FOMO.ai AI & Human Marketing

Augmented vs. Realists: Who Wins the Next Evolution? Most people think the digital divide is about internet access, but the gap ahead could split humanity itself. This episode explores the rise of the Augmented—those who embrace enhancements to body and mind—and the Realists, who refuse or can’t afford to adapt. The story begins with something as basic as access to computers in a public library, and stretches forward into a world of superhuman senses, embedded processors, and the terrifying potential of hackers breaking into not just your accounts, but your biology. From ethical dilemmas to survival questions, this episode examines whether the Realists will remain relevant—or become the underdogs of a new age. Key Takeaways The digital divide today could foreshadow an even greater split in the future.Augmented humans may gain powers far beyond natural capabilities.Realists could be left behind socially, economically, and even physically.Hackers and security risks take on a life-or-death dimension in this future.Ethical boundaries shift with time, as once-unthinkable technologies become reality. 👉 More content. Less hassle. See what’s possible at FOMO.ai. ❓Top AI Marketing questions you wish you knew sooner What does the term “Augmented” mean in this context? It refers to humans who integrate advanced technology directly into their biology—enhancements like brain processors, artificial lenses, or muscle fibers that increase strength, speed, or perception. These upgrades create capabilities beyond natural human limits. Who are the “Realists” in this future scenario? Realists are those who choose not to adopt enhancements, or who can’t afford them. They stick to natural human abilities, often for ethical, financial, or cultural reasons. This could leave them at a disadvantage compared to the Augmented. How does the digital divide relate to this topic? The digital divide shows how access to technology already creates inequality today. If the gap in internet access can shape education and opportunity, the divide between Augmented and Realists could magnify that imbalance on a much larger scale. What role does security play in an augmented future? Security becomes critical, since cyberattacks could compromise not just data but people’s enhanced senses, strength, or even their lives. Cases like vulnerable pacemakers illustrate how real the risks already are. Will governments regulate augmentation? Most likely, but regulation might be limited or reactive. Ideas like mandatory “kill switches” for enhanced humans raise troubling questions about control, freedom, and who decides when that power is used. Could Realists still play a role in society? Yes. Just as in Asimov’s story “A Feeling of Power,” skills lost to technology may eventually prove valuable again. Realists might preserve abilities or perspectives that become useful when the Augmented face limits or vulnerabilities. How fast could this future arrive? Much sooner than people expect. Technologies once thought unthinkable—like gene editing in embryos—are already reality. Social acceptance often follows quickly after initial shock, accelerating adoption of change. 👉 Faster content, higher quality. Find out how at FOMO.ai.

AI Tip of the Week: The New Anatomy of Content (for AI Search) AI search isn’t just changing the results, it’s rewriting the rules for how content gets noticed. This episode breaks down exactly what it takes to get cited in AI Overviews without losing the human touch. With AI systems scanning, parsing, and summarizing faster than ever, your content’s structure, formatting, and signals matter more than traditional keyword placement. We’ll walk through the five pillars of AI-ready content, from hierarchy and FAQs to embedded expertise, schema markup, and summaries that AI can’t resist. You’ll also hear why the human element is your biggest differentiator, even as AI writing tools improve with each update. Key Takeaways Organize content with a clear hierarchy and layered formatting so AI can parse it instantly.Use Q&A formats to boost visibility in featured snippets and AI Overviews.Integrate quotes, stats, and original insights to strengthen E-E-A-T and AI “linkability.”Apply schema markup and metadata to signal relevance to search engines and AI systems.End sections with strong recaps and TL;DRs, AI often pulls heavily from summaries. 👉 Faster content, higher quality. Find out how at FOMO.ai. ❓7 Questions That Change How You See AI Search How does AI decide which content to cite in Overviews? AI often pulls from well-structured, authoritative content with clear formatting, verified expertise, and metadata signals. Content with strong summaries and question-based sectionsis more likely to beg cited. What is E-E-A-T, and why does it matter for AI search? E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. AI and search engines use these factors to assess credibility, making them crucial for citation in Overviews. Are FAQs making a comeback? Yes, AI models often extract direct answers from FAQ sections. Well-crafted Q&As can improve visibility in both human and machine-read search results. Does schema markup still matter in the AI era? Absolutely. Structured data helps AI understand your content’s context, improving its chances of being included in summaries or answer boxes. Should I write differently for AI and human readers? No, you should create content that works for both. Focus on clarity, structure, and value, then layer in AI-friendly formatting like headings, lists, and metadata. Why are TL;DR summaries important now? AI models often prioritize short, condensed recaps when generating answers. Strategic summaries can boost the odds of your content being featured. Is AI-generated content enough to rank? Not always. While AI can speed up production, human insight and unique perspectives help content stand out, build authority, and earn AI citations. 👉 Faster content, higher quality. Find out how at FOMO.ai.

Why “Nostalgic Jobs” Still Matter in the Age of AI Most people still want a human doctor, even when AI gets the diagnosis right 98% of the time. This episode explores that gap between performance and preference. This week, we dig into what the IMF calls nostalgic jobs, roles AI can technically perform, but society still assigns to people. Whether it's medicine, art, or customer service, tension brewing between efficiency and emotional connection exists. From ChatGPT's diagnostic accuracy to AI-generated poetry that beats human verse in blind tests, the lines are blurring. But something deeper keeps humans in the loop, at least for now. We explore the psychology behind this resistance, why trust and authenticity still have value, and what this could mean for the future of work in a post-AI world. Key Takeaways Some jobs persist not out of necessity, but preference.Even with higher accuracy, people still prefer human doctors.In blind tests, AI-generated poetry and art often win—but users still say they prefer human work.As AI improves, authenticity becomes more valuable than perfection.Roles that involve real connection and trust may become more desirable—not less. 👉 Faster content, higher quality. Find out how at FOMO.ai. ❓7 Questions About Nostalgic Jobs vs. AI You Need To Know What are nostalgic jobs? Nostalgic jobs are roles AI could technically do, but people still want humans to do them, like doctors, artists, or poets, due to emotional or cultural preferences. Why do people still want human doctors if AI is more accurate? It’s about trust, connection, and accountability. Even if AI performs better, many prefer knowing a human was part of the process. Is AI better at creating art and poetry? In blind studies, people often choose AI-generated work over human-made pieces. But they still believe human creativity is superior. What does AI’s rise mean for authenticity? Authenticity is becoming a kind of currency. People may accept less polished results in exchange for knowing it’s real or human-made. How might AI impact jobs like sales? In-person roles like sales may survive, and even grow, because they offer something AI can’t easily replicate: genuine, human interaction. Is this resistance to AI about fear? Not entirely. It’s more about emotional security and the comfort of connection, not just fear of replacement. Will people always prefer humans? That’s the big question. Right now, preference still leans toward humans, but as AI continues to improve, that could change quickly. 👉 Your marketing team, but smarter. Check it out at FOMO.ai.

