Apple cuts 600 jobs after dropping self-driving car plans
Apple’s decision to cancel its long-rumored self-driving car and smartwatch display projects has led to about 600 layoffs, sparking debate over whether this reflects a strategic pivot toward AI or a failure to make the automotive gamble commercially viable. Commenters note that most of the roughly 2,000–5,000 staff on the car project were reportedly redeployed, but question why a cash-rich company could not find roles for the remainder and what this means for Apple’s reputation as an employer. The news also revives skepticism about the near-term prospects of fully autonomous vehicles and raises broader questions about job security, sunk costs, and the need for stronger social safety nets when large tech bets are wound down.
Scope of the layoffs and who was affected
- Car project reportedly had ~2,000–5,000 people; ~600 are being laid off, most others reassigned.
- Many assume those cut are automotive specialists (mechanical engineers, drivers, mechanics, car‑specific roles) whose skills don’t map well to Apple’s other products.
- Some car-related tech (e.g., SLAM) is said to have been repurposed for Vision Pro, but not all expertise transfers.
Layoffs: ethics, impact, and norms
- Some see this as “normal” fallout from canceling a big, failed project, and even a sign Apple is willing to take risks and exit when they don’t pay off.
- Others stress that 600 people are not “fat to trim” but humans; calling it “mass layoffs” is debated, with some arguing 600 in a company Apple’s size isn’t “mass.”
- One view: Apple could easily afford to keep them, and not doing so harms its reputation with talent.
- Counterview: Apple isn’t a charity; retaining staff without clear roles isn’t rational.
- Broader policy ideas emerge: stronger social safety nets, or even job-protection regulations vs. concerns about “zombifying” the economy.
AI vs. self‑driving and Apple’s strategic shift
- Some frame this as a pivot from self‑driving to AI; others note self‑driving already is AI, and that only certain AI skills (e.g., for cars) are being shed.
- Commenters recall the earlier “self‑driving gold rush” and contrast it with today’s “generative AI gold rush” and pursuit of AGI.
- Opinions diverge on self‑driving timelines: some expect strong growth within a few years; others see current robotaxis as niche novelties with no evidence of imminent breakthroughs.
Why the car project failed
- Multiple theories:
- Full self‑driving proved far harder than expected.
- The whole stack—tech, manufacturing, distribution, service, margins—was commercially unviable.
- Apple didn’t want to transform into a true car company with all its regulatory and industrial complexity.
- Some think Apple never truly intended a mass‑market car, but rather R&D leverage for things like CarPlay. Others insist they “genuinely tried” and simply exited when it didn’t pencil out.