The Artificial Intelligence Show

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

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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 here
Timestamps:
00:00:00 — Intro
00:05:19 — OpenAI DevDay and Dots
00:20:04 — OpenAI’s Safety Crisis Deepens
00:28:51 — Trump Signs Super Intelligence Accord
00:54:19 — Anthropic Targets Pre-Thanksgiving IPO
00:59:02 — Google Previews Gemini 4
01:02:29 — AI Companies Face New Liability Pressure
01:07:07 — Anthropic and Pope Leo’s AI Encyclical
01:17:39 — Startup Claims First “Human Interaction” Model
01:22:47 — AI Use Case Spotlight
01:28:22 — 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.
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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:

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LinkedIn

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Looking for content and resources?

Register for a free webinar

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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

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.

Multi-agent AI is in every enterprise roadmap right now, but here's the problem we're all facing: agents can pass messages, but they can't think together. These systems silently underperform through cognitive failures —misreadings, unverified claims, and false consensus—that conventional monitoring can't detect.

Outshift by Cisco is building the fix, the Internet of Cognition. 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. That's Outshift.com

Visit our website

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Join our community:

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