Models, margins and the business decisions behind applied AI. Reporting and analysis from Fathom Tech.
As artificial intelligence systems mature, infrastructure companies are thriving while software vendors face pressure. New AI agents promise automation but raise questions about whether adequate safeguards exist.
As AI and no-code platforms automate routine coding tasks, developers who shift focus from syntax to architecture and business strategy will find themselves more valuable than ever.
Financial services firms rushing to deploy agentic AI systems need to prioritize foundational data infrastructure and platform-level governance before building agents, according to Capital One's enterprise AI leadership.
As 90% of developers adopt AI coding assistants, organizations face mounting threats to intellectual property, operational accountability, and budgets—risks that traditional security frameworks were never designed to handle.