AI Marketing

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.

Did AI Kill the SEO Star? 11/19/2025

How AI Agents Will Decide Your Brand’s Fate 11/13/2025

How AI Agents Will Decide Your Brand’s Fate 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 importance of authentic social proof—such as customer reviews, forums, and third-party ratings—to boost a brand’s credibility with AI agents. How brands can leverage video, podcasts, and other multimedia content to increase discoverability and connect with both AI systems and human audiences. Actionable strategies for preparing your brand for AI-driven search, including building a strong presence on platforms like YouTube, Reddit, and industry-specific review sites. Insights into how brands can stand out with unique, novel information and real customer feedback as competition increases with the proliferation of AI tools. ChatRank’s role in helping businesses audit, track, and optimize their brand presence for AI discoverability, including both self-serve software and managed services. Key Takeaways: Start exploring AI-only websites tailored for agentic interactions. Make your product information highly structured and accessible to AI. Develop a comprehensive strategy to build authentic social proof. Invest in video, podcasts, and other easily digestible content formats. Learn how to get your brand ready for the new world of agentic discovery with practical advice from www.ChatRank.ai , and visit chatrank.ai for more information. Follow the host mark @markfidelman Get Mark's book at /episode/index/show/aimarketing/id/39016495

AGI, Power, and Profit: The Uncomfortable Truths 11/06/2025

AGI, Power, and Profit: The Uncomfortable Truths 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 it’s enough to actually solve… 10:00 — Don’t · Know · They’re · More. It’s a $200,000 vehicle at a minimum, if not $250,000. I don’t know how that thing makes money. To be honest, I mean, does anybody think it— a taxi driver driving a $200,000 car—can… quickly… money on a regular basis.… 15:00 — Know · What · You’re · I’m. I’m gonna… you know, what we can actually do with that, I don’t really know. I feel like, you know, we’ve… we know what… the powder that produces dynamite, but the problem is that we don’t have any casing, and… 20:00 — Its · Own · Why · Think. …even abnormally distributed. And this is really normal with past types of dimensions, with electricity and airplanes, or even the combustion engine for cars, etc. But at the moment, right now, you know, we really need… 25:00 — Know · What · Don’t · Why. The question is, why? We already have enough of us. Yeah, I mean, you know, maybe we need less of us, I don’t know. It depends—depends on your opinion, I guess. Well, but for me, you said it correctly: what is our goal… 30:00 — Know · Quite · Think · Mean. There’s quite a number of individuals like that in Silicon Valley. And that’s been true. He’s tried to sue Sam Altman afterwards to become a founder. He was not actually the original founder of Tesla; he sued his way… 35:00 — Know · Things · One · Human. You know, the math is… it’s… it’s gnarly. It’s hard, and yeah. So we need a lot of power for this. Isn’t it interesting, though, that one human being—powered by food and the sun—can do exactly what… 40:00 — Good · Maybe · Time · Fun. Follow me next time. Yeah, maybe next time we’ll talk about that. Fantastic conversation. There are other things coming up that I’d love to get you on—your perspective. I love your angle, it’s… Notable Quotes And I think that… ultimately, I don’t know, maybe people watch too many movies; they think those movies are reflective of what we’re gonna see in the future. Artificial intelligence—if it was a car and you open up the hood—what do you see? I think artificial general intelligence… let me map out, ultimately, what you’re trying to ask here. And here’s the reason: artificial intelligence… there’s always errors. I don’t agree, and I don’t think it’s gonna be Skynet; I don’t think it’s gonna be I, Robot. I mean, they’re entertaining. But I’m also a realist; I know that a lot of this is hype—but it’s fun, it’s fun. There’s a lot of things that we have as artificial intelligence right now that we use. I feel like we know the powder that produces dynamite, but the problem is we don’t have any casing—and that’s where we are right now. /episode/index/show/aimarketing/id/38932320

