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Autonomous Driving

Jul 24, 2026

Autonomous Driving

The Gist

Rising chip and battery costs are pressuring automakers as they race to develop autonomous vehicles, with German manufacturers increasingly relying on AI partnerships rather than solo EV efforts. Meanwhile, companies like Xpeng are diversifying into robotaxis and humanoid robots, while suppliers like Foxconn predict that Level 4 autonomous cars could dominate 80% of the market by 2040, despite current supply chain challenges.

Today's Stories

  1. 1

    AI server surge drives DRAM costs up, pressuring EV makers

    Soaring demand for AI servers has driven DRAM prices sharply higher over the past year. That cost increase is now beginning to affect the automotive sector, forcing Chinese EV makers to rethink their pricing strategies. DRAM is a critical memory chip used in everything from servers to vehicles. When AI data centers compete for scarce supply, automotive manufacturers face higher component costs. For cost-sensitive EV makers in China, this shifts their pricing calculus at a time when EV competition is already intense.

    How Chinese automakers respond to sustained elevated DRAM costs—whether they absorb the expense, pass it to consumers through higher prices, or seek alternative suppliers or designs to mitigate the impact.

  2. 2

    German automakers shift strategy to AI and alliances as EV demand slows

    Volkswagen, BMW, and Mercedes-Benz are reshaping their growth strategies as the global auto market enters a low-growth era, with profitability under pressure and EV demand slowing. Instead of chasing volume, the three German automakers are focusing on new approaches—signaling a fundamental pivot away from the high-volume expansion that has defined the industry for decades. This shift reflects real market headwinds that automakers across the sector will likely need to address.

    The specific details of their new strategic focus on AI and powertrain technology, and how their alliance moves play out in the competitive landscape.

  3. 3

    LFP battery failures hit 210,000 Chinese EVs, disrupt automakers' CATL shift

    Lithium iron phosphate (LFP) batteries made by China Aviation Lithium Battery (CALB) have developed cell swelling, electrolyte leakage, and insulation failures in ride-hailing and taxi versions of GAC Aion's Aion S across 210,000 vehicles. The quality issue is spreading among automakers who have been moving away from CATL (Contemporary Amperex Technology Co.) batteries. Chinese automakers have been working to reduce their reliance on CATL, the dominant battery supplier, by diversifying to competitors like CALB. This widespread failure in CALB batteries undermines that strategy and may force automakers back toward CATL or delay their independence plans, potentially giving CATL continued control over battery supply and pricing.

    The scope and timeline of recalls or replacements for the 210,000 affected vehicles, and whether other automakers using CALB batteries experience similar issues—either outcome could reset the competitive balance in China's EV battery supply chain.

  4. 4

    Xpeng pivots to Physical AI: robotaxi, humanoid robots, flying cars

    Xpeng announced a 10-year transformation into a physical AI supplier with three core product lines—robotaxi, humanoid robots, and flying cars—according to chairman Xiaopeng He in an interview with Automotive News. The shift signals Xpeng's intent to move beyond traditional automaking into a broader robotics and autonomous-vehicle ecosystem, potentially positioning the company as a hardware-AI platform rather than a conventional carmaker.

    The company's ability to deliver on all three product categories simultaneously over the next decade, and whether it can sustain profitability while investing heavily in physical AI infrastructure.

  5. 5

    Ukraine deploys ground robots via drones in sea and air assaults

    Ukraine has used flying hexacopter drones and drone boats to deliver armed ground robots into battle. On July 19, a Russian military Telegram channel posted video of a Ukrainian hexacopter carrying a four-wheeled ARK-1 robot armed with explosive anti-tank mines toward Russian positions. Ukrainian ground robots also participated in a June 25 operation targeting the Kinburn Spit, a peninsula in the Black Sea connected to Russian-occupied territory. Drone-assisted deployment allows slower wheeled robots to bypass difficult terrain and Russian defenses while reducing exposure to aerial surveillance and strikes. The tactic reflects Ukraine's strategy to use drones and robots to offset Russia's manpower advantage while limiting risk to Ukrainian soldiers in direct assaults.

    The ARK-1 robot can travel at a top speed of nearly 28 miles per hour, though some robots are considerably slower—indicating that further refinement of delivery and speed capabilities may be underway. Russian forces began withdrawing from the Kinburn Spit in early June as Ukraine's drone strike campaigns strained supply lines.

  6. 6

    Foxconn says Level 4 autonomous cars to reach 80% by 2040

    Foxconn group's EV strategy chief Jun Seki stated on July 21 in Tokyo that Level 4 and above autonomous driving technology will likely be installed in 80% of new cars by 2040. The statement signals confidence from a major electronics manufacturer in the near-term viability of self-driving technology, suggesting a structural shift in the automotive industry toward automation rather than incremental improvements to driver-assistance features.

    The forecast implies that automakers' roles may change significantly by 2040, though Seki's full remarks on that transformation were not detailed in the available report.

What to Watch

As Chinese automakers navigate rising DRAM costs and intensify their focus on AI and powertrain innovation, watch whether they can maintain competitive pricing while investing in next-generation technology—and how battery supply chain disruptions reshape the regional power balance. Over the next decade, the real test will be whether these companies can sustain profitability across multiple product categories while building the physical AI infrastructure needed to compete globally, especially if industry roles shift as dramatically as some forecasts suggest by 2040.

Sources

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