The Artificial Intelligence Show Podcast Por Paul Roetzer and Mike Kaput arte de portada

The Artificial Intelligence Show

The Artificial Intelligence Show

De: Paul Roetzer and Mike Kaput
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The Artificial Intelligence Show (formerly The Marketing AI Show) is the podcast that helps your business grow smarter by making AI approachable and actionable. The AI Show podcast is brought to you by the creators of the Marketing AI Institute, AI Academy for Marketers, and the Marketing AI Conference (MAICON). Hosts Paul Roetzer, founder and CEO of Marketing AI Institute, and Mike Kaput, Chief Content Officer, break down all the AI news that matters and give you insights and perspectives that you can use to advance your company and your career. Join Paul and Mike on The AI Show as they work to accelerate AI literacy for all.All Rights Reserved 2023 Economía Marketing Marketing y Ventas
Episodios
  • #171: AI Answers - AI in Regulated Industries, AI Agents, AI Training, When AI Gets It Wrong, and Critical Skills for Early-Career Pros

    #171: AI Answers - AI in Regulated Industries, AI Agents, AI Training, When AI Gets It Wrong, and Critical Skills for Early-Career Pros
    Oct 2 2025
    Think you’re asking the right questions about AI? In this episode of The Artificial Intelligence Show, Paul Roetzer and Cathy McPhillips tackle questions from our audience about AI adoption, from reimagining business models to managing risk in regulated industries. With candid insights, real-world use cases, and a few unexpected laughs, this “AI Answers” session reveals where companies are getting stuck, how to move past resistance, and the most critical AI skills professionals need to help shape their future. Show Notes: Access the show notes and show links here Timestamps: 00:00:00 — Intro 00:06:48 — Question #1: How have you seen AI get introduced to a financial services firm as they are highly regulated? 00:09:10 — Question #2: What guidance would you give leaders who want to fundamentally reimagine business models for the next decade? 00:15:08 — Question #3: How do your five steps for scaling AI apply when an organization has one person leading company-wide adoption? 00:19:28 — Question #4: How do you actually convince leadership to commit the resources and build true AI enablement across the business? 00:22:49 — Question #5: If a company isn’t actively using AI agents yet, do they still need to consider policies and guardrails around them? 00:26:22 — Question #6: For independents or loosely connected teams, is it even possible, or advisable, to share a single enterprise AI account? 00:29:59 — Question #7: If a company doesn’t have an AI Council but leadership wants a vision for each department, where can someone start learning what AI can realistically do in each function? 00:33:14 — Question #8: What are your best practices for training newer AI users? 00:35:06 — Question #9: How do you drive stronger engagement in AI enablement trainings when individual contributors already feel too busy with their day-to-day work to spend time learning AI? 00:36:16 — Question #10: What is the best way to handle a situation where AI got something wrong? 00:40:41 — Question #11: For new and early-career professionals, what essential skills or habits are most critical for proactively shaping the future with AI, rather than just reacting to it? 00:47:08 — Question #12: How should marketers weigh the legal and reputational risks of AI-generated content when companies can't always claim ownership? 00:49:50 — Question #13: Relative to all the expectations around AI, where have you seen it fall the shortest in practice? 00:52:06 — Question #14: A lot of people are learning how to prompt AI more effectively, but how do you also train and guide it to be used ethically in the workplace? 00:54:56 — Question #15: Of the five essential steps to scaling AI, which step is the most challenging for organizations? What do you see leading organizations do differently? 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/ This week’s episode is also brought to you by MAICON, our 6th annual Marketing AI Conference, happening in Cleveland, Oct. 14-16. The code POD100 saves $100 on all pass types. For more information on MAICON and to register for this year’s conference, visit www.MAICON.ai. 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
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    1 h
  • #170: How ChatGPT Is Used at Work, New GDPval Benchmark, AI “Workslop,” ChatGPT Pulse, Meta Vibes & More AI Economy Warnings

