The Artificial Intelligence Show

What happens when AI stops being a tool and starts reshaping every task inside your company?  In this AI Answers episode, Paul Roetzer and Cathy McPhillips go through audience questions on where AI jobs are really heading, how agents and “AI ops” are emerging, and what to expect as reasoning models accelerate into 2026. Show Notes: Access the show notes and show links here Timestamps: 00:00:00 — Intro 00:03:55 — What AI Positions are in demand for professionals who are not coders? How can skill sets be presented to hiring managers?  00:08:49 — What are the top AI concepts that organizational communicators need to know? 00:10:56 — What should I focus on in AI? 00:13:21 — What do you think would be a good area to focus on as someone trying to break into the AI industry? 00:16:15 — Would you recommend prioritizing 'Generative' use cases or 'Predictive' use cases to achieve the quickest win? 00:18:45 — What’s the most innovative way to get started? Do we need a certain level of data hygiene first, or can AI help clean and organize the data as we go? 00:23:55 — Can you talk about what to be aware of and best practices for sourcing use cases? 00:28:25 — What is the best way to introduce AI tools to a technical/industrial workforce without causing 'replacement fear'?  00:30:47 — What would you say to people who are trying to move beyond the mechanical use of AI and actually trust the technology enough to use it in meaningful ways? 00:34:20 — How do you see AI-driven search tools impacting traditional search engines? 00:36:43 — As generative AI matures, what’s the next significant shift? 00:41:04 — Do companies understand AI well enough before reducing their human workforce? 00:45:51 — What are the main factors that could slow down the advancements of AI? 00:49:11 — As AI systems move toward recursive self-improvement, what guardrails are needed to ensure they aren’t learning from a distorted or incomplete view of the world?   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 

OpenAI has officially declared a "Code Red," reportedly delaying future product launches to frantically shore up ChatGPT against a resurgent Google. This defensive pivot comes just as Google unveils Gemini 3 Deep Think and Workspace Studio, powerful new tools that allow users to build autonomous agents without writing a single line of code. On this week’s episode, Paul and Mike analyze this shift in power and explore the industry's quiet preparation for "recursive self-improvement," a near-future where AI models evolve without human intervention. They also discuss the backlash over OpenAI’s ad tests, major leadership shakeups at Apple, and Anthropic’s race to the public markets. Show Notes: Access the show notes and show links here Click here to take this week's AI Pulse. Timestamps: 00:00:00 — Intro 00:03:03 — AI Pulse 00:07:54 — OpenAI Code Red 00:16:28 — Google Releases 00:28:59 — AI Industry Preps for “Recursive Self-Improvement” 00:42:32 — OpenAI Slammed for Ads 00:47:20 — Apple Talent Shakeups 00:51:22 — Anthropic IPO and AI Interviewer 00:59:42 — Jensen Huang Rogan Interview 01:06:04 — Perplexity Lawsuits 01:09:33 — Meta Acquires Limitless 01:12:39 — Pope Weighs In on AI 01:16:53 — Data on AI Job Cuts 01:20:50 — Data on AI and Parenting 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 an individual purchase or a membership by using code POD100 at academy.smarterx.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 

Is the "AI Bubble" real? We analyze "The Big Short" investor Michael Burry’s bet against the industry. Mike and Paul also break down MIT’s "Project Iceberg," which suggests 11.7% of the workforce is already exposed to replacement, and a new McKinsey report on the 7x growth in demand for AI fluency. Plus, Claude Opus 4.5, Artificial Superintelligence, political divides over AI, and more in our rapid-fire section. Show Notes: Access the show notes and show links here Click here to take this week's AI Pulse. Timestamps: 00:00:00 — Intro 00:04:19 — AI Pulse 00:08:04 — MIT Study: AI Can Already Replace 11.7% of US Workforce 00:23:55 — Is There an AI Bubble? 00:33:24 — Political Divides Over AI Are Getting Worse 00:40:27 — ChatGPT Turns 3 00:46:59 — Claude Opus 4.5 00:49:19 — ChatGPT Shopping Research 00:52:30 — Google Encroaches on Nvidia’s Chip Dominance 00:55:58 — Suno Embraces Training on Licensed Music 00:58:48 — Insurers Retreat from Covering AI Risks 01:02:21 — Dwarkesh Podcast with Ilya Sutskever 01:08:41 — “AI 2027” Revises Forecasts to 2030 01:12:26 — The Thinking Game and AlphaFold 01:18:38 — DeepSeek V3.2 01:20:27 — Runway Gen-4.5 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 an individual purchase or a membership by using code POD100 at academy.smarterx.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 

Google released Gemini 3, its most advanced model yet, along with Nano Banana Pro, a leading image generation and editing model. On this week's episode, Paul and Mike go deeper on those topics and other top news this week, including GPT-5.1 Pro, controversy around a popular AI book, Nvidia earnings, and more. Show Notes: Access the show notes and show links here Click here to take this week's AI Pulse. Timestamps: 00:00:00 — Intro 00:03:32 — AI Pulse Survey 00:08:42 — Gemini 3 00:18:11 — Nano Banana Pro 00:26:06 — GPT-5.1 Pro 00:28:54 — Nvidia Earnings 00:36:14 — Nvidia, Microsoft Invest in Anthropic 00:40:28 — OpenAI Board Member Controversy 00:42:43 — AI Gets More Political Over State-Level Regulations 00:47:22 — AI Super Pac Flexes Its Muscles 00:49:40 — Karen Hao Book Controversy 00:54:19 — New Jeff Bezos AI Startup 00:56:38 — Amazon Gives Rufus Rave Reviews 00:59:18 — AI Gets Further Embedded Into Education 01:01:34 — Entry Level Unemployment 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 an individual purchase or a membership by using code POD100 at academy.smarterx.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 

AI literacy is becoming essential across every organization, but most leaders are still figuring out how to measure it, teach it, and communicate its value.  In this episode of AI Answers, we dig into questions about emerging AI skills frameworks, why literacy matters for every employee, how to talk about risk and responsible AI guidelines, and what to do when teams resist training or demand proof before pilots begin. Show Notes: Access the show notes and show links here Timestamps: 00:00:00 — Intro 00:05:33 — Question #1: Have any AI literacy frameworks emerged that help assess and track employees’ AI skills? 00:09:45 — Question #2: How important is it for all employees to develop basic AI literacy?  00:12:34 — Question #3: How can leaders articulate the business value of investing in AI literacy when stakeholders aren’t yet convinced it matters? 00:14:27 — Question #4: What’s the most effective way to help senior executives understand the risk of not having AI guidelines in place? 00:16:36 — Question #5: When companies start drafting responsible AI guidance, do you recommend formal “policies,” more flexible “guidelines,” or something in between?  00:20:00 — Question #6: Many teams love the idea of AI but resist assessments, training, or structured onboarding. How can leaders overcome that resistance? 00:23:15 — Question #7: How should organizations respond when proof is demanded before pilots have happened? 00:26:29 — Question #8: Are there organizations successfully using a single overarching KPI to measure the impact of AI?  00:28:20 — Question #9: What’s your advice for getting data, governance, and access into shape so AI can actually deliver results?  00:32:48 — Question #10: How close are we to real enterprise adoption of AI Agents, and what should organizations be preparing for now? 00:38:39 — Question #11: Have you had a chance to use GPT-5.1 yet?  00:42:10 — Question #12: As generative AI reshapes search, what should marketers know about the shift from SEO to GEO?  00:45:39 — What do you think organizations should keep an eye on in the next few months?   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