50 episodes

What will the future look like? The Future of Everything offers a kaleidoscope view of the nascent trends that will shape our world. In every episode, join our award-winning team on a new journey of discovery. We’ll take you beyond what’s already out there, and make you smarter about the scientific and technological breakthroughs on the horizon that could transform our lives for the better.

WSJ’s The Future of Everything The Wall Street Journal

    • Technology
    • 4.3 • 1.4K Ratings

What will the future look like? The Future of Everything offers a kaleidoscope view of the nascent trends that will shape our world. In every episode, join our award-winning team on a new journey of discovery. We’ll take you beyond what’s already out there, and make you smarter about the scientific and technological breakthroughs on the horizon that could transform our lives for the better.

    Could AI Prevent the Next Global Supply Chain Crisis?

    Could AI Prevent the Next Global Supply Chain Crisis?

    AI has brought new challenges for corporate executives in managing their workforces and supply chains. Flex CEO Revathi Advaithi tells WSJ reporter Emily Glazer how she is adjusting to uncertainty and gives her outlook on the future of the workplace and manufacturing. This conversation was recorded at WSJ’s CEO Council Summit on December 12, 2023. 



    What do you think about the show? Let us know on Apple Podcasts or Spotify, or email us: FOEPodcast@wsj.com



    Further reading:

    Leading in Uncertain Times 

    Sam Altman Seeks Trillions of Dollars to Reshape Business of Chips and AI 

    Logistics-Tech Startups Face Uncertain Future as Freight Slump Continues 

    The Do’s and Don’ts of Using Generative AI in the Workplace 



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    • 14 min
    How Face Scans and Fingerprints Could Become Your Work Badge

    How Face Scans and Fingerprints Could Become Your Work Badge

    Badge swipes and passwords are cornerstones of security in the modern workplace. But in a world where security is increasingly tied to biometrics and personal devices, your face or fingerprint may soon become the key to workplace security. While biometrics could provide better protection for sensitive information than an easily forgettable password, what are the privacy risks of biometric tech going mainstream? WSJ’s Danny Lewis explores the future of biometric security at work, and whether it could even go beyond face scans and fingerprints.



    What do you think about the show? Let us know on Apple Podcasts or Spotify, or email us: FOEPodcast@wsj.com 



    Further reading:

    Your Face Is Your Ticket: A Creepy Convenience 

    Apple Makes Security Changes to Protect Users From iPhone Thefts 

    Rite Aid Banned From Using AI Facial Recognition in FTC Settlement 

    What Is the Future of Identity Verification? 



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    • 20 min
    Is AI Taking the Human Out of the HR Department?

    Is AI Taking the Human Out of the HR Department?

    Will the human resources department be replaced by robots? Not quite, but the use of generative artificial intelligence in HR is on the rise. WSJ reporter Chip Cutter tells us how companies are incorporating AI tools internally and what might change in the future. Plus, we hear from Reshma Saujani, the founder of Girls Who Code and Moms First, who recently introduced paidleave.ai, a free AI-powered chatbot designed to help workers navigate paid family leave benefits. Saujani tells WSJ’s Charlotte Gartenberg about what she sees as the potential risks and benefits of AI in the workplace.



    What do you think about the show? Let us know on Apple Podcasts or Spotify, or email us: FOEPodcast@wsj.com 



    Further reading: 

    New York City Passed an AI Hiring Law. So Far, Few Companies Are Following It. 

    How AI Will Change the Workplace 

    HR Departments Turn to AI-Enabled Recruiting in Race for Talent 

    The Do's and Don'ts of Using Generative AI in the Workplace

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    • 20 min
    Science of Success: The Nvidia CEO’s Lessons in Building a $1T Company

    Science of Success: The Nvidia CEO’s Lessons in Building a $1T Company

    Nvidia's Jensen Huang is Silicon Valley's longest tenured CEO, and his company recently joined the trillion dollar club. But if he knew at the start what he knows now, would he do it all again? WSJ Science of Success columnist Ben Cohen explains Huang’s approach to success and what that might mean for tomorrow's entrepreneurs.



    What do you think about the show? Let us know on Apple Podcasts or Spotify, or e mail us: FOEPodcast@wsj.com 



    Further reading: 

    He Built a Trillion-Dollar Company. He Wouldn’t Do It Again. 

    Tech’s ‘Magnificent Seven’ Stocks Are Back on Top 

    Markets Analysis: Nvidia Stock Jumps to Record High 

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    • 10 min
    Why AI Keeps Getting Better at Making Fake Images

    Why AI Keeps Getting Better at Making Fake Images

    Fake images are already turning heads online, and Hany Farid, a professor of computer science at the University of California, Berkeley, says we’re only going to see more of it. Farid specializes in image analysis and digital forensics. He tells WSJ’s Alex Ossola why it’s so easy to use generative AI to create convincing fake images, and why it could cause problems in the future. Plus, he discusses the potential tech solutions that will help us decipher whether an image or video we’re seeing online is too good to be true. 



    What do you think about the show? Let us know on Apple Podcasts or Spotify, or email us: FOEPodcast@wsj.com 



    Further reading: 

    Real or AI? The Tech Giants Racing to Stop the Spread of Fake Images 

    Reality Is Broken. We Have AI Photos to Blame. 

    A New Way to​ Tell Deepfakes From Real Photos: Can It Work? 

    AI-Created Images Are So Good Even AI Has Trouble Spotting Some 

    Sharing Fake Nude Images Could Become a Federal Crime Under Proposed Law 

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    • 18 min
    Alexa, Can You Hear Me? Making AI Voice Assistants Better for Everyone.

    Alexa, Can You Hear Me? Making AI Voice Assistants Better for Everyone.

    AI voice assistants like Apple’s Siri and Amazon’s Alexa have become part of our everyday lives. But for people with atypical voices, including those with conditions like Parkinson’s disease and muscular dystrophy, these tools can be frustrating to use. Now a number of big tech companies including Amazon and Google, as well as research organizations are coming up with ways to make them more useful. What will it take to create voice assistants that work for everyone right out of the box? 



    What do you think about the show? Let us know on Apple Podcasts or Spotify, or email us: FOEPodcast@wsj.com 



    Further reading:

    Tech Firms Train Voice Assistants to Understand Atypical Speech 

    Amazon Makes Alexa Chattier and More Capable Using Generative AI  

    Alexa, Siri, Cortana: Why All Your Bots Are Female   

    Deep Speech: Scaling up end-to-end speech recognition (2014, arXiv)  

    Librispeech: An ASR corpus based on public domain audio books (2015, IEEE International Conference)  

    Speech Accessibility Project from the University of Illinois Urbana-Champaign

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    • 22 min

Customer Reviews

4.3 out of 5
1.4K Ratings

1.4K Ratings

scooter s tjimetson 888 ,

Great news/tech broadcast

Just the right amount of information and detail. Credible reporting on interesting topics.

Jim Hull MA ,

Superb Deep Look in Sciences

Excellent extensive investigations in an intelligent, accessible conversational presentation

toomanyaveragepodcastsnow ,

Would’ve liked to listen but couldn’t

Some other reviewers on here have mentioned the excessive vocal fry from some of the reporters. The vocal fry really does make me think I’m listening to a surly 15-year old, not a professional Wall Street Journal reporter or host.

Let me also add “up-speak” and excessive use of “like” to the list of annoyances as well…”like, does every, like, sentence, like, have to be like, a question?” If reading that sounds a bit ridiculous, then try listening to it. You can’t. It’s impossible. Nails on a chalkboard.

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