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Why AI Agents Are Starting to Dream – by Ken Huang
Most people hear “AI agents can dream” and understandably imagine something mystical: a model with an inner life, replaying its day in a machine version of REM sleep. The engineering reality is more interesting and more practical. In agentic AI, a dream is usually an...
CEOs Who Think AI Replaces Their Employees Are Just Bad CEOs | Techdirt
In the last three months I’ve had people forward me four separate examples of a CEO losing his or her mind over AI. What’s been striking to me is the similarity in each case: It would be an “all hands” email in which the CEO talks up how amazing LLM tools are and...
KPMG report contained AI hallucinations on benefits of . . . AI
Bogus case studies on UBS and transit systems exaggerated adoption of the technology Go to Source
The Yale Review | Melanie Mitchell: The Dangerous Unknowns at the…
The dangerous unknowns at the heart of LLMs Go to Source
Rethinking organizational design in the age of agentic AI | MIT Technology Review
Although 85% of organizations say they want to be agentic within the next three years, 76% say their current operations and infrastructure can’t support that change. They cite a lack of readiness across people, processes, and workflows. Go to Source
All the Ways Europe Is Ditching American Technology | WIRED
A WIRED timeline shows how dozens of governments, companies, and other organizations across Europe are moving, or planning to shift, away from US Big Tech. Go to Source
When AI builds itself Anthropic
For most of AI’s history, humans drove every step in its development cycle. But at Anthropic, we are delegating a growing share of AI development to AI systems themselves, which is speeding up our work. Go to Source
The Reshuffle Map – Reshuffle by Sangeet Paul Choudary
A map of the key ideas in Reshuffle. Each dot is one of the book's 27 ideas, grouped into four clusters; the lines show how they connect. Click any node to read it, or pick a thread up top to walk one strand of the argument end-to-end. Go to Source
How Cognizant aims to bridge the AI value gap | Constellation Research
Cognizant CEO Ravi Kumar said there's a gap between AI capabilities and enterprise value and the company plans to expand its addressable market by bridging that gap. Go to Source
Why Context Engineering May Become More Important Than Model Size – Logistics Viewpoints
In enterprise supply chains, operational context, memory continuity, and data coordination may matter more than simply deploying larger frontier AI models. Go to Source
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Recent Briefings
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…
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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...
Extraction vs. Redesign: The Hidden Fork in the Road for AI Leaders
This article is published as a free sample of the Shift*Academy paid edition. Every other week, the paid edition explores the structural implications of AI for leadership, organisational design and enterprise capability, with practical deep dives for leaders...
Schrödinger’s Optimism: AI and Productivity Signals
Schrödinger’s Optimism Reading news stories about the US stock market dip at the end of last week, you might think that serious economic and technology analysts are uncertain about the impact of AI on business and productivity. Selling or buying stocks is quite a...