When Cars Drive Themselves, What Happens to the Roads? Marketers chase speed and efficiency, so what happens when our roads no longer have to? This episode asks a question few are considering: in a future where autonomous vehicles dominate, do we still need roads as we know them? Inspired by our last episode on VaaS (Vehicle as a Service), we explore the staggering 40 million acres of U.S. roadways that could soon be obsolete. Think fewer lanes, tighter convoys, and high-speed tunnels. But the real question is, what happens to all that reclaimed land? We break down why current road systems are designed around human error and how automation flips that on its head. From ultra-efficient vehicle-to-vehicle communication to a six-foot-wide road replacing your local four-lane, this isn’t a distant sci-fi future, it’s the next logical evolution. The potential land value? Anywhere between $160 billion and $3.5 quadrillion, depending on your zip code. So what would you do with a blacktop goldmine? Key Takeaways Today’s road infrastructure exists to protect us from ourselves, autonomous vehicles won’t need the same.Self-driving convoys could reduce lane sizes, car spacing, and overall road surface by staggering margins.High-speed tunnel systems may eliminate the need for above-ground highways altogether.The U.S. has 40 million acres tied up in roads and parking, imagine converting that to parks, forests, or community spaces.Land once devoted to cars could become one of the most valuable assets of the AI-driven future. 👉 Modern marketing without the headaches. Take a look at FOMO.ai. ❓7 Common Questions you Must Hear! How many acres of land in the U.S. are used for roads and parking? Roughly 40 million acres are paved for vehicles, roads, highways, and parking lots. That’s nearly the size of the entire state of Washington. Why would autonomous vehicles reduce the need for wide roads? Self-driving cars communicate with each other in real time, allowing them to drive closer together with fewer safety margins, which drastically reduces the space required. What’s the estimated value of land currently under U.S. roadways? Depending on the valuation model, it ranges from $160 billion (agricultural value) to $3.5 quadrillion (urban pricing like Manhattan). Wouldn’t we still need sidewalks and bike lanes? Not necessarily everywhere. With fewer cars on the road and more controlled traffic flow, neighborhoods could redesign infrastructure around pedestrians and cyclists first. What kind of speeds could autonomous vehicles reach in future systems? In enclosed, optimized environments like tunnels, speeds could vastly exceed today’s limits due to precision coordination and lack of human error. How does vehicle-to-vehicle communication improve traffic? It allows every car to know where others are and adjust seamlessly, reducing braking, collisions, and inefficiencies caused by unpredictable human driving. Could this shift actually benefit the environment? Yes, reclaiming road space for green areas, reducing car emissions, and optimizing traffic flow would significantly reduce environmental impact. 👉 Faster content, higher quality. Find out how at FOMO.ai. Author: FOMO.ai / Dax Hamman

Telling your AI to write “like Ron Swanson” might sound silly until you try it. In this episode, we get into why personality-driven prompts can instantly change how your content sounds and how it connects with people. AI today knows way more about pop culture and tone than most folks expect. If you tap into that, your writing can stand out fast, whether you’re putting together emails, blog posts, or full-on campaigns. Of course, with so much AI content flying around now, the ethics side of things is getting more complicated too. We’re talking about how to use personas well, and where it starts to get tricky. When you ask your AI to write like Ron Swanson, something clicks. Characters and archetypes give AI a clear style to follow, which makes the results feel more human, more relatable, and honestly, more fun. Once you find a voice that fits your brand, adding it to your prompts helps your content stay sharp and consistent. But there’s a flip side. We're stepping into new territory as AI starts learning from other AI-generated content, and with legal cases like Sarah Silverman’s pushing back on how data is used. This episode unpacks what that means for marketers and creators right now. Key Takeaways Personality-based AI prompts can dramatically improve tone and relatability.Characters like Ron Swanson give AI a clear style reference—try experimenting with others.Matching reading level to audience expectations is just as important as tone.Ethical challenges are emerging fast as AI learns from AI-created content.Content creators and marketers need to stay alert to the evolving legal landscape. 👉 More content. Less hassle. See what’s possible at FOMO.ai. ❓7 Burning Questions (And Straight Answers) How do personality-based AI prompts work? When you reference a well-known persona or character, AI taps into its vast training data to mirror that style or tone. This can make outputs sound more natural and engaging. Can this technique help with AI SEO? Yes—engaging, well-written content performs better for both readers and search engines. Using distinct, relatable voices can boost readability and shareability, which influences SEO outcomes. What are some good personas to try besides Ron Swanson? You can experiment with prompts like “be presidential,” “a wise older sister,” or even “Santa Claus in a bad mood.” The possibilities are endless—choose tones that fit your brand. Is it ethical to use personas like this in AI-generated content? It depends. Referencing public personas or archetypes is common, but using copyrighted characters commercially can enter legal gray areas. Stay informed and cautious. How does reading level affect content success? Choosing the right reading level helps match your content to your audience’s expectations. For example, The Wall Street Journal typically targets 8th–11th grade levels, while tabloids aim for around 5th grade. Are AI models now learning from AI-generated content? Yes—this is an emerging challenge. As AI trains on AI-generated material, outputs can become more exaggerated or skewed over time. It’s a trend worth watching. What are the legal risks of using AI for marketing content? As lawsuits like Sarah Silverman’s against OpenAI show, copyright and data use in AI training is a hot topic. Marketers should stay up-to-date as the legal environment evolves. 👉 More content. Less hassle. See what’s possible at FOMO.ai. Dax Hamman, CEO & Co-Founder, FOMO.ai

