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    <title>Observations · Dr. Gerald Cäsar</title>
    <link>https://sixtyfour.solutions/en/observations/</link>
    <description>Observations from ongoing conversations and projects on AI strategy and transformation.</description>
    <language>en</language>
    <lastBuildDate>Fri, 10 Apr 2026 18:52:50 +0200</lastBuildDate>
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      <title>LLM Homogenisation — Why Your LLM Makes You Average</title>
      <link>https://sixtyfour.solutions/en/observations/2026-03-25-llm-durchschnittlich/</link>
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      <pubDate>Wed, 25 Mar 2026 09:00:00 +0200</pubDate>
      <description>ChatGPT makes you average. Not because it&#x27;s bad — but because it does exactly what it was built to do.</description>
    </item>
    <item>
      <title>Should the CFO Lead AI — Not the CTO?</title>
      <link>https://sixtyfour.solutions/en/observations/2026-03-24-cfo-ki-fuehren/</link>
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      <pubDate>Tue, 24 Mar 2026 09:00:00 +0200</pubDate>
      <description>A recent HBR study compared over 1,000 companies. The result is remarkably clear: AI initiatives under finance leadership deliver measurable business value in 76% of cases. Under IT leadership, it&#x27;s 53%.</description>
    </item>
    <item>
      <title>AI Agents in Production — The First Documented Incidents Reveal a Systemic Pattern</title>
      <link>https://sixtyfour.solutions/en/observations/2026-03-20-agent-unfaelle/</link>
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      <pubDate>Fri, 20 Mar 2026 09:00:00 +0200</pubDate>
      <description>AI agents in the enterprise are no longer pilot projects. They make decisions, modify data, access systems — with the same permissions as the person who launched them. No confirmation. No limits.</description>
    </item>
    <item>
      <title>3 Warning Signs Your Company Isn&#x27;t AI-Ready</title>
      <link>https://sixtyfour.solutions/en/observations/2026-03-19-drei-warnsignale/</link>
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      <pubDate>Thu, 19 Mar 2026 09:00:00 +0200</pubDate>
      <description>&quot;We need to do something with AI.&quot;</description>
    </item>
    <item>
      <title>AI Agents: Brilliant at Clear Tasks, But Not for DIY Builders</title>
      <link>https://sixtyfour.solutions/en/observations/2026-03-17-agenten-repetitive-tasks/</link>
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      <pubDate>Tue, 17 Mar 2026 09:00:00 +0200</pubDate>
      <description>A new employee asks when something is unclear. An AI agent doesn&#x27;t. It works with what it gets — and when in doubt, delivers convincingly sounding wrong results.</description>
    </item>
    <item>
      <title>Your Data Isn&#x27;t AI-Ready — And That&#x27;s Your Biggest Lever</title>
      <link>https://sixtyfour.solutions/en/observations/2026-03-12-daten-ki-ready/</link>
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      <pubDate>Thu, 12 Mar 2026 09:00:00 +0200</pubDate>
      <description>McKinsey reports: 88% of companies use AI. At the same time, Gartner says: 57% of organisations have data that isn&#x27;t AI-ready. That&#x27;s not a contradiction — that&#x27;s the norm.</description>
    </item>
    <item>
      <title>The Self-Driving Question — When Do You Delegate to AI?</title>
      <link>https://sixtyfour.solutions/en/observations/2026-03-10-selbstfahrer-frage/</link>
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      <pubDate>Tue, 10 Mar 2026 09:00:00 +0200</pubDate>
      <description>Self-driving cars have fewer accidents than humans. Yet we still sit behind the wheel.</description>
    </item>
    <item>
      <title>Hallucinations: Measurably Improving, But You Need to Know</title>
      <link>https://sixtyfour.solutions/en/observations/2026-03-05-halluzinationen/</link>
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      <pubDate>Thu, 05 Mar 2026 09:00:00 +0200</pubDate>
      <description>Knowledge workers spend an average of 4.3 hours per week verifying AI answers for accuracy. Not because they&#x27;re paranoid — but because hallucinated answers sound just as convincing as correct ones. Often even more so: an MIT study shows that AI uses more confident language in wrong answers than in correct ones.</description>
    </item>
    <item>
      <title>Where AI Already Works Today — the Spec+DoD Formula</title>
      <link>https://sixtyfour.solutions/en/observations/2026-03-03-spec-dod-formel/</link>
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      <pubDate>Tue, 03 Mar 2026 09:00:00 +0200</pubDate>
      <description>If you want to understand where AI works and where it doesn&#x27;t, two questions are essential: Can you precisely describe what you want beforehand? And can you verify whether the result is correct afterwards?</description>
    </item>
    <item>
      <title>The Software Revolution Nobody Saw Coming</title>
      <link>https://sixtyfour.solutions/en/observations/2026-02-26-software-revolution/</link>
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      <pubDate>Thu, 26 Feb 2026 09:00:00 +0200</pubDate>
      <description>I come from software development and built a software company myself. What is happening in this industry right now, I have not seen in 30 years.</description>
    </item>
    <item>
      <title>AI in 2026: Why This Year Is Decisive</title>
      <link>https://sixtyfour.solutions/en/observations/2026-02-24-ki-2026-entscheidend/</link>
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      <pubDate>Tue, 24 Feb 2026 09:00:00 +0200</pubDate>
      <description>In conversations with executives, I&#x27;m seeing two reactions to AI right now: anxiety, because they don&#x27;t know where to start. Or complacency, because ChatGPT seemed so easy.</description>
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