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Tesla’s detailed absenteeism reports to Elon Musk are adding to a drop in morale: report

U.S. AIR FORCE ACADEMY, Colo. -- Tesla Inc. Chief Executive Officer Elon Musk speaks with Lt. Gen. Richard Clark, Superintendent of the U.S. Air Force Academy, during the Ira C. Eaker Distinguished Speaker Presentation in the Academy's Arnold Hall on April 7, 2022 in Colorado Springs, Colo. (U.S. Air Force photo by Trevor cokley)

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In late May, Elon Musk sent a message to Tesla employees stating that the company would implement a return-to-office policy. According to Musk, Tesla employees are expected to spend a minimum of 40 hours in the office per week. The office must also be where an employee’s colleagues are located, “not in some remote pseudo office,” the CEO stated. 

Musk noted that if employees don’t show up to the office, Tesla would assume that they have resigned. In a follow-up email, the CEO clarified that his expectations for in-office attendance are higher for more senior employees. “The more senior you are, the more visible must be your presence. That is why I lived in the factory so much — so that those on the line could see me working alongside them,” he wrote. 

Tesla has been following these rules for several months now, but it reportedly has not been easy. Apart from crowded spaces and a reported lack of office equipment, Tesla’s strict attendance policies are reportedly also adding to an overall hit in employee morale. Citing information reportedly from anonymous Tesla employees, CNBC noted that the decline in employee morale was especially notable among teams that were previously allowed to work remotely before the pandemic. 

Elon Musk is reportedly involved in tracking the attendance of Tesla employees, with the CEO receiving detailed weekly reports on absenteeism. Absences in Tesla are measured through data from workers’ badges, with unplanned absences being divided by planned time off to tabulate daily totals, according to CNBC

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Not all employees are tracked the same way, as those that report directly to Musk are reportedly not tracked through badge swipe data. As per internal messages reportedly viewed by the media outlet, however, Tesla’s strict attendance policy and absenteeism reports to Elon Musk have caused a notable decline in morale among some workers. 

Internal records from Tesla reveal that around 1/8 of employees at the Fremont Factory are absent on a typical day. This number is a bit better if one were to look at the company’s entire roster, with about 1/10 of workers being absent on a typical workday. 

It should be noted that when the Fremont Factory was still a GM plant before its NUMMI days, absenteeism was so prominent that one out of five workers didn’t show up for work on a regular workday. Absences were so bad that there were days when GM could not even start the Fremont Factory’s manufacturing line. Fortunately, things improved when the facility became NUMMI. 

Prior to the implementation of Covid-19 restrictions, Tesla managers reportedly figured out how much remote work was possible for their respective teams. Musk’s return-to-office policy all but eliminated this option, though deals for “exceptional” employees are still possible. Ultimately, Tesla’s policy reportedly resulted in a number of well-liked employees leaving the company due to their preference for a more flexible working arrangement. Some have also moved closer to Tesla’s offices, resulting in them being hours away from family. 

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Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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SpaceX announces new Starship 13 test flight target date

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SpaceX Starship V3 flight 12
SpaceX Starship V3 flight 12 (Credit: SpaceX)

SpaceX has announced a new target date for the thirteenth test flight of Starship: Monday, July 20, with the launch window opening at 6:45 p.m ET/5:45 p.m. CT.

This is the first rescheduling attempt of Starship’s 13th test flight. It was set to launch last night, but SpaceX scrubbed the launch attempt.

CEO Elon Musk revealed that some of the engines on Starship did not start, which automatically triggers a launch abort. Two of the Raptor engines will be removed and replaced.

SpaceX officially announced the new launch window this morning.

Starship’s 13th test launch comes with a few new objectives, but SpaceX does not plan to attempt a catch of the booster, which it has done several times in the past.

For Starship’s Upper Stage, there are some adjustments to ensure engine reusability that will be assessed during the ascent, and 20 operational Starlink V3 satellites are also set to make their way into space. SpaceX also plans to attempt an in-space relight of a single Raptor engine, which is a critical demonstration for future orbital deorbit, refueling, and deep space maneuvers.

Ultimately, it will splash down in the Indian Ocean.

