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What’s a human’s place in the AI future of work?

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What’s a human’s place in the AI future of work?

Fast Company,

5 min read
3 take-aways
Audio & text

What's inside?

Is society heading for a dystopian future, or will new AI tools help people create a better world?

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Editorial Rating

8

Qualities

  • Controversial
  • Hot Topic
  • Engaging

Recommendation

A lot of fear and hype surrounds the topic of AI models like ChatGPT. How, and to what degree, should people embrace these tools? In this episode of the Fast Company Podcast, host Kathleen Davis chats with AI expert Tomas Chamorro-Premuzic about AI’s effects on the future of work, and society in general. He shares his experienced insights into what AI can do to streamline productivity and enhance creativity, while also warning of its pitfalls. In order to thrive with AI, Chamorro-Premuzic argues, people need to focus on upskilling the traits that make them uniquely human.

Summary

Tools like ChatGPT have made AI accessible to all.

Despite the headlines, tools like ChatGPT are just one small step in the larger, years-long arc of AI tech development. For example, AI-based applicant tracking systems that check potential hires’ résumés for desired keywords have been widespread for quite a while. What is notable is the swift, widespread way that people have embraced and put this advancement to work – thanks in no small part to the creation of user-friendly platforms for these large language models. That accessibility is indeed revelatory. It’s allowing even the least tech-savvy people to put AI to work data collecting, for example, or otherwise using the tools to streamline their work.

Technological developments do eliminate some jobs, but they tend to create many more new ones. 

Some people fear that AI will take over their job entirely. Experts on the issue, such as Harvard...

About the Podcast

Podcast host Kathleen Davis is a deputy editor at Fast Company. Dr. Tomas Chamorro-Premuzic is the chief innovation officer at Manpower Group, co-founder of Deeper Signals and Metaprofiling, and professor of business psychology at both University College London and Columbia University.

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