<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Workforce-Planning on AI For Human Expertise</title><link>https://aiforhumanexpertise.com/tags/workforce-planning/</link><description>Recent content in Workforce-Planning on AI For Human Expertise</description><generator>Hugo</generator><language>en-gb</language><lastBuildDate>Mon, 11 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://aiforhumanexpertise.com/tags/workforce-planning/index.xml" rel="self" type="application/rss+xml"/><item><title>Deskilling Is Already Happening: Evidence Across Domains</title><link>https://aiforhumanexpertise.com/blog/deskilling-across-domains/</link><pubDate>Mon, 11 May 2026 00:00:00 +0000</pubDate><guid>https://aiforhumanexpertise.com/blog/deskilling-across-domains/</guid><description>&lt;h2 id="the-pattern-beneath-the-hype"&gt;The Pattern Beneath the Hype&lt;/h2&gt;
&lt;p&gt;It is tempting to treat the deskilling AI can cause as a future risk, something to worry about once the technology is more capable. The evidence says otherwise. Across very different fields, driven by the same human factors, the erosion is already measurable. The lesson from each domain is the same one, dressed in different clothes.&lt;/p&gt;
&lt;h2 id="what-deskilling-actually-looks-like"&gt;What Deskilling Actually Looks Like&lt;/h2&gt;
&lt;p&gt;Deskilling is rarely dramatic. It shows up in four recognisable ways:&lt;/p&gt;</description></item><item><title>AI for Knowledge Transfer: The Opportunity Most Organisations Miss</title><link>https://aiforhumanexpertise.com/blog/ai-for-knowledge-transfer/</link><pubDate>Sun, 08 Mar 2026 00:00:00 +0000</pubDate><guid>https://aiforhumanexpertise.com/blog/ai-for-knowledge-transfer/</guid><description>&lt;h2 id="ai-for-knowledge-transfer-the-opportunity-most-organisations-are-missing"&gt;AI for Knowledge Transfer: The Opportunity Most Organisations Are Missing&lt;/h2&gt;
&lt;p&gt;Across industries, the dominant conversation about AI is about augmentation: helping people work faster, automating repetitive tasks, and processing existing information more efficiently. That is valuable, and organisations are beginning to see the returns across areas like reporting, scheduling, and operational monitoring.&lt;/p&gt;
&lt;p&gt;But there is an equally important application that is largely overlooked, and in our experience building AI systems inside large organisations, one of the highest-value problems AI is actually well-suited to address.&lt;/p&gt;</description></item></channel></rss>