General Motors (GM) has officially launched layoffs at its self-driving robotaxi business Cruise, coming just months after the automaker first announced plans to cut funding and wind down operations for the startup.
In December, GM said that it would funding and end Cruise, after the company lost its permit to operate autonomous vehicles and saw major staff shake-ups following an accident involving one of its robotaxis in October 2023. In an all-hands meeting on Tuesday, Cruise said that GM has officially acquired the remainder of the company as it starts to lay off 50 percent of its remaining staff, according to a report from The Verge.
“We are grateful for their passion and contributions to help us reach this stage, and our focus is on supporting them into their next chapter with severance packages and career support,” said Sara Autio, a Cruise spokesperson. “While not an easy decision, we are focused on combining efforts with General Motors to accelerate autonomy at scale on personal autonomous vehicles.”
With the winding down of Cruise, GM will move away from the commercial robotaxi business altogether, and instead focus on in-house driver assistance development.
“By combining the specialized technology and talent at Cruise with our team developing Super Cruise, we’ll have the ability to accelerate our work on both assisted-driving and autonomous driving,” said Dave Richardson, SVP of software and services engineering at GM. “We look forward to teaming with Cruise to accelerate our work together.”
READ MORE ON GM’S CRUISE:
- Cruise forced to boost settlement offer in California accident hearing
- Cruise ordered to pay max penalty for delayed accident report
Cruise down memory lane: the October 2023 accident and subsequent downfall
Just a couple of months after gaining approval to operate its autonomous ride-hailing service 24 hours a day in San Francisco, a Cruise robotaxi seriously injured a pedestrian who had been hit by a vehicle with a human driver on October 3, 2023. The pedestrian was plunged into the path of the Cruise vehicle by the first impact, at which point the robotaxi attempted to engage an emergency pull-over maneuver, dragging the pedestrian and eventually stopping and pinning the person under its rear axle.
Authorities arrived on scene and used the Jaws of Life to lift the vehicle off the pedestrian, before rushing them to the hospital, according to the San Francisco Fire Department.
The California Department of Motor Vehicles (DMV) immediately suspended Cruise’s permit to operate autonomous vehicles after the accident. Multiple founding executives would go on to step down from the company, and an initial round of layoffs affecting about a quarter of the company came a couple of months later.
Cruise also faced significant scrutiny over its failure to disclose certain details about its response to the accident, facing investigation efforts from the state’s DMV, the California Public Utilities Commission (CPUC) and the National Highway Traffic Safety Administration (NHTSA), which later ordered the company to pay a $1.5 million fine.
While GM spent most of last year talking up its efforts to regain public and regulatory trust and to relaunch Cruise services, the company announced plans to end funding for the business in December, citing “the considerable time and resources that would be needed to scale the business, along with an increasingly competitive robotaxi market.”
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Former Cruise CEO launches robotics firm with ex-Tesla AI manager
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Elon Musk
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.
Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.
🚨 Our LIVE updates on the Tesla Earnings Call will take place here in a thread 🧵
Follow along below: pic.twitter.com/hzJeBitzJU
— TESLARATI (@Teslarati) April 22, 2026
The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.
The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.
For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
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 miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 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.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