Fixing Healthcare With Predictive AI 11/03/2025

Fixing Healthcare With Predictive AI 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 intervention are the only scalable fix. Data > drama: EHRs + labs + pharmacy + wearables + behavioral/financial breadcrumbs create a far clearer risk picture than any single stream. AI’s role today: Triage and risk flags—not final diagnoses. Models surface “high suspicion” and hand off to clinicians. Privacy is the moat: Strict consent, separation from employers/insurers, and legal walls keep PHI protected and trust intact. What signals matter: From basic blood panels and pharmacy gaps to face-scan metabolic cues—more signals = better precision. Why consumers care: Earlier answers, fewer nasty surprises, and lower lifetime spend. Prevention is the new ROI. Business model reality: Think subscription + outcomes, not one-off tests. The value is longitudinal. Chapters & Timestamps 00:00 — Why AI in healthcare actually matters now 00:34 — Meet Mariano: engineer → serial healthcare founder 06:08 — The cost curve problem and why prevention is unavoidable 07:44 — What this company really does: navigation + prediction, not diagnosis 08:01 — Remote monitoring basics: from wearables to at-home capture 09:13 — The messy truth: fragmented data, privacy laws, and integration 12:19 — How data flows in (and why employers never see it) 13:39 — Why financial/behavioral signals boost predictive power 18:13 — What AI tells you: ranges, suspicions, and next clinical steps 19:29 — The “why now” for consumers: earlier lifestyle change, lower costs 21:10 — Roadmap & what has to be true for this to scale Notable Quotes “We raise a flag, then route you to the right clinician. That’s how AI actually saves money today.” “If you stop filling your medication three months in, the model will catch it—and that’s the moment to intervene.” “Prediction beats reaction. Every time.” Practical Uses (Mark’s Playbook) Health plans & clinics: embed risk-flag APIs into care navigation and care-gap workflows. Employers: fund prevention programs without ever touching employee PHI—measure outcomes only. Startups: focus on data rights + consent UX; it’s the difference between demo-ware and deployment. Call to Action If you’re building AI for real people—not hype subscribe to AI Marketing, and DM me on X/LinkedIn @markfidelman If you want the executive playbook on AI agents, join the waitlist at Agentized.com /episode/index/show/aimarketing/id/38887430

