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Ep 430: Is AI Coming For Your Job?

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Content provided by Jean Chatzky Her Money. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jean Chatzky Her Money or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

The promise and the peril of AI in the workplace seem to be all anyone can talk about these days and the biggest question on all of our minds is — will AI take my job?

According to Fortune 500 Human Resource Officers, the answer is yes, AI could be coming for your job. Gallup found that seventy-two percent of Fortune 500 leaders foresee AI replacing jobs in their organization in the next three years. So how do we get ahead of this?

Our guest today, Hilke Schellman, author of The Algorithm: How AI Decides Who Gets Hired, Monitored, Promoted, and Fired, and Why We Need to Fight Back Now shares her ideas.

In Mailbag, we read a listener response to a previous mailbag on the pros and cons of pensions in Europe. We also hear from someone who’s wondering if it would be better to take money out of a long-term care insurance policy and invest it in the stock market.

Chapters:

00:00: Introduction

05:30: Understanding AI

09:22: Challenges for New Graduates

15:06: Making Your Resume Machine Readable

24:54: Preparing for AI-Based Interviews

28:48: Using AI Tools to Your Advantage

29:21: Transition to Mailbag Segment

33:46: Listener Advice on European Pensions

38:20: Long-Term Care Insurance

Takeaways:

  • AI is predicted to replace jobs, with women's jobs being more affected.
  • AI tools are used in job interviews and can analyze facial expressions, speech patterns, and keywords to assess candidates.
  • Job seekers can improve their chances by making their resumes machine-readable, using tools like JobScan, and reaching out to recruiters directly.
  • Employees should be aware that their online activities and communications at work can be monitored by AI tools.
  • Dabbling with AI tools and staying up to date with AI technology can make individuals more employable.

Have a question for us? We'd love to hear from you! Write in or send us a voicenote at mailbag@hermoney.com.

Join the HerMoney community! For the latest episode drops and financial news-you-can-use, subscribe to our newsletter at Hermoney.com/subscribe!

The HerMoney with Jean Chatzky podcast is sponsored by Edelman Financial Engines. The podcast team and its host are neither employees nor clients of EFE, however, the show does receive fixed compensation and is a paid endorser and therefore has an incentive to endorse EFE and its planners. To learn more about the sponsorship, please visit PlanEFE.com/HerMoney.

Please contact advertising@airwavemedia.com if you would like to advertise on our podcast, and to learn more about Airwave, head to www.airwavemedia.com.

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

508 episodes

Artwork
iconShare
 
Manage episode 426898230 series 2801390
Content provided by Jean Chatzky Her Money. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jean Chatzky Her Money or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

The promise and the peril of AI in the workplace seem to be all anyone can talk about these days and the biggest question on all of our minds is — will AI take my job?

According to Fortune 500 Human Resource Officers, the answer is yes, AI could be coming for your job. Gallup found that seventy-two percent of Fortune 500 leaders foresee AI replacing jobs in their organization in the next three years. So how do we get ahead of this?

Our guest today, Hilke Schellman, author of The Algorithm: How AI Decides Who Gets Hired, Monitored, Promoted, and Fired, and Why We Need to Fight Back Now shares her ideas.

In Mailbag, we read a listener response to a previous mailbag on the pros and cons of pensions in Europe. We also hear from someone who’s wondering if it would be better to take money out of a long-term care insurance policy and invest it in the stock market.

Chapters:

00:00: Introduction

05:30: Understanding AI

09:22: Challenges for New Graduates

15:06: Making Your Resume Machine Readable

24:54: Preparing for AI-Based Interviews

28:48: Using AI Tools to Your Advantage

29:21: Transition to Mailbag Segment

33:46: Listener Advice on European Pensions

38:20: Long-Term Care Insurance

Takeaways:

  • AI is predicted to replace jobs, with women's jobs being more affected.
  • AI tools are used in job interviews and can analyze facial expressions, speech patterns, and keywords to assess candidates.
  • Job seekers can improve their chances by making their resumes machine-readable, using tools like JobScan, and reaching out to recruiters directly.
  • Employees should be aware that their online activities and communications at work can be monitored by AI tools.
  • Dabbling with AI tools and staying up to date with AI technology can make individuals more employable.

Have a question for us? We'd love to hear from you! Write in or send us a voicenote at mailbag@hermoney.com.

Join the HerMoney community! For the latest episode drops and financial news-you-can-use, subscribe to our newsletter at Hermoney.com/subscribe!

The HerMoney with Jean Chatzky podcast is sponsored by Edelman Financial Engines. The podcast team and its host are neither employees nor clients of EFE, however, the show does receive fixed compensation and is a paid endorser and therefore has an incentive to endorse EFE and its planners. To learn more about the sponsorship, please visit PlanEFE.com/HerMoney.

Please contact advertising@airwavemedia.com if you would like to advertise on our podcast, and to learn more about Airwave, head to www.airwavemedia.com.

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

508 episodes

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