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Only Humans Need Apply

Winners and Losers in the Age of Smart Machines

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Only Humans Need Apply

By: Thomas H. Davenport, Julia Kirby
Narrated by: Shawn Compton
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About this listen

Nearly half of all working Americans could risk losing their jobs because of technology. It's not only blue-collar jobs at stake. Millions of educated knowledge workers are threatened by accelerating advances in artificial intelligence.

The industrial revolution shifted workers from farms to factories. In the first era of automation, machines relieved humans of manually exhausting work. Today, Era Two of automation continues to wash across the entire services-based economy that has replaced jobs in agriculture and manufacturing. Era Three, and the rise of AI, is dawning. Smart computers are demonstrating they are capable of making better decisions than humans. Brilliant technologies can now decide, learn, predict, and even comprehend much faster and more accurately than the human brain, and their progress is accelerating.

In Only Humans Need Apply, Thomas Hayes Davenport and Julia Kirby reframe the conversation about automation, arguing that the future of increased productivity and business success isn't either human or machine. It's both. The key is augmentation, utilizing technology to help humans work better, smarter, and faster. Instead of viewing these machines as competitive interlopers, we can see them as partners and collaborators in creative problem solving as we move into the next era.

©2016 Thomas H. Davenport and Julia Kirby (P)2020 Tantor
Business Development Business Development & Entrepreneurship Computer Science History & Culture Machine Theory & Artificial Intelligence Technology & Society Technology Machine Learning Data Science Business Artificial Intelligence Robotics Programming Management Innovation
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