A point of view.
A way to check it.

Research and practical perspectives on making AI useful inside a company.

7 insights

Research noteEnterprise adoption

Same models. Different depth of adoption.

An operator’s reading of OpenAI’s Enterprise Signals: the usage gap, the skills gap, and the work behind both.

The usage gap widened

Frontier / typical output tokens per active user · multiple

Jan 20262.6×
Jun 20268.3×
Frontier: top 10% of enterprise usage each month. Typical: 45th–55th percentile. This is a usage ratio, not a productivity multiplier. Source: OpenAI.
2 min read
Research noteDelegation & upskilling

The environment changes what people delegate.

What Anthropic’s Cadences report suggests about tools, delegation and learning—and what it cannot prove.

The delegation gap survives a same-model comparison

Claude Code minus chat / Cowork · points on a 1–5 autonomy scale

Overall0.37 pts
Sonnet only0.26 pts
Differences in mean autonomy, not percentage improvements. Same-model comparison does not control for all differences in users and tasks. Source: Anthropic.
3 min read

Research notes distinguish the source’s findings from our interpretation.