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Rivian Charging Scores should be standard for EVs [Feature]

(Credit: Rivian)

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Rivian recently rolled out its OTA.11 (over-the-air) update, releasing its Charging Scores feature. Rivian Charging Scores should be standard for electric vehicles (EVs). 

One barrier still blocking complete EV adoption in the auto industry is charging infrastructure. While many companies have entered the charging market, reliability remains a concern for EV owners and consumers considering their first EV purchase. 

Unreliable EV charging networks have become a major issue in the EV market. EV owners have spotted recurring issues with charging stations that occur in different chargers from varying companies.

Some common problems EV owners encounter at charging stations include station connectivity issues, internal station faults or errors, charging connector/cable compatibility, credit card reader issues, and problems with the display screen. Limited charging stalls and slow charging speeds are also at the top of the list. 

Rivian’s Charging Scores provide essential data to R1 drivers on the road. It provides charging stations with grades between A and F. 

“When a Rivian driver plugs into a fast charger on any network, including Tesla Superchargers, the vehicle logs relevant data such as the charger’s average top speed, payment success, and overall charge session success. When enough Rivian drivers have used a given charging site, we dynamically assign that site a reliability score from A (highest) to F (lowest) based on those critical performance factors,” states Rivian’s release notes for OTA.11.

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Rivian integrates Charging Scores with its trip planner, making long road trips more convenient for R1 owners. Charing Scores would also save drivers time. If implemented in other EV brands, Rivian’s Charging Scores could help other EV drivers, too.

Rivian’s trip planner will prioritize routes toward A or B-ranked charging sites. However, on roads less traveled, R1 drivers will likely be given routes that lead to charging sites with lower scores. 

The company’s Charging Scores feature will provide higher grades to charging sites with plug-and-charge compatibility since R1 drivers can quickly pay with the credit card linked to their Rivia account. Charging Scores consider ease of payment in its grade, and other fast-charging providers have their own apps to accept payments.

Charging Scores works with Rivian’s Adventure Network, the Tesla Supercharger Network, and Electrify America. Rivian R1 drives gained access to Tesla Superchargers last month, and reviews have been positive. It would be interesting to see the scores of Tesla’s Superchargers and other charging networks on Rivian’s new feature. 

If you have any tips, contact me at maria@teslarati.com or via X @Writer_01001101. 

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Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Tesla takes a step towards removal of Robotaxi service’s safety drivers

Tesla watchers are speculating that the implementation of in-camera data sharing could be a step towards the removal of the Robotaxi service’s safety drivers.

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Credit: Tesla

Tesla appears to be preparing for the eventual removal of its Robotaxi service’s safety drivers. 

This was hinted at in a recent de-compile of the Robotaxi App’s version 25.11.5, which was shared on social media platform X. 

In-cabin analytics

As per Tesla software tracker @Tesla_App_iOS, the latest update to the Robotaxi app featured several improvements. These include Live Screen Sharing, as well as a feature that would allow Tesla to access video and audio inside the vehicle. 

According to the software tracker, a new prompt has been added to the Robotaxi App that requests user consent for enhanced in-cabin data sharing, which comprise Cabin Camera Analytics and Sound Detection Analytics. Once accepted, Tesla would be able to retrieve video and audio data from the Robotaxi’s cabin. 

Video and audio sharing

A screenshot posted by the software tracker on X showed that Cabin Camera Analytics is used to improve the intelligence of features like request support. Tesla has not explained exactly how the feature will be implemented, though this might mean that the in-cabin camera may be used to view and analyze the status of passengers when remote agents are contacted.

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Sound Detection Analytics is expected to be used to improve the intelligence of features like siren recognition. This suggests that Robotaxis will always be actively listening for emergency vehicle sirens to improve how the system responds to them. Tesla, however, also maintained that data collected by Robotaxis will be anonymous. In-cabin data will not be linked to users unless they are needed for a safety event or a support request. 

Tesla watchers are speculating that the implementation of in-camera data sharing could be a step towards the removal of the Robotaxi service’s safety drivers. With Tesla able to access video and audio feeds from Robotaxis, after all, users can get assistance even if they are alone in the driverless vehicle. 

