Mother of Invention: How Good Ideas Get Ignored in an Economy Built for Men

Katrine Marçal

An illuminating and maddening examination of how gender bias has skewed innovation, technology, and history—now in paperback It all starts with a rolling suitcase. Though the wheel was invented some 5,000 years ago, and the suitcase in the 19th century, it wasn’t until the 1970s that someone successfully married the two. What was the holdup? For writer and journalist Katrine Marçal, the answer is both shocking and simple: because “real men” carried their bags, no matter how heavy. Mother of Invention is a fascinating and eye-opening examination of business, technology, and innovation through a feminist lens. Because it wasn’t just the suitcase. Drawing on examples from electric cars to tech billionaires, Marçal shows how gender bias stifles the economy and holds us back, delaying innovations, sometimes by hundreds of years, and distorting our understanding of our history.

Gender & SexualityGender & Sexuality · medium confidenceGender & Sexuality81 signalsLlm Classifier: Gender & Sexuality -> Gender & SexualityKeyword Classifier: Business & Economics -> Business & EconomicsKeyword Classifier: Gender & Sexuality -> Gender & SexualityTechnology, Computing & AIBusiness, Capitalism & CorporationsGender & FeminismInfrastructure, Engineering & Built Environment
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

    Gender bias stifles innovation and skews economic and technological history, delaying or distorting developments that would otherwise progress more effectively.

    Model confidence 68%

  4. 04 Reading orientation

    42 / 100 academic

    Trade / academic crossover

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

Confidence percentages are the model's own estimates. Profile confidence: 74%.