NEO Unpacked: Specs, Price, Timeline: What It Really Does 10/30/2025

NEO Unpacked: Specs, Price, Timeline: What It Really Does 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, talking, context-aware device that can surface highly personalized offers (“I see Folgers—want their new roast sample?”) — powerful but must be transparent/opt-in to avoid creepiness. Humanoid Robots in Marketing “Robot Optimization” will follow SEO. Expect brands to build “skills” for humanoids (folding, cooking, demos) and fight to be the default skill for a task. App-store dynamics are inevitable. Humanoid Robots in Marketing Neo Humanoid Robot Overview Novelty marketing works—briefly. Pepper/Connie-style deployments boosted foot traffic and attention; humanoids will 10x the experiential angle, but you’ll need real utility to sustain it. Costs & limits mean B2B first. With $20,000 or $499/mo and first US deliveries slated for 2026, near-term impact skews toward shared environments (hotels, banks, quick-serve, pop-ups) vs. mass consumer homes. Reality check. Expect tele-ops “expert mode,” battery and dexterity constraints, and privacy guardrails early on. Treat Gen-1 as a marketing and service pilot platform, not a labor panacea. Neo Humanoid Robot Overview Competitive heat. Tesla Optimus is improving fast (but still looks clunky in public demos); Boston Dynamics pushes manipulation and mobility. Plan for rapid capability jumps through 2026–2028. Neo Humanoid Robot Overview Suggested chapter markers 00:00 – Why humanoids matter for marketers (new touchpoint, personalization) Humanoid Robots in Marketing 04:30 – Use cases: retail, hospitality, pop-ups, content (robot concierge, robot “spokes-creator”) Humanoid Robots in Marketing 10:10 – The “Robot App Store” & skill economics (default skills = moats) Humanoid Robots in Marketing Neo Humanoid Robot Overview 13:40 – Data, ethics, and transparency (trust > conversion) Humanoid Robots in Marketing 16:45 – Constraints: cost, batteries, tele-ops (pilot smart, don’t overpromise) Neo Humanoid Robot Overview 19:30 – Competitors & timelines (Optimus, Atlas; what to watch) Neo Humanoid Robot Overview 21:30 – Mark’s playbook & call to action Humanoid Robots in Marketing Mark’s take (no fluff) Early humanoids are a marketing weapon disguised as labor automation. Use Neo-class robots to earn attention, collect consented preferences, and deliver “wow-utility” in the real world. If you wait for Gen-3 perfection, your competitor will already own the default robot skill for your category. Humanoid Robots in Marketing Neo Humanoid Robot Overview Episode receipts & references (watch/read these) Official NEO pages (pricing, delivery, FAQ, deposit): preorder $20,000 early access or $499/mo; US deliveries 2026; global expansion 2027. 1X company background (Halodi → 1X; EVE → NEO): history, founders, and industrial lineage. IShowSpeed x NEO livestream (earned-media case): viral, chaotic, and effective. Precedents for robots in service/retail: Pepper raised foot traffic/sales in pilots. Hilton “Connie” (Watson-powered concierge) set the hospitality precedent. Competitor snapshots: Tesla Optimus recent demo and scale ambitions. Boston Dynamics / Atlas (manipulation & mobility trajectory). (Mentioned contextually in episode.) Neo Humanoid Robot Overview Spec-style write-ups: quick primers on NEO dimensions and hand DOF. Practical next steps (for listeners) Pilot a “Robot Host” in one location (hotel, showroom, flagship retail). KPI = qualified footfall, dwell time, opt-in rate. Humanoid Robots in Marketing Design one signature “skill.” Own a mundane, high-frequency task (fold, greet, demo) and brand it—become the default. Humanoid Robots in Marketing Consent-first data loop. Use the novelty to win explicit opt-ins; return value via hyper-personalized service, not ads. Humanoid Robots in Marketing Budget realistically. Treat 2026 as paid R&D: hardware + staff training + content capture. (Yes, film everything.) Neo Humanoid Robot Overview /episode/index/show/aimarketing/id/38847810

Should We Ban AI Superintelligence? Let’s Be Real. 10/23/2025

Sora 2 Exposed: How AI Video Will Change Marketing Forever 10/15/2025

AI vs. Human Training 09/19/2025

Agentic AI: The Future of Marketing Workflows 09/18/2025

Agentic AI: The Future of Marketing Workflows 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 for a world where much of the tedious marketing work is automated. Together, they explore the promise, the pitfalls, and the practical steps CMOs must take today to stay relevant tomorrow. 📌 What You’ll Learn The difference between AI agents (task-specific) and Agentic AI (orchestrated systems). Why deterministic data is critical in a probabilistic AI world. How Agentic AI could automate and enhance the traditional marketing funnel. The evolving role of CMOs when agents can write, send, and close deals. The potential “dark side” of Agentic AI—manipulation, social engineering, and AI-to-AI marketing warfare. The future of UI on demand and “GenUI” in enterprise software. Real-world jaw-dropping examples of what Agentic AI systems can already do. 🔥 Notable Quotes “Agents are task-specific. Agentic AI is the orchestration of many agents with deterministic foundations.” – Christian Monberg “AI isn’t going to replace you. But someone who knows how to use AI will.” – Mark Fidelman “The only way to beat manipulative AI is with better AI.” – Christian Monberg 🏢 About Zeta Global is the AI-powered marketing cloud that leverages proprietary AI and trillions of consumer signals to make it easier to acquire, grow, and retain customers more efficiently. Zeta Global helps enterprises unify fragmented data and drive growth with an AI-native marketing platform. Their proprietary Data Cloud covers 245M consumers, enabling brands to deliver personalized, real-time experiences across the customer lifecycle. Learn more at . 📅 Don’t miss Zeta Live on October 9th a one-day event showcasing their latest Agentic AI applications. 📣 Connect with Us Host: Guest: Christian Monberg Podcast Website: /episode/index/show/aimarketing/id/38261405

