CXO Intelligence Series · Sub-series

Enterprise AI Series

The thesis track: what decides winners, how the organisation is redesigned, and what the economics do to valuation.

This track carries the numbered editions and the standing explainers: enterprise intelligence as the durable moat, the AI-native operating model, the repricing of intelligence, the org chart when agents report for work, and the primers that make the mechanism legible to a non-technical board.

13 published · ISSN: applied for · Bengaluru, India

Enterprise AI Series Governance Series Life Sciences Series

The track

Every piece, in order of publication

  • The Off Switch: What the New Rules of Frontier AI Access Mean for Every Nation Sovereign AI 28 June 2026 HTML
  • The Last Moat: Enterprise Intelligence and the AI Era Edition 02 28 June 2026 HTML
  • After the Off Switch: What Fable 5 Actually Powers AI Strategy 2 July 2026 HTML
  • The Fragile Moat: Why Securing Intelligence Is Now a Board-Level Decision Edition 04 5 July 2026 HTML
  • The Redesign: Building the AI-Native Enterprise Edition 03 5 July 2026 HTML
  • Inside the Transformer: A Technical Deep Dive for Engineers and CTOs The Deep Dive 8 July 2026 HTML
  • The Prediction Engine: A CXO's Field Guide to How AI Actually Works The Primer 8 July 2026 HTML
  • The Last Moat Isn't Data. It's Your Learning Loop. Economics 14 July 2026 HTML
  • Prediction Without Training: Google TabFM and the Rise of Tabular Foundation Models Technology 14 July 2026 HTML PDF
  • The Great Repricing: Where AI Value Goes When Intelligence Gets Cheap Edition 05 20 July 2026 HTML
  • The Second Workforce: A Blueprint for the Org Chart When Agents Report for Work Edition 06 27 July 2026 HTML PDF
  • Seven Years of Software. One Year of Warranty. Investigation 31 July 2026 HTML
  • The Judgment Premium: Roles, Skills and Careers When Agents Do the Work Edition 07 6 August 2026 HTML

This is a sub-series, not a separate publication. The Enterprise AI Series is one named track inside the CXO Intelligence Series, an independent, weekly AI thought leadership journal for the C-suite on building the AI-native enterprise. It is vendor-neutral and published from Bengaluru. Journal particulars, the full archive and the road ahead are on the series page.

Journal particulars and full archive See these in the article index