Bloomberg Businessweek Daily: Big Tech Bonanza (Podcast)

Big Tech firms Meta, Microsoft, and Alphabet posted strong quarterly results, often exceeding revenue and earnings estimates, with Alphabet's cloud unit benefiting from AI demand. However, all three companies announced or reported significant increases in capital expenditures, primarily for AI infrastructure and data centers, raising investor concerns about the escalating costs of AI development and its impact on future profitability, exemplified by Meta's shares dropping on its expense outlook and Microsoft's higher-than-expected spending.

Analysis

Meta Platforms, Microsoft, and Alphabet all reported robust quarterly sales, largely exceeding analyst estimates, with Alphabet's third-quarter sales reaching $87.5 billion against an $85.1 billion estimate, and Meta's sales hitting $51.2 billion against $49.6 billion. A key driver for Alphabet was its cloud unit, benefiting from surging demand from AI startups. However, this strong top-line performance is overshadowed by significantly increased capital expenditures across all three tech giants, primarily for AI infrastructure and data centers.

Meta expects a significant increase in total expenses by 2026 and will continue historic spending on AI, leading to its shares dropping in extended trading despite a strong underlying net income increase of 19% to $18.6 billion (excluding a one-time tax charge). Microsoft's first-quarter capital expenditures, including leases, climbed to $34.9 billion from $24 billion, exceeding Wall Street expectations. Alphabet also raised its full-year CapEx guidance to $91-93 billion, up from an earlier $85 billion estimate, to push progress in AI.

The market's reaction reflects a mixed sentiment, with a general sentiment score of 0.1 and an uncertain tone. While Alphabet garnered positive per-ticker sentiment (0.7) due to its cloud performance and AI integration (Gemini), Meta (-0.3) and Microsoft (-0.5) faced negative sentiment. This divergence highlights investor scrutiny over the escalating costs of AI development and the potential for these investments to impact future profitability, especially if ad sales slow for companies like Meta, which uses ad profits to fund its AI ambitions.

Key Decisions for Investors

• Investors should closely monitor capital expenditure trends and their impact on free cash flow and future profitability, particularly given the escalating costs of AI infrastructure across Big Tech.
• Evaluate the differentiation in AI investment strategies, distinguishing between immediate revenue-generating AI applications (e.g., Alphabet's cloud) and longer-term, higher-risk AI initiatives (e.g., Meta's future expense outlook).
• Be prepared for potential margin compression across Big Tech as these significant AI investments mature, and assess the return on investment for these substantial outlays.