<?xml version="1.0" encoding="utf-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
  <title>Salamon Capital — Insights</title>
  <subtitle>Research and analysis on AI productivity, measurement and automation.</subtitle>
  <link href="https://salamoncapital.com/feed.xml" rel="self"/>
  <link href="https://salamoncapital.com/insights"/>
  <id>https://salamoncapital.com/insights</id>
  <updated>2026-08-16T00:00:00.000Z</updated>
  <author><name>Salamon Capital</name><email>hq@salamoncapital.com</email></author>
  <entry>
    <title>What AI actually does to productivity</title>
    <link href="https://salamoncapital.com/insights/what-ai-does-to-productivity"/>
    <id>https://salamoncapital.com/insights/what-ai-does-to-productivity</id>
    <updated>2026-08-16T00:00:00.000Z</updated>
    <summary>Five studies, one uncomfortable pattern — and a measurement problem that is getting worse every month.</summary>
  </entry>
  <entry>
    <title>Which work to hand to an AI agent first</title>
    <link href="https://salamoncapital.com/insights/which-work-to-automate-first"/>
    <id>https://salamoncapital.com/insights/which-work-to-automate-first</id>
    <updated>2026-08-15T00:00:00.000Z</updated>
    <summary>The question that decides whether an AI project pays for itself is not which model to use. It is which piece of work goes first — and there is a defensible order.</summary>
  </entry>
</feed>
