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Enterprise AI Is Entering Its ‘Own vs. Rent’ Phase | by Shubham Goswami | Jul, 2026 | Medium
Ed Sim’s What’s Hot #505 coined a term worth keeping: Forward Deployed Extractors. His argument: when OpenAI, Anthropic, or Google send teams into your enterprise to “help you deploy AI,” every CIO should ask whether those engineers are building your company’s AI...
Paolo’s Weblog | We the People
A company’s Backbone skill, the single document every human and AI agent reads from, is really its constitution. And the most important thing a constitution contains is the rules for changing itself. Go to Source
Enterprise AI Agents Are Runtime Products | Focused Labs – DEV Community
Enterprise AI agents are runtime products. Teams get tricked thinking they bought a ‘clever model wrapper’ (a Deep Agents agent), but the real work goes on in code, network egress, credentials, traces, evals, deployment revisions, and audit receipts. Go to...
OpenAI introduces ChatGPT Work, a cloud-based AI agent that manages tasks across email, Slack and calendars | VentureBeat
OpenAI on Thursday launched ChatGPT Work, a new AI agent embedded inside its flagship chatbot that aims to transform ChatGPT from a question-and-answer tool into an autonomous work platform capable of executing complex, multi-step tasks across users' email, calendars,...
Agentic AI Strategy for CIOs and CTOs in 2026 | BCG
A conversation with BCG’s Mark Abraham and Neveen Awad Go to Source
The Rise of Harness Engineering: Reimagining Enterprise AI with Google Cloud Agent Platform | by Abhishek Sharma | Jul, 2026 | Medium
For most enterprises, the honeymoon phase of prompt engineering is officially over. The initial magic of watching a chat model answer simple queries has faded, replaced by the daunting operational reality of deploying autonomous, tool-executing agents into...
From Systems to Recursive Systems: Why Enterprise AI’s Next Evolution Is Organizational Learning | by Michelle Parke | Jul, 2026 | Medium
If the defining enterprise AI platforms of the coming decade are distinguished by their ability to coordinate work rather than merely automate discrete tasks, then the logical question becomes what transforms coordination into intelligence. The answer is not larger...
The Next Phase of Enterprise AI Is About Decisions, Not Experiments — The Information
Go to Source
The July 2026 Frontier: Muse Spark 1.1, Grok 4.5, GPT-5.6 Sol, and the Two Claude 5s
Five frontier models shipped or updated inside one month. Meta's Muse Spark 1.1 landed July 9. Grok 4.5 landed July 8. OpenAI pushed GPT-5.6 with its Sol flagship on July 9. Anthropic's Claude Fable 5 and Claude Mythos 5 have been out since last week and still hold...
Small Businesses Don’t Need an AI Department
Small businesses don't need an AI department; they need to fix leaky processes. We must stop copying corporate giants and build practical, never-sleeping workflows instead. Go to Source
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Recent Briefings
The Token Apocalypse & Agentic Ecosystem Design
The path towards reliable agentic AI infrastructure in the enterprise continues to offer up new surprises, and the recent panic around token costs is a case in point that has focused minds on the cost-benefit analysis of different models. But perhaps model choice is...
Context, Codification & Cognitive Capabilities
Context & Codification are still hard problems A lot of enterprise AI investment has gone into models and prompt quality. But there is a growing body of evidence that points to the main constraints on reliability, cost, and organisational capability still being...
Don’t Outsource Agentic Capability Design
For the past couple of weeks, I have been interviewing senior function heads and operational leaders in a large hi-tech firm as part of an AI literacy programme. What struck me most was not their enthusiasm for AI, but the degree to which they already know what they...
Agents are Easy; the Agentic Enterprise is Not
Agentic AI is showing great promise in coding and personal productivity, but the shift from personal to organisational agent usage in the enterprise is harder and more complicated than it looks. It also heralds a profound shift in what we consider to be ‘work’ and...
CHROs as Systems Architects not Programme Owners
Enterprise AI-led transformation is changing the focus of most leadership roles to a greater or lesser extent, but one of the most impacted is likely to be the HR function and CHRO roles in particular. CHROs are being asked to lead AI transformation, ensuring...
Embrace the Human to Overcome the AI Capability Absorption Gap
The Capability Absorption Gap in enterprise AI is widening, not narrowing, as model and tool development outstrips the ability of incumbent business leaders to adapt to what it makes possible. Adoption programmes are not cutting it, and their focus on getting people...
Agents at the Ready? Yes and No…
Agentic AI capabilities are developing within several pace layers at once - economic, infrastructure, capability readiness, and knowledge engineering - and it is getting harder to stay on top of these developments whilst tracking their interdependence. But...
Agents of Progress or Agents of Chaos?
The OpenClaw moment we covered a few weeks ago was a wild ride. But in the age of YOLO, Hodl and r/wallstreetbets, it should come as no surprise that there is an apparently limitless supply of people willing to hand over control of their personal computer to AI agents...
Agents on the Night Shift
Andrej Karpathy’s new autoresearch tool recently ran 700 experiments on his nanochat codebase in two days. It found 20 improvements he had missed, delivering an 11% uplift in output. Tobi Lütke at Shopify tried it on his own hand-tuned model: 19% improvement,...
Humans in the Loop or in the Soup?
Enterprise AI governance, security and safety are challenges that will require a multi-domain approach and imaginative solutions that combine technology, human factors, knowledge engineering and codification. These are issues that cannot just be delegated to CSOs and...