AI Marketing
Host: Mark Fidelman Guest: Julian Goldie Main Topics Covered: The rapid evolution of SEO in the age of AI How AI tools like ChatGPT, Perplexity, and Grok are changing online search behaviors Similarities and key differences between traditional SEO and optimization for AI search engines Importance of being omnipresent across platforms (YouTube, LinkedIn, Reddit, blogs, etc.) for better AI engine ranking Essential tactics: in-depth keyword research (using tools like Ahrefs), competitor analysis, content strategy, and authoritative backlinks Special techniques such as creating industry listicles...
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In this episode, host Mark Fidelman is joined by Jon Mest from ChatRank to discuss how brands can prepare for the fast-approaching era of AI-driven discovery and agentic systems. The conversation covers: The evolution of brand discoverability, with a look ahead to how AI language models and agents will change how consumers find and interact with businesses. The concept, benefits, and future of AI-only websites, and how they differ from traditional, human-oriented sites. Why structured, well-tagged product information and content is critical for visibility within AI systems. The growing...
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Show Notes: Know What to Think Episode length: ~41 minutes Chapters (Skip Ahead) 00:00 — Know · What · Where · Artificial. It’s really entertaining, and we’re doing a lot of fun, good stuff. Then, maybe… maybe longer, but let’s just see how it goes. Most are between 10 and 20 minutes. Alright, go ahead and start. Yep, I’m gonna hit the… 05:00 — There · Robot · Know · What. Right, okay. Alright, so why… why isn’t nuclear an option to bring the kind of power we need? Yeah, I mean, I think the short answer is it’s available, it’s accessible, but I don’t think...
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Guest: Mariano Garcia-Valiño — engineer and healthcare founder (3 exits; now building his fourth) Episode Summary Healthcare is burning cash and patience. Mariano lays out a blunt playbook: aggregate real-world signals (labs, pharmacy fills, wearables—even spending patterns that hint at adherence), run AI to flag risk early, and route people to care before conditions explode in cost. No sci-fi. No diagnosis claims. Just practical prediction, consent-driven data, and measurable outcomes. Key Takeaways Cost crisis ≠ destiny: US costs outpace inflation; prevention and earlier...
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Humanoid robots just jumped from sci-fi to go-to-market. We unpack Neo from 1X—what it is, what it can (and can’t) do today, and how humanoids will reshape marketing, service design, content, and consumer behavior. We also hit privacy, regulation, price, and competition (Tesla Optimus, Boston Dynamics). If you sell to consumers or operate storefronts/hospitality, this is your early warning—and first-mover playbook. Humanoid Robots in Marketing Neo Humanoid Robot Overview Key takeaways (for marketers & founders) New channel: the robot at home. Neo is effectively a walking,...
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🔥 Episode Summary: Hundreds of public figures — from Steve Wozniak to Prince Harry — just signed a petition demanding a global ban on AI superintelligence. Their fear? That super-AI could outthink us, escape our control, and maybe even spell the end of humanity. I get it. The Skynet comparisons. The doomsday bunkers. The "pause everything until it’s safe" approach. On the surface, it sounds reasonable. But here’s the hard truth: If we don’t build it, someone else will — and you better pray they believe in freedom. 🧭 Timestamps: 00:00 - Intro: “Prince Harry wants to ban...
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Episode Summary: Join Mark Fidelman as he explores Sora 2, the innovative AI video tool poised to transform marketing and content creation. Hear real-world experiences, uncover its strengths and weaknesses, and learn practical tips for safe, creative use. Key Points: What is Sora 2? Sora 2 is an invite-only, AI-powered video tool that allows users to create hyper-realistic video “cameos” and collaborate in a social network-like environment. Strengths: • Rapid prototyping for video and creative concepts • Minimal resources needed for cinematic or cartoon-like videos • Control over...
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📌 Episode Overview In this episode of AI Marketing, Mark Fidelman sits down with Monica Márquez—executive strategist, workforce futurist, and co-founder of Flipwork—to explore a pressing question: Can humans adapt fast enough to survive the AI revolution? They break down why traditional training models are failing, what AI means for the future of jobs, and how individuals and companies can avoid getting left behind. 💡 What You’ll Learn in This Episode Why corporate training isn’t dead—but the old playbooks are obsolete. How AI is reshaping job roles faster than people can...
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Guest: Christian Monberg, CTO & Head of Product at Zeta Global Host: Mark Fidelman 🔑 Episode Summary In this episode, Mark Fidelman sits down with Christian Monberg, CTO at Zeta Global, to unpack the rise of Agentic AI and what it means for the future of marketing. From redefining the marketing funnel to exploring “agents talking to agents,” the conversation covers both the opportunities and risks as AI reshapes how marketers operate. Christian explains the difference between AI agents and Agentic AI systems, why deterministic data foundations matter, and how enterprises can prepare...
