Does enterprise AI actually pay off?
The J-curve against the 95%, and the number that would settle it.
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One view does not help anyone. Each set-piece here takes one open question about AI value and argues it from both sides, with no straw men, and a synthesis that does not always land in the house's favour. If you disagree with our thesis, this is your part of the site, and you are welcome in it.
The question, the optimist's strongest case, the sceptic's strongest case, what would settle it, the stakes either way, and an honest position with the uncertainty left in. Below the debates, four essays look at where the field may go next.
The J-curve against the 95%, and the number that would settle it.
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Cheap generation, finite judgement. Or is the bottleneck somewhere else?
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Machine-speed self-optimisation versus the fox guarding the henhouse.
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Liberation from the chokepoint, or the end of governance?
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The instalment that argues with this site most directly.
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The closing question: whether the premise of this hub is the right one.
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What optimists, sceptics and practitioners are actually saying, sourced from published research and public commentary.
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Emerging practice and what may come next. More speculative than the rest of the site, and labelled that way. All frontier essays
The six-level form-factor spectrum, and why attribution breaks as the human leaves the loop.
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As AI builds AI, the objective we embed becomes the objective that scales. Read with the debate on whether AI should govern itself.
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The decentralisation arc and the disappearing meter. Read with the debate on whether decentralisation is good.
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An essay on what individuals give up when AI does the reasoning, and what personal accountability for AI use could look like.
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