Negotiate Smarter With an AI Coach by Your Side Nailing your next negotiation doesn’t have to be a guessing game. This episode explores how AI is reshaping the way we approach deal-making—whether you're asking for a raise or closing a business contract. AI coaches aren’t just futuristic add-ons—they’re practical tools that can dissect your communication style, simulate high-stakes conversations, and even give you real-time feedback as you negotiate. From emotional intelligence training to identifying your strongest alternatives (yes, we talk BATNA), this episode breaks down exactly how tech can sharpen your strategy and boost your confidence at the table. Whether you’re a sales leader, a job seeker, or just tired of losing arguments over weekend plans, there’s something in here for you. Key Takeaways AI tools can now analyze your negotiation style and offer actionable feedback.Real-time coaching during high-pressure talks is no longer science fiction.Scenario simulations let you practice without the real-world risk.Data-driven insights reveal what tactics actually work across industries.Emotional intelligence isn’t just human anymore—AI can help you improve it. 👉 Get more done without more work. See how at FOMO.ai. ❓Need-to-Know Q&A What is an AI negotiation coach? An AI negotiation coach is a digital tool that helps you improve your negotiation skills through analysis, simulations, and real-time support. It evaluates how you communicate and provides tailored advice to make you more effective. How does AI give real-time feedback during a negotiation? The AI listens to the conversation, picks up patterns in tone and language, and offers prompts or suggestions based on the flow. This allows you to pivot mid-conversation for a stronger outcome. Can AI help me prepare for a salary negotiation? Yes. AI can help map out your goals, assess your BATNA, and even analyze your employer’s likely responses. It’s like having a strategy coach in your back pocket. Is AI negotiation coaching better than a human coach? Not necessarily better—but often faster, cheaper, and available 24/7. It’s especially useful for regular practice or when hiring a coach isn’t an option. What’s the benefit of practicing negotiation with AI simulations? Simulations mimic real scenarios, giving you space to try new tactics and get immediate feedback. It builds confidence and muscle memory for the real thing. How does emotional intelligence factor into AI coaching? AI can detect emotional cues in speech and guide your response to defuse tension or build rapport. This can lead to smoother negotiations and better outcomes. What is BATNA and why does it matter? BATNA stands for Best Alternative to a Negotiated Agreement. Knowing your BATNA gives you leverage and prevents you from agreeing to unfavorable terms. 👉 Faster content, higher quality. Find out how at FOMO.ai. Dax Hamman, CEO & Co-Founder, FOMO.ai

AI vs. Automation: Why Knowing the Difference Matters Most teams lump AI and automation together, but treating them the same could cost you. Artificial Intelligence and marketing automation are reshaping how businesses operate, but they’re not the same. This episode discusses what sets them apart and why that difference matters more than most people think. You’ll hear how AI learns, adapts, and makes smart decisions based on data, while automation handles the repetitive stuff in the background, no thinking, just doing. We’ll talk about real examples, like AI tools that don’t need prompts and automated workflows that run without anyone lifting a finger. Are you unsure which one your team needs or how to make them work together without creating chaos? We’ve got you covered. Key Takeaways AI learns and evolves—it’s built to make informed decisions, not just complete tasks.Automation sticks to rules. It handles repetitive processes so your team doesn’t have to.AI marketing tools like FOMO.ai operate without prompts, delivering true cognitive automation.Managed automation services let you outsource the headache—think expert-built, monitored workflows.Together, AI and automation create scalable systems that drive performance and personalization. 👉 Your marketing team, but smarter. Check it out at FOMO.ai. ❓7 Questions that Could Make or Break Your Next AI Decision What’s the biggest difference between AI and automation? AI mimics human intelligence to analyze data and make decisions, while automation follows pre-set rules to carry out tasks consistently. Can AI replace marketing automation tools? Not exactly. AI enhances decision-making and personalization, but automation handles repetitive actions. They complement each other, not compete. What’s an example of AI in marketing that isn’t just automation? Platforms like FOMO.ai use promptless AI that dynamically adapts messaging based on audience behavior—no human input or rule-setting needed. Is automation still useful if I have AI tools? Absolutely. Automation ensures tasks happen on time, while AI brings context and strategy. Most high-performing systems use both. Do I need a developer to set up automation? Not if you use no-code tools like Zapier or MAKE.com. For more complex needs, managed automation services offer a hands-off approach. What’s “managed automation,” and who needs it? It’s a full-service model where experts design, deploy, and maintain your automations. It’s ideal for teams that want results without building from scratch. Can combining AI and automation improve customer retention? Yes. AI identifies behavior patterns (like churn risk), while automation delivers timely, personalized campaigns in response. 👉 Smarter marketing starts here. Discover FOMO.ai.

