The Artificial Intelligence Show Podcast

If AI takes over the entry-level work people used to learn from, where do the next managers come from? Paul Roetzer and Cathy McPhillips open the door on that one, and 14 more, in this AI Answers edition, built from questions asked in recent SmarterX classes. Across 15 questions, they cover funding AI investments, forecasting token spend, right-sizing vendor approvals, disclosing AI use, building agents on sensitive data without adding risk, and why running your whole company on a single AI provider is a bet you may not want to make. Cathy closes with her own question on building on rented land, and Paul explains why an LLM is still a black box. 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? Access the show notes and show links here: https://podcast.smarterx.ai/shownotes/236?utm_source=youtube&utm_medium=social&utm_campaign=podcast_shownotes Want to receive our videos faster? SUBSCRIBE to our channel! Marketing AI Month (free AI for Marketing Course Series through Sept 30): SmarterX.ai/marketing Upcoming classes: Scaling AI (Sept 11), Intro to AI (Sept 30) — links in show notes MAICON, Cleveland, Oct 13–15 - use code POD100: MAICON.ai Subscribe for more episodes: https://www.youtube.com/@aishowpod Get our weekly newsletter: https://www.marketingaiinstitute.com/newsletter Enroll in AI Academy: https://academy.smarterx.ai/ Join us at MAICON: https://www.MAICON.ai Register for a free webinar: https://smarterx.ai/webinars Connect with us Slack community: https://smarterx.ai/community LinkedIn: https://www.linkedin.com/company/smarterxai X/Twitter: https://x.com/aishowpod Instagram: https://www.instagram.com/smarterxai TikTok: https://www.tiktok.com/@aishowpod Facebook: https://www.facebook.com/marketingAIinstitute

OpenAI\'s Hugging Face breach is looking less like an accident and more like a preview: new reports describe agents that coordinated, hid their tracks, and pushed toward their goal no matter what. Paul Roetzer and Mike Kaput get into what that says about the next wave of autonomous models. Also covered: Bill Gates\'s reversal on AI and jobs, Nvidia\'s revenue and its $12.9B Hugging Face deal, Anthropic\'s court win, McKinsey\'s 2026 State of AI, and Niall Ferguson\'s case against an AI utopia. Access the show notes and show links here: https://podcast.smarterx.ai/shownotes/235?utm_source=youtube&utm_medium=social&utm_campaign=podcast_shownotes Fill out this week’s AI-Pulse Survey here: http://www.smarterx.ai/pulse Timestamps: 00:00:00 — Intro 00:04:53 — The Wild Truth About OpenAI’s Hugging Face Hack Comes Out 00:31:08 — Bill Gates Changes His Mind on AI and Jobs 00:39:22 — Nvidia Doubles Revenue and Agrees to Buy Hugging Face 00:50:32 — Anthropic Sees a $30 Trillion Revenue Opportunity 00:54:24 — Judge Blocks Government’s Anthropic Blacklisting 00:56:31 — Controversy Over Legendary Investor’s AI-Written Op-Ed 01:03:11 — McKinsey Maps the State of AI in 2026 01:06:26 — Niall Ferguson Sees a Sci-Fi AI Future 01:12:12 — Americans Back Government Action on AI Disruption 01:18:41 — AI Use Case Spotlight 01:26:59 — AI Product and Funding Updates Want to receive our videos faster? SUBSCRIBE to our channel! This week’s episode is 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. Subscribe for more episodes: https://www.youtube.com/@aishowpod Get our weekly newsletter: https://www.marketingaiinstitute.com/newsletter Enroll in AI Academy: https://academy.smarterx.ai/ Join us at MAICON: https://www.MAICON.ai Register for a free webinar: https://smarterx.ai/webinars Connect with us Slack community: https://smarterx.ai/community LinkedIn: https://www.linkedin.com/company/smarterxai X/Twitter: https://x.com/aishowpod Instagram: https://www.instagram.com/smarterxai TikTok: https://www.tiktok.com/@aishowpod Facebook: https://www.facebook.com/marketingAIinstitute

