According to Jensen Huang, CEO of Nvidia, the rapid progress in artificial intelligence (AI) may face a “plateau” in the coming years due to limitations in chip scaling. Huang expressed concerns that the industry’s ability to continue scaling AI systems could be hindered by the slowing of Moore’s Law, which has driven exponential growth in computing power for decades. He highlighted the need for new computing architectures and breakthroughs in areas like quantum computing to overcome this potential bottleneck. Huang’s comments come as AI systems like ChatGPT have captured public attention, fueling excitement and concerns about the technology’s future impact. While acknowledging the impressive capabilities of current AI models, Huang cautioned that sustaining the rapid pace of progress may require overcoming fundamental challenges in hardware and computing power.