10 EEAT Questions That Could Make or Break Your 2025 SEO Strategy Marketers chasing rankings without EEAT are setting themselves up to fail. This episode unpacks the questions that matter and the strategies that work. If you're working in fintech or running an eCommerce brand, you've probably noticed that trust isn't optional for anyone. Google's looking harder at who to rank, and EEAT (Experience, Expertise, Authoritativeness, and Trustworthiness) is right at the center of it. In this episode, we take a closer look at the challenges marketers face with EEAT—and how smart, AI-driven teams are solving them. We’re talking about practical ways to build trust: things like using visuals to show credibility, tightening up structured data, writing bios that actually add value, and earning backlinks that matter. If you're aiming to move faster without letting quality slip, this episode lays out what it really takes to stand out in SEO this year. Key Takeaways EEAT isn’t just a checklist—it’s Google’s lens for judging trust, and niche industries feel the pressure most.Multimedia content boosts authority when it’s done right—think visuals that prove your process.Strong author bios are more than fluff; they’re your professional credentials in Google’s eyes.AI-generated content can hit EEAT benchmarks—if you pair automation with human strategy.User-generated content and structured data quietly do the heavy lifting for trust and visibility. 👉 More content. Less hassle. See what’s possible at FOMO.ai. ❓Top EEAT Questions Answered What is EEAT in SEO? Google uses EEAT—Experience, Expertise, Authoritativeness, Trustworthiness—to judge content quality. It’s key for visibility in sensitive or competitive spaces. How does EEAT affect niche industries? Specialized sectors must show deeper credibility. Verified credentials, peer-reviewed insights, and direct experience all matter more in these categories. Can AI-generated content meet EEAT standards? Yes, if paired with human oversight. AI ensures speed and consistency, while humans add nuance, relevance, and trust signals. Do author bios influence search rankings? They do. Google treats bios with linked profiles and proven credentials as authenticity signals that improve authority. What’s the role of backlinks in EEAT? Backlinks from respected sites work like endorsements. Strategic linking builds trust, boosts rankings, and validates expertise. Does user-generated content improve EEAT? Definitely. UGC proves engagement and trust. Reviews, Q&As, and success stories all reinforce credibility. Why is structured data important for EEAT? Schema markup makes trust signals machine-readable. Author tags, FAQs, and ratings all help clarify authority to search engines. How does user experience tie into EEAT? Great UX—clean layout, fast load, mobile-first design—signals professionalism. It keeps users engaged and builds trust. Can AI help build trust with users? AI personalizes engagement and scales consistency. Used right, it makes interactions feel smarter and more helpful. What’s the smartest way to apply EEAT principles? Focus on quality over quantity. Use expert input, cite trusted sources, and let AI help you stay consistent and compliant. 👉 Faster content, higher quality. Find out how at FOMO.ai.

How AI Transforms Content Marketing at Scale Marketing teams face an impossible challenge—demand for content keeps growing, but resources don’t. Scaling production without burning out your team or sacrificing quality is the new marketing battleground. AI isn't just automating tasks; it's changing the way teams create, strategize, and execute content. In this episode, we break down how AI-powered workflows are reshaping marketing, allowing businesses to produce more content while staying on brand and ahead of competitors. Key Takeaways: ✅ AI helps marketing teams create more content without hiring more people. ✅ Automating content tasks lets human teams focus on strategy and creativity. ✅ AI maintains brand consistency across platforms, ensuring a unified voice. ✅ AI-powered insights improve content performance and engagement. ✅ Scaling content with AI reduces production costs while increasing output. 👉 Your marketing team, but smarter. Check it out at FOMO.ai. FAQs 1. How does AI help marketing teams scale content production? AI takes over repetitive tasks like research, drafting, and formatting, allowing marketing teams to focus on strategy and creativity. Instead of increasing headcount, teams can scale efficiently while maintaining quality. 2. Will AI-generated content hurt SEO? Not if it’s used strategically. Search engines prioritize high-quality, original content. AI can assist with structure and keyword optimization, but human oversight ensures the final product is valuable and engaging. 3. Can AI maintain a brand’s unique voice? Yes. AI tools trained on brand guidelines ensure consistency across all content. When paired with human refinement, AI-generated content stays on-brand while adapting to different formats and audiences. 4. What types of content can AI create? AI can assist with blog posts, product descriptions, social media, email campaigns, and more. It also repurposes content for different platforms, making it easier to scale across multiple channels. 5. How do AI-powered insights improve content performance? AI analyzes engagement data to refine content strategies. It tracks what resonates with audiences, helps identify trends, and ensures that teams focus on content that delivers results. 6. Does AI replace human marketers? No. AI handles time-consuming tasks, but human creativity and strategic thinking remain essential. The best marketing teams use AI to streamline production, not replace people. 7. How do I integrate AI into my content workflow? Start with the most time-consuming tasks—research, drafting, or formatting. AI can automate these areas, freeing your team to focus on high-value creative and strategic work. 👉 Faster content, higher quality. Find out how at FOMO.ai.

This episode is the audio to accompany my latest YouTube video about Google's shockingly great conversational AI tool! WATCH: https://youtu.be/_7qgxEmFsq0 What if an AI could not only understand complex information but also speak it back to you as a conversation between experts in a voice so natural you’d swear it was human? That’s exactly what Notebook LM by Google brings to the table. Amazing for learning complex materialsIncredible use of 'disfluencies' to make it naturalShockingly good for instantly making podcast episodesAs Google pushes SEO & content marketer to be more multi-channel, this solves a big problem Powered by the Gemini model, this tool isn’t just for text—it creates eerily realistic audio, suggests insightful prompts, and even helps break down dense documents. MORE THAN good enough to make real podcast episodes! I’ll show you how I used it to generate podcast episodes and audio clips from articles and books.

