News
What cars did Elon Musk drive before Tesla?
Musk’s first car was a 1978 BMW 320i that he bought in 1994 for $1,400. It was a fixer upper according to the now Tesla CEO which he drove for two years. One day, he loaned it to a colleague who phoned a short time later to say one of the wheels had literally fallen off the car, leaving a deep gouge in the pavement. Musk junked the car.
The next car would be a 1967 Series I Jaguar XK-E inspired by a book on exotic cars which he received as a present at 17 years of age. The Jaguar caught his eye and he promised himself that one day he would buy one as soon as he could afford to. He and his brother Kimbal Musk had co-founded their first company called Zip2 at the time. When Musk received his first dividend check for $40,000 from the company, sure enough it went straight to buying a Jaguar. And why not? Enzo Ferrari once proclaimed the XX-E the most beautiful production car ever made.
“That one was like a bad girlfriend. It kept breaking down on me and causing me all sorts of trouble”, Musk once said.
Soon after, Elon would be catapulted to Silicon Valley stardom after cashing out of PayPal. What followed would be the purchase of the ultimate tech entrepreneur status symbol, the McLaren F1. “I had it for several years and I put 11,000 miles on it and I drove it from LA to San Francisco. I had it as a daily driver,” Musk said in a interview with Pando Daily.
He would ultimately total the McLaren one day while driving with serial investor Peter Thiel to go chat up Michael Moritz, a venture capitalist with Sequoia Capital. “Peter said ‘so what can this do’ and like probably number one on the list of famous last words I said ‘watch this.’ So I floored it and did a lane change on Sand Hill,” a road in Menlo Park. In a heartbeat, the car went up an embankment, landed on its roof and tore all four wheels off the car. The F1 was a total loss. To make matters worse, the million dollar F1 wasn’t insured.

Image credit: YouTube/Beijing Satellite TV via Business Insider
Following the purchases of a BMW M5 in 2007 and a Porsche 911 in 2012, the Tesla CEO would also buy the famous Lotus Esprit S1 used in the movie The Spy Who Loved Me. This would become the inspiration to Tesla’s James Bond easter egg found in the Model S and Model X.
Musk bought the movie prop in 2013 at an auction in London for $886,000. “It was amazing as a little kid in South Africa to watch James Bond in ‘The Spy Who Loved Me’ drive his Lotus Esprit off a pier, press a button and have it transform into a submarine underwater,” he told the Huffington Post.
“I was disappointed to learn that it can’t actually transform. What I’m going to do is upgrade it with a Tesla electric powertrain and try to make it transform for real,” he says. This would explain Elon’s tweet after a video surfaced showing a Model S driving through a flooded tunnel.
However, the car that most directly influenced an actual Tesla automobile is the Audi Q7 SUV that Musk owns in present day. It was the inspiration for the falcon wing doors on the Model X. Musk says he wanted to make a car with doors that could open in tight spaces. He also wanted to be able to access the third row seats without folding the second row seats forward.
“The Audi Q7 is particularly horrendous,” he told Forbes during an interview in 2012. “Even in the best case scenario, you need to be a dwarf mountain climber to get into the back seat.”

Image credit: Audi
That makes a total of 7 cars Elon Musk has owned and every one of them has been performance oriented. Maybe that’s where the fascination with Teslas that can scoot to 60 mph in under 3 seconds comes from.
Source: Business Insider
Investor's Corner
Tesla Q2 Earnings: Here’s what to expect
Tesla (NASDAQ: TSLA) will report its earnings for the second quarter of 2026 this evening after market close, and investors and analysts are waiting anxiously to see what the company will report for the second three-month span of the year.
Analysts have already put out their expectations from a financial standpoint for the company’s second quarter, but what’s unknown is what Tesla plans to discuss during the call.
Financial Expectations
Wall Street consensus expectations put Tesla’s Earnings Per Share (EPS) at $0.53, while revenues are expected to come in around $26.4 billion.
This would compare to an EPS of $0.39 and $22.19 billion compared to Tesla’s Q2 2025. Last quarter, EPS came in at $0.41 on $22.387 billion of revenue. Additionally in Q1, Tesla beat analyst expectations, but shares dropped over 3 percent the following trading day.
What We Expect
In terms of discussions, Tesla earnings are pretty sporadic and depend on a handful of things, including current events, investor questions, and more.
Tesla uses a platform called Say to field questions from investors and analysts. These questions are what will be used during the call. Here are the top 5 from the Retail side and top 3 from the Institutional side:
Retail:
“Tesla has missed short-term guidance on robotaxi 3 earnings reports in a row, from 50% coverage of USA by end of 2025 to most recently 7 new cities in 1H26. What is keeping Tesla back from accomplishing these short term goals that they’ve set for themselves?”
“What are the main constraints to expanding robotaxi operations faster, and how do you see that lining up with Cybercab production?”
“What’s the current status of Optimus Gen 3 production ramp, initial deployment in factories, and external sales timeline/volume for 2027? What tasks can we expect the Optimus to perform by end of 2027?”
