
#236: AI Answers - No Time for AI, AI Budgets, Vendor Terms & Data Risk, AI Disclosure & Vanishing Entry Level Roles
The Artificial Intelligence ShowShow Notes
If you stop hiring entry-level staff and quietly decimate the leadership pipeline, where do future managers come from once AI does the junior work? That's one of 15 listener questions Paul Roetzer and Cathy McPhillips take on in this AI Answers edition, drawn from recent Intro to AI and Scaling AI classes and an Academy Live session with SmarterX's COO and legal counsel.
The conversation runs from the practical (how to carve out time for AI, generic vs. custom agents, human-in-the-loop checkpoints) to the strategic (funding AI, token budgets, intelligence redundancy, and whether we're building businesses on "rented land").
Show Notes: Access the show notes and show links here
00:00:00 — Intro
00:07:15 — What are the best ways to use AI in marketing?
00:10:54 — How do you carve out time for AI when the team is already slammed?
00:14:46 — Should a small company hire outside consultants to build agents?
00:19:19 — Who should own AI transformation in the enterprise?
00:23:49 — Are there generic agents everyone can use, or do you build your own?
00:25:58 — Can you build human approval checkpoints into an agent?
00:28:01 — How do you enable agents on sensitive data without adding risk?
00:30:31 — How should a company fund its AI investments?
00:34:11 — How do you budget and forecast total AI spend, including tokens?
00:37:03 — What does a right-sized AI vendor approval process look like?
00:40:33 — What happens to your data if an AI vendor is acquired or goes under?
00:42:48 — When should you disclose that AI was used to create the work?
00:46:03 — If AI does the entry-level work, where do future managers come from?
00:47:57 — Is an LLM really a black box, and is that ominous?
00:50:38 — Are we building businesses on rented land with LLMs?
This episode is brought to you by Marketing AI Month. All month, the AI for Marketing Course series inside AI Academy is free (a $499 value): five expert-led sessions from Mike Kaput, the frameworks and tools the SmarterX team actually uses, and a professional certificate on completion. Enroll by September 30 (you don't have to finish by then - just enroll). The month closes with a live AMA on October 1, where Cathy puts your questions to Paul and Mike; anyone enrolled can attend. Enroll at SmarterX.ai/marketing.
Visit our website
Receive our weekly newsletter
Join our community:
Slack Community
YouTube
Looking for content and resources?
Register for a free webinar
Come to our next Marketing AI Conference
Enroll in our AI Academy
More from The Artificial Intelligence Show
A safety lead who authored OpenAI's model reports left and told Ezra Klein the industry can't reliably safeguard the systems it's already shipping. Paul Roetzer and Mike Kaput unpack that interview, OpenAI's fired safety researchers, and reporting that labs expect a catastrophic AI incident within a year. Then: Anthropic's new data on its own AI-run workforce, a MAICON 2026 recap, fresh interpretability research, OpenAI's contested math-proof release, Google's Gemini Argon, and micro1's $1B plan to buy how businesses actually work. 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 00:05:48 — AI-Pulse Survey 00:07:11 — OpenAI's Mounting Safety Concerns 00:25:09 — The AI Expectations Gap 00:47:24 — MAICON 2026 Recap 01:02:51 — Introducing The AI Transformation Blueprint and AI Score 01:08:48 — An Interpretability Breakthrough? 01:13:17 — OpenAI's Math Reckoning 01:18:31 — The Super Intelligence Rebrand 01:22:21 — Google Releases Gemini Argon (and “Gemini agent”) 01:26:57 — micro1 Is Buying Enterprise Data, Here's Why 01:31:53 — AI Use Case Spotlight 01:38:08 — AI Product and Funding Updates
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
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. 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
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.