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Tesla posts ‘first positive surprise of year’ as Morgan Stanley breaks down Q2

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Tesla posted what Morgan Stanley called its “first positive surprise of the year” as it beat delivery expectations for Q2 by around 6,000 units.

On Tuesday, Tesla reported its quarterly deliveries at 443,956, beating what Wall Street expected with its consensus figures at 438,019.

Tesla reports Q2 delivery and production figures, beating estimates

The beat was a big step in the right direction for Tesla, which has struggled to post any positive news so far in 2024 in terms of the grand scale. The automaker has struggled with growth, an expected bottleneck in its trek for EV sector domination as it finds itself in between two growth periods.

However, the Q2 numbers were labeled the “first positive surprise of the year” by Morgan Stanley analyst Adam Jonas, who said there were a few things to be happy about.

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Delivery Beat

Tesla beat delivery expectations, but there is still a long way to go before bulls can truly be pleased with what they see. Although they increased deliveries quarter-over-quarter, the Q2 figures are lower than what Tesla reported in Q2 last year.

In order to keep things flat in terms of the annual growth rate and report 0 percent instead of a loss, Tesla will need to grow deliveries in the second half of next year by roughly 6 percent.

Inventory Reduction

Tesla delivered 33,000 more units than it produced, which means its inventory is starting to thin out.

This is a good thing from a consumer perspective because, in theory, it means that Tesla cannot keep up with consumer interest. It basically means demand for its vehicles is healthy, and people are willing to buy an inventory vehicle.

Jonas writes:

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“Tesla delivered 33k units more than it produced in 2Q, driving a 7-day reduction in days’ supply of inventory (on a full calendar day basis) in the quarter. The 2Q inventory reduction substantially (but not fully) offsets the incresae in inventory seen in 1Q. At an ATP of $45k/unit this, by itself, drives a $1.5bn working capital inflow during the quarter — higher than the $600mm tailwind we have expected. Our 2Q forecast for $0.9bn FCF burn looks incrementally more conservative following this print.”

Energy Storage Deployments

Perhaps the biggest piece of information from the delivery report had nothing to do with cars in the slightest.

Tesla reported that it deployed 9.4 GWh of energy storage products in Q2, its biggest in history by a wide margin.

This was a 132 percent increase from Q1 2024, which was previously its largest deployment. Tesla rolled out 4.053 GWh of energy during this three-month span.

Tesla Energy posts record 9.4 GWh of battery storage deployed in Q2 2024

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Jonas said the news was a “show stealer” and was nearly two-times what Morgan Stanley predicted for the calendar year.

The firm believes this could be something Tesla investors should pay attention to in the coming months:

“As Gen AI acceleration spurs a multigenerational increase in energy demand, electricity generation, and data center investment, we believe investors will begin to pay more attention to Tesla Energy, which we value at $36 per Tesla share ($130bn) as the business uniquely positioned to benefit from investment in the U.S. electric grid accelerated by the AI boom.”

Tesla Mojo

Jonas said that two weeks ago, clients were preparing for a rejection in ratification of Musk’s 2018 pay package. Now, they’re asking about “positive catalysts for 2Q and beyond.”

Investors were also asked this interesting question:

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“Is this the same Tesla from early June?”

I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform

The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.

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Credit: xAI

The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil. 

The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.

xAI Integration

As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.

“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release. 

Strategic advantages

The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.

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“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.

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Tesla FSD (Supervised) v14.2.2 starts rolling out

The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.

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Credit: Grok Imagine

Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.

Key FSD v14.2.2 improvements

As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.

Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.

FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.  

Key FSD v14.2.2 release notes

Full Self-Driving (Supervised) v14.2.2 includes:

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  • Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
  • Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
  • Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
  • Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
  • Added additional Speed Profile to further customize driving style preference.
  • Improved handling for static and dynamic gates.
  • Improved offsetting for road debris (e.g. tires, tree branches, boxes).
  • Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
  • Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
  • Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
  • Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
  • Camera visibility can lead to increased attention monitoring sensitivity. 

Upcoming Improvements:

  • Overall smoothness and sentience.
  • Parking spot selection and parking quality.
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Tesla is not sparing any expense in ensuring the Cybercab is safe

Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.

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Credit: @JoeTegtmeyer/X

The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility. 

Intensive crash tests

As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays. 

Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads. 

Prioritizing safety

With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.

Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.

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