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AI Marketing

AI Marketing

By: Mark Fidelman
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Season 4: Join Mark Fidelman on "AI Marketing," where cutting-edge AI solutions meet modern marketing strategies. Each episode, we dive into the latest and most effective AI tools revolutionizing the marketing landscape. From deep dives into specific AI technologies to discussions with industry pioneers, our podcast keeps you at the forefront of AI-driven marketing innovation. Whether you're a marketing professional eager to enhance your campaigns or a tech enthusiast curious about AI's impact on marketing, "AI Marketing" is your go-to resource for staying ahead in the dynamic world of AI marketing. Tune in to explore how artificial intelligence is transforming marketing.Mark Fidelman 2024 Economics Marketing Marketing & Sales
Episodes
  • Cloning Your Brain with AI

    Cloning Your Brain with AI
    Jul 16 2026
    Episode Description In this episode of AI Marketing Today, host Mark Fidelman sits down with legendary copywriter and AI entrepreneur Jon Benson (benson.ai) to unpack what it really takes to: Make AI sound humanClone your brain into a 24/7 digital workerUse specialty AI to out-market and out-sell your competitors Jon shares how he went from fitness author to inventor of the Video Sales Letter (VSL), why generic LLMs will never be enough for serious marketers, and how his "You Cloned" system builds AI versions of yourself that can consult, write, and think like you—about 95% as well as the real thing. We also dive into mirror language, specialty AI vs. consumer AI, and why your job isn't at risk from AI—but from the person who knows how to use AI better than you. Guest Jon Benson Founder of benson.ai – specialty AI for copywriting and marketingCreator of "You Cloned" – digital brain clones for consulting & copyLong-time direct response copywriter and creator of the Video Sales Letter (VSL) Resources from Jon: Website: benson.aiCloning PDF & tools: youcloned.ai (free resource mentioned in the episode) Host Mark Fidelman AI & marketing strategist, podcast host of AI Marketing Today, co-author of Agentized. Key Topics & Timestamps [00:02:25] – Jon's Origin Story From fitness author (Fit Over 40) to copywriterAccidentally inventing the Video Sales Letter (VSL)Early experiments with AI copy in 2010 and why 2017–2018 AI felt "harder than putting a rover on Mars" [00:05:11] – Why AI Still Struggles to Sound Like You The gap between "decent AI copy" and a true voice cloneWhy current models still have tells and feel slightly offThe distinction between sounding human vs. sounding like you [00:05:31] – You Cloned: Digital Brain, Not Just Deepfake Video Jon's "You Cloned" offer: a digital worker that thinks and talks like youTraining on: 20+ years of emailsCourses, funnels, and consulting calls Why this requires offline / private models (Claude Code, Codex, etc.) pulling directly from your own files [00:07:38] – Voice vs. "Voice" (Literal and Metaphorical) Spoken voice: 11Labs voice cloning, tricks to make it sound more humanStrategic voice: how you think, answer questions, and adviseWhy Jon focuses on behavior and reasoning more than perfect audio mimicry [00:08:35] – Recording Your Life vs. Recording Your Expertise Wearables like Limitless that record everything 24/7Jon's more practical approach: Clone the consultant part of himself (his $5,000/hour brain)Focus on marketing and copy instead of his entire personality [00:11:32] – Imperfect Humans, Imperfect AI, and Unrealistic Expectations Why expecting AI to be perfect on the first draft is delusionalHuman copywriters also revise their first drafts—AI should be held to the same realistic standardThe "microwave generation" mindset vs. real creative work [00:15:08] – You Won't Lose Your Job to AI… You'll lose it to someone who knows AI better than youImportance of: Staying on top of new models and toolsUnderstanding specialty AI, not just big general LLMs [00:16:18] – Agentic AI & Complex Workflows Jon's system is fully agentic and has been for over a yearOver 70 agents inside Benson for: Big ideasViral hooks (e.g., Firecrawl searches)Copy variants and consulting flows Difference between "has agents" and truly orchestrating specialized agents with tools and knowledge bases [00:20:09] – Should You Even Clone Your Voice? When you shouldn't clone your literal voiceWhy voiceover talent (or 11Labs presets) can outperform many foundersThe real gold: your buyer's voice, not yours [00:20:52] – Mirror Language: The Secret Weapon in Copy Mirror language = what your buyers secretly say to themselves in the mirrorHow Jon discovered his Fit Over 40 buyers were: Average age: 6772% female Why that mismatch in avatar and language still sold—but could've sold 10x more with accurate mirror language [00:24:35] – Repel Most People, Attract the Right Ones Jon's contrarian philosophy: Don't sell to everyoneRepel bad-fit buyersCreate rabid fans who share you organically Speak your values clearly so the wrong people self-select out [00:28:06] – Segmenting by Sophistication (Beginner vs. Expert) Newbie copywriters vs. advanced copywritersWhy jargon like "hypnotic flow" or "reverse NLP" alienates beginnersAnalogy: talking differently to your 10-year-old vs 18-year-old without changing who you are [00:29:51] – How the Clone Adapts to the User Layered questioning to determine: Who the user isWhat level they're atHow to pitch or advise them accordingly Specialty AI as a curated expert system, not "go read the whole internet" [00:31:44] – Specialty AI vs. Consumer AI (Clive vs. Dr. Expert) The "Clive in his mom's basement" analogy vs. a 20-year fasting expertWhy specialty AI with true IP will beat generic models in high-stakes nichesJon's stealth move: Creating training ...
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    30 mins
  • Building an AI-Centric Business