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Guest: Nick Cawthon Host: Mark Fidelman Episode Summary As kids head back to school and businesses push forward with digital transformation, one theme keeps surfacing: is using AI “cheating”? In this episode, Mark and Nick dive into how teachers, students, and professionals can move past the stigma of AI and instead embrace it as a partner in creativity and productivity. From calculators once banned in classrooms to AI now frowned upon by professors, history is repeating itself. But will the future workplace punish—or reward—those who leverage generative tools? Nick brings deep...
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DeepSeek’s AI breakthrough didn’t just happen—it was engineered for maximum impact. This episode dives into the real reasons DeepSeek went viral, why their approach is a direct threat to OpenAI and Anthropic, and how AI compute demand is about to explode by 1000X.
If you think Big Tech is in control of AI’s future, think again. The battle for Artificial General Intelligence (AGI) and AI compute power is just beginning, and you need to know who’s really in charge.
🔹 Topics Covered:
✅ How DeepSeek became an AI sensation by open-sourcing their models (DeepSeek on Hugging Face)
✅ Why DeepSeek’s $5.6 million training cost was a marketing masterstroke
✅ How Jevons’ Paradox proves AI compute demand is about to skyrocket
✅ Why you can’t trust Google, Amazon, or Microsoft to power the future of AI
✅ The real future of AGI & AI Agents – and how much compute we’ll need to make them work
✅ The rise of Exabits as an independent AI compute provider (Exabits)
🧩 Segment Breakdown & Links
1️⃣ The DeepSeek Disruption – What Happened?
🔹 DeepSeek is a Chinese AI company that trained a ChatGPT-4 level model for just $5.6 million—while OpenAI and Anthropic spend hundreds of millions.
🔹 Their strategy? Go open-source, build a community, and make AI cheaper.
🔹 The result? Mass panic in Big Tech & a 17% drop in Nvidia’s stock price.
🔗 DeepSeek on Hugging Face
🔗 DeepSeek R1 Model on GitHub
2️⃣ How DeepSeek Engineered Their Own Virality
🔹 They didn’t just launch a model—they launched a movement.
🔹 Their secret sauce? A "David vs. Goliath" narrative against OpenAI & Anthropic.
🔹 Twitter (X) exploded with comparisons to Sputnik, fueling the story.
🔹 The now-infamous tweet from Wall Street Engine (@wallstengine) compared DeepSeek’s launch to the AI “moonshot” moment.
🔗 Original viral tweet
3️⃣ The $5.6M AI That Exposed OpenAI’s Bloated Costs
🔹 Compare the costs:
- DeepSeek R1 Model – $5.6M
- Anthropic Claude – $50M+
- OpenAI GPT-4 – Estimated $100M to $1B
🔹 This fueled investor panic, leading to market sell-offs for Nvidia and Big Tech.
🔗 OpenAI GPT-4 Overview
🔗 Anthropic’s Claude
4️⃣ Jevons' Paradox: Why AI Compute Demand is About to Skyrocket
🔹 The Cloud Storage Parallel: When storage got cheap, demand exploded 1000X.
🔹 The same thing is happening with AI compute: More efficiency → More AI adoption → More GPU demand.
🔹 AI compute demand is now doubling every 6 months.
🔗 Nvidia H100 GPU Specs
🔗 Morgan Stanley Report on AI Compute Demand
5️⃣ Why You Can’t Trust Google, Amazon, or Microsoft with AI Compute
🔹 Amazon Web Services (AWS) deplatformed Parler overnight—so what happens if they don’t like your AI startup?
🔹 Google already has a history of politically-motivated censorship.
🔹 Microsoft Azure is deeply embedded in OpenAI’s operations and prioritizes corporate/government interests over startups.
🔹 The only solution? Independent AI infrastructure like Exabits.
🔗 AWS Censorship Controversy
🔗 Google Free Speech Controversy
🔗 Microsoft OpenAI Partnership
6️⃣ The Future: AGI, AI Agents, and the Race for Compute Power
🔹 AGI (Artificial General Intelligence) is the AI that can think, reason, and learn like a human.
🔹 AI Agents will run businesses, negotiate deals, and replace entire industries.
🔹 To train AGI, we’ll need 1000X more compute than today—the equivalent of a small country’s energy output.
🔹 Exabits & Other Independent Compute Providers will be the only alternative to Big Tech monopolies.
🔗 Exabits AI Compute Solutions
🔗 DeepMind’s AGI Research
💡 Key Takeaways
✅ DeepSeek didn’t just go viral—it was engineered to disrupt AI’s biggest players.
✅ The $5.6M training cost exposed OpenAI & Anthropic’s bloated spending.
✅ AI compute demand is about to skyrocket—Jevons' Paradox proves it.
✅ Google, Amazon, and Microsoft can’t be trusted with AI’s future.
✅ Independent compute providers like Exabits are the real future of AI.
📢 Get Involved:
🔹 Follow Mark Fidelman on Twitter (X): @MarkFidelman
🔹 Join the AI Marketing Podcast Community – Sign Up Here
🔹 Learn More About AI Compute Alternatives: Exabits
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