Back to School, Back to AI: Amnesty for Students and Workers? 09/11/2025

SEO Isn’t Dead, It’s Wearing an AI Exoskeleton (and Still Runs Google) 09/03/2025

SEO Isn’t Dead, It’s Wearing an AI Exoskeleton (and Still Runs Google) 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 between “recommended” and “paid” to blur—again. Users will need media literacy; marketers will need ethics and receipts. What to do right now. Keep your SEO fundamentals: technical hygiene, intent-matched content, internal linking, and legit link acquisition. AI helps you produce, but quality signals and authority still gate results. Budgeting reality check. There’s no reliable, transparent funnel from LLMs yet (no query data, minimal attribution). Investing in SEO still doubles as LLM optimization because LLMs cite what already ranks. Where you will lose traffic. “What is…/how to…” question queries will be cannibalized by AI summaries. Shift your strategy: productized answers, comparison pages, original data, tools, and local “near me” intent. Local is durable. For “lawyer near me,” “restaurants near me,” classic local SEO and placements keep paying. Ignore snake oil. There isn’t a proven “LLM.txt magic switch.” Test, measure, and follow credible sources—not LinkedIn gurus with 20 prompts to “rank tomorrow.” Practical plays Ship authority content (original data, calculators, checklists) that LLMs want to summarize and humans want to bookmark. Own your entities (brand/person/locations) with structured data and consistent citations so both search engines and LLMs can “understand” you. Track AI referrals where possible (e.g., ChatGPT UTMs), but don’t chase shadows—optimize the pages LLMs would naturally choose: clear answers, sources, and credibility signals. Link earning > link buying. Publish assets that deserve links; use PR and partnerships to earn them. TL;DR SEO isn’t dying; it’s being distilled. If you rank in search, you’re in the LLM shortlist. Keep the fundamentals, evolve content formats, and don’t “optimize for ghosts” until attribution is real. 👤 Guest: Carl Holden — Contact Info Website (personal): carlholden.ai. Zellus Marketing (agency): zellusmarketing.com • Phone: (844) 493-5587. RankBot (AI SEO platform): rankbot.ai • Email: . Forbes Council Profile: background & speaking—see profile. /episode/index/show/aimarketing/id/38068085

The Rise of Creators and the AI Paradox 09/02/2025

The Agentized Future: How AI Agents Will Reshape Business (And Why You Must Act Now) 08/13/2025

How CMOs Need to Lead the AI Marketing Shift 08/12/2025

Transforming B2B AI Marketing Strategies 08/05/2025

Lies, Damn Lies, and AI 07/07/2025

Lies, Damn Lies, and AI 🔑 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 AI will replace doctors, when in reality it augments them. 🧠 AI as a Propaganda Engine: Bambenek argues that AI amplifies misinformation at scale, and platforms aren’t prepared to filter it properly. AI-generated content (deepfakes, fake articles, fake studies) can erode trust faster than any disinformation campaign in history. 🧑‍💻 Cybersecurity Meets AI: AI tools are now helping hackers, not just defenders. Script kiddies can launch sophisticated attacks without understanding the code. A new arms race is underway: AI vs. AI in cybersecurity. 📉 The Cost of Hype: Venture capital and corporate hype often exaggerate what AI can do, leading to wasted money, broken products, and dangerous expectations. The idea of “general AI taking over everything” is a misleading narrative pushed for clicks and funding. 🧩 Call for Transparency: Bambenek advocates for “explainable AI” — if an algorithm makes a decision, we should understand why. Black-box systems being deployed in legal, medical, or hiring decisions are a major red flag. 🧠 Notable Quotes: “AI doesn’t replace expertise. It amplifies it — or it amplifies ignorance if you’re not careful.” – John Bambenek “There’s nothing more dangerous than trusting a machine you don’t understand.” – Mark Fidelman 📘 Learn More: Book: Lies, Damn Lies, and AI by John Bambenek – Guest: /episode/index/show/aimarketing/id/37324695