Pennsylvania\'s governor signed an executive order requiring data center developers to pay full electricity costs, meet environmental and transparency standards, and win community approval before permits and removed data centers from fast-track permitting entirely. It\'s part of a wave: roughly 75 US projects worth $130 billion blocked or delayed in the first three months of 2026, and Gallup polling showing 70% of Americans oppose one near them. Subscribe for more episodes: https://www.youtube.com/@aishowpod Get our weekly newsletter: https://www.marketingaiinstitute.com/newsletter Enroll in AI Academy: https://academy.smarterx.ai/ Join us at MAICON: https://www.MAICON.ai Register for a free webinar: https://smarterx.ai/webinars Connect with us Slack community: https://smarterx.ai/community LinkedIn: https://www.linkedin.com/company/smarterxai X/Twitter: https://x.com/aishowpod Instagram: https://www.instagram.com/smarterxai TikTok: https://www.tiktok.com/@aishowpod Facebook: https://www.facebook.com/marketingAIinstitute

Anthropic\'s revenue run rate passed $65 billion in July, up from $47 billion in May, with an IPO that could match or beat SpaceX\'s record listing. That milestone brought a public argument to X: Gavin Baker relayed a rumor about Anthropic\'s ambitions, Sholto Douglas called it false, and Dario Amodei showed up personally to push back on the claim that his messaging is driving public negativity on AI. Subscribe for more episodes: https://www.youtube.com/@aishowpod Get our weekly newsletter: https://www.marketingaiinstitute.com/newsletter Enroll in AI Academy: https://academy.smarterx.ai/ Join us at MAICON: https://www.MAICON.ai Register for a free webinar: https://smarterx.ai/webinars Connect with us Slack community: https://smarterx.ai/community LinkedIn: https://www.linkedin.com/company/smarterxai X/Twitter: https://x.com/aishowpod Instagram: https://www.instagram.com/smarterxai TikTok: https://www.tiktok.com/@aishowpod Facebook: https://www.facebook.com/marketingAIinstitute

HubSpot spent three years rebuilding how it attracts, engages, and delights customers around AI agents. Jon Dick, chief customer officer at HubSpot, walks through what that actually looked like — starting with AI fluency rather than tools, then support, then a full audit of the customer journey for constraints AI could break. Along the way: the AEO strategy built for a world where buyers search answer engines, the AI SDR handling more than 80% of website chats, a prospecting agent that booked 10,000 meetings last quarter, a seven-point lift in customer save rates, and the org change three months ago that moved every engineer and data person working on agentic go-to-market under one leader. Access the show notes and show links here: https://podcast.smarterx.ai/shownotes/234?utm_source=youtube&utm_medium=social&utm_campaign=podcast_shownotes Timestamps: 00:00:00 — Intro 00:03:36 — Meet Jon Dick 00:05:13 — What HubSpot was trying to solve 00:08:27 — How the transformation got started and where it stands today 00:11:48 — Beyond individual use cases: demand creation and AEO 00:15:49 — What\'s HubSpot native, and how they pick models 00:18:36 — What had to change organizationally 00:22:10 — Why centralizing beat the pod model 00:24:39 — What got messier along the way 00:25:46 — Results across the board 00:28:35 — Why HubSpot\'s go-to-market context is the advantage 00:30:19 — Advice for leaders earlier in the journey Want to receive our videos faster? SUBSCRIBE to our channel! 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/ Subscribe for more episodes: https://www.youtube.com/@aishowpod Get our weekly newsletter: https://www.marketingaiinstitute.com/newsletter Enroll in AI Academy: https://academy.smarterx.ai/ Join us at MAICON: https://www.MAICON.ai Register for a free webinar: https://smarterx.ai/webinars Connect with us Slack community: https://smarterx.ai/community LinkedIn: https://www.linkedin.com/company/smarterxai X/Twitter: https://x.com/aishowpod Instagram: https://www.instagram.com/smarterxai TikTok: https://www.tiktok.com/@aishowpod Facebook: https://www.facebook.com/marketingAIinstitute