Who Are You? (Klassic Kern)

A personal story about grandfather Raymond Smith, and the valuable lessons he learned from him about work ethic and success. Using his grandfather's 1983 Jeep Scrambler as a backdrop, Frank explores the importance of being someone truly impactful to your audience and customers. Episode Highlights Introduction: Frank introduces his grandfather, Raymond Smith, a self-made millionaire and former Jeep dealer with an eighth-grade education. The Jeep Scrambler: Frank showcases his grandfather's restored 1983 Jeep Scrambler, which holds deep personal value and serves as a reminder of his grandfather's legacy. Lessons in Hard Work: Frank recounts his teenage years working for his grandfather, who would pick him up early in the morning and task him with manual labor, such as knocking down walls with a sledgehammer. Work Ethic and Value: Through these experiences, Frank's grandfather taught him that success is earned through hard work, creating value, and perseverance. Connecting with Your Audience: Frank emphasizes the need to be "monumentally impactful" to followers and customers, creating a lasting association with transformation and benefit. The Core Question: Frank poses the essential question: "Who are you to the people that follow you?" and challenges listeners to consider who they want to be and can be to their audience. Key Takeaways Success isn't about doing a million things; it's about finding and leveraging one big thing. A strong work ethic and the ability to handle difficult tasks are fundamental to achieving your goals. Building a meaningful and impactful relationship with your audience is key to long-term business success.  

Let's pull back the curtain on the "AI gold rush" to reveal a staggering reality: last year alone, businesses lost $285 billion on failed AI initiatives. While social media is flooded with "get rich quick" app builders, the corporate world is facing a massive ROI crisis. Brought to you by - http://www.ojoy.ai The Trillion-Dollar Opportunity in 2026 We are currently standing at the precipice of an AI Apocalypse. But for those who know how to navigate it, this represents the single greatest economic opportunity in history. As traditional job markets face a "tsunami" of disruption, a new class of AI Producers is rising to claim the future. Key Highlights From This Episode: The Failure Rate: Why 95% of the $300 billion spent on AI last year failed to produce a return on investment. The 2025-2026 Layoff Wave: Analysis of the 1.17 million U.S. layoffs in 2025 and why companies like Amazon and Meta are pivotally shifting toward AI-integrated roles. The 0.05% Club: Why only 1 out of every 2,000 people actually knows how to build consistent, functional AI applications. The "Magic Trick" to Prompting: Why you should stop telling AI what to do and start asking it how to train itself. Trillion-Dollar Projections: Why the IDC and Pearson project up to $6.6 trillion in losses for the U.S. economy due to AI illiteracy. Critical Stats & Data Mentioned: Statistic Source/Context $285 Billion Total money lost on failed AI projects last year. 1.17 Million U.S. workers laid off in 2025 (Challenger Gray Report). 2.5x Profitability Increase in revenue for companies properly using AI (Accenture). $300 Million Meta's contract offers for top-tier AI talent. "AI is hitting the labor market like a tsunami, and most countries and most businesses are not prepared for it." — International Monetary Fund (IMF) The Producer vs. The Consumer By 2027, if you haven't mastered the ability to make AI work consistently, you risk becoming irrelevant in the white-collar workforce. This episode breaks down how to move from a Consumer—someone who just uses ChatGPT for recipes—to a Producer who can build automated workflows, research tools, and content engines. What's Next? Are you ready to join the 0.05%? Stop watching the "30-second app" tutorials and start learning how to think differently about human-AI collaboration.

The human tendency to seek "hacks" and "loopholes" instead of doing the basic, consistent work required for success. Using personal stories about health and business, Frank explains why the simplest solution is often the most effective—and the hardest to start. Key Takeaways Avoid the "Hack" Trap: Humans naturally seek systems, shortcuts, and loopholes to avoid difficult, obvious truths. The Power of Consistency: Whether it is losing weight or writing sales copy, the secret is simply doing the work every single day. Accepting the "Punch": Success requires getting in the "metaphorical ring" and being willing to fail and get back up again. Volume Leads to Expertise: Mastery, such as becoming an expert copywriter, comes from repetitive practice over a short, intense period. Episode Highlights The 45-Inch Waist Wake-Up Call Frank shares a personal story about a recent doctor's visit where he was confronted with a 45-inch waistline. Despite his immediate instinct to search Amazon for a "hack" or a shortcut, the solution was the one he already knew: eat less and work out more. Business Success is No Different When Frank needed to raise capital for a new company investment—specifically a Rolls-Royce Phantom 8 for client experience—he didn't look for a new "secret" system. Instead, he sat down and did the fundamental task: he wrote a sales letter. The 30-Day Mastery Challenge Frank recounts the story of an 18-year-old student who wanted to be a great copywriter. The advice was simple: write a sales letter every day for 30 days on any topic—from duct tape to water. By doing the work consistently, the student became an expert in just one month. Memorable Quotes "There is always going to be a simple solution... eat less, work out more, and number three, of course, consistently." "There is nothing that is going to make it easier except to quit. If you want to be a champion, you just have to get in the ring." "Step number one: do the work. Step number two: refer to step number one."  