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Investor's Corner

Mizuho keeps Tesla (TSLA) “Outperform” rating but lowers price target

As per the Mizuho analyst, upcoming changes to EV incentives in the U.S. and China could affect Tesla’s unit growth more than previously expected.

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Credit: Tesla China

Mizuho analyst Vijay Rakesh lowered Tesla’s (NASDAQ:TSLA) price target to $475 from $485, citing potential 2026 EV subsidy cuts in the U.S. and China that could pressure deliveries. The firm maintained its Outperform rating for the electric vehicle maker, however. 

As per the Mizuho analyst, upcoming changes to EV incentives in the U.S. and China could affect Tesla’s unit growth more than previously expected. The U.S. accounted for roughly 37% of Tesla’s third-quarter 2025 sales, while China represented about 34%, making both markets highly sensitive to policy shifts. Potential 50% cuts to Chinese subsidies and reduced U.S. incentives affected the firm’s outlook.

With those pressures factored in, the firm now expects Tesla to deliver 1.75 million vehicles in 2026 and 2 million in 2027, slightly below consensus estimates of 1.82 million and 2.15 million, respectively. The analyst was cautiously optimistic, as near-term pressure from subsidies is there, but the company’s long-term tech roadmap remains very compelling. 

Despite the revised target, Mizuho remained optimistic on Tesla’s long-term technology roadmap. The firm highlighted three major growth drivers into 2027: the broader adoption of Full Self-Driving V14, the expansion of Tesla’s Robotaxi service, and the commercialization of Optimus, the company’s humanoid robot. 

“We are lowering TSLA Ests/PT to $475 with Potential BEV headwinds in 2026E. We believe into 2026E, US (~37% of TSLA 3Q25 sales) EV subsidy cuts and China (34% of TSLA 3Q25 sales) potential 50% EV subsidy cuts could be a headwind to EV deliveries. 

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“We are now estimating TSLA deliveries for 2026/27E at 1.75M/2.00M (slightly below cons. 1.82M/2.15M). We see some LT drivers with FSD v14 adoption for autonomous, robotaxi launches, and humanoid robots into 2027 driving strength,” the analyst noted. 

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Tesla’s Elon Musk posts updated Robotaxi fleet ramp for Austin, TX

Musk posted his update on social media platform X.

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Credit: @AdanGuajardo/X

Elon Musk says Tesla will “roughly double” its supervised Robotaxi fleet in Austin next month as riders report long wait times and limited availability across the pilot program in the Texas city. Musk posted his update on social media platform X.

The move comes as Waymo accelerates its U.S. expansion with its fully driverless freeway service, intensifying competition in autonomous mobility.

Tesla to increase Austin Robotaxi fleet size

Tesla’s Robotaxi service in Austin continues to operate under supervised conditions, requiring a safety monitor in the front seat even as the company seeks regulatory approval to begin testing without human oversight. The current fleet is estimated at about 30 vehicles, StockTwists noted, and Musk’s commitment to doubling that figure follows widespread rider complaints about limited access and “High Service Demand” notifications.

Influencers and early users of the Robotaxi service have observed repeated failures to secure a ride during peak times, highlighting a supply bottleneck in one of Tesla’s most visible autonomy pilots. The expansion aims to provide more consistent availability as the company scales and gathers more real-world driving data, an advantage analysts often cite as a differentiator versus rivals. 

Broader rollout plans

Tesla’s Robotaxi service has so far only been rolled out to Austin and the Bay Area, though reports have indicated that the electric vehicle maker is putting in a lot of effort to expand the service to other cities across the United States. Waymo, the Robotaxi service’s biggest competitor, has ramped its service to areas like the San Francisco Bay Area, Los Angeles, and Phoenix. 

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Analysts continue to highlight Tesla’s long-term autonomy potential due to its global fleet size, vertically integrated design, and immense real-world data. ARK Invest has maintained that Tesla Robotaxis could represent up to 90% of the company’s enterprise value by 2029. BTIG analysts, on the other hand, added that upcoming Full Self-Driving upgrades will enhance reasoning, particularly parking decisions, while Tesla pushes toward expansions in Austin, the Bay Area, and potentially 8 to 10 metro regions by the end of 2025.

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