<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI on Trayix</title><link>https://trayix.com/tag/ai/</link><description>Recent content in AI on Trayix</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Wed, 10 Jun 2026 09:00:00 +0000</lastBuildDate><atom:link href="https://trayix.com/tag/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Complexity is the new normal</title><link>https://trayix.com/2026/06/complexity-new-normal/</link><pubDate>Wed, 10 Jun 2026 09:00:00 +0000</pubDate><guid>https://trayix.com/2026/06/complexity-new-normal/</guid><description>&lt;p&gt;Ask a project professional whether projects feel harder than they used to, and you&amp;rsquo;ll get a knowing look. PMI&amp;rsquo;s 2026 Pulse of the Profession report puts a number on it: 81% of project professionals say projects have become more complex in recent years. We doubt many readers are surprised. The more useful question is what to do about it.&lt;/p&gt;&#10;&lt;h2 id="complexity-isnt-just-more-work"&gt;Complexity isn&amp;rsquo;t just more work&lt;/h2&gt;&#10;&lt;p&gt;More tasks is a scheduling problem. Complexity is different: many parts that affect each other in ways nobody planned. A change to one system alters a process in another department, which changes how customers behave, which changes demand on the first system. Plans built as lists of tasks handle this badly, because the trouble sits between the tasks.&lt;/p&gt;</description></item><item><title>What AI can and can't do for project coordination</title><link>https://trayix.com/2023/10/ai-project-coordination/</link><pubDate>Wed, 11 Oct 2023 09:00:00 +0000</pubDate><guid>https://trayix.com/2023/10/ai-project-coordination/</guid><description>&lt;p&gt;Ask a senior project leader where the week goes, and the answer is rarely &amp;ldquo;solving hard problems.&amp;rdquo; It goes to chasing updates, assembling status reports, rewriting the same message for three audiences, and keeping the schedule honest. This coordination work has traditionally eaten a significant share of senior time in consulting. Now that AI assistants are in daily use, it&amp;rsquo;s fair to ask how much of it they can take on.&lt;/p&gt;</description></item><item><title>Generative AI and the project manager's week</title><link>https://trayix.com/2023/05/generative-ai-project-managers/</link><pubDate>Wed, 10 May 2023 09:00:00 +0000</pubDate><guid>https://trayix.com/2023/05/generative-ai-project-managers/</guid><description>&lt;p&gt;Six months after ChatGPT arrived, nearly every project manager we know has tried it, and most have an opinion. Some call it a revolution. Others call it a toy that makes things up. After a few months of careful experiments, we think both camps are partly right, so here is an early, honest look at what generative artificial intelligence (AI) does for a project manager&amp;rsquo;s week.&lt;/p&gt;&#10;&lt;h2 id="where-it-helps"&gt;Where it helps&lt;/h2&gt;&#10;&lt;p&gt;Think about a typical Monday. You have a long email thread to digest, a status update to write, and meeting notes from Friday that nobody has cleaned up. Generative AI is good at exactly this kind of work. Paste in a messy set of notes (after removing anything sensitive), and you get a clean first draft in seconds. Ask it to summarize a 40-message thread, and you get a reasonable starting point for what was decided and what&amp;rsquo;s still open.&lt;/p&gt;</description></item></channel></rss>