New tools aimed at enforcing cost discipline include an AI pricing calculator, detection of spending anomalies, and spending caps for individual AI projects.
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Meta’s massive Azure spending shows how AI is reshaping tech competition, with rivals increasingly becoming customers as infrastructure emerges as the new battleground.
OpenAI prominently outlined plans for a unified AI superapp in March, but CFO Sarah Friar’s August description of the company’s AI-native stack makes no mention of it, raising questions about whether OpenAI has changed its strategy.
Companies are investing heavily in AI training, but many employees still struggle to apply AI to their everyday work. Role-specific education, protected experimentation time, accessible experts, and thoughtful incentives could help turn training into lasting adoption.
ServiceNow is rapidly building its cybersecurity presence, and three recent developments suggest Bill McDermott may see security as the company’s defining long-term opportunity.
Law firms that collaborated in platform design highlight industry AI opportunities to eliminate manual work and drive innovation for better client service.
Workday CEO Aneel Bhusri is increasingly bullish as rapid AI adoption, strong revenue growth, trusted enterprise context, and faster innovation strengthen Workday’s competitive advantage.
On the strength of customer design partnerships and an expansive ecosystem, Google Cloud delivers AI platforms that could unlock AI innovation in support of vertical use cases.
With AI run rate approaching $600 million and 5,500 customers using AI solutions, Workday is seeing powerful early evidence that its AI strategy is gaining traction.
The launch of ChatGPT for Teens highlights a broader shift in AI competition, as technology companies increasingly compete not only on model capabilities but also on trust, safety, education and their ability to build lifelong user relationships.
New features enhance positioning of Teams as a platform to support humans, agents working together to accelerate GitHub-powered dev projects.
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.
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.
AI tokens are getting dramatically cheaper, but agentic reasoning is consuming far more of them, creating a surprising new challenge for enterprise AI economics.
Google Cloud’s Gemini models are coming to Oracle applications, including Oracle AI Agent Studio for Fusion Applications, giving customers more flexibility to select models while turning AI reasoning into governed workflows, approvals, transactions, and business actions.
Gmail, Calendar, and Drive users can now access data and perform tasks directly from their Claude conversations, accelerating integration of AI tools and productivity tools.
Microsoft is reportedly tightening controls on internal AI token consumption, urging employees to choose models based on tasks and focus on business outcomes. The shift highlights growing enterprise pressure to balance AI performance with rapidly expanding infrastructure costs.
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.
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.
Skill Recorder creates a foundation for AI to understand workflows, recommend improvements, and ultimately automate workflows, for on-demand or scheduled use cases.