News
Tesla denied grant applications in Texas for Superchargers despite fractional costs
Tesla recently applied for a series of grants through a program in the State of Texas that would cover up to 70 percent of an electric vehicle charging stall installation. However, the applications from the United States’ leading electric automaker were denied, despite costs being a fraction of what competitor installations would cost. According to a report from Forbes, which examined the rejected applications and what would instead be installed, Texas is doing itself a disservice, selecting “the most expensive stations in the worst locations for their money.”
Despite a laid out sheet of ground rules, which tend to gravitate toward impartial and unbiased selections, it does not always work out that way. The $21 million in grants, which are awarded on a first-come-first-serve basis, provided enough funding for 170 chargers at 41 stations. Tesla’s applications were not selected for a single project, despite aligning with the grant’s requirements, which would have made Tesla install CHAdeMO or CCS connectors, which would open the Superchargers up to other car manufacturers.
Interestingly, the article states that around 70 percent of EVs on the road would benefit from even more Tesla Superchargers. The robust network of global charging stations for Tesla, which recently eclipsed 30,000 worldwide, provides energy for the industry’s best EVs. Sales figures for Tesla are simply incomparable to other EV companies, as it is the only company in the United States to consistently mark hundreds of thousands of deliveries per quarter, with each one being an electric powertrain.
Tesla’s Superchargers would not have only benefitted drivers of the all-electric automaker’s products. The Forbes report indicates Tesla had only applied for a “small portion” of the money to build its first four stations, which would also accept non-Tesla EVs, much like a “pilot” program the company has started to test in Europe.
Tesla’s non-Tesla Supercharger pilot program expands to France, Norway
While it has not yet happened in the United States, Tesla Superchargers could be used to provide energy to other EV manufacturer products. Tesla stands to gain in other ways, too, as the company allowing other cars to access its infrastructure would help relieve range anxiety concerns. However, its biggest advantage is having 70 percent of the station covered by grant money.
Even if Tesla planned to use the grant funds to expand its charging infrastructure, the decision not to accept their applications is questionable. The prices in unaccepted grant applications, representing up to 70 percent of the actual cost, are as follows:
- Chargepoint: $150K+ for 2-plex
- EVgo: $150K+ for pair, $126K for 4-plex
- Circle-K: $75K for 4-plex to $150K+ for 2-plex
- 7-11: $126K for 2-plex
- “Retail EV Charging North/South Texas” (Buc-ee’s) $100K/charger for 6-plex
- Various small players: $75K to $150K, averaging at least $133K/charger
- Accepted applications so far from various players average $123K+/charger
- Tesla: $29K for 17-plex, $42K for 9-plex
Opening up potential Supercharger locations to other automakers would be extremely advantageous from a cost perspective. It also would give Tesla the ability to test the waters of a potential pilot program in the United States, with plenty of restrictions that would still give Tesla owners prioritization at the stalls.
Ultimately, the EV infrastructure doesn’t seem to gain any benefits from what the Forbes article’s author, Brad Templeton, calls “misguided grants.” Instead, funding the EV infrastructure with what drivers actually need, which is more stations in advantageous areas, like shopping centers or tourist destinations, is the answer.
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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