    Building an AI-Centric Business
    Apr 20 2026
    In this episode, host Mark talks with James Thornton, CEO of Daz 3D / Tafi, about what it really means to build an AI-centric business. James shares how his company evolved from a 3D content and avatar business into a key AI data provider for some of the world's largest tech and gaming brands. They discuss: The shift from scraping web data to bespoke, rights-clean AI training dataUsing AI across product, marketing, and customer service workflowsReal-world applications in VR, robotics, gaming, and product visualizationHow AI is transforming email marketing and localizationWhat the next 3 years of AI adoption will look like inside typical organizations Key Topics & Timestamps [0:00:00] – Introduction & Guest Background Mark opens the show and frames the topic: AI-centric businesses with a marketing slant.James introduces himself and his company Daz 3D / Tafi.His background: CEO at Daz for over a decadePrevious role growing a creative product brand from near zero to a $1B retail brand in 3.5–4 yearsHow Daz has continually pivoted into AI trends [0:01:18] – What It Means to Be an AI-Centric Business James defines AI-centric as "AI-first" thinking across the business, especially in marketing.Emphasis on balancing AI with people, expertise, and intuition, rather than AI replacing human judgment. [0:01:37] – Daz / Tafi's Evolution into AI Company roots: 25-year-old business with a strong direct-to-consumer freemium modelDeep community of 3D digital content creators (avatars, products for gaming, etc.) Past pivots: work in Web3 and NFTs, then parlaying that into today's AI data and services.They now both: Support other companies' AI initiativesUse AI internally to streamline content creation and business workflows [0:03:37] – How They Help Other Companies with AI Core specialty: 3D digital content, avatar systems, and digital assets.Use AI and procedural tools to: Scale their content libraryProduce rights-clean, structured, annotated AI training data Customers include top tech, gaming, and enterprise brands training foundation models for: Text-to-characterProduct creation & visualization (including physical product development)Robotics and other AI applications [0:04:51] – Concrete Benefits of AI for Clients and Daz Central thesis: Good AI requires high-quality training data.For clients: Bespoke, properly licensed data for training a wide range of models For Daz's own business: AI embedded in product workflows and content productionAI in product search, customer service, QA, and other functions to drive efficiency and effectiveness [0:06:07] – AI Agents and Localization Use of AI agents in customer service to handle technical tickets and customer questions.Heavy focus on localization: AI to adapt website and e-commerce for global marketsIntegrating translation tools directly into their software so customers can use products in their native languageJames calls this a "huge lift" for the business. [0:07:45] – Tools: Open "Claw" and Enterprise AI Options They use Open "Claw" (contextually, likely a reference to a general-purpose LLM) through virtual machines across business units, including marketing.Acknowledge recent changes in that ecosystem and the need to adapt.Considering more enterprise-focused alternatives, such as the "Nemo Claw" and other corporate-friendly solutions, with an eye on governance and parameters. [0:08:54] – Their Process for Helping Enterprise Clients First step: deeply understand voice of the customer and specific AI data needs.Industry shift: Moving away from scraping the internet or generic licensing for training dataToward custom, bespoke training sets Unique position of Daz / Tafi: Own the full rights to their 3D content library (avatars, scenes, props)Avoid ethical and legal issues around unauthorized training data Process: Scope the client's needs.Use AI and internal workflows to generate customized datasets. Example: For a major tech company building VR headset experiences, they created tens of thousands of unique characters, avatars, clothing, and assets to train their models.James notes they might be the only company able to deliver this level of tailored solution at that scale. [0:11:34] – The Next 3 Years: How AI Changes Organizations Based on discussions with CEOs and senior leaders: Debate continues on whether AI creates or eliminates jobs; James personally believes it will create jobs.Near-unanimous view: every company must integrate AI into workflows.Employees and companies with a clear AI strategy will win versus those without one. Expectation: Continued job creation plus a strong push for AI-centric efforts in every part of the businessFocus on efficiency, output, and more bespoke customer solutions [0:13:25] – Advice to Marketers & Final Takeaways James emphasizes "just get started" and experiment with AI.For marketers: AI enables hyper-specific adaptation to ...
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    16 mins
  • How Humanoid Robots Will Transform Marketing

