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OpenAI's new CRO signals enterprise battle heating up

Image via Wired

Wednesday, December 10, 2025

OpenAI's new CRO signals enterprise battle heating up

OpenAI's making a serious enterprise play by hiring Slack CEO Stewart Butterfield as Chief Revenue Officer (yikes, that's a power move for B2B dominance), while Anthropic and Accenture are training 30K professionals on Claude to scale enterprise adoption. Meanwhile, Google's betting big on AI-powered smart glasses with Project Aura and Gemini 3 Pro launching in 2026, Anthropic donated its Model Context Protocol to the Linux Foundation's new Agentic AI Foundation, and researchers just discovered you can unlock hidden reasoning in base models with a training-free sampling technique that matches reinforcement learning performance (wild). Would you trust an AI running on your glasses?

Top Stories

1
OpenAI Hires Slack CEO as New Chief Revenue Officer

Wired

OpenAI hires Slack's CEO Denise Dresser as Chief Revenue Officer to accelerate enterprise AI adoption, signaling the company's commitment to scaling AI tools across business operations and industries.

openaienterprise-aileadershipbusiness-development
2
Anthropic and Accenture Expand Enterprise AI Partnership

Anthropic

Anthropic and Accenture's expanded partnership creates a dedicated business group with 30,000 trained professionals to accelerate enterprise AI adoption from pilots to production, particularly in regulated industries where security and governance are critical.

anthropicenterprise-aillmpartnerships
3
MCP Donated to Agentic AI Foundation

Anthropic

Anthropic donates Model Context Protocol to Linux Foundation-backed Agentic AI Foundation, cementing MCP as a neutral open standard for AI agent connectivity with 10,000+ servers and major platform adoption.

mcpanthropicopen-sourceagents
4
Google's 2026 Smart Glasses Put AI Front and Center With Project Aura and Gemini 3 Pro

Google is expanding Android XR with new headset features and launching multiple AI glasses form factors in 2026, positioning itself as a comprehensive spatial computing platform while inviting developers to build the next generation of augmented reality experiences.

xrandroid-xrai-glassesspatial-computing
5
Reasoning with Sampling: Your Base Model is Smarter Than You Think

arXiv

Base LLMs are significantly more capable reasoners than standard sampling reveals—an inference-time MCMC-based sampling algorithm achieves RL-level reasoning performance without training, while preserving output diversity that RL-methods lose.

llminference-time-scalingmcmcreasoning

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