News
Elon Musk spoke with Consumer Reports following Tesla Model 3 test results
In a recent episode of Consumer Reports’ Talking Cars, Auto Test Director Jake Fisher recounted a conversation he had with Tesla CEO Elon Musk following the release of CR’s test results for the Model 3.
While the magazine stated that there was “plenty to like” about the electric car, such as its excellent range and handling, there were several aspects of the vehicle that left much to be desired. The most prominent of the Model 3’s shortcomings were the car’s brakes, which had an average stopping distance of 152 feet from 60-0 mph — longer than any vehicle in its class. Due to its shortcomings, Consumer Reports opted not to give the Model 3 a “Recommended” rating.
Musk promptly responded to the magazine’s findings on Twitter, stating that Tesla would address the Model 3’s braking issues in an over-the-air firmware update. Musk also pledged to continuously improve the Model 3’s brakes, saying that “Tesla won’t stop until Model 3 has better braking than any remotely comparable car.”
As revealed in Consumer Reports’ recent Talking Cars episode, Musk also reached out to Auto Test Director Jake Fisher after the magazine’s test results were published. During their conversation, Musk and Fisher discussed the Model 3 and possible improvements to the vehicle.
“He was remarkably candid about things. Honestly, he actually thanked us for bringing these things to attention, and said that we’re helping him make the car better,” Fisher said.
Fisher noted that he and Musk talked about several of the Model 3’s deficiencies, such as its controls, brakes, wind noise, rear seats, and its suspension. According to the CR Auto Test Director, Musk stated that Tesla has implemented improvements to the Model 3’s design over the past few months.
During the March-April timeframe, for one, Tesla rolled out changes to the Model 3’s glass to adjust wind noise in the cabin. Around the same time, Tesla also made modifications to the suspension, such as its shock absorbers, to make the ride more comfortable.
-
Musk discussed the controls of the Model 3 as well, a particular aspect of the vehicle that was considered as a weakness in Consumer Reports’ evaluation. According to Fisher, Musk threw out some ideas to make the car’s controls better.
“We talked about the vents, and he talked about ideas of, well, maybe as you move the seat, (the Model 3) would automatically adjust the vents and the mirrors to suit you,” Fisher said.
Consumer Reports recently published the results of its tests for the Model 3. [Credit: Consumer Reports/YouTube]
Musk also discussed another one of Consumer Reports’ complaints about the Model 3 — the car’s keycard. During its testing, the magazine noted that the phone key worked very well with the Model 3, but using the keycard proved cumbersome. Musk addressed this issue during his phone conversation with Fisher as well.
“He (Musk) admitted that yeah, this isn’t working too well, and we really should do something better. Again, I don’t know if they’re gonna do it or not, but he said we really need to provide a normal key to the customers of this car,” Fisher said.
The Model 3’s keycard stands as one of its differences with its larger siblings, the Model S and the Model X, both of which use Tesla’s ubiquitous electric car-shaped key fobs. The keycard, which is credit card-sized for easy storing in a wallet, is embedded with a small chip that acts as a digital signature for the vehicle.
Since the Model 3 keycard uses near field communication (NFC) technology, the card has a limited transmission range of about 4 inches, requiring owners to tap the electric car’s B-pillar to unlock the door. The card is also placed between the front seats of the vehicle to start the car.
Consumer Reports has been mixed with Tesla’s vehicles so far. The magazine dubbed the Model S as the best car it ever tested. The Model X, on the other hand, was dubbed by CR “fast and flawed,” citing the overcomplicated Falcon Wing Doors of the all-electric luxury SUV. Despite its reservations with the Model X, however, Consumer Reports nevertheless ranked Tesla as the sole American automaker in its Top 10 list for 2018.
Watch Consumer Reports’ recent episode on the Tesla Model 3 in the video below.
-
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
-
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.”
-
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.
-
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.
-
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.
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Tesla has one big financial question to answer for investors: Morgan Stanley
