TNB Tech Minute: Samsung Will Spend Over $70 Billion in AI Chips Race

2026-03-19 · Source: WSJ Tech News Briefing · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

Samsung plans to invest over \$70 billion this year to dominate artificial intelligence chip manufacturing, funneling funds into facilities, R&D, and M&A across AI, advanced robotics, and automotive electronics to secure leadership in the "AI semiconductor era." Concurrently, electric vehicle startup Rivian is partnering with Uber, aiming to deploy 10,000 fully autonomous Rivian R2 SUVs by 2028, with Uber investing up to \$1.25 billion contingent on regulatory approvals and milestones. This marks a significant technological leap for Rivian, which currently offers only supervised hands-free driving. Meanwhile, federal safety regulators are expanding an investigation into Tesla's automated driving assistance system, citing concerns about its performance in poor visibility conditions and its failure to alert drivers, following several crashes including a fatal one. This probe escalates to an engineering analysis, potentially leading to a recall, just a month before Tesla's anticipated robotaxi production launch.

Key takeaway

For tech executives evaluating strategic investments in AI or autonomous systems, you should recognize the escalating capital requirements and regulatory risks. Samsung's \$70 billion commitment highlights the intense competition in AI chip manufacturing, while the Uber-Rivian partnership signals a shift towards collaborative, capital-intensive robotaxi deployment. Simultaneously, the expanded NHTSA probe into Tesla's automated driving system underscores the critical importance of robust safety validation and regulatory compliance, which could significantly impact market timelines and product launches for your own initiatives.

Key insights

The race for AI dominance is intensifying across chip manufacturing and autonomous vehicle development, facing significant regulatory scrutiny.

Topics

• AI Chips
• Semiconductor Manufacturing
• Autonomous Vehicles
• Robotaxi Development
• Automated Driving Safety
• Regulatory Oversight

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Editorial summary, takeaway, and curation by AIssential. Original article published by WSJ Tech News Briefing.