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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 reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
