Meta’s massive Azure spending shows how AI is reshaping tech competition, with rivals increasingly becoming customers as infrastructure emerges as the new battleground.
Cloud
Instead of searching across laboratory results, medications, and specialist documentation, clinicians can prompt Epic and receive required information inside ChatGPT using new OpenAI connector.
CIO Kenny Mullican notes that vertical AI platforms from Google Cloud eliminate the need for building custom interfaces and make it easier to roll out industry-specific use cases.
Microsoft, Salesforce, and UiPath are taking different approaches to free developer AI capacity as consumption emerges as an increasingly important metric for the enterprise technology industry.
AI monetization is moving upstream as rising agentic development costs push Microsoft and other vendors to charge builders for creating, testing, and executing AI-powered products.
AI tokens are getting dramatically cheaper, but agentic reasoning is consuming far more of them, creating a surprising new challenge for enterprise AI economics.
Microsoft’s latest Copilot Studio release — including the GitHub Copilot Harness — is more of an upgrade to the engine room of enterprise agents than a simple feature update.
After proving its custom silicon strategy with Maia 200, Microsoft is preparing a much larger Maia 300 push designed to support both AI training and inference.
Consolidated AI chatbots raise order values up to 26% at Albertsons, while WalMart’s in-store AI use requires employees to further train AI models with business context.
Microsoft’s Copilot Acceleration Team provides a rich, open-source repository of pre-written skills for specific tasks. Users need to exercise caution because they’re not supported product features.
Identity management, data loss prevention tools work together to ensure every AI agent action can be traced to the entity that triggered it for accountability.
Microsoft Research and Paige’s PRISM 2 combines nearly 2.5 million pathology images with clinical language, creating a versatile AI model for cancer detection, biomarker prediction, and research.
Agentic reasoning loops promise better AI answers, but could dramatically increase token consumption and costs as enterprise adoption grows.
Microsoft CEO Satya Nadella has confirmed plans for a Copilot super app that will unite chat, coding, Cowork and autonomous AI agents, creating a single flagship experience spanning both Microsoft’s consumer and commercial AI offerings.
AI vendors are moving toward consumption-based billing as rising token costs make traditional flat-fee and user-based licensing increasingly difficult to sustain.
Let agents discover and reason through the work, move repeatable parts into deterministic automation, and then use the agent as a supervisor and exception handler.
AI vendors are increasingly turning to forward deployment engineers as enterprises struggle to move AI pilots into production and consumption-based models grow.
Project Perception represents Microsoft’s push beyond reactive cybersecurity, coordinating red, blue, and green AI agents in a closed-loop system designed to continuously identify vulnerabilities, assess risks, implement fixes, and strengthen enterprise defenses.
July updates extend the company’s commitment to make a range of AI models and choices available to users. Models from OpenAI and Anthropic have been added.
AI agents are beginning to outpace Copilot licenses, signaling that organizations are creating increasingly valuable custom automation across the Microsoft ecosystem.