Microsoft (MSFT) and Google (GOOG) - AI Dominates Each EPS Call - Yet There Is One Key Difference
The punchline: Microsoft Azure hosts DeepSeek on its AI Foundry and GitHub as Azure is clearly becoming a marketplace for other companies’ AI models, most notably OpenAI. Contrast that to Google, which is 100% focused on its own proprietary AI model family - Gemini. Google does not aspire to be a cloud service for third-party AI models.
Common Themes Between the Microsoft and Alphabet EPS Calls:
AI and Cloud Dominance: Both companies emphasize their leadership in AI and cloud computing, with significant investments in infrastructure and capabilities. Alphabet highlights its AI models like Gemini and its cloud infrastructure, while Microsoft emphasizes Azure, AI-powered services, and its partnership with OpenAI.
Revenue Growth from AI: AI is a primary driver of revenue growth for both companies. Microsoft reports an annual AI revenue run rate of $13 billion (up 175% YoY), while Alphabet highlights AI-driven improvements across Search, YouTube, and Cloud.
Enterprise AI Adoption: Both companies mention increased enterprise adoption of AI tools. Microsoft emphasizes enterprise-wide deployments of AI with Copilot, while Alphabet discusses AI-powered Google Cloud solutions for businesses.
Infrastructure Expansion: Alphabet and Microsoft both report major investments in data centers, cloud regions, and AI-related infrastructure to meet growing demand. Microsoft notes it has doubled its data center capacity in three years, while Alphabet highlights new cloud regions and subsea cable projects.
Product and Service AI Integration: Both companies are embedding AI into their products. Alphabet integrates AI into Search (AI Overviews), YouTube, and Cloud, while Microsoft deploys AI in Office (Copilot), GitHub (Copilot for coding), and LinkedIn.
Advertising and Monetization: Alphabet discusses AI-driven improvements in search advertising, YouTube ad revenue, and Shopping experiences. Microsoft highlights AI-driven improvements in Bing Ads and LinkedIn marketing.
Financial Performance and Efficiency: Microsoft discusses operating margin expansion despite AI investments, while Alphabet highlights efficiency in AI training and cloud operations.
Common Sentiment Between the EPS Calls:
AI Agents: Alphabet and Microsoft are pushing the boundaries of AI and cloud capabilities, competing in areas like AI agents, enterprise AI adoption, and infrastructure expansion.
Strategic and Focused on Innovation: Both emphasize their unique strengths—Microsoft on enterprise AI solutions and partnerships, Alphabet on AI research and integration across its products.
Acknowledgment of Challenges: Both acknowledge challenges related to infrastructure constraints (Microsoft notes being AI capacity constrained, Alphabet discusses efficiency in cloud scaling) and the need for continuous improvements.