Investor's Corner
Tesla explains oversight on Model 3 production line automation
Following consistent delays in Model 3 production, Tesla is attempting to fine-tune their automation strategy to solve production bottlenecks. As noted in Tesla’s Q1 Earnings Report, the company is currently producing 2,270 Model 3’s per week, less than half of the 5,000/week goal they set for the end of June.
Even after Tesla CEO Elon Musk stated that humans were “underrated” and that “excessive automation at Tesla was a mistake,” Tesla is largely crediting quality improvements to their highly-automated production.
“We are already seeing many benefits from heavily increasing automation as part of the Model 3 production process. Through the vast majority of Model 3 production, including in body welding, general assembly, inverter and drive unit production, our automation effort has been very successful. Based on every measurable metric, Model 3 is already the highest quality vehicle we have ever produced, and this is unquestionably due in large part to automation,” Tesla stated in their Q1 Update Letter.
Despite early success with a large amount of the Model 3’s automated production line, Tesla is dialing back some of the processes. The company stated, “In those select areas where we have had challenges ramping fully automated processes, such as portions of the battery module line, part of the material flow system, and two steps of general assembly, we have temporarily dialed back automation and introduced certain semi-automated or manual processes while we work to eventually have full automation take back over.”
"Vast majority of production system is automated… but we went too far and automated some pretty silly things" Silliest item? "Basically placement 'fluff' on the top of the battery pack was automated with a 'fluff machine'" Super complex, used a vision system $TSLA @Teslarati
— Christian Prenzler (@clprenz) May 2, 2018
7 Hours to make a pack 3 weeks ago, now is 17 minutes – @elonmusk
We are slightly ahead in battery cell and module production, general assembly area is the source of some production delays. $TSLA @Teslarati— Christian Prenzler (@clprenz) May 2, 2018
Model 3 Simplified by Design
Tesla isn’t only banking on automated processes to ramp up production of the Model 3. The company also highlighted that the vehicle was designed to be easily mass-produced. Tesla stated that the vehicle’s assembly line consists of 70% less steps compared to traditional assembly lines.
The Model 3’s assembly line has 50 different steps and the vehicle is built on a singular body frame. By comparison, the Model S has over 80 different body frames. Tesla also cited that the vehicle has lighter wiring and fewer controllers, connectors, and CPUs compared to ‘average vehicles’.
As a result of the Model 3’s simplified design and highly-automated production line, Tesla expects the vehicle to carry a 25% gross margin, much higher than its peers.
“All these elements are rooted in design and critical not only to our ability to reach higher levels of output in a smaller amount of factory space but also to achieve lower levels of
cost,” Tesla stated.
It’s expected that Tesla will optimize the level of automation on the Model 3 line following a planned 10-day shutdown in production in the second quarter. With more people involved in vehicle production, Tesla can dynamically adjust overtime hours and staffing levels to meet line goals.
Investor's Corner
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a massive beat on vehicle deliveries for the second quarter, delivering 489,126 vehicles and building 451,758 cars during the three-month span.
This was a major shock for those on Wall Street as they anticipated somewhere around 400,000 deliveries for the quarter, and showed Tesla still has plenty of demand for its vehicles around the world and in the U.S. despite losing the $7,500 EV Tax Credit last year.
Tesla Q2 2026 Earnings Results
- Non-GAAP EPS – $0.33 reported vs. $0.53 expected
- Revenues – $28.236 billion reported vs. $26.4 billion expected
- Free Cash Flow- -$1.092B
- Profit -$ 4.751B
Tesla (beat/missed) analyst expectations, so the market response to the company’s quarter is what we will look for next.
Tesla shares closed today down just over 1 percent, trading at $374.01.
In the past, it has been anyone’s guess with what Tesla shares will do after they report earnings. Strong quarters have resulted in sharp drops, while lackluster quarters have seen the stock shoot up considerably.
Tesla will hold its Q2 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q2 2026 Earnings Call https://t.co/zZS6ii2TWK
— Tesla (@Tesla) July 22, 2026
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.