Will AI Replace Salespeople? Jeeva.ai’s CEO Reveals the Future 06/13/2025

Will AI Replace Salespeople? Jeeva.ai’s CEO Reveals the Future 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 enterprise customers. Backed by notable investors including Alt Capital (Jack Altman), Sapphire Ventures, and Mark Benioff of Salesforce. Why AI Matters for Sales Automates repetitive tasks such as lead generation, research, personalized outreach, and CRM updates. Enhances efficiency, allowing salespeople to focus on relationship building and strategic tasks. AI Replacing Sales Calls? Gaurav’s strong stance against AI fully replacing human sales interactions. Belief in AI augmenting rather than replacing high-value sales tasks. Future of AI and Human Work Discussion on Universal Basic Income and the evolution of jobs in an AI-driven economy. Predictions on autonomous driving and entrepreneurial opportunities in AI-managed fleets. First Steps for Salespeople New to AI Begin with chat-based tools (e.g., ChatGPT, Perplexity) for deep research and personalized outreach. Leverage AI to build credibility and trust through superior customer knowledge. What Top Sales Performers Do Differently Proactively prospecting with AI tools. Maximizing opportunities by personally generating leads beyond inbound marketing. Jeeva.ai’s Unique Solutions for Salespeople Advanced AI-powered lead discovery and enrichment. Personalized multi-channel outreach campaigns automated and scaled effortlessly. Enhanced productivity, enabling sales reps to manage larger pipelines effectively. Connect with Jeeva.ai: Website: Email: LinkedIn: (Look for Jeeva.ai affiliation) Host Information: Mark Fidelman AI marketing expert, podcast host, and fractional CMO specializing in AI, blockchain, and real estate tokenization. Website: LinkedIn: Twitter: Subscribe and Listen: Spotify, Apple Podcasts, Google Podcasts, or wherever you get your podcasts. Join us next episode as we continue to dive deep into the transformative power of AI across marketing and sales! /episode/index/show/aimarketing/id/37002705

Google's Veo 3: The AI Tool That Just Reinvented Video Marketing 05/30/2025

Google's Veo 3: The AI Tool That Just Reinvented Video 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 /episode/index/show/aimarketing/id/36792615

Humanizing AI Technology with CEO Christian Perry from Undetectable.ai 05/22/2025

Humanizing AI Technology with CEO Christian Perry from Undetectable.ai 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 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: Website: /episode/index/show/aimarketing/id/36682960

AI Marketing Podcast Weekly Roundup May 29 2025 05/07/2025

AI Marketing Podcast Weekly Roundup May 29 2025 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: Meltwater’s Mira Launch: Ahrefs SEO Study: Del Real’s Abuela Intelligence Campaign: 🔁 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 😉 /episode/index/show/aimarketing/id/36477880

Could Quantum Computing Destroy Nvidia’s AI Dominance? 04/26/2025

Could Quantum Computing Destroy Nvidia’s AI Dominance? 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. /episode/index/show/aimarketing/id/36323780

The Rise of GPU Investing: Owning the Backbone of AI 04/25/2025

The Rise of GPU Investing: Owning the Backbone of AI 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 /episode/index/show/aimarketing/id/36316295

