DiscoverThe Shift Show with Rachel BourneThe Tech and Data Skills Everyone Needs Now: Beating the Bot, Building Trust, and Thinking Critically in the AI Age
The Tech and Data Skills Everyone Needs Now: Beating the Bot, Building Trust, and Thinking Critically in the AI Age

The Tech and Data Skills Everyone Needs Now: Beating the Bot, Building Trust, and Thinking Critically in the AI Age

Update: 2025-06-17
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Episode 7: Tech & Data Mini-Series – Part 2

Title: Beating the Bot, Building Trust, and Thinking Critically in the AI Age


Welcome back to Part 2 of our Tech & Data Proficiency series. This episode goes beyond the buzzwords and dives into how real professionals use tech fluency and data savviness to stay visible and valuable in a world increasingly run by algorithms.


Rachel is joined again by:




  • Lydia Wu – HR tech strategist who calls out “tech theater” for what it is




  • Zack Kikendall – translating Workday AI for enterprise decision-makers




  • Jeet Roy – a data storyteller who makes insights actually make sense




What you’ll learn:


  • Why resumes are broken—and what to do about it




  • The trust paradox of AI: how to question your tools without losing credibility




  • How to build real critical thinking into team workflows




  • Simple, everyday ways to grow your data and tech muscle (even meal planning counts!)




⏱️ Timestamps:




  • 01:43 | Beating the bot (without beating yourself up)




  • 07:00 | The danger of training AI on your own bias




  • 12:38 | Creating space for healthy, skeptical thinking




  • 22:30 | 1 habit every future-ready pro needs




  • 27:30 | ChatGPT and the relationship-saving hack




📥 Visit www.theshiftshow.net for more information and tools

🎧 Listen wherever you get your podcasts

📲 Follow @ShiftHappens4U for clips + tools

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The Tech and Data Skills Everyone Needs Now: Beating the Bot, Building Trust, and Thinking Critically in the AI Age

The Tech and Data Skills Everyone Needs Now: Beating the Bot, Building Trust, and Thinking Critically in the AI Age

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