Microsoft (NASDAQ:MSFT) Chief Financial Officer Amy Hood said the company’s broad technology stack, enterprise relationships and focus on trust position it to remain relevant as artificial intelligence reshapes software and cloud computing.
Speaking at the Goldman Sachs Communacopia + Technology Conference, Hood described Microsoft as a platform company with infrastructure, management tools, applications, intelligence capabilities and an emerging agent layer. She said the company’s distribution network, sales organization and long-standing customer relationships are also important competitive advantages.
Enterprise AI and Multi-Model Strategy
Hood said enterprise discussions around AI have changed in recent months, particularly regarding intellectual-property protection and the ability to support multiple AI models. Microsoft supports more than 11,000 models on its platform, according to Hood, ranging from frontier and open-source models to specialized models and work from its internal MAI team.
She characterized Microsoft’s “frontier ecosystem” approach as enabling companies, organizations and countries to own their own continuous learning loops and benefit directly from the IP they create. Hood said broad access to AI could distribute economic benefits more widely while expanding the total addressable market for the technology industry.
Rather than focusing on predictions for the mix of frontier-model and open-source-model usage, Hood said customers are increasingly focused on outcomes and return on investment. The company’s goal is to use the appropriate mix of models to produce the needed result at the best value, she said.
Hood highlighted Microsoft Agent 365 as a product intended to help customers measure and manage AI spending. She said the company is applying similar principles in its own applications, seeking to deliver outcomes at lower cost where possible.
Azure Capacity and Infrastructure Efficiency
On Azure, Hood said the company remains focused on bringing capacity online and making hardware “revenue ready” more quickly. She said the company has reduced “dock-to-live” times by more than 50% over the course of a year, referring to the time needed to move hardware from delivery to revenue-generating deployment.
Efficiency work extends from physical infrastructure through software and application layers, Hood said. Improving throughput and reducing deployment times enables Microsoft to convert capital spending into revenue faster, with the impact generally reflected in Azure results during the quarter.
Hood distinguished between long-lived investments, such as construction and leases, and shorter-term capital expenditures driven by demand. She said the short-term priority is less about adjusting spending by a particular dollar amount and more about getting available supply into the system faster.
For longer-term capacity, Microsoft has entered long-term agreements across its supply chain to secure what Hood called “full sets” of required equipment and components. She also said companies need to focus on positive local community impacts as they pursue data-center projects.
On internal semiconductors, Hood said Microsoft’s strategy is to maintain competitive price-performance through a mix of internally designed and third-party components. She noted that the company’s Cobalt CPU will be deployed in roughly 25 data centers over the year and said Microsoft was encouraged by benchmarks released for its Maia chips.
Pricing, Copilot and AI Monetization
Hood said Microsoft is moving toward a mix of user-based and consumption-based pricing across parts of its software portfolio. User licenses remain important because customers value budget predictability, she said, while consumption pricing is better suited for AI services tied to units of work or measurable outcomes.
The company recently made changes to GitHub pricing, and Hood said the experience reinforced that users are willing to pay more when a high-quality product meaningfully improves productivity. At the same time, she said customers need controls, measurement and observability to manage consumption-based spending.
Regarding Copilot, Hood said higher usage can raise costs within fixed-price user licenses, but Microsoft has historically managed rising service costs through efficiency and productivity improvements. The company also aims to use the right model for each task, she said.
Hood said broader Copilot adoption could support demand for usage-based offerings such as Copilot Cowork. She described the combination of predictable user licensing and consumption-based tools as a way to create growth beyond a simple replacement of existing software budgets.
Reporting Changes and Agentic Workflows
Hood said Microsoft’s recent decision to re-segment its reporting reflects how the company now manages its operations. Coding, security and knowledge work are becoming more integrated within Microsoft 365, while agents, applications and infrastructure are increasingly delivered as a unified stack, she said.
Looking ahead, Hood said Microsoft is positioned to help enterprises deploy sophisticated agents in secure and regulated environments. The company’s advantages include access to work-related data and context through Work IQ, multi-model support, secure access to customer tenants and IP, frontier-model investments, and tools for developers to build applications.
“Agents and apps and humans will work together,” Hood said, adding that she believes Microsoft 365 can provide a secure and trusted environment for that transition.
About Microsoft (NASDAQ:MSFT)
Microsoft Corporation is a global technology company that develops software, cloud services, devices and digital solutions for consumers, businesses and public-sector organizations. Its products and services include the Windows operating system, Microsoft 365 productivity applications, Teams collaboration software, Dynamics business applications and Azure cloud computing services.
The company also operates LinkedIn, GitHub and Xbox, which includes gaming consoles, video games and related online services.