The Death of Traditional Marketing Automation and Rise of AI Agents 04/11/2025

The Death of Traditional Marketing Automation and Rise of AI Agents Mark Fidelman and Eugene Vyborov discuss the differences between traditional automation and agentic AI in marketing. Eugene, founder of Ability AI, explains that agentic AI can make decisions and execute them, unlike traditional automation, which is rule-based. Ability AI's media buying agent simulates a media buyer's work, understanding audiences, creating value propositions, and launching campaigns on Facebook. Eugene highlights that agentic AI is a paradigm shift, with potential for significant efficiency gains. He advises marketers to learn about AI to stay competitive and suggests testing AI for competitive intelligence. Ability AI's media buying agent is in beta, with general availability soon. Introduction and Guest Introduction Mark Fidelman introduces the topic of the discussion, focusing on the differences between traditional automation and agentic AI in marketing. Mark Fidelman introduces Eugene Vyborov, a serial entrepreneur and founder of Ability AI, who is currently in Portugal. Eugene Vyborov provides a brief introduction about himself and his company, Ability AI, which focuses on AI automation for marketing, particularly media buying with Facebook. Eugene Vyborov explains his interest in agentic AI and entrepreneurship, highlighting his expertise in this area. Differences Between Traditional Automation and Agentic Automation Eugene Vyborov explains that traditional automation is rule-based and lacks intelligence, while agentic automation can make decisions and execute them. Agentic automation can analyze information, make judgments, and take actions to achieve better results. Eugene Vyborov emphasizes the importance of content creation in marketing and how agentic automation can create content at scale. Mark Fidelman asks for clarification on the term "agentic," and Eugene explains that an agent can be proactive or follow instructions, depending on the business use case. Paradigm Shift in Marketing Automation Eugene Vyborov believes that agentic automation represents a full paradigm shift, larger than the introduction of the internet. Mark Fidelman shares a statistic from a previous episode where only 10% of marketers were using ChatGPT a year ago. Mark Fidelman and Eugene discuss how agentic automation can make marketing more relevant and directed to individuals in real-time. Eugene Vyborov provides examples of how agentic automation is already being used in media buying, SEO, and cold emailing. Case Studies and Practical Examples Eugene shares that his own marketing for Ability AI is run by their agent, which books demos at a decent cost. Mark Fidelman provides an example of how agentic automation could personalize emails in real-time based on information found on the internet. Eugene discusses how agentic automation can create SEO-optimized content at scale, leading to significant traffic for websites. Eugene explains how their media buying agent works, from understanding the audience to launching and optimizing campaigns on Facebook. Autonomy and Trust in AI Agents Mark Fidelman asks about the level of autonomy marketers should allow their AI agents to have. Eugene explains that currently, the level of autonomy is relatively low due to the need for trust and the risk of mistakes. Eugene believes that over time, agents will become more autonomous and take over more decision-making responsibilities. Mark Fidelman and Eugene discuss the performance metrics and KPIs used to judge agentic automation, such as return on ad spend and CPC. Technical Stack and Market Trends Eugene explains that there is no single tech stack for agentic automation, with various solutions available. Eugene mentions generic solutions like Make and Natin that can help build agentic workflows. Mark Fidelman asks about the biggest objections or misconceptions marketers have about agentic automation. Eugene identifies mistrust, desire to control, and fear of replacement as major concerns among marketers. Future of Marketing with Agentic Automation Eugene believes that agentic automation will introduce more opportunities than it will take away, leading to a fragmented market with more solopreneurs and small teams. Mark Fidelman and Eugene discuss the potential impact of AGI on marketing and the importance of marketers learning to work with AI. Mark Fidelman suggests a use case for marketers to test: having an agent constantly scour the internet for competitive moves. Eugene advises marketers to spend time learning about and working with agentic systems to stay ahead of the curve. Rapid Fire Questions and Closing Remarks Eugene identifies ChatGPT as the most overhyped AI tool, as it may limit exploration of other AI capabilities. Eugene Vibraf suggests that the role of go-to-market engineer will become more important in the future. Eugene believes that while AI can handle basic strategy, humans will still be needed to approve and commit to the strategy. Eugene expresses concern about the uncertainty and potential misuse of agentic AI, emphasizing the need for control. Contact Information and Final Thoughts Eugene provides information about Ability AI and their media buying agent for Meta. Mark Fidelman shares his contact information and encourages listeners to reach out to Eugene and test Ability AI's products. Mark Fidelman concludes by emphasizing the importance of agentic automation in marketing and the potential it has to revolutionize the industry. /episode/index/show/aimarketing/id/36103635

The Death of SEO and Rise of AI Search 04/10/2025

The Death of SEO and Rise of AI Search 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. /episode/index/show/aimarketing/id/36077395

