AI Hype Cycle Skepticism

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<!-- SC_OFF --><div class="md"><p>I give it a year or two.</p> <p>Building out data centres and locking in multi year energy contracts takes time, so committed capital will keep

<!-- SC_OFF --><div class="md"><p>The models keep getting better.</p> <p>But it feels like the harder question now is no longer<br /> “what can this model do?”<br /> it’s<br />

<!-- SC_OFF --><div class="md"><p>AI may not work as promised, but it will still cause large scale job loss. This phenomenon will emerge as the results of three mechanisms: 1)

<!-- SC_OFF --><div class="md"><p>Gemini 3.5 Flash launched Tuesday, and Google barely framed it as a conversational product. Instead, the company focused on coding pipelines,

<!-- SC_OFF --><div class="md"><p>Just read an interesting analysis about the real cost behind the AI boom, and honestly it changed how I think about “AI scaling forever.”</p>