Investor's Corner
General Motors emphasizing faster electric vehicle launches after positive 2021 earnings
General Motors (NYSE: GM) is gearing up for a major shift in 2022 thanks to its evolving electric vehicle program, planning for record profit levels that could surge the company into a more well-rounded placement in an increasingly competitive sector. The automaker is preparing for faster vehicle launches, according to CEO Mary Barra, who said more models would come to the market at a quicker pace. GM reported its Earnings for Q4 and its guidance for 2022 last night, sharing expansive details for the coming years, including new models, production plans and start dates, and more information regarding GM’s Cruise investment.
In general terms, General Motors reported a strong Q4 and Full Year 2021 in terms of financials. GM’s 2021 full-year earnings included a net income of $10.019 billion, a net income margin of 7.9 percent, and revenue of over $127 billion, a $4.5 billion increase from 2020. For Q4, GM had a weaker quarter than it did in the same period in 2020. The company reported $33.584 billion in revenue for Q4 ’21, which is nearly $4 billion less than Q4 ’20. Net income also decreased, but the full-year figures and profits undoubtedly outshine the losses for the quarter.
“For the full year, we generated $127 billion in revenue, $14.3 billion in EBIT-adjusted, 11.3% EBIT-adjusted margin, $7.07 in EPS diluted adjusted, and $2.6 billion in adjusted automotive free cash flow,” GM CFO Paul Jacobson said. “In the fourth quarter, we generated $34 billion in revenue, $2.8 billion in EBIT-adjusted, 8.5% EBIT-adjusted margin, $1.35 in EPS diluted adjusted, and $6.4 billion in adjusted automotive free cash flow. Free cash flow in the quarter was largely driven by working capital rewind as we were able to complete and wholesale over 80,000 vehicles that had previously been built without certain components, as well as dividends from GM Financial.”
GM’s Earnings Call was the highlight of the evening as it shed new light on the automaker’s planned expansion of its electric vehicle lineup. “We also recognize that we need to launch more EVs faster,” CEO Mary Barra said during the call. GM plans to launch deliveries of the Cadillac LYRIQ in “less than 60 days.” The LYRIQ will join the GMC Hummer EV, which recently started deliveries, as GM’s two newest electric vehicles for consumer use. In the commercial sector, GM said that production of the BrightDrop EV600 will begin late this year at the company’s CAMI Assembly Plant in Ontario, Canada. The automaker said that the site currently has a production capacity of 30,000 vehicles and should be doubled by mid-decade.
GMC Hummer EV sports its massive size alongside full-size SUV
GM said that the Silverado, Equinox, and Blazer EVs will all begin deliveries in 2023. The three vehicles will contribute to GM’s plan to deliver 400,000 EVs in North America in 2022 and 2023. These plans are supplemented by battery cell and assembly capacity investments in Michigan, which were recently announced. These new facilities “will give [GM] more than 1 million units of EV capacity in North America by the end of 2025, and this includes 600,000 full-size trucks,” Barra added.
Interestingly, Barra held high regard for Cruise, a fully-autonomous ride-sharing company with investors such as GM, Honda, Softbank, Microsoft, and Walmart. Barra said that riding in a Cruise vehicle a couple of weeks ago was “the highlight of my career as an engineer and as the leader of General Motors.”
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“It’s like having an experienced and attentive driver behind the wheel,” Barra said. “Now, as Cruise announced this morning, it is inviting members of the public to sign up for their own driverless rides through a waitlist on the Cruise website. This is the first truly driverless ride-hail service offered to members of the public in a dense urban environment. To maximize its learnings, Cruise will prioritize use cases that are a natural fit for autonomous ride-sharing.”
Barra believes that the first paid rides for Cruise could generate $50 billion by the end of the 2020s.
Semiconductor Forecast
“We saw improved semiconductor availability in the fourth quarter compared to the third quarter, which enabled us to increase our wholesale sequentially while substantially reducing our inventory of vehicles built without certain components,” Jacobson added. GM expects semiconductor availability to improve throughout 2022, reporting that the company has seen stabilization in the semiconductor environment. This leads GM to believe that it can reach a “normalized run rate toward the beginning of the third quarter [2022] with a target of around 800,000 units in North America on a quarterly basis.” This figure includes GM’s combustion engine vehicles.
Questions from Deutsche Bank analyst Emmanuel Rosner prompted Barra and other GM executives to give more information regarding their opinions of the semiconductor shortage and when it could begin to subside. Barra believes that, by the time Q3 and Q4 2022 roll around, “we’re going to be really starting to see the semiconductor constraints diminish.”
Analyst synopsis
GM’s Earnings Call was strong, giving investors more to be excited about in the way of its EV project and ability to avoid semiconductor issues. “We are big believers in the GM EV strategy as it’s all about converting 10%-15% of its customers to EVs by 2025 with 30 new EV models,” Wedbush analyst Dan Ives told us. “There are clear challenges, however, with massive resources dedicated towards EVs, we view this as the right move at the right time for Barra & Co.” In terms of keeping up with competitors, namely industry leader Tesla, Ives believes battery tech and GM’s exclusive Ultium platform is the roadmap to success for the Detroit company. “Ultium is the foundational piece of GM’s battery strategy and key to keep up in this EV arms race with Tesla leading the charge,” Ives added.
Ives has a “Buy” rating on GM stock with an $85 price target. Ives is ranked 59 out of 7,776 analysts on TipRanks.
GM shares were down 3.43 percent at the time of writing, trading at $52.22 per share.
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Disclosure: Joey Klender is not a GM Shareholder.
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Quotes provided by the Motley Fool.
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.
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