If you are using Artificial Intelligence to build 47 funnels a day and not making any money, it is a trap. Here is how to use AI to actually scale a real business instead of just failing faster. In this video, we break down the fundamental marketing principles that outlast any software update and how to apply them using Artificial Intelligence. Unlike standard tutorials that teach you to spam volume, we reveal the specific data from an MIT study showing why 95% of AI business applications fail to deliver measurable results. You will see exactly how to use AI data analysis to identify your most profitable assets, eliminating shiny object syndrome. We specifically cover the Pareto Principle (the 80/20 rule) and the "Offers + Goodwill x Frequency" framework to predictably scale your existing business. 💥 Get the AI tool built specifically for revenue growth (Free Trial): https://ojoy.ai  👉Watch Next: See how AI replaces a $20K/month marketing team: https://youtu.be/rUGiym9mysk  [TIMESTAMPS]: 0:00 - The AI Funnel Trap (Why Volume Equals Failure) 1:43 - Principle 1: Focus & The oJoy.ai "Chief Revenue Officer" 4:56 - Principle 2: The Vital Few (The 80/20 Rule) 8:04 - Principle 3: Building Evergreen AI Assets (Convert 2.0 Case Study) 12:08 - Principle 4: Moving Prospects Forward (Advanced AI Email Segmentation) 17:07 - Principle 5: The Value Formula & The $352 Billion MIT Study #AIforBusiness #MarketingStrategy #oJoy

"Crystal Ball Marketing," a strategy centered on the "Precursor Effect." This concept involves identifying specific indicators or life events that predict exactly when a marketplace is most likely to need and buy a specific service. By targeting customers at these pivotal moments, businesses can significantly increase conversion rates with less sales effort. Key Takeaways The Precursor Effect Defined: Identifying a life event, calendar event, or business shift that occurs immediately before a customer requires your services. The Marathon Analogy: If you sell cold water at the finish line of a marathon, you don't need a clever sales pitch because the "precursor" (running a marathon) has already created an intense, immediate need. Transference: A precursor strategy that works in one industry (like targeting new movers) can often be successfully applied to another unrelated industry. Case Study: The "Moving" Strategy Frank shares a success story from an inner circle member in the professional services industry who helps people in physical pain: The Precursor: Moving into a new home is a physically demanding experience that often leads to physical pain. The Strategy: The client obtained a list of 540 people who had recently moved and sent them a 1.5-page letter offering a free initial service. The Investment: Approximately $1,000 for the list and mailing. The Results: 8 new customers acquired immediately. $2,500 in immediate cash collected. Over $14,000 in projected lifetime customer value (LTV) within the first year. Industry Examples of Precursors Legal Industry: The implementation of GDPR served as a massive precursor for lawyers to sell updated privacy policies. Home Services: Moving into or out of a home is a primary indicator that a homeowner will need maintenance or repair services. Dentistry: Halloween acts as a precursor for cavity checks due to high sugar consumption. Weight Loss: Holidays like Thanksgiving and Christmas are precursors for weight loss services as people tend to gain weight and seek a "reset" afterward. Action Steps Brainstorm: Spend a few minutes writing down every possible situation or event in a person's life that would make them want your service. Identify: Determine how you can find or "broker" a list of people who have just experienced those specific precursors. Execute: Create a targeted offer for those individuals while the need is at its peak.

