Business Book of the Year 2024: Discover the Longlisted Titles
Business Book of the Year 2024 Longlist Highlights
The longlist for the prestigious Business Book of the Year 2024 has been announced, showcasing 16 compelling titles vying for the coveted award.
- Supremacy: AI, ChatGPT and the Race that will Change the World - Parmy Olson dives into the fierce competition between tech giants OpenAI and Google.
- The Algorithm: How AI Can Hijack Your Career and Steal Your Future - Hilke Schellmann examines the impact of AI on workplace dynamics.
- The Everything War: Amazon’s Ruthless Quest to Own the World - Dana Mattioli scrutinizes Amazon’s overwhelming influence.
- Higher Ground: How Business Can Do the Right Thing in a Turbulent World - Alison Taylor presents strategies for ethical business leadership.
- The Trading Game: A Confession - Gary Stevenson shares his personal narrative of trading and its consequences.
In-Depth Analysis and Insights
More than 600 entries were meticulously evaluated by Financial Times journalists, boiling down to a selection that both captivates and informs. Each title addresses critical topics such as technology's role in future economies, corporate responsibility, and biographical accounts of influential figures like Bill Gates and Donald Trump.
- The Longevity Imperative: Building a Better Society for Healthier, Longer Lives - Andrew Scott discusses leveraging improved life expectancy.
- Billionaire, Nerd, Saviour, King: The Hidden Truth About Bill Gates - Anupreeta Das analyses Gates' complex influence.
- Lucky Loser: How Donald Trump Squandered his Father’s Fortune - A critical review of Trump’s business narrative.
The winner of the £30,000 prize will be announced on December 9, 2024, rewarding the book that offers the “most compelling and enjoyable insight” into contemporary business issues.
This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.