The transportation industry is in the middle of a quiet but significant reshuffling. General Motors laid off more than 600 salaried IT employees, roughly 10% of its IT department, but here’s the catch: it’s calling this a deliberate “skills swap.” The company isn’t replacing bodies one-to-one. Instead, it’s making room to hire people who can actually build with AI from the ground up.
This isn’t just GM flexing. Ford, GM, and Stellantis together have cut over 20,000 U.S. salaried jobs, representing 19% of their combined workforces at recent peaks. The justification offered is broad technological change, with AI playing a central role. But the real story is more specific: these companies need engineers who understand AI-native development, data engineering, model training, and prompt engineering. They don’t just need people who can use ChatGPT to write an email.
The shift feels almost clinical in its precision. Companies know exactly what skills they want, and they’re willing to pay the social cost of laying off workers who don’t have them.
When Real Use Cases Actually Exist
Not every company jumping into AI has figured out what it’s actually doing with the technology. But Samsara seems to have cracked something real.
For the last decade, Samsara has been mounting cameras inside millions of trucks for driver monitoring and liability purposes. That generates mountains of data. Rather than treating AI as a box to check, the company trained its own model to detect potholes and measure their deterioration rates. It’s now pitching this product to cities, including Chicago, under contract.
This is the difference between deploying AI as a buzzword and deploying it as a tool that solves a specific problem with existing data infrastructure. Samsara had the raw material already. Most companies don’t.
The Fundraising Machine Keeps Humming
While automakers downsize, the venture capital spigot shows no signs of closing. RJ Scaringe, founder of Rivian (and its spinoff Mind Robotics), has become something of a capital-raising phenomenon. According to reporting from TechCrunch, investors have poured $12.3 billion into Scaringe’s three startups across the past several years, not counting Rivian’s IPO proceeds or recent strategic deals with Volkswagen Group and Uber.
What’s interesting isn’t just the amount, but why it keeps flowing. Insiders and investors repeatedly mention Scaringe’s ability to give undivided attention in conversations, making people feel genuinely heard. It’s a reminder that fundraising, at its core, is still deeply personal. The multitasking culture that dominates tech may actually be working against founders and executives who want to move capital. Single-minded focus apparently still counts for something.
Meanwhile, smaller players are raising their own rounds. Arkeus, an Australian startup developing perception software for autonomous drones, raised $18 million in Series A funding. Aseon Labs, which has built a “depot in a box” for autonomous fleet charging and maintenance, emerged from stealth with Y Combinator backing. Rapido, the Indian ride-hailing company, raised $240 million at a $3 billion valuation. The business of transportation is being reimagined at every scale.
The Crashes Keep Happening
Tesla Robotaxis have crashed at least twice since July 2025 while under teleoperator control, according to information submitted to the National Highway Traffic Safety Administration. The crashes happened while someone was actually driving the vehicle remotely, which raises uncomfortable questions about what “autonomous” really means when humans are still in the loop.
Waymo, meanwhile, issued a software update to its nearly 4,000-vehicle fleet to help them avoid flooded roads. The company announced this as a recall, but here’s the honest part: it hasn’t actually solved the problem of how its vehicles behave in those conditions. It’s a patch, not a solution.
These aren’t minor edge cases anymore. As autonomous vehicle fleets scale up, the gaps in their perception and decision-making become harder to hide behind press releases.
What Comes Next
Redwood Materials, the battery recycling company founded by Tesla’s former CTO, has hired Deepak Ahuja as CFO. Ahuja was Tesla’s former finance chief and most recently led finance at Zipline, the drone company. His hiring suggests serious IPO preparation. The technology sector loves a good returning figure, especially one with operational pedigree.
Quantum Systems, a Germany-based drone startup backed by Peter Thiel, is reportedly in talks to raise around 600 million euros with Airbus and Blackstone as potential investors, according to Bloomberg reporting. That’s the kind of capital commitment that suggests drone technology is finally moving from venture-scale experiments to industrial infrastructure plays.
The broader pattern is clear: transportation and logistics are being rebuilt from the foundation up. Legacy companies are shedding workers while hunting for AI specialists. Startups are raising massive rounds on increasingly specific use cases. Some companies have figured out real problems to solve with AI. Most probably haven’t.
The gap between those two groups will likely determine which survive the next few years.
