In February 2026, LinkedIn reported that non-brand, awareness-driven B2B traffic had fallen by as much as 60% as AI-powered search experiences answered questions directly instead of sending clicks to websites, and said it was moving away from traditional SEO metrics toward visibility-based measurement. For any business that relies on being found, this is the clearest signal yet that the old playbook is expiring.
In January 2026 the University of Manchester became the first university in the world to give every student and staff member access to Microsoft 365 Copilot, paired with training on responsible use. Whatever you think of the specifics, it’s a useful case study in something most organisations are about to face: what happens when an AI assistant goes from a pilot with twenty people to everyone, all at once.
The AI headlines in January 2026 marked a quiet but real change in direction. Instead of another round of “our model has more parameters,” the major labs and cloud providers spent the month talking about routing, tool use, and structured reasoning — getting more value out of each token rather than simply making models larger. For anyone budgeting for AI this year, that shift matters more than any single model release.