<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Aqera Resources</title><link>https://aqera.com.au/resources</link><description>Research and insight on AI transformation</description><item><title>What AI transformation is, and what it is not</title><link>https://aqera.com.au/resources/what-ai-transformation-is</link><guid>https://aqera.com.au/resources/what-ai-transformation-is</guid><pubDate>Tue, 20 Oct 2026 00:00:00 +1100</pubDate><description>Adoption is near-universal; value is not. AI transformation is the redesign of work, decision rights and the operating model so that AI produces measured value at scale.</description></item><item><title>Seventy years in five waves: the evolution to AI transformation</title><link>https://aqera.com.au/resources/the-evolution-to-ai-transformation</link><guid>https://aqera.com.au/resources/the-evolution-to-ai-transformation</guid><pubDate>Tue, 20 Oct 2026 00:00:00 +1100</pubDate><description>Each wave of AI moved the unit of change further from a single task towards the whole operating model. Each was adopted fast and paid off slowly.</description></item><item><title>The state of play: large gains in tasks, small gains in the economy</title><link>https://aqera.com.au/resources/ai-transformation-state-of-play</link><guid>https://aqera.com.au/resources/ai-transformation-state-of-play</guid><pubDate>Tue, 20 Oct 2026 00:00:00 +1100</pubDate><description>Adoption is near-universal and value is concentrated in a small minority. The best evidence says the constraint is organisational, not technical.</description></item><item><title>Different routes, the same controls: AI transformation in a global context</title><link>https://aqera.com.au/resources/ai-transformation-global-context</link><guid>https://aqera.com.au/resources/ai-transformation-global-context</guid><pubDate>Tue, 20 Oct 2026 00:00:00 +1100</pubDate><description>The EU legislates, the US preempts, China sets adoption targets and Singapore writes guidance for agents. Underneath, the controls organisations must run are converging.</description></item><item><title>AI transformation in Australia: the problem is the funding model</title><link>https://aqera.com.au/resources/ai-transformation-australian-context</link><guid>https://aqera.com.au/resources/ai-transformation-australian-context</guid><pubDate>Tue, 20 Oct 2026 00:00:00 +1100</pubDate><description>Australia regulates AI through policy and existing law, has dated public-sector obligations, and funds technology as projects. The last of these matters most.</description></item><item><title>What it means: four implications and five open questions</title><link>https://aqera.com.au/resources/ai-transformation-implications</link><guid>https://aqera.com.au/resources/ai-transformation-implications</guid><pubDate>Tue, 20 Oct 2026 00:00:00 +1100</pubDate><description>AI transformation succeeds or fails on organisational design. Manage it as an operating-model change with continuous governance, not as a technology project.</description></item></channel></rss>