    How Humanoid Robots Will Transform Marketing
    Mar 30 2026
    In this episode of the AI Marketing Podcast, host Mark Fidelman sits down with David Amar, founder of Makina (a new conference dedicated to physical AI), to explore how robots and humanoids will change the future of marketing. They discuss why robots are such powerful brand activations, when we might see in‑home humanoid housekeepers, how China is leading on hardware while the West leads on software, and why 2025–2026 feels like the "GPT moment" for physical AI. David also shares what to expect at Makina in Paris on July 7 and why marketers should get ahead of this trend now. Guest David Amar Background in computer science and neuroscience (UCL)Formerly worked in prostheticsFounder of Makina, a conference that brings together the fragmented physical AI ecosystem: humanoid builders, robot "brain"/OS providers, capital, industrial partners, and talent Key Topics & Timestamps 1. Why Robots Are Marketing Gold [0:00:00 – 0:02:24] David's background and the launch of MakinaWhy robots are "premium marketing material": Robots tap into deep cultural fascination (e.g., Star Wars, Star Trek)Simply announcing "Robot X/Y will be on site" can materially boost event attendance Humanoids as especially compelling because of their uncanny, human-like form "I don't think I've ever met somebody that says this isn't interesting… It's just premium marketing material." – David [0:01:31] 2. Timeline: When Physical AI Hits Everyday Life [0:02:24 – 0:03:25] David's long‑range outlook: Short term: impressive demos, but still lots of technical bottlenecks~10–15 years: expect robots/humanoids in places we never imagined, with deep dependence on them Contrast with digital AI: We're already "slaves" to ChatGPT and cloud AI for knowledge workPhysical dependence on robots will follow later 3. How Robots Show Up in Marketing (Beyond a Robot at a Desk) [0:03:25 – 0:06:27] Robots won't replace marketers by typing at a desk—that's the realm of LLMs and digital AIInstead, robots will act as: Brand avatars and mascots (e.g., "the Amazon robot," "the Walmart robot")Physical activations at events, retail, and public spacesProduct demo agents in stores, on the street, or wherever target audiences gather Comparison to today's street activations (e.g., sign spinners) but in a far more advanced, interactive formEmotional/branding angle: A charming C‑3PO‑style humanoid pitching products can be more captivating than a celebrity "There's just something more charming about a C‑3PO showing the new Coca‑Cola than just a regular old Joe… even if it's George Clooney." – David [0:05:33] 4. Humanoids vs. "Robots" – What's the Difference? [0:06:27 – 0:07:55] Humanoid: Robot with human‑like physiology and form (height, posture, movement)Tends to get anthropomorphic traits projected onto it Robot: Any robotic form, e.g. a single robotic arm, a robot dog, or R2‑D2‑style platforms Long‑term: Mark expects humanoids to become increasingly indistinguishable from humans in 20+ years 5. In‑Home Humanoids: How Close Are We Really? [0:07:55 – 0:11:29] West vs. Asia split: West: stronger on software and AI modelsAsia (especially China): stronger on hardware and shipping units at scale Today you can already order multiple Chinese robot models online and have them delivered within a month Current leading players mentioned: 1X – focused on household/housekeeping tasksSanctuary (Sunday Robotics) and others delivering early trial units Reality check on timelines: No one truly knows, but David's informed estimate: 5–7 years to order functional in‑home humanoids onlineDependent on breakthroughs in: Fine manipulation of small objectsRobust computer visionAutonomous navigation in unmapped environments Many "impressive" demos are partly marketing: Used to raise capital, build momentum, and buy time while teams fight through technical bottlenecks 6. Data, Compute, and How These Robots Actually Learn [0:10:42 – 0:13:16] Today's deployed robots are often trial models used primarily to: Collect huge amounts of real‑world dataTrain the next generation of more capable robots Data and compute needs: Humanoids need even more data than LLMs: Touch, force feedback, vision, balance, navigation, etc. Massive compute, similar or greater than what's used for digital AI Where the compute lives: Training: in large data centers, often the same infrastructure used for AIOn‑device inference: Onboard boards like NVIDIA Jetson inside the robot's "chest"Local models run on-device, optionally connected via Wi‑Fi for streaming data and updates Most robots in the wild are still tightly constrained and far from general-purpose autonomy 7. The Makina Physical AI Event in Paris [0:13:59 – 0:19:11] Date: July 7Location: Station F, 13th district of Paris (central), the world's largest startup campusFormat: One‑day dedicated physical AI conferencePaired with ...
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    22 mins
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