Two financing deals linked to OpenAI ran into trouble this week one over who guarantees a chip order, the other over how to value a private company. Neither is resolved.
CoreWeave's spending in a single quarter reached $7.7 billion, and it borrowed billions more, and still posted a $740 million loss. The numbers raise a question that the backlog alone cannot answer: how long can a company build at this speed before the math has to work?
From a 5-gigawatt Stargate campus in Abu Dhabi to a 70-billion parameter open-weight Arabic model and a $100 million sovereign AI startup fund, the United Arab Emirates is no longer just buying AI. It is building it. Here is a field guide to 25 of the companies that matter.
The shelf life of a professional skill is getting shorter every year. Enterprise leaders are confronting a fundamental question: traditional L&D cycles, annual programs, fixed curricula, are built for a world that no longer exists.
Mythos can autonomously find and exploit long-standing vulnerabilities across major operating systems. Over 50 global firms, including AWS, Microsoft, and Cisco, are using it, none from India.
OpenAI entered 2026 as the dominant force in generative AI. It is ending April with a different story. ChatGPT's share of generative AI web traffic has fallen from 86.7% to 64.5% in under a year.
Three leaders from fintech, brand strategy, and collaborative intelligence software are enforcing deliberate limits on what AI is permitted to decide. The evidence they have built is harder to ignore than the productivity dashboards.
Chegg built an empire selling students answers to homework questions. Then ChatGPT started giving those same answers away for free. What followed was one of the fastest corporate collapses in recent memory.
Seven senior leaders from healthcare, hospitality, insurance, real estate, B2B workspace, retail media, and MarTech sat with NervNow to answer one uncomfortable question: if AI is making everything faster, why is customer confidence going the other direction?
Nearly every enterprise surveyed is already running AI agents. Barely any have a coherent framework for controlling them, and confusing those two things is a leadership failure, not a technology one.
