A personal site · Sydney · Written by Dr Zhitao Xiong
Building useful AI and data products. Helping teams deliver them responsibly.
My work is about turning AI and data into useful products, and helping teams deliver them responsibly. Drawing on experience in financial services and the Consumer Data Right, I write about the decisions that shape this work: what to build, how to know it works, and what needs to change in the organisation around it. This site brings together my notes, research and practical experiments.
Notes · Products, data and decisions
Ideas and practical problems, worked through in writing.
Notes on building products, working with data and helping teams make sound decisions about AI. Some explore an idea; others work through a practical problem.
Recently published
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2026-09-20 · AI and work
When producing more becomes the problem
Note →
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2026-06-14 · AI third-party risk
Three habits for the weekend when Fable 5 stopped working
Note →
Latest report · A single topic, in depth
The AI-reshaped organisation
A field reading of how AI is rewriting the technology function. Maps the four compounding forces behind the change, sets out three forward scenarios for 2026 to 2029, and projects the move from the org chart to the work chart.
How I read the shift
- 01Evidence first. Every load-bearing claim is anchored to a survey, a financial filing or a piece of academic work, and cited. Where the evidence is thin, I say so rather than round up.
- 02Three scenarios, not one forecast. I pair an evidence-first base case with a conservative and a radical scenario, and deliberately assign no probabilities. The point is to make decisions robust across all three.
- 03From org chart to work chart. The through-line is structural: humans set intent, set guardrails, review work and own decisions, while agent fleets do the coordination and execution that managers used to do.
- 04Personal capacity. Written under named authorship in a personal capacity, as the first in a series of field notes on governing, auditing and building AI.
Reports · Research and analysis
Practical questions that deserve a closer look.
Research and analysis that give a practical question more room: the evidence, the implications and the decisions that follow.
See the reports →New writing, by email.
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