AI Marketing
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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Episode 25: AI Marketing with Carl Holden (CMO, Zellus Marketing; CEO, RankBot) If you’ve been doomscrolling “SEO is over” takes, take a breath. Carl Holden and I demolish the myths and lay out how search actually works in the AI era—what’s changing, what’s hype, and how to allocate your budget without lighting it on fire. What we cover AI ≠ the end of search. Today’s LLM answers are largely wrappers on top of search, pulling from Bing/Google and summarizing the first page or two. Translation: rankings still matter. Sponsored AI answers are coming. Expect the ad line...
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Episode Overview: In this episode of AI Marketing, Mark Fidelman is joined by Jon Levesque, former Microsoft and DocuSign community leader turned founder of Seeq. Together, they dissect how discovery, influence, and technology are shifting under the weight of the creator economy and AI’s explosive growth. They explore: Why the directory era is dead and why centralized discovery models like Yelp and Google Local are becoming obsolete. How the creator economy is shaping consumer decisions—from travel inspiration on TikTok to Substack newsletters—and why authenticity is the new...
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Imagine a company that runs 24/7, makes decisions in real time, and scales without hiring a single new employee… That’s not tomorrow. That’s now. In this solo episode, Mark Fidelman introduces “Agentized” a bold new book I co-authored with Jas Dhillon. This is not another book about ChatGPT or AI tools. It’s about the transformation of work itself and how companies that fail to integrate autonomous AI agents risk becoming obsolete. Inside this episode: Why AI is no longer optional, it’s existential A behind-the-scenes look at the real CEO story that inspired Chapter 1 ...
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Mark Fidelman and Lee Hackett discuss the transformative potential of AI in marketing, emphasizing that CMOs must personally engage with AI tools to stay competitive and drive business value. They explore how AI will reshape marketing roles, potentially reducing team sizes while increasing productivity through advanced technologies like AI agents and large language models. The conversation highlights the critical need for CMOs to experiment, understand AI capabilities, and proactively integrate these technologies into their strategic planning to remain relevant in the rapidly evolving digital...
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Host: Mark Fidelman Guest: Richard Savoy, Co-founder and CEO of Adiona (enterprise logistics optimization company) Main Discussion Points: B2B Marketing Transformation Deals have become more complex (increased from 11 to 17 touchpoints) Slower technology adoption in logistics and supply chain sectors Buyers are more cautious and selective about technology solutions AI's Role in Marketing Top of Funnel: * Hyper-targeted lead generation * Automated lead qualification * Identifying potential leads through organizational changes AI Marketing Strategies Website...
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🔑 Episode Highlights: 🤖 The Premise of the Book: Bambenek's new book, Lies, Damn Lies, and AI, explores how AI’s promise is often overstated — especially when it’s portrayed as a magical black box that can solve any problem. Title is inspired by the classic quote about misleading statistics — now updated for the AI era. 💊 AI in Healthcare – A False Narrative? AI is valuable only when paired with human professionals, not when left on its own. Example: AI can help doctors detect anomalies on X-rays, but only a human can make complex medical judgments. The lie: That...
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Podcast Episode Notes AI Marketing with Mark Fidelman Episode Title: Revolutionizing Sales with AI: Featuring Gaurav Bhattacharya, CEO of Jeeva.ai Episode Overview: In this engaging conversation, Mark Fidelman sits down with Gaurav Bhattacharya, CEO of Jeeva.ai, to explore how artificial intelligence is transforming sales. They discuss practical ways marketers and salespeople can leverage AI, the potential future of AI in sales, and why the human touch will remain indispensable. Key Discussion Points: Introduction to Jeeva.ai Agentic AI platform supporting over 10,000 sales reps and 300...
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I Marketing Podcast – Episode Show Notes Hosted by: Mark Fidelman Episode Summary In this episode, Mark Fidelman explores Google's revolutionary AI video tool, Veo 3. Discover how Veo 3 turns simple text prompts into high-definition videos complete with realistic audio, dialogue, and sound effects—ushering in a new era of accessible, impactful video marketing. Key Highlights: What is Veo 3? Generative AI transforming text into realistic HD videos with audio. Comparable to "Pixar meets TikTok." Why Veo 3 Matters: Rapid video production: Create ads and social videos in minutes,...
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Christian Perry, CEO of Undetectable.ai, discussed the importance of humanizing AI content to avoid detection by AI detectors. He highlighted the rise of AI detectors post-ChatGPT and their impact on content distribution platforms like Facebook and YouTube. Christian recommended for AI-powered website creation. Undetectable.ai helps remove AI markers from content to prevent it from being flagged as AI-generated. Christian also mentioned their new authorship replication tool to match human writing styles. The conversation emphasized the need for AI tools to evolve from humanizing to...
info_outlineWhat You’ll Learn in This Episode
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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