Isaac Newton was the smartest man on Earth, yet he lost the equivalent of $5 million in a market bubble. His warning? "I can calculate the motion of heavenly bodies, but not the madness of people." Is history repeating itself with Artificial Intelligence?

In this episode of The Horizon Shift, host Abhishek Roy follows the money. We move past the breathless headlines to unmask the "Trillion Dollar Mirage." From the staggering $15,000-per-minute operating costs of Big Tech to the "AI-washing" of startups that are nothing more than a pretty interface over someone else’s brain—we’re finding the signal in the noise.

What you’ll learn in this episode:

• The Hype Cycle: Where are we on the curve? (Hint: The drop is coming).

• Wrappers & Mirages: How to spot a 92%-failure-rate "AI" company.

• The Nvidia Factor: Why the world is fighting over "shovels" in a digital gold rush.

• The Great Shakeout: Why the crash of 2000 was the best thing to happen to Amazon, and what that means for your career today.

Missed the start of the journey? Listen to Episode 1: The Ghost in the Machine to understand the "Black Box" math that started it all.

Stop fearing the machine. Learn to drive it.

✨ Subscribe and share this with one person who thinks AI is just magic.

#AI #TechBubble #TheHorizonShift #FutureOfWork #Investing #Nvidia

Isaac Newton was the smartest man on Earth, yet he lost the equivalent of $5 million in a market bubble. His warning? "I can calculate the motion of heavenly bodies, but not the madness of people." Is history repeating itself with Artificial Intelligence?

In this episode of The Horizon Shift, host Abhishek Roy follows the money. We move past the breathless headlines to unmask the "Trillion Dollar Mirage." From the staggering $15,000-per-minute operating costs of Big Tech to the "AI-washing" of startups that are nothing more than a pretty interface over someone else’s brain—we’re finding the signal in the noise.

What you’ll learn in this episode:

• The Hype Cycle: Where are we on the curve? (Hint: The drop is coming).

• Wrappers & Mirages: How to spot a 92%-failure-rate "AI" company.

• The Nvidia Factor: Why the world is fighting over "shovels" in a digital gold rush.

• The Great Shakeout: Why the crash of 2000 was the best thing to happen to Amazon, and what that means for your career today.

Missed the start of the journey? Listen to Episode 1: The Ghost in the Machine to understand the "Black Box" math that started it all.

Stop fearing the machine. Learn to drive it.

✨ Subscribe and share this with one person who thinks AI is just magic.

#AI #TechBubble #TheHorizonShift #FutureOfWork #Investing #Nvidia

Is the era of the human career coming to an end, or are we simply upgrading our tools?

In this episode of The Horizon Shift, we dive into the "AI Revolution" and ask the uncomfortable question: Will AI eventually make every job redundant? We draw parallels between the steam engines of the Industrial Revolution and the LLMs of today to understand if history is repeating itself—or if this time is fundamentally different.

We explore:

• Historical Context: Why the Luddites were (mostly) wrong, and what that means for us.

• The "Human-in-the-Loop" Model: Why collaboration might be our last line of defense.

• Total Automation: Which industries are truly at risk of a "lights-out" future?

• The Last Resume: How to prepare for a labor market where the most valuable skill isn't what you know, but how you direct the machine.

Whether you're an optimist or a skeptic, this episode is a deep dive into the future of how we work—and why we work.

Is the era of the human career coming to an end, or are we simply upgrading our tools?

In this episode of The Horizon Shift, we dive into the "AI Revolution" and ask the uncomfortable question: Will AI eventually make every job redundant? We draw parallels between the steam engines of the Industrial Revolution and the LLMs of today to understand if history is repeating itself—or if this time is fundamentally different.

We explore:

• Historical Context: Why the Luddites were (mostly) wrong, and what that means for us.

• The "Human-in-the-Loop" Model: Why collaboration might be our last line of defense.

• Total Automation: Which industries are truly at risk of a "lights-out" future?

• The Last Resume: How to prepare for a labor market where the most valuable skill isn't what you know, but how you direct the machine.

Whether you're an optimist or a skeptic, this episode is a deep dive into the future of how we work—and why we work.

"We used to write recipes for computers. Now, we’re building minds."

What happens when we create something we can no longer explain? In the premiere episode of The Horizon Shift, Abhishek Roy 🎙️ pulls back the curtain on the "Black Box" of Artificial Intelligence.

We move beyond the hype to explore the moment code stopped being a simple list of human instructions and started becoming a complex web of neural networks—a digital room of a million light bulbs and dimmers that even their creators don't fully understand.

In this episode, we explore:

• The Death of the Recipe: Why traditional programming is being replaced by "learning."
• The 0.042 Mystery: The technical reality of why we can see the math, but not the logic, inside the Black Box.
• The Trust Gap: How "pattern matching" can lead to hidden biases that affect real lives, like our architect, Elias.
• Signal vs. Noise: How to distinguish the genuine "Ghost in the Machine" from the growing "Trillion-Dollar Mirage" of AI-washing.

We are trading human understanding for machine capability. Is the bargain worth it? Join us as we take our first step toward the horizon.

Stop fearing the machine. Learn to drive it.

The future is unfolding. Let's decode it together

"We used to write recipes for computers. Now, we’re building minds."

What happens when we create something we can no longer explain? In the premiere episode of The Horizon Shift, Abhishek Roy 🎙️ pulls back the curtain on the "Black Box" of Artificial Intelligence.

We move beyond the hype to explore the moment code stopped being a simple list of human instructions and started becoming a complex web of neural networks—a digital room of a million light bulbs and dimmers that even their creators don't fully understand.

In this episode, we explore:

• The Death of the Recipe: Why traditional programming is being replaced by "learning."
• The 0.042 Mystery: The technical reality of why we can see the math, but not the logic, inside the Black Box.
• The Trust Gap: How "pattern matching" can lead to hidden biases that affect real lives, like our architect, Elias.
• Signal vs. Noise: How to distinguish the genuine "Ghost in the Machine" from the growing "Trillion-Dollar Mirage" of AI-washing.

We are trading human understanding for machine capability. Is the bargain worth it? Join us as we take our first step toward the horizon.

Stop fearing the machine. Learn to drive it.

The future is unfolding. Let's decode it together