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Tesla Model 3 vs BMW i4: How hubris is killing a potential ‘Tesla Killer’
Recently, BMW took the wraps off yet another one of its concept electric vehicles, the i4 sedan. The BMW i4 is poised to rival the Tesla Model 3, an electric car that is so disruptive, it is shaking up the midsize high-performance sedan market. Unfortunately for the German carmaker, one has to wonder if BMW’s efforts with the i4 are simply far too late.
Behind the possible clash between the Tesla Model 3 and the BMW i4 is a history that spans years, all the way back to 2013, when Tesla was just starting the production of its flagship Model S and the German automaker was coming up with the i3. But despite the two vehicles being all-electric cars, they could not be any more different.
Tesla designed the Model S as a sedan that can take on the Mercedes-Benz S-Class, and it has the looks, range, and performance to match. BMW, on the other hand, designed the i3 like a novelty vehicle, with a carbon fiber body, limited range, and performance that’s at home in inner-city streets. This distinction between the Model S and i3 foreshadowed the future of the two companies’ electric vehicle programs, as Tesla would follow up on the Model S with the Model X and Model 3, and BMW would end up being stuck with the i3 until today.
Yet despite having just one key pure electric car in its lineup, BMW has put a lot of effort in convincing the auto industry that it is taking electric vehicles seriously. Concept after concept was unveiled to much fanfare, but so far, none of the company’s fancy vehicles like the iNext have a legitimate release date. While this was happening, Tesla was growing, refining its processes, and making its vehicles like the Model 3 even better.
The Model 3 may not be the quickest vehicle in Tesla’s lineup, but it is the most disruptive. Priced aggressively and designed to take on the most established premium midsized sedans like the BMW 3-Series and the Mercedes-Benz C-Class, the Model 3 was poised to make waves, and make waves it did. The Model 3 Performance, the most powerful of the lineup, even managed to beat the legendary BMW M3 on the track, hands down. The idea of an electric sedan outperforming the M3 on the track would have probably warranted mockery had it been suggested during the days of the Model S and i3, but it is a painful truth that the German automaker has to swallow now.
It was not long before it was evident that the i3 won’t be enough to take on vehicles like the Model S or Model 3. Yet, BMW seemed to still take its sweet time developing its electric cars, with some executives even adopting the narrative that there is not enough demand for pure EVs anyway. It is then unsurprising that today, Tesla’s lead in electric mobility has become so stark, it is almost embarrassing for some legacy automakers like BMW.
When BMW announced the unveiling of its i4 concept on Twitter, the electric vehicle community immediately poked fun at the automaker for showing off yet another concept car. The car had impressive specs, though, with BMW stating that the i4’s single motor will generate about 530 hp, about on par with one of the automaker’s V8 engines. The i4 is pretty quick too, with a 0-62 mph time of about 4 seconds. Range-wise, estimates point to the i4 having about 270 miles in between charges.
While these specs are decent and a notable improvement over the i3, the i4 does show several signs suggesting that BMW is still not going all-in on electric cars. A look at the vehicle’s exterior alone shows that the i4 is still designed like a conventional car, with a long sloping hood that lacks any sort of frunk due to the space being allotted for electronics. Overall, the i4 boasts an attractive design that would likely end up being a template for the next-generation BMW 3-Series, but a ground-up EV it does not seem to be.
And here lies the issue with BMW so far. It appears that even after years of the i3 never really taking off, the company is still under the impression that it can ride the EV wave with a car that is just adequate in features and performance. Considering BMW’s long history as an automaker, such appears to be a big sign of hubris. And at this point in the EV race, that could be very costly.
BMW is one of three prolific auto houses in Germany, and so far, it is the one that seems to be lagging behind the most when it comes to electric vehicles. Daimler may be seeing challenges with the Mercedes-Benz EQC, but the company has some fallback in the company’s electric trucks like the Freightliner eCascadia, which only has a few rivals like the Tesla Semi.
Volkswagen has adopted a very aggressive strategy with its EV push. So serious is VW with its electric cars that the company’s CEO, Herbert Diess, is pretty much putting his career on the line to ensure that the automaker can roll out a mass-produced vehicle like the ID.3, a car that has the potential to be this generation’s Beetle. And then there’s BMW, still with its concepts, and a Model 3 competitor that is still over a year away at the best case scenario.
The term “Tesla Killer” has become ubiquitous with the number of electric cars that are being developed by legacy automakers. Yet over the years, each and every one of these alleged killers, from the Chevy Bolt to the Jaguar I-PACE, have proven to be incapable of outgunning Tesla’s electric cars in their own game. For the i4 to be a legitimate rival to the Model 3, it must beat Tesla with not just its badge’s pedigree. Otherwise, BMW may end up killing its “Tesla Killer” even before it had a chance to compete, thanks to an EV effort that is uninspired at best.
Tesla has finally clarified the situation regarding the viral crash in Texas where a Model 3 slammed into a home.
