ChipsThe story, in brief

Will data centres avoid the curse of the mega-project?

Data-centre mega-projects face the curse of every infrastructure buildout: materials, power, labour. Here's what could derail the AI compute race.

Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
The infrastructure powering AI.AI illustration by KeyNews
The KeyNews take

Why it matters

The physical buildout underpinning AI — data centres, power, supply chains — is hitting real-world constraints. This story examines whether the AI infrastructure wave can overcome classic mega-project failure modes.

The key facts

10 to know
  1. Materials shortages identified as a risk factor

  2. Planning delays and permitting bottlenecks noted

  3. Labour scarcity in construction and operations sectors

  4. Power access and grid capacity constraints

  5. Systemic risks to AI compute buildout timelines

  6. Data-center construction facing materials shortages

  7. Planning delays cited as risk factor

  8. Labour scarcity impacting buildout velocity

  9. Power access emerging as critical constraint

  10. Mega-project delivery risk analysis (FT framing suggests historical parallels to infrastructure delays)

Go to the source

Financial Times Technologyft.com

Publisher excerpt: Many things can go awry, from materials shortages, planning delays, labour scarcity and access to power
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