$NVDA CEO Jensen Huang on OpenAI Chip: 'Projects Get Canceled'

Nvidia Chief Executive Officer Jensen Huang has dismissed concerns surrounding OpenAI's reported development of its own custom chip, asserting that many such projects are initiated and subsequently discontinued. Huang expressed unwavering confidence in Nvidia's ongoing ability to supply the artificial intelligence industry, even as clients explore alternative processing solutions.

### Story Arc / How We Got Here Nvidia's Q2 earnings report on August 26 could significantly influence investor sentiment in the AI chip sector, with the market watching if Nvidia can maintain its growth momentum against competitors like Advanced Micro Devices. Ahead of that report, Nvidia's CEO addressed customer-led chip development. Prior coverage: [Nvidia Earnings May Shift AI Chip Focus From AMD](/explore/nvidia-earnings-may-shift-ai-chip-focus-from-amd).

### Money Play - NVIDIA CEO Jensen Huang's commentary on customer-developed chips highlights the ongoing demand for GPU supply chain assurance; investors should watch how hyperscalers balance custom silicon initiatives with NVIDIA's sustained output.

## Catalyst Analysis: Executive Commentary on Customer Chip Development Nvidia CEO Jensen Huang's remarks on OpenAI's chip initiative underscore the dynamic nature of the AI hardware landscape. While acknowledging that customers are exploring proprietary silicon, Huang's stance suggests a belief in Nvidia's continued dominance in providing essential computing power for AI development and deployment. This perspective indicates that while diversification efforts are underway, the fundamental need for Nvidia's advanced GPUs remains robust.

### Supply Chain & Competitive Map OpenAI's reported chip development signifies a broader trend among major AI players to build custom hardware, potentially reducing reliance on single vendors. However, Nvidia's established infrastructure and technological lead in high-performance computing for AI remain significant advantages.

### Policy & Export-Control Angle N/A

### CapEx & Hyperscaler Implications Hyperscalers like Microsoft and Google continue to invest heavily in AI infrastructure. The development of custom chips by entities such as OpenAI is part of a strategy to optimize performance and cost for specific workloads, but it does not necessarily preclude ongoing significant procurement of Nvidia's GPUs, especially for broader research and general-purpose AI training.

## $NVDA+WL Technical Analysis & Key Risk Watch

Key levels for $NVDA+WL (educational): R2 $210.47 · R1 $208.65 · last $208.48 · S1 $208.34 · S2 $206.50.