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        <title>How not to lose your job to AI</title>
        <link>https://elezea.com/2025/07/how-not-to-lose-your-job-to-ai/</link>
        <pubDate>Sun, 20 Jul 2025 15:25:54 +0000</pubDate>
        <dc:creator>Rian van der Merwe</dc:creator>
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          <![CDATA[There are a lot of these “how to beat the AI cookie monster” posts out there right now, but this one by Benjamin Todd is well-researched and articulated, with lots of practical examples on how to do the one thing that we all need to do anyway: keep learning. I break this down into four [&#8230;]]]>
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          <![CDATA[<p>There are a lot of these “how to beat the AI cookie monster” posts out there right now, but this one by Benjamin Todd is well-researched and articulated, with lots of practical examples on how to do the one thing that we all need to do anyway: <em>keep learning</em>.</p>
<blockquote>
<p>I break this down into four key categories of skills likely to increase in value:</p>
<ol>
<li><strong>Hard for AI</strong>: data poor, messy, long-horizon tasks where a person-in-the-loop is wanted</li>
<li><strong>Needed for deploying AI:</strong> the skills of organising and auditing AI systems, as well as those used in complementary industries such as data centre construction</li>
<li><strong>Used to make things the world could use far more of</strong>: skills that contribute to improved healthcare, housing, research, luxury goods, etc. – things which people want more of as they get better and cheaper</li>
<li><strong>Hard for others to learn</strong>: rare expertise that matches your unique strengths</li>
</ol>
</blockquote>
<p>Source: <a href="https://80000hours.org/agi/guide/skills-ai-makes-valuable/" target="_blank" rel="noopener">How not to lose your job to AI</a> →</p>
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