『David's Saturday AI Thoughts』のカバーアート

David's Saturday AI Thoughts

David's Saturday AI Thoughts

著者: David Boyle
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Each Saturday, David Boyle reflects on what feels important in the world of AI. Not the breathless hype or the doom. The practical, analytical perspective: what happened this week, what it means for people who use language models in their work, and what to try next. David is Director of Audience Strategies and co-founder of Steadman. He advises organisations from L.E.K. Consulting to the BBC on AI adoption. This podcast is a spoken-word version of his Saturday AI Thoughts newsletter, with different voices for each section.© 2026 Steadman AI
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  • Futures and fears
    2026/07/18
    Fear of AI and excitement about it aren't competing conclusions; they're both smart readings of the same facts, and the same people often hold both at once. David gathered the fears readers sent in after last week's Sarah story and set them beside three futures: a chief executive who has given up reconciling the two sides, an investor enjoying a brief window of arbitrage, and an L.E.K. panel with Rob Wild and Scott Breitenother. His own answer is uncomfortable for an optimist: no shiny, democratised future is coming, because the gains keep compounding in the few firms willing and able to do the work of reorganising around the technology. The fears that wouldn't sort into a 'machine' pile or an 'us' pile were all about power: who owns what you depend on, and who's left outside when the window closes. Plus three things worth knowing, three things to try, and what readers said.
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    12 分
  • Sarah stays
    2026/07/11
    A story arrived nearly whole on a hot, sleepless London night, so David got up and wrote it: Sarah resigns on a Tuesday, and her firm keeps her anyway, rebuilt from three years of her emails, transcripts and Slack, because the archive holds what her handover never could. Every step is possible with tools firms already own. The reader comments chilled him more than the writing did, and they shifted something: after years spent on what AI makes possible, he wants to spend more time on its downsides, and asks what would keep you up at night. Alongside, Gartner's finding that cutting jobs for AI did not pay off, a Nobel economist's doubt that AI will repeat the PC-era boom, and the Brown class that scored perfect hundreds at home then collapsed in person. Plus three things worth knowing, three things to try, and what readers said.
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    13 分
  • Look at the grass
    2026/07/04
    Two photographs of the same Wimbledon court forty-two years apart tell the whole story: in 1982 the grass is worn where players served and rushed the net, and by 2024 the bare patch has moved to the baseline because the game became a rally. David uses that shift to argue knowledge work has made the same move, only in four years instead of forty-two. Producing got cheap, so the effort moved to framing the shot and reviewing what comes back, and yet most firms still run review cycles and approval chains built for the old game. He tests it against a Cannes leader drowning in good-enough drafts from a team of 250. Plus three things worth knowing, three things to try, and what one reader said about quality versus handwriting.
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    13 分
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