The week, wrapped.

Uber’s Layoffs Could Show Where AI Job Cuts Will Hit Hardest — Uber is cutting 3,300 jobs in a move that it says will flatten its organizational structure, but the focus on management and smaller teams could offer an early indication of where AI-driven workforce changes may hit hardest as companies rethink how work is organized

Why AI Agents Need an Incident Plan, Not Just Guardrails — As AI agents move from generating answers to taking autonomous actions across enterprise systems, security teams face a new challenge: guardrails alone cannot prevent every failure, making the ability to detect, contain, investigate and recover from agent incidents increasingly critical

Workers Losing 20 Days to AI Troubleshooting, Report Finds — BambooHR research finds employees spend 42 percent of their AI time troubleshooting errors and refining prompts, compared with 35 percent on productive work. With 63 percent of organisations increasing AI budgets, the findings raise new questions about enterprise deployment ROI.

Why the Wrong Exec Hire Can Cost Millions in the AI Era — Kristian McCann speaks with Nada Usina, CEO of NU Advisory Partners, about why the burgeoning of AI has meant traditional skills have changed, and now organizations must look at assessing leaders for curiosity, judgement and learning velocity, not simply past experience

Workday Earnings Show Why It is Focusing on Better AI — Workday’s second-quarter results show AI becoming a more significant part of its growth, with the company reporting strong customer adoption of its agents while investing in research, development and partnerships designed to make enterprise AI more reliable and easier to deploy at scale