• Firms risk scaling AI spending without defined returns, while venture capital subsidies may obscure the true cost of frontier models.
• Proprietary data offers competitive advantage as models become commodities, but costly preparation should target workflows with measurable returns.
• Enterprise-grade tools for governing AI agents remain immature, leaving firms choosing between inadequate purchased tools and rapidly obsolete internally built systems.
• EU AI Act obligations phase in over several years, requiring firms to identify requirements applicable to their use cases.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Channel Capital Advisors LLP published the original content used to generate this news brief on November 10, 2026, and is solely responsible for the information contained therein.