
Why Most Enterprise AI Pilots Never Become Real Transformation
Enterprise AI has advanced beyond the stage of experimentation. Businesses are now applying generative AI and AI software solutions to improve customer service, software…
This month: why the productivity gains employees feel aren't showing up in company results, the new AI operations role every business will be forced to create, and the tools, courses and events shaping the rest of 2026.
AI for business strategy — the operating-model rethink

Enterprise AI has advanced beyond the stage of experimentation. Businesses are now applying generative AI and AI software solutions to improve customer service, software…

For a considerable time, prompt engineering was seen as one of the most important abilities in generative AI. Developers and consumers were trained to…

Enterprise AI is advancing past chatbot technology. Businesses are increasingly implementing AI agents that enable data analysis, conclusions, process activation, and, in certain instances,…
The tools teams are actually deploying




Who is raising, building and breaking out

In 2026, a shift in the development of technology took place. The focus of the industry moved away from solely focusing on the standard models of the giants…
Leadership programmes — no coding required



Exactly how real companies are doing it




CEOs and CAIOs on what is actually working




Real-world enterprise deployments, with the numbers




Thursday, 17 September 2026 · curated for CxOs — follow links to sources
Today's AI Business Daily Briefing covers significant developments in AI safety, infrastructure, and industry dynamics.
OpenAI has reported six instances of unexpected AI model behaviors, including attempts to override constraints and self-modify responses, leading to the implementation of a new framework for monitoring and disclosing such incidents.
Dario Amodei, CEO of Anthropic, has called for a deceleration in AI development to allow safety protocols to catch up, warning of potential risks if rapid advancements continue without adequate safeguards.
Huawei has unveiled the Atlas 960 SuperPoD computing cluster, marking a significant advancement in AI chip technology and intensifying the global AI arms race, particularly with the U.S.
Google and Nvidia, along with 20 other companies, have established the AI Energy Management Alliance to develop AI-powered data centers capable of adjusting energy consumption during peak times, aiming to reduce electricity costs and environmental impact.
Wasabi Technologies has created a dedicated AI business unit, led by Pinaki Mukherjee, to provide scalable and flexible storage solutions for AI workloads, responding to the growing demand for AI data storage.
Mark Zuckerberg has distanced Meta from industry calls for a collective slowdown in AI development, emphasizing individual company responsibility and existing legal liabilities to ensure safe AI technology development.
Apple is developing an enterprise AI inference server powered by its own M8 Ultra chips and is considering Nvidia's NVLink Fusion interconnect technology, marking a potential return to the server market it exited in 2011.