The $100K Sales Secret: AI Agents That Never Sleep 04/08/2025

The AI Jobpocalypse: How AI Agents & AGI Will Change Everything 03/19/2025

The AI Jobpocalypse: How AI Agents & AGI Will Change Everything 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: 📢 Join the Conversation on LinkedIn: 🌐 Learn More About AI Compute Power: /episode/index/show/aimarketing/id/35770935

The Real Reason DeepSeek Went Viral 02/01/2025

The Real Reason DeepSeek Went Viral 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 () ✅ 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 () 🧩 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. 🔗 🔗 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. 🔗 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. 🔗 🔗 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. 🔗 🔗 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. 🔗 🔗 🔗 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. 🔗 🔗 💡 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): 🔹 Join the AI Marketing Podcast Community – 🔹 Learn More About AI Compute Alternatives: 🔥 Want More AI Insider Content? Subscribe to our newsletter for exclusive insights on AI, tokenization, and disruptive tech. 📩 Sign Up Here → 🎙️ Rate & Review: Enjoyed this episode? Leave a 5-star review and let us know what you think! /episode/index/show/aimarketing/id/35106415

4 Steps to Accelerate AI Innovation 01/24/2025

4 Steps to Accelerate AI Innovation 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: Future Works Blog: AI Coach Tool: Available with the book at 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: /episode/index/show/aimarketing/id/34989880

Exploring AI in Software Development and Marketing 01/24/2025

7 Linkedin AI Predictions for 2025 and How They Will Impact Marketers 12/16/2024

7 Linkedin AI Predictions for 2025 and How They Will Impact Marketers 📌 Key Topics Discussed: 1️⃣ From Hype to Practical AI Use Cases AI will shift from speculation to measurable outcomes. I share why clear goals are essential and where I think businesses need to focus to stay competitive. 2️⃣ The Battle for AI Hardware: Will Nvidia Be Dethroned? New challengers like AMD, Intel, and startups are taking aim at Nvidia’s monopoly. Hear my thoughts on whether Nvidia can keep its lead or if 2025 will be a turning point. 3️⃣ Digital Twins and the Four-Day Workweek AI-powered digital assistants could free up our Fridays. I explore what this means for productivity and how realistic this vision is. 4️⃣ Robots in Your Home: Sci-Fi No More AI advancements are bringing robots mainstream for tasks like cleaning, cooking, and more. I discuss the opportunities and challenges of this robotic revolution. 5️⃣ AI’s Role in Building Inclusive Workforces How assistive AI tools will empower disabled workers and unlock massive business value. I weigh in on how leaders can integrate these tools effectively. 6️⃣ Fractional CAIOs: The Future of AI Leadership With a shortage of AI executives, fractional CAIOs are stepping in. I share why this model could be the solution for smaller businesses to scale AI initiatives. 7️⃣ AI Systems Engineers: The Hottest Job of 2025 As AI agents proliferate, oversight roles like AI systems engineers will become critical. I give my take on why this role matters and how to position yourself for success. 💡 Why You Should Listen: This isn’t just another AI predictions episode — I’m giving you my take on every trend: What’s realistic, what’s overhyped, and what it means for you and your business. Actionable insights to leverage these predictions and stay ahead of the AI curve. Straight talk for leaders, marketers, and innovators who need to know where to focus in 2025. 📚 Resources & Links: for more AI insights and updates. Don’t miss the full list of AI predictions we discuss, sourced from LinkedIn News. 🎧 Call to Action: If you enjoyed today’s show, subscribe, share, and leave a review. I want to hear your thoughts on these predictions — do you agree, disagree, or have your own bold ideas for AI in 2025? Let’s keep the conversation going and lead the charge into the AI-driven future. 🚀 Stay curious. Stay bold. Stay AI-forward. 🎙️ Listen Now: Available on Spotify, Apple Podcasts, and wherever you get your podcasts. /episode/index/show/aimarketing/id/34462055

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