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Tesla releases Conflict Mineral report, extending history of humane mining practices
Tesla has released its Conflict Mineral Report for the fiscal year ending on December 31, 2019. In the report, Tesla outlined its processes for securing minerals used in its products, ensuring they are obtained in humane ways that do not involve any child labor, human trafficking, or slavery. Many of the minerals are obtained through the efforts of Tesla’s suppliers. The minerals must be “DRC Conflict Free,” meaning that the materials do not benefit “armed groups in the Democratic Republic of the Congo, or any adjoining country.”
Tesla states that its conflict minerals are:
- Columbite-tantalite (Tantalum)
- Cassiterite (Tin)
- Gold
- Wolframite (Tungsten)
- and any derivatives of the above
The company states that any of its products, whether be its electric vehicles or its energy storage products, could contain some portion of these “conflict minerals.”
The materials are considered “conflict-free” as long as they do not benefit any of the armed groups in the DRC, and Tesla requires all of its suppliers to establish several processes to ensure the automaker humanely obtains them. The company writes:
“Tesla requires our suppliers to establish policies, due diligence frameworks, and management systems consistent with the OECD Due Diligence Guidance for Responsible Supply Chains of Minerals from Conflict-Affected and High-Risk Areas (“OECD Guidance”). Tesla expects its suppliers to stay up to date with and to use validated conflict-free smelters and refiners assessed by the Responsible Mineral Initiative (“RMI”) and similar organizations.”
(Credit: Tesla)
Furthermore, Tesla also has internal guidelines for itself that it commits to. These include:
- Continuously evaluating our supply chain to address any risks related to conflict minerals, human trafficking, slavery, and child labor;
- Reviewing suppliers’ practices to ensure their compliance with Tesla’s policy
- Requiring our Tier 1 suppliers to certify that their materials incorporated into Tesla products comply with the applicable laws related to conflict minerals, slavery, child labor, and human trafficking of the country or countries in which they are doing business;
- Disciplining contractors and appropriate parties who fail to meet the requirement of our Code and Policy, including potential termination of contract;
- Ensuring appropriate Tesla employees are aware of issues regarding conflict minerals, human trafficking, child labor and slavery, particularly with respect to mitigating risks within Tesla’s supply chain;
- Investigating if Tesla has a reasonable basis to believe that a supplier may be engaging in human trafficking, slave or child labor, or use of conflict minerals;
- Transitioning away from purchasing goods or services from any supplier that is believed to be engaging in human trafficking, slave or child labor, or use of conflict minerals if the supplier does not take corrective actions.
Tesla also has a four-step Due Diligence process to ensure that all minerals are obtained humanely.
- Establish Strong Company Management Systems
- Identify and Assess Risk in the Supply Chain
- Identify and Assess Risk in the Supply Chain
- Perform Independent Third-Party Audit of Supply Chain Due Diligence
Tesla states in its report that, “Due to its downstream position in our supply chain, any efforts to understand the origin of raw materials rely heavily on the cooperation of our Tier 1 and upstream suppliers. We have uncovered no evidence to date that our suppliers’ sourcing of 3TG materials has contributed to conflict or human rights violations.”
It does, however, list several areas as “covered countries” and states that “Tesla does not directly source from these countries and has no relationship with any companies or individuals located within their national boundaries.” The countries listed are considered “covered” as a part of the U.S. Conflict Minerals Disclosure Rules.
These countries include:
- Burundi
- The Democratic Republic of the Congo
- Rwanda
- Tanzania
- Uganda
- Zambia
Tesla’s primary goal is to accelerate the transition to sustainable energy. Although the country is focused on scalability and handling its increasing demand, it is unwilling to cut corners and intends to continue creating its vehicles in an environmentally friendly way throughout the entire supply chain.
The full report is available here.
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
