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.