News
Tesla’s date-specific releases are spelling trouble for competing car companies
Tesla continues to release the newest and most exciting features in automotive technology on what seems like a daily basis. Recently, CEO Elon Musk has dropped several exciting developments dealing with manufacturing, battery technology, or Self-Driving functionality, all pointing toward the beginning of the end of the internal combustion engine industry. With every strategically-timed feature that Tesla releases, the ICE industry suffers another hit, making the numerous manufacturers that have been around for nearly a century rethink their strategies for the future as consumers look for new technology in cars. Tesla has established itself as the leader in moving the automotive industry forward.
Just last week, Musk stated on Twitter that Tesla would be releasing a “zero-intervention” version of the FSD suite, allowing owners to have their cars drive to destinations with no real responsibilities being left on the driver.
Musk confirmed the exact date of release earlier this morning, saying that the feature will be subject to a “limited FSD beta” on October 20th. The release date is “as promised,” as last week, the CEO indicated that it would be released “in a few weeks.”
Limited FSD beta releasing on Tuesday next week, as promised. This will, at first, be limited to a small number of people who are expert & careful drivers.
— Elon Musk (@elonmusk) October 12, 2020
Tesla has been fairly accurate with its timeframes in terms of releasing new technology to owners. However, there have been a few times in the past where the company has released something a few days, weeks, or months past the announced date. Usually, delays come down to whether the feature or functionality is ready for public use. When it comes to self-driving or semi-autonomous driving features, mistakes must be minimal. Tesla has to be sure that all bases are covered before releasing even a new characteristic’s limited-version.
-
Without performing the proper due-diligence, Tesla could be set back for months or even years. The company must continue to use its strive for perfection to its advantage. But now, Tesla is becoming more accurate with its timeframes, which spells significant amounts of trouble for other carmakers.
When the Full Self-Driving suite was aimed at a “feature complete” release toward the end of last year, many enthusiasts knew it would be tough for Tesla to complete this task. After the goal was not met, Musk indicated that Tesla would continue to work on the FSD suite and would release new features intermittently. Tesla did just this.
One of the most relevant examples of this is the Traffic Light and Stop Sign Control feature that became available in April 2020. When initially released, it required users to confirm that an intersection was safe for navigation by confirming it through the driving stalk. In June, Tesla removed the need for driver confirmation, allowing cars to navigate through intersections without driver intervention.
Tesla has kept its word with releasing features. However, what has been missing is an accurate timeframe, which has kept owners guessing about which features will be available at what times. But, Tesla is improving with this and is becoming more deliberate with keeping up with goals.
With more predictable release dates, Tesla becomes significantly more dangerous to legacy and ICE automotive companies. Knowing exactly when features will be ready and when the public will have the opportunity to experience them is effectively Tesla digging the six-foot deep hole where ICE car companies will lie within a few years. It means Tesla is developing functionalities in a timely fashion with accuracy and confidence.
Even though the feature is not a wide-release, FSD features rarely are. They often start with Tesla employees, and then roll out to members of the company’s “Early Access Program.” After the bugs and kinks, if there are any, are modified, then the wide-release begins.
As Tesla continues to raise the bar in semi-autonomous driving, electric vehicle technology, and EV battery functionality, it is evident that soon, there will be no more advantages to driving a car that is powered by gas. While fun for some, driving is a chore for others, and FSD will give those who are forced to travel the opportunity to have cars drive themselves.
-
The big picture of Tesla is narrowing down specific release dates for features is that their approach is becoming more calculated, defined, and precise. All of which are a disaster for traditional car companies who are still lagging in EV development and Advanced Driver Assistance features. Tesla is pulling away, not only literally, but metaphorically, as well.
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.
Tesla headlights have caused a recall of over 20,000 of the company’s two most popular vehicles, the Model 3 and Model Y, due to the low-beam bulb exceeding the maximum allowed intensity according to federal standards.
Tesla initiated the recall with the National Highway Traffic Safety Administration (NHTSA) this morning, stating that the low-beam output “exceeds the maximum allowed intensity in the outer upper-right and outer upper-left areas of the 10U and 90U zone, as prescribed in FMVSS No. 108.”
Tesla sourced the impacted headlights from Marelli Automotive Lighting, a Mexico-based company. The recall impacts 2020-2023 Model Y vehicles and 2017-2023 Model 3 vehicles. It is estimated that every VIN in this recall is impacted by the defect.
🚨 Tesla is recalling 20,349 2020-23 Model Y vehicles and 2017-23 Model 3 vehicles due to an excessively bright headlamp low beam.
Currently, there is no remedy plan in place, as it is still being developed. pic.twitter.com/y34cIO2U0B
— TESLARATI (@Teslarati) August 11, 2026
Typically, Tesla would remedy recalls of this nature through an Over-the-Air software update, which has been a major focus of criticism by the company and its supporters because the NHTSA still refers to it as a “recall,” even though it requires no action by the vehicle owner. The fix is shipped over the internet and downloaded to the car.
-
However, there appears to be a potentially different solution for this problem. Tesla has not developed a remedy for this issue, so it could potentially be on the way. The big issue appears to be the fact that these recalled lamps are out of production, and this is an old body style for both vehicles. The headlights and front-end designs are completely different.
Tesla switched to another supplier when the affected headlight design was discontinued. It plans to begin notifying owners of their remedy options by September 15.
Tesla filed a petition protesting the recall to fix the vehicles’ headlight issue, but the NHTSA denied it. Now, Tesla will come up with a solution to fix it.
Tesla has one big financial question to answer for investors: Morgan Stanley
SpaceX AI investment gamble will make it a big winner, firm says
