Breaking news

Nvidia’s $5.5B Hit: US Export Ban On AI Chips To China Shakes Global AI Race

Nvidia just took a $5.5 billion punch to the balance sheet—courtesy of the U.S. government’s latest move to tighten the leash on AI chip exports to China. The company’s most advanced processor available in the Chinese market, the H20, has now fallen under indefinite export restrictions, triggering a 6% slide in Nvidia shares in after-hours trading.

The decision, announced Tuesday, marks a major escalation in the U.S.-China tech standoff and underscores Washington’s growing concern over how AI hardware could fuel China’s supercomputing ambitions. The U.S. Commerce Department has now slapped licensing requirements not only on Nvidia’s H20, but also on AMD’s MI308 and similar chips. AMD shares dropped 7% after the news.

A Commerce Department spokesperson said the move reflects President Biden’s directive to safeguard U.S. national and economic security. Nvidia, meanwhile, confirmed the charges would cover unsold H20 inventory, outstanding purchase commitments, and related reserves.

A Workaround, Now Blocked

Nvidia had designed the H20 chip specifically to navigate around previous U.S. export limits—delivering toned-down performance but retaining high-speed interconnectivity. That design made the H20 attractive for AI inference tasks, an increasingly dominant segment of the market where models provide real-time answers rather than undergoing initial training.

Despite not being as powerful as Nvidia’s top-tier chips sold outside China, the H20 gained traction with major Chinese tech players including Tencent, Alibaba, and ByteDance. Reuters previously reported that demand surged after startups like DeepSeek ramped up development of low-cost AI models.

But that very design—optimized for high-bandwidth memory access and chip-to-chip connectivity—set off alarm bells in Washington. Analysts argue it still carries supercomputing potential, especially if deployed at scale.

“Likely In Violation”

A Washington, D.C.-based think tank, the Institute for Progress, didn’t mince words. In a statement Tuesday, it claimed that Tencent had already installed H20 chips in a facility likely used to train large AI models—potentially breaching U.S. export restrictions already in place. The group added that DeepSeek’s infrastructure, used for its latest V3 model, might also be in violation.

U.S. restrictions on chips used in supercomputing have been in effect since 2022. Now, the H20 is joining that list. Nvidia said it was formally notified on April 9 that the chip would require an export license—and on April 14, that the restriction would be indefinite. Whether the U.S. will issue any such licenses remains unclear.

A Fork In The Road

This latest move throws a wrench into Nvidia’s China strategy, just as demand in the region for generative AI tools is accelerating. It also highlights the growing friction between global innovation and geopolitical control—a tension Nvidia CEO Jensen Huang must now navigate carefully.

The setback comes one day after Nvidia unveiled plans to invest up to $500 billion into U.S.-based AI server infrastructure, working with partners like TSMC to align with American industrial policy.

Now, as Nvidia absorbs the financial blow and recalibrates, one thing is clear: the AI chip race isn’t just about performance anymore. It’s a front line in the broader battle over who controls the future of intelligent computing.

Crypto.com Leverages AI Revolution With Strategic Workforce Restructuring

AI Adoption Drives Strategic Restructuring

Crypto.com reduced its workforce by 12% as part of a shift to integrate artificial intelligence across its operations. CEO Kris Marszalek said in a post on X that companies not adopting AI risk falling behind. The company removed roles that do not align with its AI-focused operating model as part of the restructuring.

Preparing For Continued Success

Reorganization aims to adjust operations to new technology requirements. The company said a smaller team supported by AI tools is expected to improve efficiency and support product development. A spokesperson confirmed affected employees have been notified.

Industry-Wide Implications

The move reflects broader trends across the technology sector, where companies are restructuring operations in response to AI adoption. Block recently announced layoffs affecting a significant share of its workforce, with CEO Jack Dorsey citing increased use of automation tools. Companies, including Meta and Atlassian, have also reduced headcount while reallocating resources toward AI and enterprise products.

High-Value Investments In AI

Crypto.com has also invested in AI-related assets. Earlier this year, Marszalek acquired the domain AI.com for $70 million, reflecting a focus on AI-related branding and positioning.

A New Paradigm For The Tech Sector

AI adoption is driving changes in how technology companies structure operations. Workforce reductions across the sector, including Meta’s anticipated 20% cut and Atlassian’s 10% reduction, reflect a shift toward efficiency and increased use of automation.

Crypto.com’s restructuring and recent investments illustrate how financial technology companies are adapting to AI integration. Changes across the sector indicate a move toward leaner operating models and greater reliance on AI-driven processes.

The Future Forbes Realty Global Properties
Aretilaw firm
eCredo
Uol

Become a Speaker

Become a Speaker

Become a Partner

Subscribe for our weekly newsletter