Over the weekend, Nvidia Corp (NASDAQ:NVDA) CEO Jensen Huang pushed back against growing market speculation that custom AI chips from cloud providers could overtake Nvidia's GPUs, calling the idea fundamentally flawed.<h2>Nvidia CEO Rejects ASIC Takeover Narrative</h2>On Saturday, while speaking with reporters in Taipei, Huang dismissed reports suggesting that custom silicon, or application-specific integrated circuits or ASICs, could eventually surpass Nvidia's AI GPU shipments, reported DigiTimes Asia.&#34;I don't think so. And it doesn't make sense,&#34; Huang said, arguing that such claims underestimate the scale and complexity required to compete with Nvidia.While Huang acknowledged that ASICs will continue to coexist with Nvidia's products, he said they are unlikely to pose a serious threat. &#34;There's a place for ASIC all the time,&#34; he said, adding that it is &#34;ok&#34; for companies to experiment with custom chips.<h2>Nvidia's R&amp;D Scale Creates A Massive Moat</h2>Huang pointed to Nvidia's vast engineering and research investments as a key barrier.The company employs about 45,000 people focused on AI and computing and spends roughly $20 billion annually on R&amp;D. That figure, Huang said, could grow to $30 billion and eventually $45 billion in the coming years.To build something better, companies would need an engineering budget like Nvidia, Huang said, calling that level of commitment &#34;very rare.&#34;<h2>Rising Chip Complexity Favors Nvidia</h2>Huang also highlighted the increasing difficulty of chip design, describing Nvidia's Hopper architecture as manageable, Blackwell as &#34;so hard&#34; and the upcoming Rubin platform as effectively out of reach for competitors trying to keep pace.<h2>Full AI Infrastructure, Not Just Chips</h2>Unlike ASICs, which are often designed for narrow tasks, Nvidia builds an entire AI computing stack, spanning GPUs, CPUs, networking hardware, switches and software. Huang said this holistic approach delivers greater flexibility and lower total cost of ownership.<figure class="wp-block-embed is-type-rich is-provider-twitter wp-block-embed-twitter"><div><blockquote>Jensen Huang is basically saying custom chips from $GOOGL, $AMZN, $AMZN, $MSFT &amp; $META struggle to compete with $NVDA because Nvidia is singularly focused on AI acceleration at a scale no one else matches. CUDA is the default language developers build on, NVLink is still ahead… pic.twitter.com/KQYQT8CWYO— Shay Boloor (@StockSavvyShay) February 1, 2026</blockquote></div></figure><h2>Morris Chang Reemerges As Nvidia Leans On Memory Partners</h2>Earlier in the week, Morris Chang, the 94-year-old founder of Taiwan Semiconductor Manufacturing Co. (NYSE:TSM), resurfaced publicly for the first time in over a year, attending a private dinner with Huang.At the time, Huang told reporters that Chang is still mentally sharp and in high spirits, noting that their discussion was as perceptive and engaging as ever.After landing in Taiwan, Huang also said that the company works closely with all major high-bandwidth memory suppliers, including SK Hynix, Samsung Electronics (OTC:SSNLF) and Micron Technology Inc. (NASDAQ:MU) and depends on those partnerships to help meet surging demand this year.Nvidia earns high marks on Benzinga's Edge Stock Rankings for Quality, backed by strong price trend across short, medium and long-term timeframes.<figure class="wp-block-image size-full"></figure>Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Photo Courtesy: glen photo on Shutterstock.com

Nvidia CEO Jensen Huang dismissed concerns that custom AI chips from cloud providers could surpass Nvidia's GPUs, stating that such claims are flawed. He emphasized Nvidia's significant R&D investments, rising chip complexity, and comprehensive AI infrastructure as barriers to competition. Huang noted that while ASICs will coexist with Nvidia's products, they won't pose a serious threat. He highlighted the company's holistic approach to AI computing, which includes GPUs, CPUs, and software, as a key advantage over competitors.

- Nvidia CEO Jensen Huang rejected speculation that custom AI chips from cloud providers could surpass Nvidia's GPUs, deeming the idea fundamentally flawed.  
- He emphasized Nvidia's considerable investments in research and development, highlighting that successful competition would require unmatched engineering budgets, which are rare.  
- Huang noted that while ASICs will coexist with Nvidia's products, their narrow focus limits their competitiveness against Nvidia’s comprehensive AI computing stack.

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Jensen Huang Has No Fear Of Custom Chips From Tech Giants Eclipsing GPUs: 'Doesn't Make Sense'