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AI at Work

Tweets, posts, and field notes on how people and companies are actually adopting AI at work.

  1. Article

    Mar 18, 2026

    The AI Vampire reframes AI as a leverage engine

    Useful AI-at-work framing: the real disruption is not just faster output, but a step-change in individual leverage. As AI absorbs more of the surrounding knowledge and craft encoded in existing systems, organizations have to rethink how much one person can ship, what expertise still looks like, and where human judgment remains differentiating.

    Source
    Medium
    Author
    Steve Yegge
    Published
    Mar 18, 2026
    Tags
    ai-adoption leverage productivity software-development work

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  2. Tweet

    Mar 18, 2026

    AI will raise the premium on taste and judgment

    Strong AI-at-work takeaway: as production gets commoditized, discernment becomes the differentiator. Teams that can specify quality, make better tradeoffs, and recognize signal amid abundant machine-generated output will outperform teams that simply generate more.

    Author
    Alfred Lin
    Published
    Mar 18, 2026
    Tags
    ai-adoption judgment leverage taste work

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  3. Tweet

    Mar 17, 2026

    Agentic software work needs ruthless deletion, not just better tools

    Useful AI-at-work lesson: when software gets cheaper to generate, teams need stronger editing instincts, not weaker ones. The bottleneck shifts from producing code to curating, discarding, and reshaping it fast enough that low-quality output does not accumulate into system drag.

    Author
    Malte Ubl
    Published
    Mar 17, 2026
    Tags
    agents code-quality engineering software-development workflow

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