Meta’s massive Azure spending shows how AI is reshaping tech competition, with rivals increasingly becoming customers as infrastructure emerges as the new battleground.
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OpenAI once prominently promoted an AI super app, but its disappearance from Sarah Friar’s latest strategic update raises questions about whether the concept has quietly become vaporware.
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.
Google Cloud and Mahindra are bringing Gemini Enterprise directly into vehicles, demonstrating how AI is moving beyond traditional digital environments and becoming embedded in physical-world endpoints.
Marc Benioff’s Salesforce is betting that combining Anthropic’s AI momentum with its massive enterprise presence can unlock new opportunities for customers and accelerate its AI strategy.
Oracle is expanding its Google Cloud partnership by bringing Gemini models across its enterprise AI portfolio, strengthening its flexible, multi-model approach to enterprise AI.
Bill McDermott is combining ServiceNow’s AI Control Tower, cybersecurity, and governance capabilities to give CEOs greater certainty and control as enterprise AI creates unprecedented risk and complexity.
AI agents are beginning to outpace Copilot licenses, signaling that organizations are creating increasingly valuable custom automation across the Microsoft ecosystem.
Microsoft and more than 20 tech companies urge U.S. lawmakers to protect open-weight AI models, arguing openness drives innovation and competition.
AI is dramatically accelerating software development, but Cedric Wells argues that organizations must balance rapid innovation with architecture, security, governance, and quality assurance to safely move AI-generated solutions into production.
Hyperscalers are embracing unprecedented financing strategies and partnerships as AI demand forces massive investments in next-generation data center infrastructure.
Microsoft is shifting Copilot Cowork to usage-based pricing while exploring lower-cost AI models, signaling a strategy focused on performance, economics, and customer choice.
Enterprise AI growth increasingly depends on implementation expertise rather than model capabilities alone.
Dona Sarkar says AI has yet to find its defining mainstream use case, and the companies preparing now will be best positioned when that breakthrough moment arrives.
OpenAI’s new token management tool highlights a deeper challenge: CEOs, not AI administrators, must decide how scarce AI resources are allocated across the business.
A cautionary look at AI adoption, highlighting how poorly chosen use cases and immature implementations can create more operational disruption than business value.
KPMG and Microsoft are expanding their partnership to help enterprises deploy agentic AI at scale through standardized governance, deployment, and management frameworks.
As AI spending surges, AWS argues that companies cannot ignore technical debt, which continues consuming substantial IT resources that could otherwise fuel innovation.
Nick Leamon and Chad Dickerhoff explain how AI sales order agents automate manual workflows, translating customer requests directly into ERP-ready business operations.
OpenAI is accelerating its enterprise AI ambitions with a new partner network, deployment company, and plans to certify 300,000 consultants by year-end.