Last updated on February 9th, 2026 at 07:55 pm
70% of US Vehicle Recalls Could Have Been Detected Earlier By Using Connected Vehicle Data, According to Upstream Report Estimation (July 9, 2025)
A new report from Upstream, titled Under Pressure: Why After-Sales Quality Strategies Must Evolve in the Age of Connected Vehicle Data and AI, demonstrates that connected vehicle data could have identified 70% of U.S. automotive recalls ahead of time, with that figure jumping to nearly 90% for electric vehicles. Drawing from analysis of more than 5,000 recall campaigns and 30,000 consumer complaints filed with NHTSA, the findings highlight an urgent requirement for manufacturers to abandon reactive quality management in favor of proactive, AI-driven approaches.
As software-defined vehicle (SDV) architectures grow more complex and innovation cycles accelerate, particularly in EVs, OEMs face rising recall volumes and warranty costs. Upstream warns that traditional quality analytics are no longer sufficient and calls on automakers to modernize their processes by leveraging diagnostic data, machine learning, and cross-functional monitoring. The payoff? Faster root cause analysis, reduced recall scope, and stronger consumer trust in a software-driven automotive future.
Waymo robotaxis are heading to Philadelphia and NYC (Rebecca Bellan – July 7, 2025)
Waymo started two “road trips” to Philadelphia and New York City to explore expansion in the Northeast. These trips involve mapping new cities with a small fleet of human-driven vehicles that have Waymo’s autonomous driving system. Although past road trips have led to commercial services, such as in Los Angeles, a commercial launch in these new cities may not be immediate.
Waymo applied for a permit to test autonomous vehicles in NYC, but regulations currently require a human driver present. The company aims to advocate for changes in these laws.
Tesla robotaxi incidents spark confusion and concerns in Austin (David Ingram and Bruna Horvath – July 5, 2025)
Two weeks after Tesla’s robotaxi service started in Austin, Texas, there are concerns about safety due to several viral videos showing the vehicles breaking traffic laws and behaving erratically. The service, launched on June 22, allows invited users to hail rides at a cost of $4.20. Each vehicle is controlled by experimental software, but an employee is present to intervene if needed. Experts caution that it’s too early to assess the service, though some city officials worry about the risks involved. Local lawmakers are calling for Tesla to prioritize safety and have even asked the company to delay its launch until new regulations take effect. Tesla has not provided significant details about its operation or the incidents.
Trump’s Megabill Is Ceding the Future to China (William Pesek – July 8, 2025)
A recent financial analysis argues that Trump’s newly signed “Big Beautiful” tax and spending bill significantly undermines U.S. clean-energy efforts, effectively empowering China’s progress in electric vehicles and renewables. By dismantling key subsidies, such as the $7,500 EV tax credit and rooftop solar incentives, the legislation shifts economic advantages toward traditional energy and away from green tech, potentially slowing U.S. momentum in emerging industries. The analysis warns that these shifts create a strategic opening for China at a critical moment when global clean-energy leadership is at stake.
GM’s Cruise Cars Are Back on the Road in 3 US States – but Not for Ride-Hailing (Paresh Dave – July 4, 2025)
Cruise robotaxis are back on the road in a limited capacity after GM shifted focus from its self-driving taxi business. Although human drivers operate modified GM Bolt vehicles equipped with testing technology in areas like Michigan, Texas, and the Bay Area, these are for internal tests and do not carry passengers. GM repurposed the cars to enhance advanced driver-assistance systems after a past incident caused operational disruptions.
AI sensors are quietly taking the wheel (Nik Miles – July 6, 2025)
Modern vehicles are discreetly receiving sophisticated AI-powered sensor technology that extends well beyond simple backup cameras. These smart systems are progressively assuming responsibility for steering assistance, braking decisions, and hazard recognition, creating a subtle shift toward semi-autonomous driving that works seamlessly behind the scenes.
Through the strategic placement of advanced machine learning cameras and lidar technology across vehicle platforms, car manufacturers are working to significantly boost both safety and user experience. These understated technological enhancements deliver better reaction times to potential dangers and more intelligent support during everyday travel, creating a gradual and natural progression toward complete vehicle autonomy.
