This roundup breaks down the week’s biggest AI shifts for real-world operations: major gains in inference speed, smaller models optimized for high-volume tasks, and open models converging on multimodal and agentic workflows. It also highlights the growing focus on governance and control—designing automation around approvals, auditability, and data boundaries so SMB teams can scale output without scaling headcount.





























































