Everyone says you need to "Start an AI Agency" to make millions in 2026. And technically, the hype is there ($307 Billion was spent on AI implementations last year). But if you're reading this, you probably know the uncomfortable truth. Most of those projects are failing. The problem isn't the "AI" or the "Client." It's the Learning Gap. Most agencies are selling "tools" (chatbots) when businesses are desperate for "outcomes" (custom automation). The method that actually saved my business $44,000/year—and is generating up to $10 returns for the top 5% of companies—is simple: The Architect Method. So today, I'm going to show you how to stop "prompting" and start "architecting." We are going to build a custom, enterprise-grade solution that replaces expensive software... without writing a single line of code yourself. We analyze the conflicting data between the IDC Spending Report and the MIT Failure Study. We then break down the "Architect" logic that separates the 95% who fail from the 5% who succeed. Finally, we use Claude to run a "Tech Stack Interview" and build a recursive, self-correcting automation system for High Level and Google Workspace. Anyway, here is how we will use AI to stop guessing and start building: Step 1: The "$307 Billion Lie." We look at the stats (95% failure rate) and explain why the "Standard Agency Model" is dangerous for beginners. If you are just selling "implementation," you are selling a commodity. Step 2: The "Learning Gap" (MIT Study). We reveal why AI tools "drift" and fail over time. The secret isn't better prompting—it's building a system that understands your specific Tech Stack context before it writes a single word. Step 3: The "Architect" Protocol. Most people ask AI to "do the work." I show you how to ask AI to "design the blueprint" first. We use the Recursive Self-Correction technique to have the AI write its own Python scripts and fix its own errors. Step 4: The "Tech Stack Interview." We watch live as I get the AI to interview me about my specific setup (High Level, Gmail, Custom Database). This ensures the code it writes actually works for my business, eliminating the "Hallucination" problem. If you want to be part of the 5% making AI work instead of the 95% burning cash, this video shows you the shift you need to make. 👉 Watch Next: Stop Posting Educational Content: https://youtu.be/EgrrgTPf2tI  Timestamps:  0:00 - The $307 Billion Lie (IDC vs. MIT Data)  1:28 - The "Learning Gap" Explained 4:55 - The Top 5% (FullView & IDC ROI Data) 7:25 - Case Study: How I Replaced Freshdesk (Automated Support) 12:04 - Case Study: How I Replaced Hyros (Custom Attribution) 15:39 - The "Architect Method" Defined 17:31 - Step 1: Defining the Outcome (Not the Output) 19:13 - Step 3: The "Tech Stack Interview" Technique 20:35 - Step 5: Recursive Self-Correction (The Secret Sauce) #AIAutomation #BusinessStrategy #FrankKern #AgencyOwner

Stop trying to "force" the sale with big promises. Here is the 1966 psychological secret called Reactance Theory that sells more by promising less. Most business owners think "selling" means making the biggest, boldest claim possible ("Best ever," "Guaranteed"). But according to the Psychological Reactance Theory (Jack Brehm, 1966), absolute statements trigger a "Boomerang Effect" in the human brain, causing prospects to push back. In this video, we analyze the famous "Tomato Ad" control that beat the competition for years by changing just one word. You will learn how to "cushion your claims" to lower skepticism, and I will show you how to use Ojoy.ai to rewrite your aggressive sales copy into high-converting, trust-building assets. 👉 Get the tool I used to rewrite the copy in this video (Free Trial): https://ojoy.ai  🔥 Watch Next: AI Took My Job (Not For Beginners): https://youtu.be/EbS5BWjsrAI  [TIMESTAMPS] 0:00 - Stop Making Big Promises (The "One Word" Secret) 0:30 - The Psychological Reactance Theory (1966) 0:56 - Case Study: The "Tomato Ad" Control 2:23 - Why "Hard Selling" Backfires (The Boomerang Effect) 4:00 - The Art of "Cushioning The Claim" 6:30 - How To "Disqualify" Leads (Advanced Email Strategy) 8:43 - AI Demo: Fixing "Salesy" Copy with Ojoy.ai 13:40 - The "Question Reframe" Technique 15:00 - The Final Result (Before vs. After) #SalesPsychology #Copywriting #Ojoy

Stop using AI to generate generic sales copy. Here is how to use the "Expectation Violation" framework (the same one that took Avis from $25M to $75M) to boost clicks and engagement by 63%. Most business owners use AI to write "better" copy, but they end up blending in. In this video, we break down Expectation Violation Theory—a psychological principle that disrupts viewer patterns to force attention. We analyze the historic Avis Rental Car campaign and a 65,000-ad study by Outbrain to prove why "contrarian" creative wins. You will see a live demo of using Ojoy.ai (Project Papillon) to engineer a "Pattern Interrupt" ad from scratch, combining Human Intelligence with AI speed. This is not about funnel hacking; it's about using behavioral psychology to increase baseline sales (proven by my own 24-73% lift in daily customer data). 👉 Get the tool I used to write the ad in this video (Free Trial): https://ojoy.ai  💥 Watch Next: AI Took My Job https://youtu.be/EbS5BWjsrAI  [TIMESTAMPS] 0:00 - The Missing Ingredient in AI Copy 0:17 - The $50M "Avis" Secret (Expectation Violation) 1:07 - The 65,000 Ad Study (63% More Clicks) 2:00 - My Results: 24-73% Increase in Daily Sales 3:30 - The "Anti-Marketing" Case Study 4:30 - The Ojoy.ai Workflow (Project Papillon Demo) 6:00 - How to Inject "Human Intelligence" into AI 9:30 - Refining the Ad with Project Shepherd 11:05 - Formatting for Social Media (The Final Result) #Hashtags #Copywriting #AIMarketing #Ojoy

