Sharing our thinking in the open helps connect with others trying to advance the future of digital working. Our archive of articles and links is open and available below.
Enterprise AI Needs Leadership Ambition to Move Beyond the ‘Faster Horses’ Stage
Adoption vs Adaptation Constellation Research held their annual Connected Enterprise event last week, and unsurprisingly, enterprise AI was very much top of mind for many of the CIOs and analysts in attendance. But as Jon Reed reported for Diginomica, there are signs...
AI Round-up: Both Destroyer and Maker of Worlds?
Large, small, tiny & nano model developments After the recent release of GPT-5-Codex, Anthropic picked up the AI-enhanced coding baton at the end of September with the release of Claude Sonnet 4.5. Since then, results seem positive for both models, which means we...
Doing the Work: Why Learning is Key to Agentic AI Success & Avoiding Workslop
Agentic AI is starting to demonstrate real capabilities and promise. In the consumer space, OpenAI seems to be moving towards specific agentic apps as a way to popularise and monetise its underlying models, as Nathan Lambert covers today. But in the enterprise,...
Enterprise AI is a Social Technology, Not the Sorcerer’s Apprentice
Magical Realism Humans appear to use some very primitive sorting algorithms when presented with new discoveries, such as is it a God? … and … could this magic kill us all? In debates around AI, this tendency is creating increasingly polarised viewpoints and judgements...
Collaborative Architectures for Agents, People & Machines
We are working on some innovative learning projects to help leaders understand what agentic AI could mean for their roles and their organisations, and to help with readiness for adoption; so I have been reading about overcoming barriers and blockers relating to...
The Growing Importance of Context Engineering for Leaders Adopting AI
We have been thinking a lot recently about how to help business leaders understand, direct and deploy AI in their organisations without needing to become technical domain experts. Traditional approaches to learning, change and technology adoption increasingly feel...
Will AI be ‘Winner takes it all’ or General Purpose Technology?
In a week where more than one leading LLM seems to be creaking at the seams, suffering capacity issues or even going backwards in terms of output utility, it is worth re-stating why we think it is worth focusing on enterprise AI over consumer AI, and why we think it...
Codifying Rulesets in the Explainable Enterprise
The launch of Kimi’s K2 model was perhaps the most noteworthy AI-related news item of the past couple of weeks, and an indicator of the growing investment efficiency gap between China and the United States. Azeem Azhar’s coverage of the model and its implications,...
Is Enterprise AI Ultimately Less Risky than Consumer AI?
The debate about AI risks and potential harms is starting to bifurcate into the kind of toxic polarisation we are now used to seeing in politics, economics and other areas of life, amplified by online echo chambers. In addition to technical critics like Gary Marcus,...
Can Learning Help Overcome the AI Capability-Absorption Gap?
We are reaching a curious time for enterprise AI adoption. Organisational AI readiness is advancing far slower than the technology, and yet more and more large firms are warning employees that their jobs are likely to disappear or be transformed by automation and...
Agentic AI Needs Strong Foundations
The respected American venture capitalist Mary Meeker recently shared her first internet trends report since 2019, focused on AI and its future. It runs to 340 slides (with center-aligned text … grrr!), so it takes time to absorb. But in addition to its meta-level...
New Models and Old Challenges
It has been a busy couple of weeks for analysts covering new AI launches, with some impactful new models and agentic systems being announced that add up to a significant advance in capabilities. Hot on the heels of announcing Gemini 2.5 Pro, Google announced AI Mode...