Is the AI "tipping point" already here? Paul Roetzer and Mike Kaput jump into ChatGPT Health, Claude Code, and why we don't need AGI to transform work. We also break down how AI is reshaping healthcare, the $20B xAI funding round, and real-world use cases for building apps in minutes with Lovable. Plus, a look at Google Gemini’s Gmail updates and the dark side of Grok’s latest image tools.

Show Notes: Access the show notes and show links here

Click here to take this week's AI Pulse.

Timestamps:

00:00:00 — Intro

00:04:46 — AI Pulse

00:07:05 — ChatGPT Health

00:21:01 — Audience Reactions to Episode 189

00:29:33 — Real World AI Use Cases for Lovable, Claude Code, and More

00:51:12 — xAI Raises $20B Series E

00:56:28 — Anthropic Is Raising $10 Billion

00:59:09 — Google DeepMind and Boston Dynamics Partner on Humanoid Robots

01:05:10 — Google Makes Big AI Updates to Gmail

01:08:11 — Similarweb Global AI Tracker Report

01:10:41— xAI Draws Fire for AI That “Digitally Undresses” People

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A Google principal engineer claims Claude Opus 4.5 completed a year's worth of work in a single hour. Now, the industry is grappling with a sudden, massive leap in coding capabilities that has experts warning that everything is about to change.

In this week’s episode, Paul Roetzer and Mike Kaput dissect the signals that we may have entered the "singularity." They explore the fallout from Yann LeCun’s scorched-earth exit from Meta (including claims of "fudged" benchmarks), Sal Khan’s "1% Solution" for job displacement, and NVIDIA’s strategic acquisition of Groq talent.

Show Notes: Access the show notes and show links here

Click here to take this week's AI Pulse.

Timestamps:

00:00:00 — Intro

00:04:14 — AI Pulse

00:05:41 — How Close Are We to AGI?

00:31:48 — AI Change Management

00:38:18 — OpenAI Is Hiring a “Head of Preparedness”

00:41:59 — Khan Academy Creator Calls for Job Displacement Fund

00:47:30 — Jevons Paradox in AI

00:55:20 — The Rise of Vibe Revenue

00:57:57 — Salesforce Says Trust in LLMs Is Declining

01:03:25 — Nvidia Does Landmark Deal with Groq

01:06:21 — Meta Acquires Manus

01:08:34 — Yann LeCun Speaks Out

01:14:14 — OpenAI Preps for Largely Audio-Based AI Device

01:17:39— AI Predictions for 2026

01:20:35 — OpenAI Releases Prompt Packs for ChatGPT

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Is 2026 the year society finally pushes back against artificial intelligence? In this year's final episode, Paul Roetzer and Mike Kaput explore the immediate future of AGI, analyzing Demis Hassabis’s warning of a shift ten times larger than the Industrial Revolution and Shane Legg’s prediction of human-level intelligence by 2028.

The hosts break down critical developments, including Google’s Gemini 3 Flash, OpenAI’s staggering valuation talks, and the rise of world models that simulate physical reality. 

Show Notes: Access the show notes and show links here

Click here to take this week's AI Pulse.

Timestamps:

00:00:00 — Intro

00:03:27 — AI Pulse

00:07:05 — AI Trends to Watch in 2026

00:31:59 — Demis Hassabis on the Future of Intelligence

00:42:35 — DeepMind Co-Founder on the Arrival of AGI

00:47:53 — Are AI Job Fears Overblown?

00:56:05 — Gemini 3 Flash

00:59:38 — OpenAI Eyes Billions in Fresh Funding

01:02:19 — OpenAI Releases New ChatGPT Images

01:04:18 — Karen Hao Issues AI Book Correction

01:08:18 — AI Keeps Getting Political (Roundup)

01:12:51 — AI World Models

01:17:31 — US Government Launches Tech Force

This episode is brought to you by AI Academy by SmarterX.

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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.

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A billion-dollar check from Disney. A federal crackdown on state AI laws. And a new model from OpenAI that beats human experts 71% of the time.

In Episode 186, Paul and Mike unpack the release of GPT-5.2, Disney’s strategic pivot to license its IP for Sora, and President Trump’s executive order designed to accelerate "American AI dominance" at all costs.

Plus: Is the future of data centers in space? Why is Microsoft Copilot struggling in the enterprise? And a look at Time’s "Architects of AI."

Show Notes: Access the show notes and show links here

Click here to take this week's AI Pulse.

Timestamps:

00:00:00 — Intro

00:03:46 — AI Pulse

00:06:27 — GPT-5.2 and OpenAI Turns 10

00:22:43 — Disney-OpenAI Deal

00:32:41 — Trump Executive Order to Override State AI Laws

00:44:17 — OpenAI State of Enterprise AI Report

00:53:03 — Google Cloud ROI of AI Reports

00:56:14 — Microsoft Lowers AI Sales Expectations

01:02:14 — TIME Person of the Year: The “Architects” of AI

01:06:08 — The Economics of AI and Data Centers in Space

01:14:31 — Shopify SimGym

01:18:37 — Research on Teen AI Usage

01:21:11 — OpenAI Certifications

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.

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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.

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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.

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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.

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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.

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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/  

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