Buy Advanced Micro Devices (AMD) to capitalize on its newly announced $5 billion deal with Anthropic and growing data center market share. Accumulate Alphabet / Google (GOOGL) following its strong Q2 report, which featured a massive 24% year-over-year revenue growth driven by its accelerating cloud business. Position in Microsoft (MSFT) to indirectly capture the massive upside from OpenAI, which recently boosted its projected cloud compute spending to $750 billion through 2030. Focus on these AI infrastructure leaders over the next multi-year timeframe as enterprise adoption and token processing volumes scale rapidly.

Advanced Micro Devices (AMD)

• Announced Helios, a new rack-scale AI system powered by the MI450 accelerator.
• Secured a major 2-gigawatt partnership and $5 billion deal with Anthropic to deploy AMD Instinct MI450s and collaborate across compute and the software stack.
• Expanding its partnership with Cerebras to team up on AI inference, introducing a disaggregated inference solution.
• Powering the new Mod Retro M64 device.
• Emphasizes a heterogeneous computing philosophy (CPU, GPU, FPGA, and physical AI integration) rather than relying on a single "killer chip."

Takeaways

• AMD is successfully capturing high-profile enterprise and AI lab market share (such as Anthropic and Cerebras) to compete directly with NVIDIA in the data center and AI hardware space.
• Investors should view AMD as an end-to-end infrastructure provider playing aggressively in both cloud data centers and local edge compute (AI PCs and robotics).

Alphabet / Google (GOOGL)

• Posted strong Q2 results with overall revenue growing 24% year-over-year to $119.8 billion.
• Google Cloud accelerated to 82% growth, bringing in $24.8 billion, driven heavily by its cloud business and sales of TPU systems.
• Model APIs are processing 22 billion tokens a minute, powered largely by efficient flash models.
• Capital expenditures on AI infrastructure are pushing cash flow down, sparking market debate over the sustainability and monetization of heavy AI spending relative to legacy search.

Takeaways

• Google remains a dominant force in cloud computing and AI token volume, proving its ability to scale infrastructure despite rising capital expenditures.
• The market continues to monitor whether AI overviews and queries will sustainably monetize at parity with legacy search without hurting margins.

OpenAI (MSFT-backed)

• Boosted projected cloud compute spending to around $750 billion through 2030 (up from approximately $600 billion).
• Announced a $20 billion investment to kick off a data center project called Project Camilla in Effingham County, Georgia.

Takeaways

• OpenAI's aggressive capital commitments signal extreme confidence in ongoing scaling laws and the future demand for compute capacity driven by coding and agentic workflows.
• Hardware supply chain constraints and multi-year energy procurement remain primary operational hurdles for scaling operations this decade.