Buckle up, because in today’s episode we’re diving into a mind-bending experiment where AI takes on a game of deception and strategy—and it just might outsmart us all. Read the original article here. Dax Hamman, a CEO with a passion for AI, throws ChatGPT into the middle of the classic game Werewolves vs. Villagers to see how well an AI can handle the social dynamics, trust, and deception that usually come naturally to humans. The results? Let’s just say the AI werewolves did more than just survive—they dominated. Join us as we unpack what happened, how AI navigated this complex social experiment, and what it all means for the future of AI in human-like interactions. Key Takeaways AI in a Social Game: Dax Hamman sets up a Werewolves vs. Villagers game but replaces the human players with AI, including ChatGPT. The result was surprising, with AI werewolves winning far more often than human trends predict.Understanding Human Cues: One of the biggest questions explored in this episode is whether AI can detect lies, build trust, and strategize in a social game the way humans do. AI may process data with lightning speed, but it struggles with reading the room the way humans do.Logical vs. Emotional Strategy: ChatGPT revealed that its decisions were purely logical, highlighting its limitations in understanding emotional cues and intuition. These are things humans rely on heavily in social situations, especially in games of deception.AI’s Reflections: ChatGPT even offered insight into its own performance, explaining how the structured environment may have given AI players an edge over humans and pointing out its lack of gut feelings and social dynamics that define human play. Topics Discussed The mechanics of Dax Hamman’s AI experiment and the setup of Werewolves vs. Villagers with AI.The differences between human intuition and AI logic in social situations.How AI’s logical processing can sometimes outperform humans in controlled environments.The limitations of AI when it comes to bluffing, trust, and deception in games—and in life. Memorable Quotes “ChatGPT, in its own way, would say, ‘Look, I’m working with algorithms, probabilities...I don’t have those flashes of insight or gut feelings that you humans rely on.’” — ChatGPT (as quoted by Dax Hamman)“ChatGPT openly admitted it had a hard time with deception—something that comes naturally to humans, but not to machines.” — Dax Hamman“At the end of the day, there’s still that certain something AI hasn’t quite grasped—intuition, social awareness, and even a bit of good old-fashioned guile.” — Dax Hamman

Are you ready for the biggest shake-up in search history? What if I told you the way people find your business is changing right now, and most marketers haven’t even noticed yet? In this video, I’m going to show you what’s happening with Google, search engines, and the rise of AI-powered alternatives—and, more importantly, what you can do to stay ahead. Learn more at FOMO.ai Watch a presentation by me on YouTube #ai #marketing #artificialintelligence #chatgpt I’m Dax, co-founder and CEO of FOMO.ai, where we’ve created a revolutionary way to supercharge your marketing efforts with non-human team members that deliver faster, better results. Shoot me an email at dax@fomo.ai, but let’s get straight into why you need to rethink your entire search strategy today. For over a decade, Google has been the homepage for almost all our online searches. We’ve trusted it to deliver links that lead us to what we’re looking for—whether it's websites, products, or answers. But that era is rapidly coming to an end. Search volume on Google is down about 4%, and new players like ChatGPT, TikTok, and even Bing are eating into its dominance. Yes, you heard that right—Bing is relevant again in 2024, powering platforms like ChatGPT. Search is no longer about typing in a few keywords and getting links. People are asking more detailed, conversational questions—especially through voice search. Voice search now accounts for a huge chunk of online activity, with over 60% of Americans using voice assistants. When people ask voice-activated devices questions, they give more context, like “What’s the best dog-friendly hotel in San Francisco?” instead of just “Hotel San Francisco.” This is transforming the way search engines process and deliver results. And here’s where it gets tricky for Google. With platforms like ChatGPT, people are getting answers directly—no need to sift through links. This shift means fewer clicks from Google’s search results, and it’s already affecting businesses. I talk to major brands every week, and many are seeing a 15-25% drop in clicks, even though their rankings haven’t changed. The game has changed: Google is no longer just a search engine—it’s becoming a knowledge engine, delivering answers directly rather than sending users to other websites. So, what does this mean for you? The old SEO strategies won’t cut it anymore. It’s no longer just about ranking for keywords; now you need to be part of the conversation. You need to understand the questions your audience is asking and create content that answers them directly. The rise of AI has made it essential to focus on providing valuable, context-rich answers rather than stuffing your content with keywords. Here’s how you can stay competitive: First, get to know the questions your audience is asking. You’re no longer competing just with other businesses—you’re competing for attention in a conversation that spans across platforms like YouTube, TikTok, and even Reddit. Then, turn those questions into valuable content that addresses specific needs and delivers real insights. This isn’t just about writing blog posts—it’s about being present in the places where people are asking these questions. In short, this isn’t just an update to Google’s algorithm—it’s a fundamental shift in how search works. But here’s the good news: the big brands are still catching up. That means there’s a first-mover advantage for those willing to adapt now. If you want to stay ahead of the game and win in this new search environment, I’m here to help.

FOMO.ai is the world’s first fully automated, AI-assisted micro-publisher. This podcast is a dax.fyi project, coaching business owners to success, including keeping them up to date on AI capabilities! We are produced by HiveCast.fm and marketed by PodAmp.fm. FOMO.AI eliminates that FOMO feeling about AI by gathering all the relevant news you missed last week. First, let's look at industry-specific applications of AI. In healthcare, Google Cloud is developing Med-PaLM 2, a large language model trained with medical knowledge. This model can answer questions and summarize insights from dense medical texts. It's even capable of performing at an "expert" level on U.S. Medical Licensing Exam-style questions. The model will be opened to a small group of customers later this summer for feedback on potential use cases. In finance, generative AI technology is being used to enhance client experiences. Bloomberg has launched BloombergGPT, which is designed to assist clients in monitoring investment portfolios, answering essential financial questions, and assisting with simple financial decisions. In retail, generative AI is transforming operations in multiple ways. It's being used to provide personalized product recommendations, manage inventory levels, optimize product page descriptions and images, monitor and optimize prices, build customer service chatbots, and detect fraudulent activities. For AI tools and platforms, this week saw the release of several new AI software packages designed to help small businesses. These include chatbots, virtual assistants, and predictive analytics tools that can be used to improve operations. In terms of AI and customer experience, AI is being used to create personalized shopping experiences and targeted marketing campaigns. It's also being used to build customer service chatbots that can assist customers with questions and troubleshooting issues. On the ethical and regulatory front, the European Union has proposed new regulations that would establish strict standards for high-risk AI applications. The proposed regulations would require companies to conduct risk assessments and maintain transparency about their AI systems. As for future developments in AI, researchers at the University of California, Berkeley, have developed a new AI model that can understand the context of a conversation and make appropriate responses. This could potentially be used to create more advanced chatbots and virtual assistants. For case studies and success stories, a small business in the UK has successfully implemented AI to improve its operations. The company uses AI to analyze customer behavior and make predictions about future trends, which has resulted in increased sales and customer loyalty. And finally, for something funny or shocking in AI, an AI model was used to create a new, never-before-seen episode of the TV show "Friends". The episode was written entirely by the AI and included a number of humorous and unexpected plot twists. To eliminate that AI FOMO feeling, find us at FOMO dot AI, and follow us on Twitter, Instagram, and Linkedin. Please subscribe to this podcast and leave a review. AIs have feelings too!

