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#187: AI Answers - Overcoming AI Stigma, Vibe Coding, Redefining Productivity, Building AI-Native Companies, and Finding Trusted Sources

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Manage episode 524888377 series 3272454
Content provided by Claire Prudhomme, Paul Roetzer, and Mike Kaput. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Claire Prudhomme, Paul Roetzer, and Mike Kaput 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://podcastplayer.com/legal.

As we close out the year, this AI Answers episode offers a reflective look at how organizations are actually navigating AI adoption.

Cathy McPhillips and Paul Roetzer take a step back from tools and headlines to talk about the human side of AI: leadership behavior, workplace culture, and how long-held ideas about productivity and value are being quietly challenged as AI becomes part of everyday work.

Show Notes: Access the show notes and show links here

Timestamps:

00:00:00 — Intro

00:04:05 — What responsibility do leaders have to confront the fear of AI head-on?

00:05:53 — Is there value in intentionally keeping some work, not just for fact-checking or “human-in-the-loop” oversight, but as a form of cognitive reset?

00:09:18 — Should productivity still be the primary measure of an employee’s value?

00:012:13 — What are behaviors executives should model to make AI use feel safe, normal, and expected across teams?

00:17:16 — What are the clearest structural signs an organization is talking about AI transformation while actively resisting it?

00:20:47 — Why do so many organizations default to treating AI as an IT initiative?

00:22:17 — What is vibe coding?

00:23:47 — If you could go back to the very first AI Show episode and correct one major prediction or assumption you had about AI, what would it be and why?

00:28:04 — What is one listener question that fundamentally changed how you think about AI?

00:30:43 — What has been the most personally challenging part of leading conversations about AI’s impact on jobs, identity, and the future?

00:35:48 — Where do you think most companies actually over-invested in AI?

00:39:53 — What is one thing you would refuse to automate, no matter how good the tech gets, and why?

00:43:04 — What is your measure for adding a podcast or other medium to your trusted resources?

00:45:03 — How can listeners think about simplifying how they’re thinking about, piloting, and scaling AI?

This episode is brought to you by Google Cloud:

Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner.

Learn more about Google Cloud here: https://cloud.google.com/

Visit our website

Receive our weekly newsletter

Join our community:

Slack

LinkedIn

Twitter

Instagram

Facebook

Looking for content and resources?

Register for a free webinar

Come to our next Marketing AI Conference

Enroll in our AI Academy

  continue reading

188 episodes

Artwork
iconShare
 
Manage episode 524888377 series 3272454
Content provided by Claire Prudhomme, Paul Roetzer, and Mike Kaput. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Claire Prudhomme, Paul Roetzer, and Mike Kaput 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://podcastplayer.com/legal.

As we close out the year, this AI Answers episode offers a reflective look at how organizations are actually navigating AI adoption.

Cathy McPhillips and Paul Roetzer take a step back from tools and headlines to talk about the human side of AI: leadership behavior, workplace culture, and how long-held ideas about productivity and value are being quietly challenged as AI becomes part of everyday work.

Show Notes: Access the show notes and show links here

Timestamps:

00:00:00 — Intro

00:04:05 — What responsibility do leaders have to confront the fear of AI head-on?

00:05:53 — Is there value in intentionally keeping some work, not just for fact-checking or “human-in-the-loop” oversight, but as a form of cognitive reset?

00:09:18 — Should productivity still be the primary measure of an employee’s value?

00:012:13 — What are behaviors executives should model to make AI use feel safe, normal, and expected across teams?

00:17:16 — What are the clearest structural signs an organization is talking about AI transformation while actively resisting it?

00:20:47 — Why do so many organizations default to treating AI as an IT initiative?

00:22:17 — What is vibe coding?

00:23:47 — If you could go back to the very first AI Show episode and correct one major prediction or assumption you had about AI, what would it be and why?

00:28:04 — What is one listener question that fundamentally changed how you think about AI?

00:30:43 — What has been the most personally challenging part of leading conversations about AI’s impact on jobs, identity, and the future?

00:35:48 — Where do you think most companies actually over-invested in AI?

00:39:53 — What is one thing you would refuse to automate, no matter how good the tech gets, and why?

00:43:04 — What is your measure for adding a podcast or other medium to your trusted resources?

00:45:03 — How can listeners think about simplifying how they’re thinking about, piloting, and scaling AI?

This episode is brought to you by Google Cloud:

Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner.

Learn more about Google Cloud here: https://cloud.google.com/

Visit our website

Receive our weekly newsletter

Join our community:

Slack

LinkedIn

Twitter

Instagram

Facebook

Looking for content and resources?

Register for a free webinar

Come to our next Marketing AI Conference

Enroll in our AI Academy

  continue reading

188 episodes

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