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AI Token Costs: Why Enterprise AI Bills Keep Rising in 2026
Analysis of 2.4 billion enterprise API calls shows the blended cost of AI dropped 67% year over year, from $18.40 to $6.07 per million tokens between Q1 2025 and Q1 2026. That number is accurate. It is also almost entirely irrelevant to what is actually happening to...
AI As Fuel For Organizational Change: The Biggest Market Of All
Across all the HR 2030 AI opportunities, change, training and enablement could be the highest ROI of all Go to Source
(14) Ontology Isn’t the Hard Part: Why Enterprise AI Fails at the Layer Beneath | LinkedIn
If you have been following the enterprise AI debate, you will have encountered a growing consensus: AI only works when anchored in structured context. Ontology, semantic layers, knowledge graphs — the terminology varies, but the argument is consistent. Without...
A New Look at AI’s Impact on Jobs
We study how employment changes when firms adopt generative AI using observed AI spending from Ramp card and bill pay data linked to Revelio Labs workforce records for 21,559 firms in the United States. We find that companies that adopt AI tend to grow faster...
AI-induced never-skilling in medical education | Nature Medicine
The integration of artificial intelligence (AI) into medical training is accelerating faster than the educational frameworks designed to govern it. This Perspective identifies a risk that has received insufficient attention: that trainees who rely on AI during the...
Shadow agents: How IT leaders must govern ‘headless’ AI before it breaks the enterprise | CIO
Invisible AI agents are running tasks inside your network without ever logging in, meaning IT leaders need a whole new way to track them. Go to Source
Google Just Quietly Released the Missing Piece for AI Agents. It’s Called OKF. | by Akhilvallala | Jun, 2026 | Medium
The Open Knowledge Format is the standard that makes agent memory portable, versioned, and readable by every tool you use. Go to Source
The Ontology system • Palantir
The Ontology is the system at the heart of Palantir’s architecture. The Ontology is designed to represent the complex, interconnected decisions of an enterprise, not simply the data. This enables both humans and AI agents to collaborate, across operational workflows...
Building an Enterprise AI Knowledge Assistant: Why It Turned Into a System Design Project | by Rutwik Patil | Jun, 2026 | Medium
When I started designing an Internal AI Knowledge Assistant, I thought I was building an AI application. A few weeks into the design, I realized I was actually building a distributed system. The AI model — the part everyone talks about — is only one small component of...
Designing Enterprise AI Capability Maturity Models
Artificial Intelligence has rapidly moved from experimentation to becoming a strategic business capability. Organizations across industries are implementing AI-powered chatbots, intelligent search systems, recommendation engines, automation platforms, analytics...
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Recent Briefings
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...
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...