Why You're Actually in the Math Business Frank breaks down a hard truth that most entrepreneurs avoid because it isn't "sexy": Business is a math game. Whether you are selling vitamins, courses, or cars, success comes down to understanding the multiplication of capital through the leverage of assets. Frank shares a cautionary tale of a marketing funnel that looked good on paper but failed the "math test," and explains why your focus should be on acquisition costs rather than just "pretty" sales letters. Key Takeaways 1. The "Sexy" vs. "Unsexy" Side of Business The Asset Leverage: Business is ultimately about multiplying capital by leveraging assets like ad copy, web pages, and sales systems. The Math Blind Spot: Entrepreneurs often obsess over the creative (sales letters, offers) but ignore the underlying math that determines if a business is even viable. 2. Case Study: The $500 Course Trap Frank discusses a client's plan to use direct mail to drive traffic to an online funnel: The Cost: Sending a 4-page sales letter first-class costs roughly $1.00 per piece. The Funnel Math: 1,000 letters → 500 readers → 250 website visits → 50 opt-ins. The Problem: At $20 per opt-in, the client needed a 4% conversion rate on a $500 product just to break even. Without a backend or higher price point, the business model was mathematically unsustainable. 3. The Only Equation That Matters To simplify your business, Frank recommends focusing on these core metrics: Cost Per Lead: What does it cost to get someone into your ecosystem? Cost Per Customer: How many leads does it take to get a sale? The Profit Gap: If your cost to acquire a customer is higher than your profit per customer, the business is broken—no matter how good the marketing is. 4. Beware of Small Sample Sizes Frank tells a story of a "scary month" for a radio advertiser: The Panic: The client thought the ads stopped working because sales dipped. The Reality: All top-of-funnel metrics (calls, appointments, show-up rates) remained consistent. The Lesson: With only 20 appointments a month, a small dip is statistically insignificant. Don't blow up a working system because of a "bad" month based on small numbers. Memorable Quotes "The money's not in the list. The money is in the math." "We are really in the multiplication of capital business... it's so unsexy it's hard to even say."

Making decisions is perhaps the most important skill an entrepreneur can possess. To move from a vague idea to a structured project, Frank Kern uses a specific "Decision-Making Worksheet" to ensure every move aligns with long-term success. Phase 1: The Big Picture Before looking at the decision itself, you must ground yourself in your ultimate destination. Clarify Your 20-Year Goal: Define exactly where you want to be two decades from now. For Frank, this is building a sustainable $100M company with a minimum 35% profit margin. Define Your Purpose: Identify the "why" behind your business. Frank's purpose is to have a measurably positive impact on the global economy by changing how consumers view marketers. Identify the Decision at Hand: State clearly what you are considering. (Example: Launching a flagship program to cold media via a webinar funnel). The "Alignment" Gut Check: Ask yourself: Will this move me significantly closer to my 20-year goal? If the answer is no, stop there. Phase 2: Success Criteria & Deadlines If the decision aligns with your goals, you must define what "winning" looks like. Four Indicators of Success: List four specific results that prove the decision was right. Frank's examples include attracting qualified prospects and achieving a 3x ROI on ad spend. Set a Hard Deadline: Determine by when these success criteria must be met to turn the decision into a tracked project. Phase 3: The Benefit Analysis Analyze the impact of the decision across two different timelines: Short-Term Benefits: Immediate wins, such as gathering data, building goodwill, or turning a quick profit. Long-Term Benefits: Lasting impacts, such as business scalability, permanent list growth, and transforming the lives of clients. Phase 4: Risk Assessment (The "Reality Check") It is easy to get caught up in the "happy world" of benefits; this phase demands total honesty about potential downsides. Calculate the Cost: What is the actual financial investment required for the test? Identify What Can Go Wrong: List every fear, from suffering core business distraction to losing the entire test budget or "looking dumb." The Risk vs. Reward Comparison: Compare your "long-term benefits" against "what can go wrong." Ask: Is the potential long-term gain worth the risk of these downsides? Final Step: Immediate Action If you decide the risk is worth it, commit immediately by identifying the three next steps you can take to get the project started today.