AI Marketing

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, not weeks. Realistic characters and dialogue: No need for expensive actors or production teams. Practical Marketing Uses: Creative Ideation: Quickly prototype ad concepts and iterate overnight. Hyper-Personalization: Generate personalized videos for higher engagement and conversions. Agile Real-time Content: Capitalize instantly on social media trends. Content Repurposing: Transform blogs, podcasts, or articles into engaging video snippets. Brand Storytelling: Craft compelling narratives to emotionally connect with audiences. Real-Life Case Studies: Klarna: Rapidly producing YouTube bumper ads and product demos, significantly cutting costs and boosting viewer engagement. Kraft Heinz: Reduced video production cycles from eight weeks to just eight hours, enabling greater creative experimentation. Japan Airlines: Partnered with Jellyfish to create AI-generated in-flight entertainment, achieving 50% lower production costs. Envato: Launched an AI-powered video creation tool, quickly generating tens of thousands of user-created videos. Viral Content & Influencer Marketing: The Dor Brothers: Generated a viral Instagram Reel parodying influencer culture entirely with Veo 3, highlighting its potential for real-time cultural commentary. Influencer & UGC-Style Content: Brands can effortlessly emulate authentic influencer videos and user-generated content to boost relatability and engagement. Limitations and Considerations: Clip Duration: Limited to 8 seconds per clip; longer content requires editing. Audio Generation: Occasional inconsistencies in lip-syncing and audio dropouts. Scene Complexity: Best suited to simpler scenes; complex multi-character interactions may be challenging. User Interface: Workflow can be unintuitive, requiring frequent saves. Ethical Concerns: The realism of generated videos necessitates transparency to avoid misleading audiences. Best Practices: Clearly communicate your brand values in prompts. Continuously A/B test and optimize video content. Prioritize transparency and ethical considerations in AI content creation. Episode Takeaway: Google’s Veo 3 represents a monumental shift in video marketing, making high-quality, scalable video content accessible to all marketers. Understand its limitations, leverage its strengths, and ensure your marketing stays ahead of the curve. Subscribe, Rate & Share: Enjoyed this episode? Don't forget to subscribe, rate, and share the AI Marketing Podcast! Stay smart, stay savvy, and stay ahead with AI! Contact Mark at mark@smartblocks.agency 

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 Lovable.ai 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 detecting non-human content, addressing issues like deep fakes and content authenticity. 🔑 Key Topics: The Rise of AI Content Filters: Why platforms like YouTube, Google, and Instagram are cracking down on AI-generated content — and how it affects marketers. Humanizing AI = The Competitive Edge: Christian explains why content that "feels" human gets better reach and engagement — and how Undetectable.AI helps you get there. Introducing Authorship Replication: A new tool that mimics your personal writing voice — especially useful for professionals trying to maintain authenticity. Why AI Tools Are Misunderstood in Academia and Workplaces: Christian and Mark debunk the stigma around using AI in writing, marketing, and education. Lovable.dev – Build Sites with Prompts: No-code AI site builder Christian recommends for entrepreneurs and small teams. The Future of AI Agents & Undetectable’s Roadmap: From text detection to deepfake defense — Undetectable.AI is evolving into a digital trust guardian. Deepfake Detection with TrueScan: Their next frontier — helping users and platforms detect scams using AI-generated video and likenesses. Timestamps: 00:00 - Podcast Introduction 00:40 - Christian Perry's Background 02:34 - Why Undetectable.ai Was Created 07:22 - Overcoming AI Content Stigma 10:00 - AI Agents and Marketing Automation 12:47 - Future of Deep Fake Detection   💡 Notable Quotes: “Anyone banning AI tools today is doing their company or classroom a disservice. This isn't the future — it's the now.” – Christian Perry “Undetectable.AI helps you write faster, better — and actually get your content seen by real people.” – Mark Fidelman “If your content smells like a bot, social media buries it. We fix that.” – Christian Perry 🔧 Tools Mentioned: Undetectable.AI – Humanizes AI-generated content Lovable.dev – AI-driven no-code app/site builder TrueScan – Deepfake and synthetic content detector (in development)   Recommended Resources: Chrome Extension: Undetectable.ai Humanizer True Scan: Deep Fake Detection Platform 📌 Connect with Christian: LinkedIn: Christian Perry – Undetectable.AI Website: https://www.undetectable.ai

