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Tesla and NIO sales suffer in China as bumpy economic conditions continue
It’s no secret that the tensions between the US and China are high, but now it appears to be affecting the rapidly-growing country’s EV market. Don’t get me wrong, China’s EV sales still put the US to shame, more than 45,197 all-electric vehicles in sold April alone. But the more notable portion of that news? Pure EV sales fell 4% compared to the stellar 2018 sales (I’m excluding plug-in hybrids on purpose).
There are a couple of reasons for the speed bump in EV sales growth. First, are the massive changes happening to Chinese NEV (new energy vehicles, which includes plug-in hybrids) subsidies. Second, as mentioned above, the macroeconomic effects from US-Chinese relations. The system for Chinese NEV subsidies is incredibly complex, and I’m not going to pretend to know all the system’s ins and outs. But it’s worth pointing out a few differences from more traditional tax rebates or credits. Tesla doesn’t currently earn any subsidies from their sales in China, their future Chinese-built Model 3s would be eligible for subsidies.*
Only cars made in China are eligible for these subsidies. Tesla has never had access to them.
— Elon Musk (@elonmusk) June 3, 2019
One of the major differences between the US’ federal tax rebate system and Chinese subsidies lies with the redemption process, or lack thereof. Rather than putting the responsibility on consumers, the Chinese government requires all manufacturers to factor in subsidies into sales prices, then request payment from the government. This process is incredibly beneficial to consumers, allowing them to realize the price reduction immediately, but causes many automotive companies troubles. The subsidy request process in China can take up to a year for automakers to be reimbursed, straining their balance sheets and hurting their cash flow.
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This subsidy request process doesn’t cause a huge threat to large established companies, who have strong cash flows from their ICE sales (see, BYD). But for small companies like Tesla and NIO, these sort of subsidy structures can put them at a disadvantage compared to their peers. In fact, NIO’s VP of Quality, Feng Shen, recently told me that he believed that the reduction of subsidies will help NIO in the long term. Tesla’s Musk has echoed this premise with US subsidies (ZEV credits and consumer tax credits)— allowing all companies to compete on a more equal playing field.
While Shen might be right, NIO and Tesla’s sales appear to be taking a hit in part to subsidy reductions. NIO reported only 1,124 sales of the ES8 in April, with a total of 5,113 in the first four months of 2019. However, NIO stated that the ES8 has outsold the Tesla Model X 2:1 in the same four months, indicating ~2,500 sales (foreign-built vehicles aren’t required to report sales figures). While Tesla doesn’t report regional sales figures, NIO’s statements about the ES8’s lead over the Model X hints at the increasing competition in China’s premium all-electric SUV segment.
It’s nearly impossible to tell if macroeconomic conditions or subsidies are playing a bigger role here, but I’d say its safe to assume its a mix of the two are hurting NIO’s sales (Tesla’s US-built vehicles aren’t eligible for subsidies). I wouldn’t say this slump in EV sales is an indicator of long-term demand in the world’s largest automotive market, but both Tesla and NIO have placed large bets on huge demand. Tesla’s Shanghai Gigafactory is well under construction and the company is expecting huge demand for their lower-cost Model 3, which is priced at RMB 328,000 (~$47,400).
But for NIO, the company is feeling the pressure. Unlike Tesla, China is the company’s sole market and they are burning cash quickly ($390M in Q1). To cut their cash burn NIO has been remarkably reactive, cutting costs by an impressive (obviously not to some) 25% in Q1 and focusing on launching their second (lower-cost) vehicle, the ES6. The company isn’t ready to revise its 2019 guidance (35-40K vehicles) yet, but is cautiously watching the Chinese market.
With the world’s largest auto market hitting a speed bump, the entire industry is on pins and needles, watching and waiting for a recovery. When do you think the Chinese EV market will bounce back? Do you think Tesla and NIO are over-investing in China?
*Update: An earlier version of this article indicated that Tesla’s vehicles were eligible for China’s NEV subsidies. Only NEVs built in China are eligible for these subsidies and Tesla may benefit from them in the future with their Chinese-built Model 3.
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK
— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L
— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.
The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.
Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:
Unsupervised Robotaxi now in the entire Austin Metro area https://t.co/eXNBdarvVS
— Tesla Robotaxi (@robotaxi) June 3, 2026
This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.
It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.
The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.
Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.
The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.
It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.
It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.
Tesla piggybacks recent Supercharger feature with update that takes it further
Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