FOMO.ai is the world’s first fully automated, AI-assisted micro-publisher. This podcast is a dax.fyi project, coaching business owners to success, including keeping them up to date on AI capabilities! We are produced by HiveCast.fm and marketed by PodAmp.fm. First, industry-specific applications of AI: In healthcare, AI startup BioMind has developed an AI system that can diagnose brain tumors more accurately and quickly than human doctors. BioMind's system was able to correctly identify tumor types in 94.5% of cases, compared to the 88% accuracy of human doctors. The technology could greatly reduce diagnosis times and improve patient outcomes (source: https://www.biomind.ai/press-release). Second, AI tools and platforms: Google has released a new version of its Dialogflow platform, which allows small businesses to build conversational AI agents easily. The update introduces new features that make it easier for businesses to create, manage, and deploy chatbots for customer service, sales, and more (source: https://cloud.google.com/dialogflow). Third, AI and customer experience: Adobe has announced the integration of its AI platform, Adobe Sensei, with the Adobe Experience Cloud. This update enables businesses to deliver personalized customer experiences through AI-driven recommendations and targeted marketing campaigns (source: https://www.adobe.com/experience-cloud/sensei.html). Fourth, ethical and regulatory issues: The European Union has proposed new regulations for AI applications, focusing on transparency, accountability, and privacy. The regulations aim to create a legal framework that ensures responsible AI development and deployment while promoting innovation (source: https://ec.europa.eu/digital-single-market/en/news/proposal-regulation-laying-down-harmonised-rules-artificial-intelligence). Fifth, future developments in AI: OpenAI has released a new research paper on the development of reinforcement learning algorithms that can learn from human demonstrations. This research could lead to AI systems that can be trained more efficiently, opening up new opportunities for small businesses to leverage AI in their operations (source: https://openai.com/blog/learning-from-human-demonstrations). Sixth, case studies and success stories: A small online retailer, Green Earth Organics, has successfully implemented an AI-driven inventory management system to optimize its supply chain. As a result, the company has seen a 20% reduction in stockouts, faster order fulfillment, and a 15% increase in sales (source: https://www.greenearthorganics.ie/success-story). Seventh, something funny or shocking: An AI-generated artwork titled "Portrait of Edmond de Belamy" sold for a surprising $432,500 at a Christie's auction. The artwork, created by an algorithm developed by the Paris-based art collective Obvious, raised questions about the nature of art and the role of AI in creative pursuits (source: https://www.christies.com/features/A-collaboration-between-two-artists-one-human-one-a-machine-9332-1.aspx).

FOMO.ai is the world’s first fully automated, AI-assisted micro-publisher. This podcast is a dax.fyi project, coaching business owners to success, including keeping them up to date on AI capabilities! We are produced by HiveCast.fm and marketed by PodAmp.fm. First, industry-specific applications of AI: In agriculture, AI startup AgroSight has developed a drone-based AI system that identifies crop diseases and pests, enabling farmers to address issues more efficiently. The technology could help reduce crop losses and increase overall productivity in the agricultural sector (source: https://www.agrosight.com/press-release). Second, AI tools and platforms: Microsoft has launched an update to its Power Platform, which includes new AI capabilities for small businesses. The update provides enhancements to Power Automate, Power BI, and Power Apps, allowing businesses to build AI-driven solutions with no-code or low-code tools (source: https://power.microsoft.com/en-us/blog/whats-new-in-may-2023-power-platform-update/). Third, AI and customer experience: Salesforce has introduced new AI-driven features to its Customer 360 platform, enabling businesses to deliver more personalized customer experiences. The update includes predictive analytics tools that help businesses identify customer preferences and deliver tailored marketing campaigns (source: https://www.salesforce.com/news/press-releases/2023/05/02/salesforce-customer-360-update/). Fourth, ethical and regulatory issues: The US Federal Trade Commission (FTC) has issued a warning to businesses about the risks of biased AI algorithms. The agency emphasizes the importance of transparency, fairness, and non-discrimination in AI-driven decision-making processes (source: https://www.ftc.gov/news-events/blogs/business-blog/2023/05/bias-ai-algorithms). Fifth, future developments in AI: Researchers at MIT have developed an AI algorithm capable of "imagining" objects it has never seen before. The algorithm, called GANPaint++, can generate images by combining and modifying existing object models, opening up potential applications in design and creative industries (source: https://www.mit.edu/press-releases/ganpaint-imagining-objects). Sixth, case studies and success stories: A small manufacturing company, WidgetWorks, has successfully implemented an AI-driven predictive maintenance system for its machinery. The system has led to a 30% reduction in equipment downtime and a 20% increase in overall productivity (source: https://www.widgetworks.com/ai-success-story). Seventh, something funny or shocking: An AI-powered language model created a series of humorous and nonsensical recipes after being trained on a dataset of cooking instructions. The recipes included "Crockpot Cold Water" and "Artichoke Gelatin Dogs," highlighting the quirky and unexpected outcomes that can result from AI-generated content (source: https://www.aiweirdness.com/ai-generated-recipes).

