ALTITUDE • SERIES
AI Signal
What moved, what it means, and what to do about it.
AI moves fast. Most of us don't have time to track every release, every benchmark, every opinion. Each month, this field guide cuts through the noise — the key signals first, then a structured deep dive for those who want it.

Latest edition • March 2026
AI Signal — March 2026
Every major AI lab converged on the same priority: knowledge work automation. OpenAI discontinued Sora, Anthropic went to court, and the adoption gap widened. Work is the game now.
Deep dive: AI fluency — why adoption and upskilling matter now, and what the data says about who actually benefits.
Four tiers, one framework
The Framework
Each edition maps the month's key signals to four tiers that cover everything from the tools themselves to how you actually use them.
- 1The Landscape
- What's available now?
New models, price shifts, capability changes — a quick orientation on what moved. - 2The Foundation
- What does my organisation need in place?
Governance, readiness, data foundations — the groundwork that makes AI actually useful. - 3The Practice
- How should my team actually work with AI?
Interaction patterns, skills, team fluency — the monthly deep dive lives here. - 4The Application
- Where is this being applied?
Industry-specific use cases, emerging patterns, and what's working in practice.
Plus a Framework Check each month: did anything change how we think about AI capability? The framework is a living tool — when signals don't fit, we change the framework, not the signals.
All Editions

February 2026
AI Signal — February 2026
The deployment overhang: AI agents can handle five-hour tasks but the median use is forty-five seconds. Trust calibration, cost collapse, and why the gap between capability and usage is the defining challenge.

January 2026
AI Signal — January 2026
AI costs drop 100x, the delegation vs inquiry finding, half of all jobs now AI-touched, and why industry-specific AI is the dominant direction.
Written for you
Who this is for
Founders, solo operators, and the AI-curious in small teams. You might run your own business, or you might be the person in a 10–50 person organisation that everyone asks “what should we be doing about AI?” Either way, you're hands-on, time-poor, and want signal without noise.
If that sounds like you, this is written for you.