Weekly AI intelligence briefings for Preface executives: curated, concise, and actionable.
Organisations keep buying AI and seeing no lift. The reason is not the tools, it is the missing context. This briefing explains the AI Knowledge Base: your organisation's world written as linked pages an agent can build, query and keep current, and why it beats a database.
In one week, OpenAI, xAI and Meta each picked a different way to compete: finished work, cost per task, and distribution. This briefing explains why the operating strategy around a model now matters as much as the model, and what that changes for buyers.
Enterprise AI is moving from access to deployment. This briefing explains why the scarce capability is no longer buying a model, but installing intelligence into real workflows, data, approvals, and accountability.
AI power is spreading beyond the US-China binary. Brazil, Japan, Korea, and the UAE build advantage by owning one layer of the stack, not the whole thing. This briefing shows why the visible model leaderboard hides the strategic dependency map, and how leaders should design for optionality, governance, and chokepoint awareness.
Loop Engineering is the move from manually prompting AI to designing repeatable work systems around it. This briefing explains why the next advantage is not another prompt, but the loop that finds work, checks results, saves progress, and runs again.
The week the world's most capable AI was switched off overnight, and what it reveals for every leader putting advanced AI to work. Inside: how to govern access, understand reach, and turn experiments into trusted scale.
This briefing is about AI value capture: why token spend and usage are easy to measure, why completed work is harder to see, and why leaders should track outcomes rather than activity.
Huawei's Tau Scaling Law and China's two-front AI price war: why the contest is shifting from frontier performance to cost-efficiency, explained for executives.
A harness is not simply a better prompt. It is a designed system that splits AI work into roles, governs what memory can shape future behaviour, and organises agents into repeatable team workflows.
AI agents can now act. They browse, read data, call tools and update live systems. That power changes the risk profile entirely. This week: the six leadership questions that turn agentic AI into a governed enterprise capability.
While the world obsesses over GPUs, Memory (HBM, DRAM) and Storage (SSD/NAND) have emerged as the critical bottlenecks for AI Inference.
Xiaomi simultaneously reaches world-class status in open-source AI (MiMo-V2.5-Pro, #1 open-source on the Intelligence Index), performance EVs (YU7 GT, 990 hp), and a five-layer full-stack ecosystem Goldman Sachs calls a structural competitive barrier.
GPT-5.5 reclaims the intelligence crown with Workspace Agents while Chinese labs deliver hyper-efficient, agent-driven ecosystems like DeepSeek V4 and Kimi K2.6, reshaping enterprise AI economics.
44% of users now prefer AI-powered search. Generative Engine Optimization (GEO) is the new frontier for brand visibility - learn how query fan-out, entity anchors, and third-party mentions determine who AI cites.
Regulatory clarity meets real-world utility: Hong Kong's stablecoin regime goes live, the U.S. GENIUS Act advances, and Real World Asset tokenization moves into real-economy cashflows.
Has Chinese AI Caught Up? Export controls vs. architectural efficiency vs. talent reversal.