• #246: AI Answers - Live from MAICON 2026: AGI, AI Costs, and the End of GPTs
    Oct 15 2026

    When will we achieve AGI? Recorded live in the podcast studio at MAICON 2026, this AI Answers episode has Paul Roetzer and Mike Kaput answering questions submitted from our audience.

    They dig into what AGI means for everyday work, whether Claude and ChatGPT get more expensive after the IPOs, how to drive adoption when you're not the CEO, what to use now that GPTs are going away, and who owns the AI work you build at your job.

    00:00:00 — Intro

    00:04:03 What MAICON insight has challenged your thinking about where AI is headed?

    00:07:46 How do you keep up with AI without burning out?

    00:12:09 How do you go from following a demo to using AI in your own work?

    00:15:21 How do you get AI adopted in the messy middle of an organization?

    00:17:41 How do you build an AI roadmap you can stick to as models change?

    00:22:09 Will Claude and ChatGPT get more expensive after the IPOs?

    00:26:23 What can AI do versus what should AI do?

    00:30:35 What does AGI actually look like for a regular person?

    00:35:25 Can AI solve the unemployment it creates?

    00:39:42 Can you take your AI work with you from job to job?

    00:41:19 Do you have to readjust when you switch AI models at a new job?

    00:44:08 What should you use now that GPTs are going away?

    00:46:42 Closing thoughts and a look ahead to MAICON 2027

    This week’s episode is brought to you by MAICON, our 7th annual Marketing AI Conference, happening in Cleveland, Oct. 14-16.

    For more information on MAICON and to register for this year’s conference, visit www.MAICON.ai.

    Show Notes: Access the show notes and show links here

    Visit our website

    Receive our weekly newsletter

    Join our community:

    Slack Community

    LinkedIn

    Twitter

    Instagram

    Facebook

    YouTube

    Looking for content and resources?

    Register for a free webinar

    Come to our next Marketing AI Conference

    Enroll in our AI Academy

    Show More Show Less
    48 mins
  • #245: OpenAI DevDay and Dots, OpenAI’s Safety Crisis, Trump Renames Artificial Intelligence & Anthropic Targets Pre-Thanksgiving IPO Ad:
    Oct 6 2026
    An OpenAI safety researcher resigned and published an essay arguing the company's safety culture can't keep up with its own release pace; the same week OpenAI fired three safety researchers and canceled a model release over internal test results.Paul Roetzer and Mike Kaput also break down OpenAI's DevDay and dots, the voluntary Super Intelligence Accord signed at the White House, Anthropic's pre-Thanksgiving IPO, Google's Gemini 4 Argon preview, an FTC probe into the major labs, and a real-time AI video model that fooled nearly half its testers.AI-Pulse Survey: Fill out this week’s AI-Pulse Survey here.Show Notes: Access the show notes and show links hereTimestamps:00:00:00 — Intro00:05:19 — OpenAI DevDay and Dots00:20:04 — OpenAI’s Safety Crisis Deepens00:28:51 — Trump Signs Super Intelligence Accord00:54:19 — Anthropic Targets Pre-Thanksgiving IPO00:59:02 — Google Previews Gemini 401:02:29 — AI Companies Face New Liability Pressure01:07:07 — Anthropic and Pope Leo’s AI Encyclical01:17:39 — Startup Claims First “Human Interaction” Model01:22:47 — AI Use Case Spotlight01:28:22 — AI Product and Funding UpdatesThis episode is supported by Outshift, Cisco's incubation engine for frontier technology:⁠“Scaling Out Superintelligence”⁠⁠ Vijoy Pandey, January 2026. The technical whitepaper detailing the Internet of Cognition architecture, three-layer stack, and cognition state protocols. ⁠⁠Internet of Cognition Interactive Demo⁠⁠⁠⁠ ⁠⁠Clickable walkthrough showing per-agent activity, intent, context, and collective reasoning across a multi-agent SRE system.Visit our websiteReceive our weekly newsletterJoin our community:Slack CommunityLinkedInTwitterInstagramFacebookYouTubeLooking for content and resources?Register for a free webinarCome to our next Marketing AI ConferenceEnroll in our AI Academy
    Show More Show Less
    1 hr and 32 mins
  • #244: How Alibaba.com Is Building the Future of Agent-to-Agent Commerce
    Oct 1 2026

    Kuo Zhang, president of Alibaba.com, believes B2B commerce is becoming agent-to-agent. He joins Mike Kaput to explain Accio, Alibaba.com's agent platform, and how it collapses a 60-step sourcing process into hours. They cover the Model × Harness × Context formula, the Commerce Agent Bench benchmark, what had to change inside a 26-year-old company, and why the future of global trade runs on agents.