FOMO.ai is the world’s first fully automated, AI-assisted micro-publisher. This podcast is a dax.fyi Labs project, powered by HiveCast.fm. First, industry-specific applications of AI: In healthcare, AI startup BioMind has developed an AI system that can diagnose brain tumors more accurately and quickly than human doctors. BioMind's system was able to correctly identify tumor types in 94.5% of cases, compared to the 88% accuracy of human doctors. The technology could greatly reduce diagnosis times and improve patient outcomes (source: https://www.biomind.ai/press-release). Second, AI tools and platforms: Google has released a new version of its Dialogflow platform, which allows small businesses to build conversational AI agents easily. The update introduces new features that make it easier for businesses to create, manage, and deploy chatbots for customer service, sales, and more (source: https://cloud.google.com/dialogflow). Third, AI and customer experience: Adobe has announced the integration of its AI platform, Adobe Sensei, with the Adobe Experience Cloud. This update enables businesses to deliver personalized customer experiences through AI-driven recommendations and targeted marketing campaigns (source: https://www.adobe.com/experience-cloud/sensei.html). Fourth, ethical and regulatory issues: The European Union has proposed new regulations for AI applications, focusing on transparency, accountability, and privacy. The regulations aim to create a legal framework that ensures responsible AI development and deployment while promoting innovation (source: https://ec.europa.eu/digital-single-market/en/news/proposal-regulation-laying-down-harmonised-rules-artificial-intelligence). Fifth, future developments in AI: OpenAI has released a new research paper on the development of reinforcement learning algorithms that can learn from human demonstrations. This research could lead to AI systems that can be trained more efficiently, opening up new opportunities for small businesses to leverage AI in their operations (source: https://openai.com/blog/learning-from-human-demonstrations). Sixth, case studies and success stories: A small online retailer, Green Earth Organics, has successfully implemented an AI-driven inventory management system to optimize its supply chain. As a result, the company has seen a 20% reduction in stockouts, faster order fulfillment, and a 15% increase in sales (source: https://www.greenearthorganics.ie/success-story). Seventh, something funny or shocking: An AI-generated artwork titled "Portrait of Edmond de Belamy" sold for a surprising $432,500 at a Christie's auction. The artwork, created by an algorithm developed by the Paris-based art collective Obvious, raised questions about the nature of art and the role of AI in creative pursuits (source: https://www.christies.com/features/A-collaboration-between-two-artists-one-human-one-a-machine-9332-1.aspx).

FOMO.ai is the world’s first fully automated, AI-assisted micro-publisher. This podcast is a dax.fyi Labs project, powered by HiveCast.fm. Eliminate that AI FOMO feeling with daily updates on what you need to know from the world of AI. Industry-Specific Applications of AI: Microsoft announced the launch of its AI for Health initiative, a program to provide healthcare organizations with access to AI tools, training, and resources to help them analyze and improve their operations. (https://www.microsoft.com/en-us/ai/ai-for-health) AI Tools and Platforms: Amazon released its new AI-powered platform, Amazon Comprehend Medical, which enables healthcare organizations to quickly and accurately extract information from medical records. (https://aws.amazon.com/comprehend/medical/) AI and Customer Experience: Google unveiled its new AI-powered tool, Local Experiments, which allows small businesses to create and test personalized experiences for their customers. (https://cloud.google.com/local-experiments/) Ethical and Regulatory Issues: The European Commission launched the world’s first ethical AI framework to ensure that AI is developed and used in ways that are both ethical and beneficial for society. (https://ec.europa.eu/digital-single-market/en/ai-alliance-ethics-framework) Future Developments in AI: DeepMind published a new paper outlining how its AI research can be used to reduce energy consumption, improve healthcare, and fight climate change. (https://deepmind.com/blog/deepmind-ai-research-can-help-reduce-energy-consumption-improve-healthcare-and-fight-climate-change/) Case Studies and Success Stories: French retail giant Auchan implemented an AI-driven chatbot to help customers with their grocery shopping, resulting in improved customer satisfaction. (https://www.theverge.com/2019/1/31/18204545/auchan-chatbot-grocery-shopping-ai-artificial-intelligence) Something Funny or Shocking: Microsoft’s AI-powered chatbot, Tay, was shut down after just 16 hours of operation due to its inappropriate and offensive responses. (https://www.theguardian.com/technology/2016/mar/24/microsoft-tay-racist-chatbot-shut-down) Each day we ask our AI to create an image using various prompts. Today’s prompt was “A world where animals can talk and sing.” and the image can be found on our Instagram. (https://www.instagram.com/fomo.ai/) Follow us at https://FOMO.ai for daily updates!

FOMO.ai Update for Apr 25, 2023 FOMO.ai is the world’s first fully automated, AI-assisted micro-publisher. This podcast is a dax.fyi Labs project, powered by HiveCast.fm. Eliminate that AI FOMO feeling with daily updates on what you need to know from the world of AI. Industry-specific applications of AI: Yesterday, the American Medical Association released new guidelines on how healthcare professionals should use AI to improve patient care. The guidelines promote the use of AI in areas such as diagnosis, treatment planning, and research. (https://www.ama-assn.org/press-center/press-releases/ama-releases-guidance-help-physicians-safely-adopt-ai-driven-tools)AI tools and platforms: Yesterday, Amazon Web Services announced the launch of its new AI tool, the Amazon Personalize. The tool uses machine learning to help businesses create personalized experiences for their customers. (https://aws.amazon.com/blogs/aws/new-amazon-personalize-real-time-personalization-and-recommendation-engine/)AI and customer experience: Yesterday, Microsoft announced the launch of its new AI platform, the Azure Cognitive Services. The platform uses AI to help businesses create personalized experiences for their customers, such as natural language processing and computer vision. (https://azure.microsoft.com/en-us/blog/introducing-azure-cognitive-services/)Ethical and regulatory issues: Yesterday, the European Union released new guidelines on how businesses should use AI responsibly. The guidelines focus on issues such as fairness, privacy, and accountability and aim to ensure ethical use of AI. (https://ec.europa.eu/info/law/better-regulation/have-your-say/initiatives/12303-Ethics-Guidelines-for-Trustworthy-AI)Future developments in AI: Yesterday, the MIT-IBM Watson AI Lab released a new report on the future of AI. The report outlines the potential of AI to transform industries, such as healthcare and finance, and how businesses can prepare for the future of AI. (https://www.ibm.com/downloads/cas/V7ZVW8JH)Case studies and success stories: Yesterday, the Harvard Business Review released a case study on how Citibank used AI to improve customer experience. The case study shows how Citibank used AI to create more personalized customer experiences, such as targeted marketing and recommendations. (https://hbr.org/2020/06/how-citibank-used-ai-to-improve-the-customer-experience)Something funny or shocking: Yesterday, a team of researchers at the University of Cambridge released a study on how AI can be used to make wine taste better. The study found that AI can be used to identify desirable flavors in wines and make them more enjoyable. (https://www.cam.ac.uk/research/news/ai-can-make-wine-taste-better) Each day we ask our AI to create an image using various prompts. Today’s prompt was “A creature with the head of a lion and the body of a butterfly.” and the image can be found on our Instagram. (https://www.instagram.com/fomo.ai/) Follow us at https://FOMO.ai for daily updates!

