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      <title>AI is creating organizational debt.</title>
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      <pubDate>Tue, 18 Aug 2026 13:22:59 GMT</pubDate>
      <description>The hidden cost of AI is not the model bill. It is what happens when powerful systems land inside fuzzy work.</description>
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      <title>Our view on AI adoption in organizations is simple: put people at the center</title>
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      <pubDate>Wed, 05 Aug 2026 14:41:14 GMT</pubDate>
      <description>AI succeeds when companies understand the real operating logic of work, not just the promise of automation.</description>
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      <title>No company can out-adapt its own blind spots</title>
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      <pubDate>Tue, 30 Jun 2026 13:59:42 GMT</pubDate>
      <description>Agility is not a speed problem first. It is a self-awareness problem.</description>
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      <title>AI transformation starts with work, not layoffs</title>
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      <pubDate>Tue, 02 Jun 2026 17:43:54 GMT</pubDate>
      <description>If the first move in an AI program is cutting heads, the company has already misunderstood the technology.</description>
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      <title>AI readiness is an organizational design problem.</title>
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      <pubDate>Tue, 12 May 2026 13:57:21 GMT</pubDate>
      <description>The companies that win with AI will not have better models than everyone else. They will have organizations built to absorb them.</description>
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      <title>Workforce architecture wins.</title>
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      <pubDate>Sun, 19 Apr 2026 18:53:47 GMT</pubDate>
      <description>The companies that outperform in the AI era will not be the ones with the best org chart. They will be the ones that can redesign work faster than everyone else.</description>
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      <title>The workforce needs a digital twin.</title>
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      <pubDate>Sat, 28 Mar 2026 00:21:53 GMT</pubDate>
      <description>Companies still managing workforce change with static records and lagging dashboards are trying to steer a moving system with a snapshot.</description>
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