CEO Elon Musk replied to reports on Monday that stated the crash was due to the company’s Full Self-Driving or Autopilot suite, which seemed unlikely to those who are familiar with it. Video showed the car slamming into a house at an excessive rate of speed, making it highly unlikely the crash was due to the suite’s operation, as it does not travel at those speeds in residential areas.
Musk said:
“This makes no sense. FSD drives slowly through neighborhood streets, and this was a high-speed crash!”
Tesla’s Head of AI, Ashok Elluswamy, added context, revealing that the company’s data shows the driver “manually overrode self-driving by pressing the accelerator all the way to 100%.”
He revealed the speed reached by the car was 73 MPH, and the accelerator was still pressed “even after the crash.”
Yup. In this case, the driver manually overrode self-driving by pressing the accelerator all the way to 100% of the accel pedal in this residential area. They reached a speed of 73 mph during the crash, and had the accelerator pressed even after the crash.
— Ashok Elluswamy (@aelluswamy) June 22, 2026
Authorities are reportedly investigating “whether Tesla’s Autopilot system played a role after a Model 3 left the roadway…slammed through a brick house at high speed and fatally struck Matha Avila as she sat inside,” the New York Post reported.
The National Highway Traffic Safety Administration (NHTSA) is now investigating the crash. Tesla will work with the agency to provide them with whatever information they need in order to clarify the cause of the crash.
Similarly, Tesla had claims of a fatal accident in Harris County, Texas, a few years ago. Early reports indicated that Full Self-Driving was the cause of the crash. After the National Transportation Safety Board (NTSB) worked with Tesla, the agency proved there was “no use of the Autopilot system at any time during this ownership period of the vehicle, including the time frame up to the last transmitted timestamp on April 17, 2021.”
Tesla alleged “driverless” crash in Texas: What is known so far
“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws have default speed limits of 30 MPH in residential streets.
This appears to be a similar situation. However, an investigation will prove what happened for sure.
SpaceX announced today that it commenced its first-ever public bond offering, marking a significant step in the newly public company’s capital markets strategy.
The company announced an offering of senior unsecured notes expected to raise at least $20 billion.
The move comes just a short time after SpaceX completed one of the largest initial public offerings in history. In mid-June, the company priced shares at $135 and raised more than $85 billion, propelling founder Elon Musk’s net worth past the trillion-dollar mark and giving the firm substantial liquidity.
🚨 SpaceX has announced its inaugural offering of senior unsecured notes.
The net proceeds will be used to repay outstanding loans under its bridge loan facility in full.
This inaugural debt offering represents a financing milestone for SpaceX, which previously depended… pic.twitter.com/pcOZuVbTRv
— TESLARATI (@Teslarati) June 22, 2026
According to the company’s SEC filing, the net proceeds from the notes will be used primarily to repay in full the outstanding borrowings under its existing bridge loan facility, cover related fees and expenses, and fund general corporate purposes. The offering is being conducted under Rule 144A, as well as Regulation S, targeting qualified institutional buyers and non-U.S. investors. Notes will be unsecured obligations ranking equally with other unsubordinated debt.
The $20 billion bridge loan was used to refinance approximately $17.5 billion in higher-cost “junk” debt tied to X and xAI. SpaceX had merged with xAI in February 2026 in an all-stock deal. The bridge facility, which matures in September 2027, had represented the bulk of SpaceX’s long-term debt.
SpaceX officially acquires xAI, merging rockets with AI expertise
In connection with the bond launch, SpaceX disclosed it held approximately $100.8 billion in cash and cash equivalents as of June 19. Investor calls began on the announcement date, with pricing and launch expected shortly thereafter. Rating agencies have assigned investment-grade ratings to the proposed bonds, reflecting confidence in SpaceX’s dominant position in commercial launches and the growth trajectory of its Starlink internet offering.
The debt raise also allows SpaceX to optimize its balance sheet by replacing short-term, higher-cost bridge financing with longer-date, lower-cost fixed-income securities. This provides greater financial flexibility to support capital-intensive initiatives, including the development of Starship, the expansion of the Starlink constellation, and the integration of AI capabilities following the xAI combination.
SpaceX shares (NASDAQ: SPCX) fell sharply on the news, dropping over 16 percent overall on the market on Monday. The stock had surged initially after debuting but pulled back amid profit-taking and broader market dynamics.
Overall, the bond offering underscores SpaceX’s transition to a mature public company with access to diverse funding sources. It positions the firm to pursue its long-term vision of multiplanetary expansion and AI infrastructure, while maintaining a disciplined approach to its capital structure in a high-growth but capital-heavy industry.
SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Mississippi.
Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.
CNBC first reported the deal.
🚨 SpaceXAI has agreed to a new compute deal with Reflection AI.
Reflection gets access to NIVIDIA GB300s, and will pay $150M per month to SpaceXAI for the compute. pic.twitter.com/bNPare8U5u
— TESLARATI (@Teslarati) June 22, 2026
This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.
SpaceX has previously signed significant compute deals with other major players.
It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.
Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.
SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.
These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.
Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.
The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.
For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
SpaceX makes $20 billion move to optimize its balance sheet