Episode Date: May 7, 2025 Host: Mark Fidelman Length: ~10 minutes 🔥 Episode Summary: This week, Mark dives into the biggest and boldest updates in AI marketing – from OpenAI’s attempt to unseat Google Shopping, to a hilarious campaign where real grandmas outshine machine learning. Tune in to hear how: ChatGPT just became your personal shopping assistant (and possibly Google’s worst nightmare) Meltwater’s new AI teammate Mira is changing how marketers do their jobs Google’s AI answers are stealing your SEO clicks A Mexican food brand launched “Abuela Intelligence” to roast AI hype with old-school wisdom Buckle up – this is AI news with a sharp edge, told in classic Mark Fidelman style: funny, fast, and fearlessly bold. 🧠 Key Topics Covered: 🛍️ ChatGPT Goes Shopping OpenAI rolls out product search + recommendations No ads, no affiliate links — just pure AI shopping curation What this means for brand marketers and SEO “It’s SEO meets QVC, but with AI running the show.” 🤖 Meet Mira: Your AI Marketing Sidekick Meltwater’s AI-powered agent now automates research, monitoring, and analysis Turns billions of data points into real-time brand intelligence “Think of Mira as Jarvis, but for CMOs.” 📉 Google’s AI Kills the Click New data shows AI snippets reduce clicks to top results by 34.5% Pichai says it boosts engagement — but the numbers say otherwise Marketers need new ways to win in a zero-click world 😂 Abuela Intelligence Outsmarts AI Del Real Foods launches “Abuela Intelligence” instead of artificial intelligence Grandma-powered advice centers, sassy campaigns, and cultural genius “Hasta la vista, Chatbot — Grandma’s got this.” 🔗 Mentions & Resources: OpenAI’s Shopping Features: TechCrunch Meltwater’s Mira Launch: Adweek Ahrefs SEO Study: Search Engine Journal Del Real’s Abuela Intelligence Campaign: Marketing Brew 🔁 Episode CTA: Liked this episode? Smash that subscribe button Share it with a fellow marketer who needs some AI swagger And remember — you don’t need a supercomputer to be brilliant, sometimes a grandma’s advice will do just fine 😉

Featuring: Matt from Light Writer & Envoy Design Episode Overview: In this high-energy episode, Mark and Matt ditch the typical buzzword bingo and get into the real meat of AI and quantum computing. After a fun kickoff swapping Spring Break stories (Ferraris, Vegas, the San Diego Zoo, yes, it got wild), the two dive into quantum computing's practical, real-world impact on AI, synthetic data, and the massive wave of innovation that's about to crush traditional tech models. Highlights: Spring Break Shenanigans: Ferraris, Lamborghinis, and family adventures in San Diego and Vegas. Matt's 26-Year Tech Journey: From Apple II and Basic programming to Shopify builds and now Quantum AI. Quantum Computing Reality Check: Why quantum computers aren't just "faster laptops" — and why that's a good thing. Quantum + AI = Synthetic Data Revolution: How quantum computers will create human genome data and radically supercharge AI learning models. Healthcare and Scientific Breakthroughs: Why pharma, biotech, and aging research will never be the same once quantum computing hits full stride. Light Writer & Envoy Design’s Next Big Leap: Six new quantum-based products launching in the next 3–4 weeks. Stay tuned. Next Moves: Matt to launch 6 new quantum computing products in ~4 weeks. Mark to drop this podcast episode like it’s hot within the week. Matt to spread the word and keep Mark posted on any major AI or quantum breakthroughs. Key Takeaways: Quantum computers can generate truly random numbers and synthetic data — a game-changer for machine learning models. Combining quantum computing with GPUs could lead to major leaps in healthcare, aging, and complex problem-solving. AI is not just evolving — with quantum’s help, it’s about to revolutionize every major industry. It’s early, but if you’re not paying attention to quantum and synthetic data, you're already behind. Guest Spotlight: Matt Hampton, representing Light Writer and Envoy Design a cutting-edge team at the crossroads of quantum computing and AI innovation.

AI Marketing Podcast Schedule (Nikolay Filichkin) with Mark E Fidelman Quick recap Mark and Nick discussed the topic of Gpu alternative investments, with Nick explaining the process of funding deals and the financial aspects of investing in GPUs. They also discussed the progress of their website, the regulatory aspects of their business, and the potential of considering Dubai for their business due to its growth in tokenization and AI. The conversation concluded with an agreement to reconnect in about 90 days to assess the progress of their business. Summary Gpu Alternative Investments in AI Industry Mark and Nick discussed the topic of Gpu alternative investments. Nick, co-founder and chief business officer at Compute Labs, explained that their business helps data center operators scale their business and allows investors to invest in Gpus or compute products as a new emerging asset class. He emphasized the importance of this investment due to the massive growth of the AI industry, and the lack of direct access to the growth of the compute space. Nick also mentioned that they provide market education and use a platform to present specific Gpu offers. GPU Funding Process Explained Nick discussed the process of funding deals, including the capital expenses, operational expenses, and projected revenue. He explained that investors receive a share in an SPV that holds rights to the GPUs, which is represented by an NFT. Mark questioned the type of GPU and the payout process, to which Nick clarified that the investor receives the specific GPU they're interested in and the payout is in USDC. Nick also addressed the GPU provider's benefits, stating they receive capital to scale their business and manage net revenue. Mark inquired about purchasing multiple GPUs, to which Nick confirmed that each GPU would be represented by an NFT. GPU Investment Financials and Returns Nick and Mark discussed the financial aspects of investing in GPUs. Nick clarified that they target a minimum 20% internal rate of return (IRR) for their projections, and they manage the assets, including hardware issues, upgrades, and liquidation. Mark inquired about the average return on investment and the role of the investor in the process, to which Nick explained that the investor collects a monthly dividend, but the cash flow and dividend depend on utilization and contracted revenue. They also discussed the minimum investment amount, with Nick stating that there is no minimum at this time, but it may vary for certain deals. Follow or Contact me on X www.x.com/markfidelman 

