<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>adoption on YUNO AI Studio</title><link>https://yuno.to/tags/adoption/</link><description>Recent content in adoption on YUNO AI Studio</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 09 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://yuno.to/tags/adoption/index.xml" rel="self" type="application/rss+xml"/><item><title>Why AI Adoption Stalls Even When the Tools Work</title><link>https://yuno.to/blog/why-ai-adoption-stalls-even-when-the-tools-work/</link><pubDate>Sat, 09 May 2026 00:00:00 +0000</pubDate><guid>https://yuno.to/blog/why-ai-adoption-stalls-even-when-the-tools-work/</guid><description>&lt;p&gt;The CEO has signed the enterprise license. Training is rolling out. Dashboards say usage is climbing. And yet the productivity story the board was promised is not landing. New research &lt;a href="https://hbr.org/2026/05/the-psychological-costs-of-adopting-ai"&gt;published this month&lt;/a&gt; by Guy Champniss&lt;sup id="fnref:1"&gt;&lt;a href="#fn:1" class="footnote-ref" role="doc-noteref"&gt;1&lt;/a&gt;&lt;/sup&gt; suggests the issue may not be the tool, the rollout, or the training. It may be a category of cost most adoption strategies do not measure.&lt;/p&gt;
&lt;p&gt;Champniss surveyed more than 1,200 full-time employees across 10 sectors in the U.S. and UK. He measured how often people use AI, how complex the tasks are, and how often they avoid the tool on tasks where they know it would help. He then measured what he calls &lt;em&gt;psychological debt&lt;/em&gt;—the accumulated motivational cost of using AI inside a workflow that was not designed with the human side in mind. The results are uncomfortable for any leader treating AI rollout as a logistics problem.&lt;/p&gt;</description></item><item><title>Why the Best AI Companies Are Open</title><link>https://yuno.to/blog/why-the-best-ai-companies-are-open/</link><pubDate>Sun, 15 Mar 2026 00:00:00 +0000</pubDate><guid>https://yuno.to/blog/why-the-best-ai-companies-are-open/</guid><description>&lt;p&gt;In May 2022, a small company in Paris closed a Series C round valuing it at $2 billion. The product was free. Anyone could download it. Anyone could fork it. By August 2023, the same company raised another $235 million at a $4.5 billion valuation. By August 2024, it was profitable.&lt;/p&gt;
&lt;p&gt;The company is Hugging Face. The product is open-source AI infrastructure. And the strategic principle behind its rise is one that most executives still get wrong.&lt;/p&gt;</description></item></channel></rss>