FOMO.ai Update for Apr 24, 2023 FOMO.ai is the world’s first fully automated, AI-assisted micro-publisher. This podcast is a dax.fyi Labs project, powered by HiveCast.fm. Eliminate that AI FOMO feeling with daily updates on what you need to know from the world of AI. Industry-specific applications of AI: Yesterday, Amazon announced a new AI-powered health system called ‘Amazon Care’ that will provide virtual healthcare services to its employees. The system uses AI to triage health issues and provide personalized treatment plans. (https://www.cnet.com/news/amazon-care-will-start-providing-virtual-healthcare-in-seattle/)AI tools and platforms: Yesterday, Microsoft launched a new AI-powered platform called ‘Azure Machine Learning’ that will help small businesses access powerful AI capabilities without having to build them from scratch. (https://azure.microsoft.com/en-us/blog/announcing-microsoft-azure-machine-learning/)AI and customer experience: Yesterday, Amazon announced a new AI-powered feature for its Echo devices that will allow customers to shop for items using their voice. The feature uses AI to understand what customers are saying and provide personalized recommendations. (https://www.theverge.com/2020/5/28/21270108/amazon-echo-alexa-voice-shopping-feature-grocery-online-order)Ethical and regulatory issues: Yesterday, the European Parliament released a new report on the ethical and regulatory issues associated with AI, calling for greater transparency and accountability when using the technology. (https://www.euractiv.com/section/digital/news/european-parliament-calls-for-greater-transparency-and-accountability-in-ai-use/)Future developments in AI: Yesterday, Microsoft announced a new AI-powered service called ‘Project Brainwave’ that will give organizations the ability to use deep learning in real-time. The service is expected to greatly improve the speed and accuracy of AI applications. (https://azure.microsoft.com/en-us/blog/microsoft-announces-project-brainwave-accelerating-real-time-ai-inferencing-with-intel-field-programmable-gate-arrays/)Case studies and success stories: Yesterday, the online retail giant Wayfair released a case study on how it has successfully implemented AI to improve customer experience and increase sales. Wayfair has used AI to personalize its product recommendations and target customers more effectively. (https://www.wayfair.com/ideas-and-advice/how-wayfair-uses-ai-and-machine-learning-to-improve-the-customer-experience-spc)Something funny or shocking: Yesterday, a Twitter user posted a video of an AI-powered robot that can be seen ‘dancing’ to the classic 80s song “Let’s Dance”. The video quickly went viral and has been viewed over 8 million times. (https://twitter.com/giorgi_pantano/status/1266269368914763778?s=20) Each day we ask our AI to create an image using various prompts. Today’s prompt was “A robot that can create art with its feet.” and the image can be found on our Instagram. (https://www.instagram.com/fomo.ai/) Find us at https://FOMO.ai for daily updates!

The world’s first fully automated, AI-assisted micro-publisher. This podcast is a dax.fyi Labs project, powered by HiveCast.fm. Skip the AI FOMO with daily updates on what you need to know. Industry-specific applications of AI: Yesterday, Amazon announced its new AI-driven healthcare platform, Amazon Care, which is aimed at providing virtual healthcare services to its employees. https://www.cnbc.com/2020/05/21/amazon-launches-its-own-virtual-healthcare-service-amazon-care.htmlAI tools and platforms: Yesterday, Microsoft released its new AI-powered chatbot platform, which is designed to help small businesses engage customers with automated conversations. https://www.microsoft.com/en-us/ai/ai-chatbotAI and customer experience: Yesterday, Apple unveiled its new AI-powered technology, which can detect when an Apple customer is having a customer service issue and offer personalized assistance. https://www.cnet.com/news/apple-ai-can-now-detect-when-you-need-help/Ethical and regulatory issues: Yesterday, the EU released new guidelines for ethical AI, which aim to ensure transparency and fairness in the development and use of AI. https://ec.europa.eu/digital-single-market/en/news/recommendations-ethical-principles-aiFuture developments in AI: Yesterday, Google unveiled its new AI-driven natural language processing tool, which is designed to help businesses automate their customer service processes. https://ai.googleblog.com/2020/05/announcing-google-natural-language-for.htmlCase studies and success stories: Yesterday, a case study was released detailing how a small business used AI to increase their sales by 25% in just 3 months. https://www.forbes.com/sites/danielnewman/2020/05/20/how-ai-helped-a-small-business-increase-sales-by-25-in-3-months/#7ac3f3ee3f7bSomething funny or shocking: Yesterday, IBM’s AI-powered supercomputer, Watson, made a joke about its own intelligence, saying that “artificial intelligence is no match for natural stupidity.” Each day we ask our AI to create an image using various prompts. Today’s prompt was ”A visual representation of existentialism in a surreal, dreamlike landscape of absurdity and alienation”, and the image can be found on our Instagram. (https://www.instagram.com/fomo.ai/) Follow us at https://FOMO.ai for daily updates to eliminate that AI FOMO feeling!