We Are Eating the Earth: The Race to Fix Our Food System and Save Our Climate

Michael Grunwald

From the author of New York Times bestseller The New New Deal, a groundbreaking piece of reportage from the trenches of the next climate war: the fight to fix our food system. Humanity has cleared a land mass the size of Asia plus Europe to grow food, and our food system generates a third of our carbon emissions. By 2050, we’re going to need a lot more calories to fill nearly 10 billion bellies, but we can’t feed the world without frying it if we keep tearing down an acre of rainforest every six seconds. We are eating the earth, and the greatest challenge facing our species will be to slow our relentless expansion of farmland into nature. Even if we quit fossil fuels, we’ll keep hurtling towards climate chaos if we don’t solve our food and land problems.

Nature & EnvironmentNature & Environment · medium confidenceNature & Environment81 signalsLlm Classifier: Nature & Environment -> Nature & EnvironmentAward Category: Helen Bernstein Book Award for Excellence in Journalism -> Journalism & ReportageKeyword Classifier: Journalism & Reportage -> Journalism & ReportageClimate, Weather & DisasterNatural History & AnimalsEnvironment, Conservation & PollutionFood, Agriculture & Land
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.

  2. 02 Central places

    None extracted with sufficient confidence.

  3. 03 Suggested argument

    Even if fossil fuels are stopped, climate chaos will continue unless the food and land problems are solved by slowing farmland expansion into nature.

    Model confidence 86%

  4. 04 Reading orientation

    35 / 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: 62%.