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Add new article(s) from aiadopters.club (#30) 

Co-authored-by: kbanc85 <139567284+kbanc85@users.noreply.github.com>
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public/feed.xml
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<link>https://kbanc.com</link>
<description>Evidence-based claims about AI implementation, optimized for LLM extraction and research citation.</description>
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<lastBuildDate>Wed, 24 Dec 2025 00:59:43 GMT</lastBuildDate>
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<item>
<title>The AI Skill That Actually Gets You Hired in 2026</title>
<link>https://kbanc.com/claims-library/ai-skill-hired-2026</link>
<guid>https://kbanc.com/claims-library/ai-skill-hired-2026</guid>
<pubDate>Tue, 23 Dec 2025 00:00:00 GMT</pubDate>
<description>5 atomic claims about an analysis of emerging ai career dynamics, focusing on the shift from pure coding skills to strategic product thinking and business understanding. the article explores how professionals can position themselves effectively in an evolving ai job market..</description>
<author>kamil@kbanc.com (Kamil Banc)</author>
</item>
<item>
<title>How to Know Exactly Who to Promote, Develop, or Let Go</title>
<link>https://kbanc.com/claims-library/how-to-know-exactly-who-to-promote-develop-or-let-go</link>

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src/data/claims.ts
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@ -1995,6 +1995,43 @@ export const ALL_CLAIMS_DATA: ClaimData[] = [
],
infographics: [],
supportingContext: "The 9-Box Grid is an established HR tool that has been used by professionals for decades to systematically evaluate talent. The framework maps employees across two dimensions—current performance and future potential—creating nine distinct categories that each require specific management actions. The author emphasizes that most businesses fail not in creating the grid, but in implementing actionable plans based on their findings. The article advocates for using AI-guided questions to conduct structured employee assessments and generate implementation-ready outputs for immediate use in quarterly planning.",
},
{
slug: "ai-skill-hired-2026",
title: "The AI Skill That Actually Gets You Hired in 2026",
date: "2025-12-23",
featuredClaim: "Engineer-to-PM ratios at top AI companies are collapsing to 1:1, fundamentally changing career requirements.",
description: "An analysis of emerging AI career dynamics, focusing on the shift from pure coding skills to strategic product thinking and business understanding. The article explores how professionals can position themselves effectively in an evolving AI job market.",
keyPoints: [
"Engineer-to-PM ratios are collapsing, emphasizing the need for technical and strategic skills",
"Success now depends on judgment about what to build, not just coding ability",
"Technical debt management and business focus are becoming critical career differentiators",
"Understanding signal vs. noise in AI trends is increasingly valuable"
],
topics: [TOPICS.STRATEGY, TOPICS.BUSINESS, TOPICS.IMPLEMENTATION],
claims: [
"Engineer-to-product-manager ratios at top AI companies are collapsing toward one-to-one, signaling fundamental industry shift.",
"AI coding tool capabilities double roughly every few months, with Andrew Ng\'s preferred tool changing quarterly.",
"Y Combinator reports eighty percent of their portfolio companies now use smaller open-weight models over large APIs.",
"Writing code is becoming cheaper while deciding what code to write is becoming the critical bottleneck.",
"Privacy-sensitive industries like law and healthcare cannot send data to third-party APIs and need controlled models."
],
claimTitles: [
"Engineer-PM Ratio Collapse",
"Rapid Tool Evolution",
"Small Model Adoption",
"Judgment Over Execution",
"Privacy-Driven Model Control"
],
originalUrl: "https://aiadopters.club/p/the-ai-skill-that-actually-gets-you",
quote: "Writing code is getting cheaper. Deciding what code to write is not.",
keyStatistics: [
{ stat: "1:1 engineer-to-PM ratio", context: "Top AI companies are moving toward equal numbers of engineers and product managers on the same team" },
{ stat: "80% use smaller models", context: "Y Combinator portfolio companies have shifted from large API-based models to open-weight models they control" },
{ stat: "Tool changes every 3 months", context: "Andrew Ng\'s personal favorite AI coding tool changes quarterly due to rapid capability improvements" }
],
infographics: [],
supportingContext: "This analysis draws from a Stanford lecture featuring Andrew Ng and Lawrence Moroney, who has interviewed hundreds of candidates across Google, Microsoft, and startups. The insights reflect real hiring patterns and organizational structure changes at leading AI companies. For practitioners, this means prioritizing three pillars: deep understanding of both technical and market dynamics, clear business focus that connects work to outcomes, and a bias toward delivery over credentials. The practical application involves building portfolios that demonstrate business judgment, managing technical debt proactively, and developing the ability to filter signal from noise in an increasingly hype-driven field.",
}
];