    Part of the AI Transformations series.

    Show Notes: Access the show notes and show links here

    Timestamps:

    00:00:00 — Intro

    00:7:30 — Why Accio

    00:8:49 — Inside Alibaba.com's AI transformation with Accio Work

    00:15:12 — The pain points Accio was built to solve

    00:19:32 — Real examples of entrepreneurs using Accio Work

    00:24:15 — The technology powering the transformation

    00:28:50 — How AI agents will reshape commerce at large

    00:32:26 — What had to change inside the company

    00:37:26 — The hardest parts of shipping agent-based products

    00:40:47 — How Alibaba.com measures agent performance

    This week’s episode is also brought to you by MAICON, our 6th annual Marketing AI Conference, happening in Cleveland, Oct. 13-15. 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 Community

    LinkedIn

    Twitter

    Instagram

    Facebook

    YouTube

    Looking for content and resources?

    Register for a free webinar

    Come to our next Marketing AI Conference

    Enroll in our AI Academy

    Show More Show Less
    47 mins
  • #243: GPT-6 Sol and Luna, Opus 5.5, the New Microsoft Copilot, Jensen Huang vs. AI Doomers & Introducing AI Score
    Sep 29 2026
    Three big model updates landed at once, GPT-6 Sol and Luna, Claude Opus 5.5, and Microsoft's redesigned Copilot, and the story isn't raw intelligence, it's reliability, efficiency, and a new "per-task pricing" mindset. Paul Roetzer and Mike Kaput break down what that means for your work. Then: Jensen Huang's case against the AI doomers from his Ezra Klein interview, a first look at AI Score by SmarterX, and a rapid-fire run through Meta Connect, Amazon blocking Muse, OpenAI's rogue-agent disclosures, and more. AI-Pulse Survey: Fill out this week’s AI-Pulse Survey here. Show Notes: Access the show notes and show links here Timestamps: 00:00:00 — Intro 00:06:57 — GPT-6 Sol and Luna, Opus 5.5, and the New Microsoft Copilot 00:24:16 — Jensen Huang vs. the AI Doomers 00:41:57 — Introducing AI Score 00:53:12 — GPTs Are Being Retired 01:06:30 — Meta Connect 2026 01:12:39 — Amazon Blocks Muse 01:15:20 — OpenAI Discloses More Rogue Agent Incidents 01:20:00 — OpenAI Gets Vocal on AI Standards 01:22:59 — AI Use Case Spotlight 01:26:36 — AI Product and Funding Updates This episode is supported by Outshift, Cisco's incubation engine for frontier technology: “Scaling Out Superintelligence”⁠ Vijoy Pandey, January 2026. The technical whitepaper detailing the Internet of Cognition architecture, three-layer stack, and cognition state protocols. ⁠Internet of Cognition Interactive Demo⁠⁠ ⁠Clickable walkthrough showing per-agent activity, intent, context, and collective reasoning across a multi-agent SRE system. Visit our website Receive our weekly newsletter Join our community: Slack Community LinkedIn Twitter Instagram Facebook YouTube Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy
    Show More Show Less
    1 hr and 31 mins
  • #242: How Baptist Health’s Marketing Team Took the Lead on AI Transformation
    Sep 24 2026

    One task at Baptist Health used to take about 10 hours a week. Now it takes roughly two minutes, and that's just one piece of a two-year AI transformation.

    Christine Kotler, Chief Marketing & Communications Officer of Baptist Health South Florida, joins Mike Kaput to walk through how her marketing and communications team built an AI adoption model from the ground up: a structured learning curriculum, the peer-coaching "AI Sherpa" model, real use cases, and the honest friction of doing this inside a regulated healthcare organization.

    Part of the AI Transformations series, presented by Google Cloud.