    #170: How ChatGPT Is Used at Work, New GDPval Benchmark, AI “Workslop,” ChatGPT Pulse, Meta Vibes & More AI Economy Warnings
    Sep 30 2025
    Never-before-seen research on how ChatGPT is actually used at work, a brand new evaluation framework to determine AI's impact on the economy, and the rise of "AI workslop"... Needless to say, it's been a busy week. In this week’s episode of The Artificial Intelligence Show, Paul Roetzer and Mike Kaput break down everything going on in the world of AI, including the topics above and brand new AI releases like ChatGPT Pulse, Meta Vibes, and much, much more. Show Notes: Access the show notes and show links here Timestamps: 00:00:00 — Intro 00:06:36 — ChatGPT Usage and Adoption at Work 00:16:03 — OpenAI GDPVal Benchmark 00:30:43 — AI Workslop 00:40:40 — ChatGPT Pulse 00:48:00 — OpenAI-Nvidia Mega-Deal 00:54:23 — Meta Vibes 00:58:32 — ChatGPT Parental Controls 01:02:24 — Latest Updates on AI and Jobs 01:09:30 — Mercor Founder Interview 01:12:11 — AI Product and Funding Updates This episode is brought to you by AI Academy by SmarterX. AI Academy is your gateway to personalized AI learning for professionals and teams. Discover our new on-demand courses, live classes, certifications, and a smarter way to master AI. You can get $100 off either an individual purchase or a membership by using code POD100 when you go to academy.smarterx.ai. This week’s episode is brought to you by MAICON, our 6th annual Marketing AI Conference, happening in Cleveland, Oct. 14-16. The code POD100 saves $100 on all pass types. For more information on MAICON and to register for this year’s conference, visit www.MAICON.ai. 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
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    1 h y 18 m
  • #169: AI Answers - AI for Job Searching, Cutting Through the AI Noise, SEO vs. GEO/AEO, The Loss of Critical Thinking & How AI Is Reshaping Education

    #169: AI Answers - AI for Job Searching, Cutting Through the AI Noise, SEO vs. GEO/AEO, The Loss of Critical Thinking & How AI Is Reshaping Education
    Sep 25 2025
    What’s the smartest way to learn AI if you don’t have a tech background? How can AI help you in your job search? And how do we balance innovation with ethics while holding on to what makes us human? Drawing on questions from our 51st Intro to AI class, Cathy and Paul are here with answers. Show Notes: Access the show notes and show links here Timestamps: 00:00:00 — Intro 00:07:07 — Question #1: What does it take to have proficiency in AI for a person with a less technical background? 00:10:19 — Question #2: What’s the best way to use AI in a job search? 00:13:22 — Question #3: How can one find a clear learning path in the whole noise of AI tools? 00:15:06 — Question #4: If I wanted to focus on learning one model or tool in-depth, which should I start with? 00:17:09 — Question #5: Are there specific areas where AI models can help resource-strapped teams beyond content writing and research? 00:19:48 — Question #6: If AI is not used to replace humans with writing/thinking/innovation, what are the primary drivers of ROI for companies? 00:22:51 — Question #7: How do you see marketing in the future? 00:25:49 — Question #8: How much should we trust our time and money investments in this technology when none of the major players in the space currently have a defined path to profitability? 00:28:38 — Question #9: Can you speak to the change in SEO to GEO and AEO? 00:31:43 — Question #10: Should companies be investing in their own AI infrastructure, or is it safer to rely on external platforms? 00:34:09 — Question #11: A negative impact on humanity seems like one of the biggest risks of AI; how can we mitigate these risks through corporate and business responsibility?00:36:26 — Question #12: What are your thoughts on the loss of critical thinking? 00:39:20 — Question #13: How are organizations putting ethical AI frameworks into practice, and where should they draw the line on privacy? 00:42:26 — Question #14: How transparent should companies be when using AI in their customer experiences? 00:46:09 — Question #15: What’s the trade-off between using “safe” enterprise-ready models vs. open/uncensored models? 00:48:45 — Question #16: What uniquely human qualities should people focus on to be successful and happy in this new reality? 00:52:11 — Question #17: How have your thoughts about AI’s impact on education changed or evolved over the past 12 months? 00:55:12 — Question #18: How do you think brands can protect their voice when people have all these AI tools? 00:57:50 — Question #19: What AI advances and opportunities have the SmarterX team most excited? And most frustrated? 00:59:37 — Question #20: What session at MAICON are you most looking forward to? 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/ This week’s episode is also brought to you by MAICON, our 6th annual Marketing AI Conference, happening in Cleveland, Oct. 14-16. The code POD100 saves $100 on all pass types. For more information on MAICON and to register for this year’s conference, visit www.MAICON.ai. 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 ConferenceEnroll in our AI Academy
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    1 h y 3 m
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most listen podcasts delivered with sincere it’s and humility for the vast knowledge out there in AI

Best AI podcast and i checked out quite a few

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This podcast is my go-to for staying up to date on AI, but what sets it apart is how it goes beyond the headlines to explore the deeper implications. The discussions are insightful, well-researched, and thought-provoking, connecting the dots between emerging trends and their real-world impact—especially on the future of work and the evolving job landscape. If you want to stay ahead of the curve and truly understand how AI is shaping industries and careers, this is a must-listen!

The Best for Staying Informed and Thinking Ahead

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I have have been impressed by how informative the podcast is. I like the tone of it. I feel it is helping me be more prepared for the future.

Opening my eyes to what is happening with AI

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