Eugene Vyborov, a serial entrepreneur and founder of Ability AI, specializes in AI-driven marketing automation. He discusses the leap from traditional, rule-based automation to agentic AI, which can make independent decisions and execute marketing campaigns. Eugene highlights the efficiency gains possible with AI, particularly in media buying on platforms like Facebook. He encourages marketers to embrace AI for competitive intelligence and stresses the necessity of adapting to these innovations, as they can reshape job roles and strategies in the industry.

In a captivating discussion, Chris Andrew, Co-founder and CEO of Scrunch AI, explores the transformative shift from traditional SEO to AI-driven search. He reveals how AI offers personalized and unbiased answers, dramatically improving customer journeys. Chris discusses the necessity for businesses to adapt their content strategies for AI, noting impressive conversion rates that surpass traditional methods. The conversation also highlights innovative ad formats emerging from AI technology and the critical need for marketers to embrace these changes for enhanced engagement.

Podcast Overview: Host: Mark Fidelman Guest: June Louisa, Founder and CEO of Constant Closer Topic: AI's Impact on Sales and Marketing Key Highlights: AI in Sales Evolution AI can create 24/7 sales agents Potential to personalize content at scale Current limitations still require human oversight June's AI Journey Started with "Hit Me Up" CRM for content creators Pivoted to focus on email audience conversion Developed Constant Closer to help online course creators AI Sales Technology Insights AI currently enhances sales processes, not completely replacing humans Tools like Constant Closer can: * Generate personalized email campaigns * Improve conversion rates * Provide analytics on sales effectiveness Future Predictions AI will become increasingly integrated into sales processes Humans who effectively use AI will have competitive advantage Expect more sophisticated AI agents in 3-5 years Recommended Tools: Constant Closer Gong Manus.im AI-powered CRM platforms Actionable Takeaways: Dedicate time to researching AI sales tools Experiment with AI-driven marketing strategies Stay informed about emerging AI technologies Contact Information: Guest: Jun Loayza Website: constantcloser.com X (Twitter): @junloayza

AI isn’t coming—it’s already here, and it’s moving faster than anyone expected. Autonomous AI agents are being deployed right now, AGI (Artificial General Intelligence) could be here by 2027, and 80% of today’s jobs could be gone within the next decade. In this episode, Mark Fidelman, CMO of Exabits, breaks down: ✅ AI Agents: How OpenAI’s latest SDK and China’s Manus AI are leading the charge in fully autonomous AI workers. ✅ AGI’s Timeline: Why experts like Sam Altman and Elon Musk think AGI could be here before 2030—and what happens when it arrives. ✅ The Death of Human Jobs: Why most jobs will disappear, which industries will be hit first, and what this means for your career. ✅ How to Stay Ahead: The three things you MUST do to thrive in the AI-driven economy. ✅ The Role of Exabits: How high-performance compute will power the next AI revolution, and why cloud giants like AWS, Google, and Microsoft can’t keep up. Key Takeaways: 🔹 AI agents aren’t just chatbots—they’re autonomous workers running businesses, optimizing supply chains, and replacing human labor. 🔹 AGI could arrive within the next five years, completely reshaping industries, innovation, and the global economy. 🔹 The first jobs to go: Coders, lawyers, analysts, and financial traders. Next? Manufacturing, logistics, and white-collar roles. 🔹 The new economy belongs to those who OWN AI infrastructure—compute power is the new gold. 🔹 If you’re not learning AI, investing in AI, or building with AI right now, you’re already falling behind. Resources Mentioned: 📌 OpenAI’s AI Agent SDK – The framework allowing developers to build fully autonomous AI agents. 📌 Manus AI – China’s breakthrough in AI automation, pushing the boundaries of self-executing AI workflows. 📌 Tesla’s Optimus Robot – A look at AI-powered robotics set to replace human labor in factories. 📌 Exabits – The AI compute backbone, providing faster, cheaper, and scalable GPU power to fuel AI’s future.   Connect with Us: 🚀 Follow me on X: @markfidelman 📢 Join the Conversation on LinkedIn: Exabits 🌐 Learn More About AI Compute Power: www.exabits.xyz

What 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 🔥 Want More AI Insider Content? Subscribe to our newsletter for exclusive insights on AI, tokenization, and disruptive tech. 📩 Sign Up Here → www.smartblocks.agency 🎙️ Rate & Review: Enjoyed this episode? Leave a 5-star review and let us know what you think!