“To reward long-term Tesla retail shareholders for their loyalty, can you commit to achieving at least half of the goals outlined in your 2025 compensation plan before considering any offers to acquire or merge Tesla?”
“Why has growth of robotaxi vehicles stalled? When will we see cybercab start customer rides?”
Institutional
“Previously, you’ve said Tesla would lead the R&D while SpaceX would lead production for Terafab. Can you provide an update on how that division of responsibilities is evolving, and any additional clarity on the expected capital contributions from Tesla and SpaceX?”
“For autonomous driving, Tesla’s fleet created a huge data advantage by collecting billions of real-world miles. That advantage doesn’t yet exist for Optimus. How should we think about data availability and its impact on Optimus development?”
“Why is it necessary to limit robotaxi operations within specific zones within cities to start? Will every city have to be rolled out this way?”
Tesla will report earnings for Q2 this evening with the Shareholder Deck at 4 p.m. ET, with the call starting around 5:30 p.m. ET.
Elon Musk
Elon Musk handed Grok something no other AI company can get their hands on
Elon Musk says SpaceX will feed engineering data into Grok’s next model, avoiding restricted material.
Elon Musk said Tuesday that SpaceX will feed its internal engineering data into the next major training run for Grok, the AI model now folded into SpaceX following February’s merger. In a post on X, Musk wrote that SpaceX’s “massive corpus of world-class engineering data,” excluding anything restricted under U.S. arms export law, will be added during supplemental training of what he called the “2T run,” a reference to a roughly two trillion parameter model that would nearly double the parameters behind the latest Grok 4.5 that’s rolling out.
SpaceX’s massive corpus of world-class engineering data (excluding material blocked by ITAR) will be added during supplemental training of the 2T run.
This will dramatically improve Grok’s engineering capabilities. https://t.co/BbQEViFByn
— Elon Musk (@elonmusk) July 21, 2026
The excluded material that Musk is referring to would fall under the International Traffic in Arms Regulations (ITAR), which restricts export of technical data tied to defense and space hardware. That likely rules out propulsion specifics for Merlin and Raptor engines along with guidance and control details for SpaceX’s launch vehicles, but leaves manufacturing knowledge, materials science, and Starlink hardware design on the table.
The announcement extends a pattern that has been building since SpaceX’s Nasdaq debut in June, when the company went public with Grok and xAI’s Colossus supercomputer folded into the pitch to investors.
Days after that listing, SpaceX closed its $60 billion all stock acquisition of coding startup Cursor, giving xAI both enterprise software distribution and a stream of real world developer data to train on. Grok 4.5 launched July 8 running partly on that Cursor training data, with Musk describing it as roughly comparable to Anthropic’s Opus 4.7 but faster and cheaper to run.
Feeding SpaceX’s own engineering data into the next AI model follows the same logic Musk has applied across xAI’s sister companies. Tesla supplies real world driving data and manufacturing expertise, X supplies conversational data, and now SpaceX supplies aerospace engineering data built up since 2002.
Musk did not give a release date for the upcoming AI model, referred to elsewhere as Grok 4.6. He has said the two trillion parameter run is in its final training phase and expected to wrap this week.
News
Tesla expands ridesharing service in California to new hotspot
Tesla has extended its Bay Area ride-hailing service to include pickups and drop-offs at San Francisco International Airport (SFO). The update, shared via the company’s official channels on July 21, allows users in the region to request rides directly to and from one of California’s busiest airports.
The expansion builds on Tesla’s secured limousine permit for SFO operations. Public records show the permit became effective March 20, 2026, and remains active through January 31, 2027. Tesla vehicles operating the service now display authorized limousine permits issued by the City and County of San Francisco.
Our Bay Area rideshare service now goes to SFO ✈️
— Tesla AI (@Tesla_AI) July 21, 2026
Tesla’s ride-hailing program in California relies on Model Y vehicles equipped with Full Self-Driving (Supervised) technology. Human safety drivers remain present in compliance with state regulations, distinguishing the service from fully driverless operations.
The Bay Area geofence covers a broad area spanning north of San Francisco to south of San Jose, offering extensive connectivity across the region.
UPDATE: Elon Musk reveals why Tesla didn’t say ‘Robotaxi’ upon California launch
This SFO addition follows earlier progress at other Bay Area airports. Tesla previously expanded service to San Jose Mineta International Airport (SJC) in late 2025. The company had engaged with SFO, SJC, and Oakland International Airport officials as early as September 2025 to secure necessary approvals for passenger transport.
The service provides a new option for travelers seeking electric, app-based transportation integrated with Tesla’s ecosystem. Rides are booked through Tesla’s dedicated ride-hailing application, which handles matching, routing, and payments. Pricing follows standard ride-hailing models, with potential adjustments based on distance, time, and demand.
Tesla’s California ride-hailing program launched in July 2025 with an initial invite-only rollout in the Bay Area. It started alongside operations in Austin, Texas, marking the company’s second major U.S. market.
The Bay Area remains a primary focus in California, with service centered on high-demand corridors connecting residential, commercial, and now major transportation hubs. This latest airport integration represents a practical step in Tesla’s broader mobility ambitions within the state.

