<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deskilling on AI For Human Expertise</title><link>https://aiforhumanexpertise.com/tags/deskilling/</link><description>Recent content in Deskilling 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/deskilling/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>The Cognitive Cost of Convenience</title><link>https://aiforhumanexpertise.com/blog/cognitive-cost-of-convenience/</link><pubDate>Thu, 23 Apr 2026 00:00:00 +0000</pubDate><guid>https://aiforhumanexpertise.com/blog/cognitive-cost-of-convenience/</guid><description>&lt;h2 id="the-ai-expertise-paradox"&gt;The AI Expertise Paradox&lt;/h2&gt;
&lt;p&gt;AI offers tremendous convenience and real productivity gains. The question that rarely gets asked is: at what cost to our skills?&lt;/p&gt;
&lt;p&gt;Here is a quick thought experiment. What happens tomorrow if your favourite AI system disappears? Who on your team still knows how to do the task without it? For a growing number of tasks, the honest answer is becoming uncomfortable.&lt;/p&gt;
&lt;p&gt;This is the paradox at the heart of how most organisations are adopting AI: &lt;strong&gt;the more we rely on it for convenience, the more our underlying skills may decline.&lt;/strong&gt; The gain is immediate and visible. The cost is gradual and easy to miss, right up until the moment you need the skill and find it has quietly gone.&lt;/p&gt;</description></item></channel></rss>