<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Offbeat AI Watch]]></title><description><![CDATA[Offbeat AI Watch]]></description><link>https://offbeatwatchai.hashnode.dev</link><generator>RSS for Node</generator><lastBuildDate>Fri, 13 Nov 2026 18:32:01 GMT</lastBuildDate><atom:link href="https://offbeatwatchai.hashnode.dev/rss.xml" rel="self" type="application/rss+xml"/><language><![CDATA[en]]></language><ttl>60</ttl><item><title><![CDATA[Only 10% of large companies give AI one consistent view of the business]]></title><description><![CDATA[TCS surveyed 1,333 senior business and technology leaders in 25 countries for its Enterprise AI Study. Only 10% say their company has one context layer…]]></description><link>https://offbeatwatchai.hashnode.dev/only-10-of-large-companies-give-ai-one-consistent-view-of-the-business</link><guid isPermaLink="true">https://offbeatwatchai.hashnode.dev/only-10-of-large-companies-give-ai-one-consistent-view-of-the-business</guid><category><![CDATA[Artificial Intelligence]]></category><category><![CDATA[b2b]]></category><category><![CDATA[data]]></category><dc:creator><![CDATA[Shashwat Ghosh]]></dc:creator><pubDate>Thu, 12 Nov 2026 09:25:01 GMT</pubDate><content:encoded><![CDATA[<p>TCS surveyed 1,333 senior business and technology leaders in 25 countries for its Enterprise AI Study. Only 10% say their company has one context layer that gives AI a consistent view of the business. In 44%, that knowledge still sits with employees or in documents scattered across functions.</p>
<p>The same study names the top barrier to scaling AI: data that is not integrated, accessible or trusted.</p>
<p>For anyone building AI into sales or marketing work, the lesson is plain. Two teams can run the same model and get very different output. What changes the result is the business context the model can read: who buys, why they buy and what makes them say no.</p>
<p>Also in this issue: CrowdStrike adds an AI off switch, India's DEPA approach where the model travels to the data, Pliant raises $80M for agent payments, and UK regulators say a company owns what its agent does.</p>
<p>Originally published in Offbeat AI Watch, Season 2 Issue 1: <a href="https://gtmhelix.com/ai-trendwatch/issues/2026-11-11">https://gtmhelix.com/ai-trendwatch/issues/2026-11-11</a></p>
]]></content:encoded></item><item><title><![CDATA[Google Just Declared War on AI Slop]]></title><description><![CDATA[What Developers Need to Know]]></description><link>https://offbeatwatchai.hashnode.dev/google-just-declared-war-on-ai-slop</link><guid isPermaLink="true">https://offbeatwatchai.hashnode.dev/google-just-declared-war-on-ai-slop</guid><category><![CDATA[AI]]></category><category><![CDATA[SEO]]></category><category><![CDATA[Google]]></category><category><![CDATA[Web Development]]></category><dc:creator><![CDATA[Shashwat Ghosh]]></dc:creator><pubDate>Thu, 08 Jan 2026 02:55:57 GMT</pubDate><enclosure url="https://cdn.hashnode.com/res/hashnode/image/upload/v1767840647188/9b4665c5-f834-4a42-991a-4158bc414ee0.jpeg" length="0" type="image/jpeg"/><content:encoded><![CDATA[<hr />
<p>If you've been generating content with AI, Google's December 2025 Core Update just changed the rules.</p>
<h2 id="heading-the-numbers">The Numbers</h2>
<ul>
<li><p><strong>87% negative impact</strong> on mass-produced AI content</p>
</li>
<li><p>EEAT now mandatory for <strong>all</strong> competitive queries</p>
</li>
<li><p>Author credentials are "essentially mandatory"</p>
</li>
</ul>
<h2 id="heading-what-changed">What Changed</h2>
<p>Google isn't penalizing AI content. They're penalizing <strong>lazy</strong> AI content.</p>
<p>Content without verifiable author expertise, original insights, or human editorial oversight is getting crushed.</p>
<h2 id="heading-the-technical-playbook">The Technical Playbook</h2>
<p><strong>1. EEAT Signals</strong> Every piece needs a credible author with <a target="_blank" href="http://Schema.org">Schema.org</a> Person markup linking to LinkedIn and GitHub.</p>
<p><strong>2. LLM Accessibility</strong> Structure content for AI parsing: <a target="_blank" href="http://Schema.org">Schema.org</a> markup, clear heading hierarchy, answer-first formatting.</p>
<p><strong>3. Topical Authority</strong> Go deep, not wide. Google rewards expertise clusters over scattered keyword grabs.</p>
<h2 id="heading-the-mampa-signal">The M&amp;A Signal</h2>
<div class="hn-table">
<table>
<thead>
<tr>
<td>Deal</td><td>Value</td><td>Signal</td></tr>
</thead>
<tbody>
<tr>
<td>Meta → Manus</td><td>$2B</td><td>AI agents</td></tr>
<tr>
<td>Nvidia → Groq</td><td>$20B</td><td>Inference &gt; Training</td></tr>
<tr>
<td>ServiceNow → Armis</td><td>$7.75B</td><td>Security consolidation</td></tr>
</tbody>
</table>
</div><h2 id="heading-bottom-line">Bottom Line</h2>
<p>Human expert + AI still wins. Quality over quantity. The hype is over. The work begins.</p>
<hr />
<p><em>From Issue #6 of</em> <a target="_blank" href="https://shashwatgtm.github.io/ai-trendwatch/issues/2026-01-07.html"><em>Offbeat AI Watch</em></a><em>—fortnightly AI intelligence for B2B leaders.</em><br />slug: google-december-2025-update-ai-content<br />canonical: <a target="_blank" href="https://shashwatgtm.github.io/ai-trendwatch/issues/2026-01-07.html">https://shashwatgtm.github.io/ai-trendwatch/issues/2026-01-07.html</a><br />tags: ai, seo, google, webdev</p>
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