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Panasonic deepens ties with Tesla and bets big on Auto Tech
The following post was originally published on EVANNEX
As the inevitability of a major disruption in the auto industry becomes clearer, we’ve been reading (and writing) a lot about the companies that seem likely to lose out – Big Oil, incumbent automakers, some parts suppliers. But who will be the winners? Battery-makers obviously, but also providers of “auto tech.” This term includes the electronics that make electric powertrains go – motor controllers, inverters, chargers and the like – as well as self-driving hardware and software, and customer-facing components such as touchscreens, head-up displays and infotainment systems.
Tech companies are infiltrating the automotive space, making acquisitions and alliances to position themselves for profits under the new order. Last year, GM paid a billion bucks for Cruise Automation and invested half a billion in Lyft. Intel is putting its recent acquisition, Mobileye, to work in a partnership with BMW to build self-driving vehicles. Google is working with Fiat Chrysler on self-driving cars and providing display systems for Volvo. Israeli startup Otonomo is competing with Google and Apple to sell user data to Daimler and other automakers.
No company is better placed to thrive in the electric, automated future than Panasonic, which is steadily redirecting its focus from consumer electronics to auto tech. In February, Panasonic named Tom Gebhardt Chairman and CEO of its North American operations. Gebhardt’s former post was leading the company’s Automotive Systems subsidiary.
“Our business has evolved… from purely a consumer business to a B2B business,” Gebhardt recently told Business Insider. “There’s a number of reasons for that: The commoditization of consumer products [and] the unfavorability in some of the cost models led us to look for better values in in-vehicle technologies.”
Gebhardt said Panasonic is devoting more resources to digital cockpits and vehicle entertainment systems as self-driving vehicles get closer to reality. “If the scenario says the car drives itself, it’s similar to sitting in an airplane seat, because you’re no longer actively driving,” he said. “We see that as an evolution of the space that has infinite possibilities for us.”
Panasonic offered several glimpses of those possibilities at CES in January. Fiat Chrysler’s semi-autonomous Portal concept car featured a Panasonic touchscreen with facial and voice recognition. Panasonic also revealed a new system with a head-up display and augmented reality that’s designed to replace the traditional instrument cluster and many of the car’s physical controls. Some speculated that it was a preview of Model 3’s user interface. A few days later, Panasonic CEO Kazuhiro Tsuga said in an interview, “We are deeply interested in Tesla’s self-driving system. We are hoping to expand our collaboration by jointly developing devices for that, such as sensors.”
Meanwhile, Panasonic’s collaboration with Tesla on batteries gives it a large stake in the potential profits as electrification gathers momentum. Panasonic is one of the largest battery manufacturers in the world, and it plans to invest $1.6 billion in Tesla’s Gigafactory. And looking back, in 2007 Panasonic began working with Tesla on the Roadster and has established a strong track record supporting Tesla over the past decade — even investing $30 million with Tesla at a critical juncture (in 2010) in order to develop lithium-ion battery cells for its forthcoming Model S sedan.
A lot has changed since those early days. Nevertheless, global electric vehicle sales are still hovering around 1% of the market. That said, there are many reasons to expect a breakout soon. Orders for Tesla’s upcoming Model 3 keep growing, and legacy automakers from VW to BMW to Ford are responding with plans for new electric models.
“The future is definitely electric, no question in my mind,” Gebhardt said. “What is the future timeline? Is it 10 years, 15 years, 40 years? It’s just a matter of what the adoption hits at the scale that makes this a slam dunk… We’re pretty bullish on the fact that this is a space that will continue to grow and there’s value there.”
Gebhardt conceded that EV adoption is slow in the US, a trend that may continue now that the federal government has shifted from supporting electrification to trying to revive the elderly fossil fuel industries. However, he characterizes this as “a short-term problem,” and points out that it’s a very different scene in China, the world’s largest car market. “If they adopt in a big way, that changes the balance of where electric is today versus where it will be going.”
Panasonic’s increasing investment in auto tech is already paying off, according to Nikkei Asian Review. At a recent financial briefing, President Kazuhiro Tsuga said the company is expecting an increase in net profit in fiscal year 2017, its first gain in two years, largely because of strong growth in EV batteries and other auto tech-related products. “We are confident we can achieve increases both in sales and profit for the year through March 2018 and later years,” he said.
Infographic
What auto tech opportunities are coming in the next decade? Check out this infographic for a few possibilities…
Sources: Business Insider, Nikkei Asian Review / Infographic: Futurism
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
