The AI Triangle 2027

Does it pay, and who answers for it?

In 2026, AI agents broke out of their own exam, investors stopped rewarding spending without profits, and the public started asking for brakes. In 2027 the clocks run out: investors want returns, new laws start to bite, and national targets fall due.

The AI Triangle 2027 maps the year ahead from three corners, the United States, China and Korea, with Taiwan underneath all three. It is written from the operator’s chair, not a lab or a trading desk, by someone who has put AI to work in ports, offices and government.

What’s inside

• The 2026 scorecard: what actually happened in AI, graded A to F
• The full stack in plain words: agents, the model wars, chips and export controls, data centres, robots and physical AI
• Business and society: the enterprise reality check, jobs and the one-person company, the new rules, and Korea’s bid to become a third AI power
• Ten predictions for 2027, each with a confidence level and a date to check, graded in public in the 2028 edition
• Playbooks for executives, founders and professionals
• The Afterword: when AI might match us, and whether we can keep control

Who it’s for

• Executives, CTOs and CAIOs setting AI strategy
• Entrepreneurs and curious readers who want the whole AI ecosystem in one picture
• Investors reading the US, China, Korea and Taiwan

What you get

• A 380-page PDF and EPUB (English edition 1.0, 11 November 2026), with a source note for every number
• Two free updates: Edition 1.1 (end of February 2027) and Edition 1.2 (end of May 2027), emailed to you when ready
• Read the Introduction and Chapter 1 free before you buy (preview above)

Your copy is personalised: every page shows the email address you bought it with. Please don’t share it. Thank you for supporting independent writing.

About the author

Paul K.H. Kim has 28 years in IT, including 21 years at DP World and CSX World Terminals, where he became Global Vice President. In 2019 he set up a 42-person AI solutions team in Seoul, and in 2026 he led AI transformation for the Dubai government at Digital Zero Four (D04). He now runs Jalhaja Technology in Hong Kong.