Panelists also discussed international expansion. Wang said sustained investment and market scale are critical to global competitiveness, with differentiated technologies forming the foundation of that. Li acknowledged that geopolitical constraints persist but said companies can reach overseas customers by delivering value, with domestic competition increasingly pushing firms toward export markets.
The panelists were all in agreement that AI will continue to drive capital expenditure growth, with sustained investment and AI-driven manufacturing upgrades essential to maintaining competitiveness.
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Luke James is a freelance writer and journalist.\u00a0 Although his background is in legal, he has a personal interest in all things tech, especially hardware and microelectronics, and anything regulatory.\u00a0 ","collapsible":{"enabled":true,"maxHeight":250,"readMoreText":"Read more","readLessText":"Read less"}}), "https://slice.vanilla.futurecdn.net/13-4-19/js/authorBio.js"); } else { console.error('%c FTE ','background: #9306F9; color: #ffffff','no lazy slice hydration function available'); } Luke James Social Links Navigation Contributor Luke James is a freelance writer and journalist. Although his background is in legal, he has a personal interest in all things tech, especially hardware and microelectronics, and anything regulatory.
Kamen Rider Blade And MS wonders why people don't want to leave Windows 10 given all this nonsense Reply
alan.campbell99 I seem to recall Jensen saying something to the effect of China is nanoseconds behind the US on AI. Reply
beyondlogic alan.campbell99 said: I seem to recall Jensen saying something to the effect of China is nanoseconds behind the US on AI. jensen says alot of waffle Reply
usertests alan.campbell99 said: I seem to recall Jensen saying something to the effect of China is nanoseconds behind the US on AI. I don't think being 5-10 years behind on hardware manufacturing is such a big deal when they are legally buying some newer accelerators under slapdash policies, smuggling better chips in, converting 4090s into 4090 48GBs, etc. What they are managing to make isn't terrible: Huawei unveils new Atlas 350 AI accelerator with 1.56 PFLOPS of FP4 compute and up to 112GB of HBM — claims 2.8x more performance than Nvidia's H20 That leaves the software side, where optimizations can make less into more (e.g. TurboQuant). And you can also "steal" your competitor's model via distillation and get away with it. So they aren't too far behind, are putting in a lot of money, and have a lot of people looking for breakthroughs. Reply
Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
- Macro rates and liquidity can dominate flows
Reference reading
- https://www.tomshardware.com/tech-industry/semiconductors/SPONSORED_LINK_URL
- https://www.tomshardware.com/tech-industry/semiconductors/chinese-chip-industry-leaders-say-ai-demand-is-straining-equipment-and-talent-supply#main
- https://www.tomshardware.com
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Informational only. No financial advice. Do your own research.