Power Metal: The Race for the Resources That Will Shape the Future

Vince Beiser

The powerful ways the metals we need to fuel technology and energy are spawning environmental havoc, political upheaval, and rising violence — and how we can do better. An Australian millionaire’s plan to mine the ocean floor. Nigerian garbage pickers risking their lives to salvage e-waste. A Bill Gates-backed entrepreneur harnessing AI to find metals in the Arctic. These people and millions more are part of the intensifying competition to find and extract the minerals essential for two crucial technologies: the internet and renewable energy. In Power Metal, Vince Beiser explores the Achilles’ heel of “green power” and digital technology – that manufacturing computers, cell phones, electric cars, and other technologies demand skyrocketing amounts of lithium, copper, cobalt, and other materials.

TechnologyTechnology · medium confidenceTechnology81 signalsLlm Classifier: Technology -> TechnologyAward Category: Helen Bernstein Book Award for Excellence in Journalism -> Journalism & ReportageKeyword Classifier: Journalism & Reportage -> Journalism & ReportageOceans, Rivers & WaterTechnology, Computing & AIBusiness, Capitalism & CorporationsCrime, Policing & Violence
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies

This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.

  1. 01 Central figures

    None extracted with sufficient confidence.

    These suggestions did not meet the normal display threshold and are more likely to be wrong.

    • Bill Gates36%
  2. 02 Central places

    None extracted with sufficient confidence.

    These suggestions did not meet the normal display threshold and are more likely to be wrong.

    • Arctic42%
  3. 03 Suggested argument

    No argument inferred with sufficient confidence.

  4. 04 Reading orientation

    34 / 100 academic

    Serious trade

    An estimate of intended readership and scholarly apparatus—not quality or importance.

Confidence percentages are the model's own estimates. Profile confidence: 50%.