Anurag Rana

Speaker states Amazon's AI revenue run rate is $5B in Q1, AWS growth is improving due to itself and Anthropic, and capex will increase. Notes differentiation via in-house chips reduces Nvidia costs. Strong AI demand and proprietary chip development translate to improved cloud growth rates and better economics, justifying the market's positive reaction to increased investment. LONG due to accelerating growth in the core AWS business driven by AI adoption and strategic vertical integration. AI revenue growth fails to materialize at projected rates, or capex intensity outweighs profitability gains.

The selloff in AI infrastructure stocks (NVIDIA, Microsoft, Amazon) due to OpenAI missing internal targets is overdone because these companies have diversified customer bases beyond OpenAI, including hyperscalers with strong demand for AI compute. The dip presents a buying opportunity, except for Oracle which is overly dependent on OpenAI.

The selloff in AI infrastructure stocks (NVIDIA, Microsoft, Amazon) due to OpenAI missing internal targets is overdone because these companies have diversified customer bases beyond OpenAI, including hyperscalers with strong demand for AI compute. The dip presents a buying opportunity, except for Oracle which is overly dependent on OpenAI.

They added $29 billion more of RPO on the balance sheet but they are not going to raise the 2026 capex. By holding capex steady at $50 billion while significantly growing backlog and revenue visibility, Oracle proves it can capture AI market share without destroying its balance sheet or free cash flow. This alleviates the market's primary fear regarding the stock's debt load and cost of capital. LONG. Oracle is successfully transitioning into a top-tier cloud hyperscaler with disciplined capital allocation. High weighted average cost of capital (12%) and negative free cash flow could become problematic if AI demand unexpectedly decelerates.