AI Marketing

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.

  Mark Fidelman and Chris Andrew discuss the shift from traditional SEO to AI-driven search. Chris, co-founder and CEO of Scrunch AI, emphasizes that AI search is becoming more prevalent, offering personalized and less biased answers. He highlights the importance of optimizing for AI models by focusing on text-based content and understanding customer personas. Chris notes that AI search is driving significant conversion rates, often outperforming traditional SEO. Scrunch AI helps businesses monitor and improve their AI search presence, with an average 40% growth in AI referral traffic. They also discuss the potential for AI to introduce new ad formats and the need for marketers to adapt to these changes.   Introduction and Participant Backgrounds Mark Fidelman introduces the topic of AI marketing and expresses his preference for AI search over traditional SEO. Chris Andrew introduces himself as the co-founder and CEO of Scrunch AI, emphasizing the shift towards AI-first customer journeys. Mark Fidelman shares his personal experience of using AI for searches, noting the custom and direct answers provided by AI. Chris Andrew mentions his favorite AI tools for marketing and sales, including Google's LM product, Granola note-taking app, and various GPT models. The Shift from Traditional Search to AI Search Chris Andrew explains why he believes search will be replaced by AI, highlighting the simplicity and personalization AI offers. He discusses the limitations of traditional browsing and the advantages of AI in providing direct answers and understanding user intent. Chris Andrew shares his personal experience of relying on AI for research and how it has changed his customer journey. He emphasizes that AI is better for humans as it provides less biased and more accurate information. Impact of AI on SEO and Customer Journey Chris Andrew clarifies that SEO is not dead but has evolved with AI, which now evaluates content based on human intent. He explains the importance of text-based content like FAQs, knowledge bases, and glossaries for optimizing AI models. Chris Andrew discusses the role of large language models in evaluating content and the need for organizations to bring new data sets online. He highlights the importance of understanding customer personas and how AI can provide personalized results based on user background and sophistication. Optimizing for AI Models and Privacy Considerations Chris Andrew explains how AI models rely on traditional search indices to determine credibility and relevance. He discusses the role of Google's index and the introduction of OpenAI's own index in the AI search landscape. Chris Andrew emphasizes the need for organizations to bring up-to-date and relevant data sets online to improve their AI presence. He addresses privacy concerns by focusing on non-confidential internal data sets that can enrich AI models' understanding of brands and products. The Role of AI in Customer Journey Mapping Chris Andrew discusses the importance of understanding customer personas and how AI can provide personalized results based on user background. He shares examples of how AI models can cater to different user needs, such as high-end fashion shoppers versus budget-conscious consumers. Chris Andrew highlights the potential for AI to create deeply personalized experiences and the need for organizations to map their customer journeys accordingly. He mentions his participation in a panel on neurodiversity in AI, which explores how models can help people with different thinking styles. Marketing Strategies for AI-First Customer Journeys Chris Andrew advises marketers to monitor and understand AI search trends, including the frequency of AI agent visits to their websites. He emphasizes the importance of tracking referral visits, conversion rates, and citations in AI search results. Chris Andrew suggests that marketers should focus on providing content that aligns with AI models' language-based processing. He highlights the need for organizations to adapt their content strategies to cater to AI models and improve their AI presence. Introduction of Scrunch AI and Its Value Proposition Chris Andrew introduces Scrunch AI, a platform that helps organizations optimize for AI-first customer journeys. He explains how Scrunch AI provides deep monitoring, insights, and recommendations to improve AI presence. Chris Andrew shares that Scrunch AI's average customer sees a 40% growth in AI referral traffic and a 3-4x improvement in overall AI presence. He encourages marketers to book a meeting with Scrunch AI to understand their AI search performance and receive actionable recommendations. Final Thoughts and Future Trends Mark Fidelman and Chris Andrew discuss the potential for AI models to introduce ads and the importance of maintaining neutrality. Chris Andrew shares his thoughts on the future of AI search, including the potential for micro-transactions for referral visits. Mark Fidelman emphasizes the need for marketers to start thinking about AI optimization and the potential impact on customer journeys. Chris Andrew concludes by expressing his excitement about the future of AI in marketing and the importance of understanding and adapting to AI search trends.

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!

Host: Mark Fidelman Guest: Matt Leta, Author of The Leap Guide and Founder of Future Works In this episode of AI Marketing, we sit down with Matt Leta, a tech entrepreneur and AI strategist, to discuss his 4 steps to accelerate innovation in the age of AI. Matt shares insights from his book, The Leap Guide, and provides actionable strategies for organizations looking to embrace AI and drive innovation. Episode Highlights: 1. Meet Matt Leta Matt's journey from starting his first startup at 19 to working with industrial, energy, and aerospace companies. How his experience in AI and digital product development has shaped his approach to innovation. 2. The 4 Steps to Accelerate Innovation Matt introduces a practical, repeatable 12-week framework to help businesses successfully implement AI-driven innovation: Locate: Find an innovation champion within the organization. Form diverse groups to identify AI opportunities. Evaluate: Use a proven framework to quickly assess and prioritize ideas. Focus on high-impact opportunities that align with business goals. Action Planning: Develop a roadmap to gain stakeholder buy-in and present AI initiatives effectively. Progress: Prototype solutions and communicate value to drive organizational adoption. 3. Matt's Favorite AI Tool Matt shares his current favorite AI solution: OpenAI's GPT-4o Pro, which he uses for strategic thinking, idea generation, and problem-solving. 4. Key Takeaways AI success is not just about technology—it's about people, communication, and buy-in. The importance of a structured yet flexible approach to AI adoption. How small AI-driven wins can lead to company-wide transformation. Resources Mentioned: Matt Leta's Book: The Leap Guide Future Works Blog: news.future.works AI Coach Tool: Available with the book at leap.guide Follow & Subscribe Don't forget to subscribe to the AI Marketing Podcast for more insights on leveraging AI to transform your business. Listen & Subscribe: Spotify Apple Podcasts Google Podcasts Connect with Us: Mark Fidelman on LinkedIn: linkedin.com/in/markfidelman  

Host: Mark Fidelman Guest: David Hirschfeld, Founder of Tekyz, a software development company specializing in AI-driven solutions. Topics Covered: The role of AI in software development and marketing David's favorite AI tool: Replit, a code development tool revolutionizing prototype building Leveraging AI for personalized marketing outreach and customer insights Real-world examples of AI implementation in healthcare, including an AI nurse and automated medical record reviews Using AI for project estimation, refactoring code, and workflow optimization Predictions for the future of AI in the next two years Key Quotes: "Marketing is critical when launching and scaling a software startup." – David Hirschfeld "AI has the ability to make all your marketing outreach feel like a personalized experience." – David Hirschfeld "The 100-foot wave of AI is coming, and we must paddle out and ride it or be wiped away." – David Hirschfeld Resources Mentioned: Replit: An AI-driven code development tool Guest Contact Information: Email: david@tekyz.com Website: www.tekyz.com LinkedIn: David Hirschfeld on LinkedIn

AI is moving from hype to tangible outcomes, urging businesses to set clear goals. The competition for AI hardware heats up as new players challenge Nvidia's dominance. Imagine robots handling chores at home, making the four-day workweek a reality! Assistive AI tools promise inclusivity in the workplace, while fractional CAIOs could help smaller companies navigate AI adoption. As AI systems engineers emerge as key roles, positioning for this future becomes essential.