95% of AI Projects Fail. The Data Centre Boom Is Stalling. One Problem Is Behind Both.

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This week’s briefing covers three things every construction leader should understand before they sign off on anything this year.

David Gal from Samsara makes the argument that three quarters of construction hasn’t even started the thing that comes before AI. Not behind on AI. Behind on the step underneath it. He lays out a four stage journey, and most firms are at stage zero, still on the clipboard, still ringing round to find out where the excavator is. One firm he works with lost twenty million dollars of equipment in a single year without knowing it. The cost of not digitising is not zero. You just cannot see the bill yet.

Then KPMG surveyed over two thousand senior executives across twenty countries. Nearly a third said they had no idea where their growing AI costs were coming from. MIT looked at corporate AI projects and found ninety five percent of them fail, not on the technology, but on the groundwork nobody did. The AI worked. The organisation around it did not.

And the data centre boom, the thing keeping order books healthy while housing sits flat, is starting to slip. Not because the money has dried up. The four biggest tech companies are spending north of six hundred and fifty billion dollars this year alone. It is slipping because the wait for transformers and switchgear has stretched from two years to five. You can have the land, the funding and the chips and still not be able to build.

The same problem is underneath all three. And construction, the industry everyone calls backward, already knows what it is.

Drop your answer in the comments of this week’s LinkedIn post.

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