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.
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AI tokens are getting dramatically cheaper, but agentic reasoning is consuming far more of them, creating a surprising new challenge for enterprise AI economics.
AI security is becoming an ecosystem problem, and Workday is joining forces with major technology companies to share knowledge and strengthen protections across enterprise AI.
Google Cloud and Oracle are emerging as an AI power pair, combining Gemini, Fusion applications, and Oracle AI Database to help customers accelerate enterprise AI transformation.
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.
Google Cloud’s infrastructure strategy gives frontier AI lab Mirendil the flexibility and scale needed to speed up the AI research loop.
Skill Recorder creates a foundation for AI to understand workflows, recommend improvements, and ultimately automate workflows, for on-demand or scheduled use cases.
Palantir’s rapid growth reflects an enterprise AI strategy centered on measurable customer outcomes, operational transformation, sovereignty, and deep long-term partnerships.
OpenAI has responded to the GPT-5.6-Sol security incident involving Hugging Face by strengthening cybersecurity safeguards, expanding its Daybreak program, and introducing GPT-5.6-Cyber for vetted defenders conducting advanced vulnerability research and security testing.
Salesforce scores a major AI win as the Pentagon approves its agents for autonomous tasks, reinforcing the security and governance credentials of its agentic infrastructure.
Enterprise AI’s next breakthrough will come from evaluating agents against real business workflows and continuously improving their performance with proprietary organizational knowledge.
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.
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.
ServiceNow CEO Bill McDermott is positioning the company as the enterprise AI Control Tower, combining governance, cybersecurity, workflow orchestration, integration, and automation to help customers manage the growing complexity and risks of enterprise AI.
AI vendors are increasingly turning to forward deployment engineers as enterprises struggle to move AI pilots into production and consumption-based models grow.