battery pack. The pack can also be placed where it makes the most sense – at the bottom of the vehicle. This “skateboard” design, made famous by Model S designer Franz von Holzhausen, has since been copied by other automakers. Not only does it improve handling by giving the vehicle a lower center of gravity, it also opens up much more space for passengers and cargo.
2 – Push the boundaries of powertrain integration
McKinsey’s benchmarking revealed a continuing trend toward EV powertrain integration: EV-makers are integrating components such as inverters, motor controllers, etc, into fewer modules. One indicator of the increased level of integration is the design of the electric cables connecting the main electric powertrain components (battery, motor, power electronics and thermal management). McKinsey observed a decrease in both cable weight and the number of parts in the latest electric models compared with earlier vehicles.
EV powertrains are inherently more flexible, as the components are smaller, and designers have more freedom to place them in the best positions to optimize space. McKinsey found that the Chevy Bolt seems to use an ICE-like positioning of its powertrain electronics, whereas the Tesla Model 3 integrates most components directly on the rear of its battery pack and rear axle.
3 – Stay ahead in the technology game
Electric vehicle customers tend to be tech-savvy – they expect to have the latest driver-assistance systems, connectivity features and infotainment goodies. This almost obligates EV manufacturers to equip their vehicles with the highest levels of technology available. However, McKinsey sees this as an opportunity, as it creates a great testing field for the new technologies that OEMs and third-party providers are developing.
Vehicle controls are steadily migrating from physical knobs and switches to a more central, smartphone-like user interface. Of course, Tesla’s Model 3 is the ultimate example of this, but most EVs are following the trend of clearing the clutter. “We observed EVs in our benchmark that have as few as seven physical buttons in the interior, compared with 50 to 60 in many standard ICEs,” says McKinsey.
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Rimac Concept_One digital controls being demonstrated at Monterey Carweek
Behind the scenes in vehicles’ electronic control units (ECUs), the trend is also toward more consolidation. Legacy autos are controlled by a jumble of different computer systems, often from different suppliers, that talk to each other in limited ways or not at all. Once again, Tesla led the way. In a 2014 interview, Tesla founder Ian Wright told me that his 2008 Volkswagen probably had “sixty or seventy electronic black boxes, 300 pounds of wiring harness, and software from 20 different companies in it.” Tesla’s vehicles use one central computer system. “The major reliability problem with those cars is the electronics and software,” said Wright. “I think Tesla did take a real Silicon Valley systems architecture perspective in designing all the electronics in the Model S.”
In an EV, electronics and software are the heart of the vehicle, and Wright predicted that, as the majors began to produce EVs, they would eventually be forced to adopt a more systems-oriented approach. McKinsey found that this prediction is coming true. Automakers are finding that a centralized approach gives them the chance to own a key control point in the vehicle, helps to save on weight and costs, and may improve reliability. Central, high-power ECUs “could also be the backbone for developing fully autonomous driving.”
4 – Design to cost
Legacy automakers are still struggling to make a profit on their EVs, mainly because of high battery costs (not Tesla, which claims to be earning margins of over 20% on Model S and X sales). Now that the range issue has been more or less solved, McKinsey believes OEMs will need to apply design-to-cost (DTC) strategies to produce EVs at attractive price points while earning decent margins. Fortunately, this something that established OEMs and suppliers are good at, so they may be able to quickly catch up. For example, improvements in battery technology may allow automakers to switch from lightweight but costly aluminum to more cost-efficient steel (a shift Tesla has already made with Model 3).
Can the traditional automakers make money in the volume EV market? Many industry observers are skeptical – one reason for the companies’ reluctance to embrace EVs may be that they see them as a lower-profit proposition. In the first public acknowledgment of this dynamic, Daimler recently announced that it foresees an end to profit growth this year, partly due to the high costs of making the shift to EVs. Certainly, it’s difficult to imagine that any EV will ever yield the prodigious profits of a vehicle like Ford’s F-150 pickup, which has been called the most profitable consumer product in history.
However, McKinsey believes that, if automakers heed its sage advice and take the aforementioned four EV design steps into consideration, they should be able to reduce the higher manufacturing costs of EVs and find their way to a positive mass-market business case. An era of profitable mass-market EVs could be on the horizon, and that would be good news for consumers, the environment – and forward-looking automakers that are willing to take some risks and embrace change.
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Note: Article originally published on evannex.com by Charles Morris; Source: McKinsey / A2Mac1
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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.
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.
We made rockets reusable and are rebuilding the internet in space. The next challenge: making life multiplanetary and understanding the true nature of the universe
Watch @ElonMusk deliver a company update to @SpaceX employees pic.twitter.com/5c8rxoCQfu
— SpaceX (@SpaceX) August 11, 2026
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.
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.
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.
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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.
Tesla CEO Elon Musk says flying cars are coming
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