    Show Notes: Access the show notes and show links here

    Timestamps:

    00:00:00 — Intro

    00:06:00 — Why marketing & comms took the lead on generative AI

    00:10:57 — How the transformation started to unfold

    00:14:23 — The AI Sherpas

    00:20:12 — The learning hub and building their own AI curriculum

    00:22:14 — How AI is changing the marketing/comms team's work

    00:28:28 — The people side of the transformation

    00:33:02 — Where transformation got messier or harder than expected

    00:36:27 — How AI will reshape roles, workflows, and team structure

    00:40:08 — Advice for a leader stepping up to lead AI transformation

    This episode is presented 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 Community

    LinkedIn

    Twitter

    Instagram

    Facebook

    YouTube

    Looking for content and resources?

    Register for a free webinar

    Come to our next Marketing AI Conference

    Enroll in our AI Academy

    Show More Show Less
    44 mins
  • #241: Pacing the Frontier Gets Political, Why AI Labs Could Keep the Best Models for Themselves & Introducing the AI Transformation Blueprint
    Sep 22 2026
    AI-safety pacing became a political fight this week: Trump versus a bipartisan push, with data centers and the midterms in the middle. Paul and Mike go deeper on the part that matters more: the widening gap between the models labs keep and the ones you can use, Noam Brown's warning about it, and OpenAI's six new rogue-agent disclosures. Plus Paul's surprise book announcement and a full rapid-fire slate. AI-Pulse Survey: Fill out this week’s AI-Pulse Survey here. Show Notes: Access the show notes and show links here Timestamps: 00:00:00 — Intro 00:04:29 — The AI Slowdown Gets (Very) Political 00:25:18 — AI Labs Could Keep the Best Models to Themselves 00:54:33 — The AI Transformation Blueprint 01:09:45 — OpenAI Discloses More Rogue Agent Incidents 01:14:03 — Claude Merges Chat and Cowork 01:17:53 — Meta Rolls Out Muse 01:20:36 — Apple Ships Siri AI 01:23:20 — OpenAI and Microsoft Face Copyright Revelations 01:27:18 — AI Use Case Spotlight 01:32:59 — AI Product and Funding Updates This episode is supported by Outshift, Cisco's incubation engine for frontier technology. Outshift by Cisco is an open source foundation for building multi-agent systems from design to production with shared context, shared memory, and guardrails to drive the results we actually expect from AI. Read the paper, experience the demo, grab the code from Outshift.com. Visit our website Receive our weekly newsletter Join our community: Slack Community LinkedIn Twitter Instagram Facebook YouTube Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy
    Show More Show Less
    1 hr and 37 mins
  • #240: How David’s Bridal Is Rebuilding a 76-Year-Old Business Around AI
    Sep 17 2026

    David's Bridal was built around one thing for 75 years: the dress. In this AI Transformations episode, Elina Vilk (President & Chief Business Officer) and Mike Ball (Head of Product) join Mike Kaput to explain how the company is reinventing itself around the whole wedding journey, the "aisle to algorithm" strategy.

    We get into Pearl Planner, the free AI wedding-planning companion now used by hundreds of thousands of couples with no marketing spend; Pearl Connect, the new vendor-side platform built on Google Cloud; the vision quiz and dynamic budgeting that make it work; and how David's own teams are adopting AI internally. Presented by Gemini Enterprise.

    Part of the AI Transformations series, presented by Google Cloud.

    Show Notes: Access the show notes and show links here

    Timestamps:

    00:00:00 — Intro

    00:05:01 — How the AI transformation at David's Bridal began

    00:06:36 — The early phases and turning points

    00:10:53 — Inside Pearl Planner, the customer-facing assistant

    00:13:59 — Using AI for timelines, budget, and vendors

    00:19:24 — The models, tools, and platforms behind it

    00:21:00 — Pearl Connect and the Google Cloud stack

    00:25:46 — Early results from Pearl Planner and Pearl Connect

    00:27:32 — How internal teams at David's Bridal use AI

    00:33:29 — What's next for David's Bridal

    This episode is presented 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 Community

    LinkedIn

    Twitter

    Instagram

    Facebook

    YouTube

    Looking for content and resources?

    Register for a free webinar

    Come to our next Marketing AI Conference

    Enroll in our AI Academy

    Show More Show Less
    36 mins