AI Regulation, Tooling Spend Caps, and a New Wave of Enterprise Agents

Claire and Peter run through a packed set of headlines shaping how AI is built, bought, and governed. In the US, a new executive order proposes a voluntary 30‑day national security review window for frontier models—signalling potentially slower, more staged releases and new procurement questions. Uber’s move to cap employee spending on AI coding tools highlights the shift from open-ended experimentation to usage controls and ROI measurement. On the security front, Android’s fake-call detection points to device-level verification as voice cloning rises, while Anthropic expands access to its Mythos cybersecurity model—boosting vulnerability discovery and raising the stakes for patching and disclosure workflows. They also cover ChatGPT’s reported 1B monthly users alongside growing competition, Microsoft’s new in-house MAI model family and its implications for cost and vendor risk, a cautionary but notable quantum update with Majorana 2, Google Search’s push toward conversational answers with ads embedded in responses, and Workday’s governed approach to building agents on HR and finance data. The throughline: governance, verification, and value discipline are becoming the default operating model for AI.About Six & FlowSix & Flow is a digital transformation consultancy helping businesses adapt, grow, and thrive in a fast-changing world. We specialise in AI, CRM, and revenue operations, blending strategy, technology, and creativity to deliver measurable impact. From scaling startups to global enterprises, we partner with ambitious teams to unlock growth through smart automation, customer-centric marketing, and forward-thinking sales enablement. Learn more at sixandflow.com. Hosted on Acast. See acast.com/privacy for more information.