Supply Chain Constraints: The rapid adoption of AI across industries is straining the supply of critical components like GPUs, leading to potential shortages and increased production costs.
Technical Complexity: Developing AI chips involves overcoming significant technical challenges, including achieving high yields from advanced manufacturing processes.
Investment and R&D: AI chip development requires substantial investment in research and development, with companies pouring millions into new technologies.
Regulatory and Ethical Issues: Navigating regulatory landscapes and addressing ethical concerns, such as data privacy.
Market Competition: The competitive landscape is intense, with major players like Nvidia, Intel.