Amazon.com IncImpact on stocks 8
Amazon.com Inc
Alphabet Inc Class C
Meta Platforms Inc.
Microsoft Corporation
NVIDIA Corporation
Oracle Corporation
S&P Global Inc
HSBC Holdings PLCHSBC Global Research remains bullish on the global artificial intelligence trade but warns that its next phase depends on concrete evidence that corporate monetization can keep pace with massive hyperscaler capital expenditures. Revenue drivers for frontier AI models show substantial momentum: Anthropic reached an annualized revenue run rate of $65B as of July, while OpenAI hit $40B. Corporate adoption, however, remains in early innings, with the median company spending just $12 per month per employee on AI models, while the top 10% spends $650 per month. HSBC notes that if the average S&P 500 company spent $650 per employee per month, annual spending would reach $250B—equivalent to just 5% of S&P 500 EBITDA. The capital investment landscape presents a timing challenge, with consensus expecting U.S. hyperscaler capex to reach $770B in 2026 and $1.1T in 2027, and S&P Global Ratings estimating more than $7T in data center and AI-related capex between 2025 and 2030. Free cash flow has already turned negative and is expected to remain under pressure until the end of 2027, with hyperscalers bridging the gap through external financing, including nearly $250B in debt issuance so far in 2026. Despite these pressures, demand signals remain strong, with remaining performance obligations across Microsoft, Amazon, Alphabet, and Oracle reaching some $2.35T in the second quarter of 2026, up from $815B one year earlier. HSBC's strategic recommendations favor emerging markets, particularly Korean memory, Taiwan semiconductors, and mainland China's semiconductor equipment and power infrastructure, and within the U.S., it prefers semiconductors over hyperscalers over software.
Amazon.com Inc
Alphabet Inc Class C
Meta Platforms Inc.
Microsoft Corporation
NVIDIA Corporation
Oracle Corporation
S&P Global Inc
HSBC Holdings PLC