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Autonomous Driving

Jul 7, 2026

Autonomous Driving

The Gist

The U.S. has deployed over 100 autonomous vehicles for combat operations in Ukraine, while self-driving startup Turing has secured AMD as a backer and integrated AMD AI chips into its technology. Meanwhile, South Korea is focusing on world models as a competitive advantage in autonomous driving development, and broader chip stocks are rallying as the market gains momentum.

Today's Stories

  1. 1

    U.S. deploys 100+ autonomous vehicles in Ukraine combat

    Forterra, a U.S. autonomous vehicle builder, has deployed more than 100 of its self-driving ATVs in Ukrainian conflict zones over the past nine months—what it claims is the largest deployment of autonomous ground vehicles in combat by any U.S. defense tech company. The Lancer vehicles, based on Polaris ATVs and equipped with custom sensors and computing hardware, have completed more than 1,100 missions, driven over 2,500 miles, carried 777,440 pounds of cargo, and evacuated 52 casualties. Ukrainian forces face constant aerial drone threats that make movement extremely dangerous, creating demand for remote-operated and autonomous ground vehicles to transport supplies, munitions, and wounded soldiers. Forterra's vehicles can carry 750 kilograms of cargo and run on gasoline, outperforming Ukraine's existing battery-powered vehicles, which carry only up to 250 kilograms. The real-world combat experience is teaching Forterra and competitors how autonomous systems must evolve to handle military conditions—lessons that will shape future U.S. defense contracts.

    Ukrainian soldiers currently teleoperates the vehicles rather than relying on full autonomy, because autonomous systems cannot yet identify and react to unexpected enemy threats in real time. Forterra has raised more than $500 million(約800億円) in venture funding and faces competition from Scout AI (which raised $100 million(約160億円) earlier this year), Field AI, and Overland AI, all developing autonomous platforms for the military.

  2. 2

    South Korea eyes world models as key to self-driving edge

    An automotive technology researcher in South Korea has identified world models—AI systems that can reason through unknown scenarios—as the critical factor for achieving physical AI autonomy in self-driving vehicles, even as the industry competes fiercely around end-to-end (E2E) self-driving technology. While global competitors focus on E2E self-driving approaches, this perspective suggests that mastery of world models could represent a distinct competitive advantage for South Korea's automotive sector, potentially positioning local firms to lead on a dimension rivals may be overlooking.

    The claim hinges on whether world models prove to be the decisive capability in autonomous-driving development; companies and countries that prioritize this capability early may gain meaningful advantage as the technology matures.

  3. 3

    Oak Ridge Lab reveals workforce behind AI research facilities

    Oak Ridge National Laboratory has highlighted the role of its Facilities and Operations (F&O) workers who build and maintain infrastructure supporting autonomous science labs. These facilities run with minimal human intervention, relying instead on robotics, sensors, and automation. The report underscores that behind every cutting-edge autonomous research system stands a team of infrastructure specialists whose work often goes unrecognized. For organizations deploying AI-powered labs, this signals that technical automation requires substantial behind-the-scenes engineering and maintenance support.

    The article draws attention to the previously overlooked human workforce that enables autonomous research—a dynamic that may matter to federal agencies, national laboratories, and private research facilities planning similar deployments.

  4. 4

    Chip stocks lead market rally; Nasdaq, S&P 500 gain while Dow lags

    The Nasdaq Composite rose 1.3% and the S&P 500 gained 0.7%, led by semiconductor stocks. The iShares Semiconductor ETF jumped 4.1% after a two-week losing streak. Broadcom announced its chip supply deal with Apple will extend through 2031, adding $78 billion(約12兆円) in market capitalization, while Advanced Micro Devices surged 8% on news that Japanese autonomous driving start-up Turing is using AMD graphics processors for about 10% of its AI training needs. The chip rally shows investor appetite for semiconductor and AI-related hardware remains intact, even after recent weakness. Broadcom's multi-year deal with Apple locks in revenue across multiple iPhone generations, signaling confidence in sustained demand for custom silicon. For businesses tracking tech spending, this suggests major tech companies are committing significant capital to AI infrastructure and chip development.

    The Dow Jones Industrial Average fell 0.1% despite winners like Goldman Sachs and IBM, held back by sharp declines in Honeywell International (down 7.2% after a spinoff) and Amgen (down 2.6%). Microsoft dropped 1.4% after announcing 4,800 job cuts and a smaller Xbox division, signaling a shift toward AI infrastructure spending over headcount.

  5. 5

    Self-driving startup Turing adds AMD as backer, deploys AMD AI chips

    Self-driving tech developer Turing Inc. has added AMD Ventures as a financial backer and begun using Advanced Micro Devices' AI accelerators in its systems. The partnership signals AMD's push to secure design wins beyond its traditional server and gaming markets, while offering Turing an alternative to NVIDIA's dominant AI hardware ecosystem as the autonomous vehicle industry scales.

    No specific timeline, pricing, or deployment scope is disclosed in the announcement.

  6. 6

    Self-driving startup Turing gets AMD backing and adopts AMD GPUs

    Self-driving startup Turing gets AMD backing and adopts AMD GPUs

What to Watch

As autonomous driving technology advances, watch whether world models emerge as the critical capability that separates industry leaders from laggards—early investment in this technology could determine competitive advantage in both civilian and military applications. Meanwhile, keep an eye on how rapidly systems can move from teleoperation to true autonomy in unpredictable environments, and whether the startups competing in military autonomy (Forterra, Scout AI, Field AI, and Overland AI) can solve the real-time threat detection challenge that currently keeps human operators in the loop.

Sources

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