The continuous tests help SpaceX advance the Starship program toward eventual full reusability, operational Starlink V3 deployment, and future missions, which include NASA’s Artemis program.

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SpaceX Starship Flight 13 aborted at Zero and Musk just told us what broke

Four Raptor engines failed to ignite at T-zero, forcing SpaceX to scrub Starship Flight 13 Thursday.

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SpaceX scrubbed the Starship Flight 13 launch attempt Thursday evening at the last possible moment, after four of the Super Heavy booster’s 33 Raptor 3 engines failed to ignite during the startup sequence. The 90-minute window had opened at 6:45 p.m. EDT from Starbase in Boca Chica, Texas, and the countdown had proceeded without issue all day, with more than 11.5 million pounds of liquid methane and liquid oxygen being fully loaded into the rocket before the automated abort triggered. SpaceX’s launch directors posted on X, “Standing down from today’s flight test attempt,” and shut down the livestream shortly after.

Musk confirmed the root cause within hours. “Some of the engines didn’t start, triggering an automatic launch abort,” he wrote on X. “To be confident of a good flight, 2 Raptors will be removed and replaced. Most probable launch timing is early next week.” SpaceX engineers began draining propellant tanks immediately and Booster 20 was rolled back to its hangar for inspection.

SpaceX comes with a slew of changes for Starship Flight 13

 

The timing adds a layer of significance that did not exist during any of the previous 12 Starship flights. This is the first time SpaceX has attempted to launch Starship since the company made its stock market debut in June, listing under ticker SPCX at $135 per share. Public investors are now watching every Starship outcome in real time, and a last-second abort carries more visibility than it would have six months ago.

Flight 13 was designed to be one of the most consequential tests in the program’s history. It was set to carry 20 Starlink V3 satellites, the first operational payload Starship has ever attempted to deploy. Six of those satellites carried external cameras to photograph Starship’s heat shield from the outside during flight, which would act as a self-inspection approach SpaceX has never attempted before. The mission also needed to complete a Raptor engine relight in space, a step SpaceX skipped on Flight 12 in May after losing an engine during ascent. That Flight 12 booster also flipped 90 degrees off course during its boostback burn when five engines failed to reignite.

SpaceX has not announced an official next launch date. Musk’s “early next week” window points to July 21 or 22 at the earliest, pending the engine swap and a return to the pad.

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Elon Musk secretly acquires $1B energy company to power the AI future

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

Elon Musk flew under the radar with his recent purchase of a $1 billion energy company, according to Federal Trade Commission (FTC) documents.

Transaction number 202612350 listed Tesla and SpaceX frontman Elon Musk as the acquiring party and CF APR Super Holdings LLC as the seller, with New APR Energy, LLC as the acquired entity. The deal, which closed without public announcement, came to light on May 14.

Analysts inferred the deal’s scale from minority stakeholder disclosures, including one report of a 5 percent interest sold for approximately $50.4 million. Fortress Investment Group had purchased APR’s assets in late 2024, rebranded the operation as New APR Energy, and subsequently transferred ownership to Musk.

APR Energy specializes in rapidly deployable power infrastructure. The company maintains one of the world’s largest fleets of mobile gas and diesel turbines, with more than 1.1 gigawatts of generation capacity. Its modular units, which are often trailer-mounted, enable turnkey installations ranging from 20 MW to over 500 MW.

Elon Musk admits he was ‘clearly wrong’ about Anthropic

APR provides full engineering, procurement, construction, operation, and maintenance services for behind-the-meter power plants, serving everything from data centers, utilities, and industrial clients.

The firm has expanded aggressively to meet surging demand, recently adding turbines and deploying over 100 MW for a major AI hyperscaler. Its solutions bridge critical gaps where grid interconnections face delays of two to five years, according to Yahoo.

The acquisition means something more for Musk. As he continues to expand projects in artificial intelligence, especially xAI, his AI venture, there is a greater need to supply energy-intensive supercomputing clusters, including the Colossus project, with what they need: reliable and high-capacity power.

Ownership of APR provides immediate access to flexible generation assets that can be deployed adjacent to data centers, reducing dependence on a strained infrastructure. It also complements Tesla’s energy storage business, so Musk will be able to pull from his own entities to address the rapid scaling demands of AI training and compute.

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