AI Green Shoots from Microsoft, Amazon and Google

Microsoft and Amazon quarterly earnings will not put all concerns about artificial intelligence capital investment to permanent rest. 

But the news is encouraging. Microsoft’s commercial remaining performance obligation (RPO) hit $678 billion in the second quarter, up 84 percent year over year. 

That’s more than double the company’s entire annual revenue of $332 billion. 

Microsoft CFO Amy Hood confirmed that all sequential RPO growth came from customers outside the major AI model makers. 

In other words, regular enterprises are locking in multi-year Azure commitments. 

Google capex continues to worry investors, as do Oracle debt burdens and Meta cash flow. But revenue performance of the sort Microsoft and Amazon are showing, plus growth at Google, suggest high-performance-computing services are generating direct revenue growth. 

Company	Cloud business	Q2 2026 evidence	Why it indicates AI demand
Amazon	AWS	AWS revenue grew 37% YoY to $42.2B, the fastest growth in more than four years. Contract backlog reached $496B. AWS AI and custom-chip businesses each exceeded a $25B annual run rate. (reuters.com)	Management attributed much of the acceleration to generative AI training and inference workloads. Capacity remains constrained despite massive investment.
Microsoft	Azure	Azure revenue increased 43%. Microsoft Cloud reached roughly $59.3B quarterly revenue. Microsoft 365 Copilot surpassed 30 million paid seats. (AP News)	AI workloads are driving Azure consumption while Copilot directly monetizes generative AI software.
Alphabet	Google Cloud	Google Cloud continued exceptionally rapid growth (roughly 60%+), while management repeatedly highlighted AI infrastructure demand and Gemini adoption. (Futurum)	Google now sells both AI infrastructure and AI models, creating two complementary revenue streams.

Also, management teams increasingly argued that AI is now contributing to revenue growth not only in cloud computing but across multiple business lines.

Company	Business segment	Evidence AI contributes
Amazon	Advertising	Advertising revenue increased about 26%. Amazon attributes improvements partly to AI-powered advertising optimization and conversational shopping experiences that improve conversion. (Amazon News)
Amazon	E-commerce	AI-powered product discovery, recommendation systems, inventory forecasting, robotics and delivery optimization contribute to higher retail productivity and better customer experience. Management highlighted record Prime delivery speeds. (AP News)
Amazon	Semiconductor business	Trainium and Graviton chips are now substantial businesses supporting both AWS customers and Amazon's own infrastructure. (MarketWatch)
Microsoft	Microsoft 365	Copilot subscriptions generate entirely new recurring revenue while encouraging premium licensing upgrades. (AP News)
Microsoft	GitHub	GitHub Copilot has become one of Microsoft's fastest-growing developer products, increasing Azure consumption while adding subscription revenue. (The Times of India)
Microsoft	Dynamics & Business Apps	AI assistants increase customer willingness to purchase higher-value enterprise software bundles, although this remains a smaller contributor than Azure. (AP News)
Alphabet	Search	AI Overviews and Gemini improve search engagement while preserving advertising volume. Google continues to report healthy Search revenue despite AI-generated answers. (blog.google)
Alphabet	Advertising	AI improves targeting, campaign optimization and automated creative generation for advertisers. This raises advertising effectiveness rather than replacing advertising. (blog.google)
Alphabet	Workspace	Gemini subscriptions create a growing AI software revenue stream alongside traditional productivity software. (blog.google)

The strongest evidence of AI-driven revenue remains in the cloud businesses, where AWS, Azure, and Google Cloud all reported exceptionally strong growth tied directly to AI workloads. However, the second quarter 2026 results also suggest AI is beginning to enhance the economics of legacy businesses rather than simply creating new standalone AI products.

For Amazon, AI appears to be improving retail operations, logistics, advertising, and semiconductor sales. 

For Microsoft, AI is increasing the value of Microsoft 365, GitHub, and business applications in addition to Azure. 

For Alphabet, AI is strengthening Google Cloud while also supporting Search, advertising, and Workspace.

Though all concerns have not been vanquished, the revenue evidence investors wanted is starting to show up in the financial results, at least from some of the leading hyperscalers making huge investments.