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Tesla gets first place in inaugural Industrial Digital Transformation Report
ARC Advisory Group, a technology and research firm founded in 1986, recently released its inaugural Industrial Digital Transformation Top 25 special report. The report analyzes companies across several industries and ranks them based on how well they excel at integrating digital technologies in all areas of their business. Tesla took the number one spot in ARC’s inaugural list.
As per ARC’s report, companies that do well in the integration of digital technologies fundamentally change the way they operate and deliver value to their customers. Marianne D’Aquila, ARC’s director of research, noted that companies that lead in digital transformations usually gain a competitive advantage in their respective industries.
“Digital transformation leaders across many different industries share common traits and visions, helping them overcome complex challenges to innovate and stay agile. Industrial innovation continues to accelerate, and leading companies have their transformation initiatives well underway. For those who succeed, the result is a competitive advantage, even during the most difficult economic times.” the director of research noted.
ARC developed a rather rigorous process to identify and rank the companies in its inaugural Industrial Digital Transformation Top 25 report. The ranking covered three main components of a business — financial indicators, transformation indicators, and collective intelligence. Financial indicators were analyzed by studying a company’s publicly-available financial data, transformation indicators were scored based on software and Environment, Social, and Governance (ESG) data, and collective intelligence was based on selection and ranking by ARC’s own analysts.
As noted by ARC in its report, the companies that made its Top 25 were from a variety of industries. “They share a common thread of leveraging digital technologies to transform business capabilities and outcomes, giving them a competitive advantage during challenging global circumstances. While some shifted their digital transformation efforts during the pandemic, all had some level of preparation prior and have an eye toward the future. For them, digital transformation is not an option, it is a necessity to survive and thrive,” the report read.
ARC Advisory Group describes its reasons for selecting Tesla as the number one company for its inaugural Digital Transformation Top 25 in the following section:
“Some may argue that Tesla started out as a transformative company rather than one that has recently transformed, given that its intent was to disrupt the automotive industry. The company’s growth has been fueled by several bold digital strategies. Founded in 2003, the company’s message from day one was not that an electric car could be good but that it could be better.
“Tesla’s fundamental philosophy internally and externally is to shift perception. Prior to Tesla, the market perception of electric vehicles was a slow, ugly juiced up car with little range. Tesla shifted this perception to one of being a sleek high performance and accelerated mode of transformation. This same strategy is used inside the organization to gain buy-in for digital initiatives and process. For example, when Tesla sets out to automate its internal processes, they try to build it better from the start rather than start a clunky project and hope to get better on revision 4 or 5. This orientation is fundamental in determining what KPIs the company values, as many of them are far different from metrics managed by manufacturers relying on traditional views of success.”
The advisory group also highlighted Tesla’s approach to vehicles, which sees cars more like computers on wheels than intricate machines that take people from Point A to Point B. This strategy, according to ARC, has allowed the company to deliver more value to its customers, making Tesla a distinct automaker whose products are near-incomparable to their competition.
“By showing value from the start and having internal stakeholders support initiatives, internal employee resistance is minimized. As ARC sees it, this is an example of a company that is comfortable with digital transformation and adapts to business challenges with greater ease quickly. Tesla’s digital connectivity has allowed the company to deliver more value to consumers. Their business model is built on the tenet that the vehicles are more like interactive computers with wheels, leading to the creation of an intelligent data platform and connected ecosystem, enabling Tesla to learn from and serve its customers.
“In Q3 2021, Tesla has publicly stated it plans to grow manufacturing capacity as quickly as possible. Over a multi-year horizon, Tesla expects to achieve 50 percent average annual growth in vehicle deliveries. This rate of growth will depend on Tesla’s equipment capacity, operational efficiency, and the capacity and stability of the supply chain.”
A copy of ARC Advisory Group’s inaugural Industrial Digital Transformation Top 25 report can be requested here.
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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
