The Charging Interface Initiative (CharIN) has issued a response to Tesla’s proposal to have its charging connector design adopted as the North American Charging Standard (NACS) for electric vehicles. CharIN noted that while Tesla should be lauded for its effort to move electric mobility forward, adopting the NACS would “lead to further consumer confusion and delay EV adoption.”
CharIN shared its stance in a press release:
“CharIN applauds Tesla for including DIN 70121 and ISO 15118-02 communication standards for the NACS proposal. We also appreciate Tesla’s effort to move the e-mobility market forward even faster than it is moving now.
“However, we encourage stakeholders to investigate ways to focus on market acceleration rather than the creation of yet another form factor alternative, which will lead to further consumer confusion and delay EV adoption. CCS has gone through many years of rigorous standardization processes, which is a required activity for any new standard proposal. After a decade of collaborative work, the domestic and international EV industry has aligned around CCS,” CharIN wrote.
CharIN highlighted that nearly 300 domestic and international CharIN members are using or investing in CCS. The industry association also highlighted that worldwide, CCS far outnumbers Tesla’s Superchargers, with 61,000 DC fast chargers using a CCS connector and only 40,000 Superchargers using Tesla’s NACS. In North America, CharIN noted that there are 18,880 CCS connectors compared to 18,405 Tesla Supercharger connectors, and 178,926 J1172 connectors compared to 15,529 Tesla destination chargers.
The industry association further noted that Tesla’s proposal would have to face hurdles for the NACS to be standardized. Through this, the EV industry could be disrupted since electric car makers would have to divert their energy and resources to integrate and implement a new charging standard for their cars, according to CharIN.
“We strongly encourage Tesla, as a CharIN member, to work with CharIN’s membership base, the standards organizations, and others to accelerate the adoption of a fully interoperable EV charging solution to transition to electric vehicles more quickly. Ecosystem-driven collaboration is a proven method to create true standards accepted and adopted by a multitude of stakeholders, as well as a testing and conformance infrastructure to guarantee interoperability in the field. This is how CharIN, an inclusive, industrywide coalition representing nearly 300 leading e-mobility stakeholders, seeks to accelerate the e-mobility market in North America,” CharIN wrote.
Tesla, for its part, noted in its announcement earlier this month that the North American Charging Standard (NACS) has numerous advantages over CCS. Apart from offering both AC charging and up to 1 MW DC charging, the NACS is half the size and twice as powerful as CCS connectors.
“With more than a decade of use and 20 billion EV charging miles to its name, the Tesla charging connector is the most proven in North America, offering AC charging and up to 1 MW DC charging in one slim package. It has no moving parts, is half the size, and twice as powerful as Combined Charging System (CCS) connectors.
“In pursuit of our mission to accelerate the world’s transition to sustainable energy, today we are opening our EV connector design to the world. We invite charging network operators and vehicle manufacturers to put the Tesla charging connector and charge port, now called the North American Charging Standard (NACS), on their equipment and vehicles. NACS is the most common charging standard in North America: NACS vehicles outnumber CCS two-to-one, and Tesla’s Supercharging network has 60% more NACS posts than all the CCS-equipped networks combined,” Tesla wrote.
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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
