Facing Nvidia's near-total capture of AI data center revenue growth since 2022, AMD CEO Lisa Su made a "bet the farm" move. By granting OpenAI warrants for up to 10% of AMD, she aims to secure a critical design win for their next-gen chip, validating it as a viable competitor to Nvidia.

OpenAI's first in-house chip, Jalapeno, is more than an effort to reduce reliance on NVIDIA. It signals a long-term strategy to control the entire AI value chain, from hardware to models. This vertical integration aims to make AI compute more abundant, efficient, and broadly accessible.

Beyond generative AI, Lip-Bu Tan sees a massive opportunity in 'physical AI' for robotics and autonomous systems. Winning here requires more than just powerful chips; it demands a full-stack solution with co-designed hardware (XPU), software, and advanced packaging, all tailored for specific physical workloads.

AMD competes with NVIDIA not just on GPU performance but by leveraging its wider range of CPUs. These are crucial for agentic AI workloads requiring many parallel processes, giving AMD an advantage over NVIDIA's more limited, GPU-focused CPU offerings.

The partnership between AMD and Anthropic is a flywheel, not a one-way street. Anthropic uses its own AI models to help AMD speed up new hardware development and optimization. This deep collaboration tightens the software-hardware integration, creating a powerful competitive advantage.

AMD's success isn't just about stealing market share from competitors. The rise of 'agentic inference' in AI is massively expanding the total addressable market for data center CPUs. This creates a "share-grabbing" scenario where new demand provides greenfield growth opportunities for all major players.

To remain competitive, chip makers like AMD and Qualcomm must evolve beyond optimizing low-level kernels. The new battleground is a vertically integrated "intelligence layer"—offering their own highly-optimized foundation models tailored to their hardware. This strategy, pioneered by Nvidia with its NeMo framework, simplifies enterprise adoption.

The demand for AI processing power so vastly outstrips supply that it creates a "compute deficit." This forces major AI players to adopt any viable chip solution they can find, including from AMD. It's not about being better than NVIDIA; it's about being available, ensuring a market for second and third-tier suppliers.

Beyond selling chips, NVIDIA strategically directs the industry's focus. By providing tools, open-source models, and setting the narrative around areas like LLMs and now "physical AI" (robotics, autonomous vehicles), it essentially chooses which technology sectors will receive massive investment and development attention.