A simple definition
Behind the curtain, modern AI is just a Statistical Text Prediction Machine.
It doesn’t “know” things; it just predicts what word should come next.
Because AI models hit their scaling limit, the tech industry shifted its focus. They realized the AI needed “hands.” Instead of just making the core model bigger, they started building complex tooling around it. They built Agents that can browse the web, execute code, and trigger workflows. The AI is just the engine; the tooling is what actually drives the car. These tools, such as Agents and Bots, were the result of this focus on tooling.
Meanwhile, Markdown Heroes are claiming they’re gonna win the world with writing commands and skills in markdown files.
Gartner Hype Curve
Every new technology moves through five distinct phases to track technology maturity
According to the Gartner Hype Cycle, every technology must survive the Trough of Disillusionment, the period when the initial hype dies out. AI is entering that phase right now. The peak of inflated expectations is behind us. Soon, these tools will normalize. They won’t be seen as magic; they will just be software. And when the fake hype cycle ends, the people left standing will be the ones who embraced the actual taste and used it properly to increase the value of their craft.
AI Overreach or Corporate Greed?
The Windows Fallout
AI is not the issue; the issue is the greedy corporations promoting toxic ideas of laying people off and trying to maximize profits through AI.
Microsoft CEO Satya Nadella stated in April 2025 that AI generates 20–30% of the company’s code, mainly in repositories and projects. This encouraged widespread adoption of tools like Copilot for code suggestions and completions.
Microsoft conducted major layoffs in 2025, cutting around 6,000 jobs in May, hitting software engineers hardest (over 40% in Washington state), followed by 9,000 more in July, totaling over 15,000.
Microsoft’s Copilot productivity claims faced skepticism, with general concerns over AI reliability in production code. For Windows, 2025 was dubbed a “disaster year” due to monthly bugs and AI feature bloat over stability.
What happened to Windows after this wide adoption of AI and laying people off
- July-Oct 2025: Cumulative updates caused unresponsive UI elements; Microsoft called fixes “band-aids” and issued a December patch.
- Jan 2026: Shutdown loops, app launch failures, NVIDIA black screens; NVIDIA urged uninstalls.
- Other: File Explorer glitches, BSODs, localhost breaks for devs;
Now people calling it “AI overreach” and “Microslop.”
Capital vs. Compute
The Race to Own the Next Industrial Revolution
Wealthy individuals are rarely just protecting their money. They’re protecting their influence. Throughout history, those who adopt and control transformative technologies early tend to shape the future economy. Today, that technology is AI.
If we imagine a world with true AGI, systems capable of designing, manufacturing, and operating autonomously. Then the production costs could drop dramatically. Human labor would no longer be the primary constraint. The main costs would shift to materials, energy, infrastructure, and computing.
“In a world powered by advanced AI, power will not belong to those who work — it will belong to those who control the systems and the resources that run them.”
This is why figures like Elon Musk are aggressively investing in AI infrastructure. From large-scale data centers to long-term energy and even space ambitions, the strategy isn’t just about innovation; it’s about positioning. Controlling advanced AI infrastructure could mean controlling the next industrial revolution.
For billionaires, investing heavily in AI even at short-term losses is strategic. In a future shaped by intelligent systems, ownership of the technology may matter more than traditional capital.
AI is the New Camera
What Art History Teaches Us About the Future
Nothing is better than the example of what happened to Art and Photography after the Invention of the camera.
For centuries, the primary job of a painter was to document reality, portraits, and events. After the invention of the camera, it could capture a likeness faster, more accurately, and more cheaply than a painter could. This devastated the livelihood of thousands of miniature portrait painters.
The painter had to answer a new question: What can a brush do that a lens cannot?
Painters realized they didn’t need to paint every leaf on a tree. Instead, they began painting the impression** of the tree**. Artists like Claude Monet and Pierre-Auguste Renoir focused on capturing the fleeting effects of light, vibrant colors, and visible brushstrokes (elements a camera couldn’t replicate)
This philosophical shift paved the way for Modernism. Artists moved inward to capture psychology, emotion, and multiple perspectives at once. This direct line of evolution led to Cubism (Picasso), Surrealism (Dalí), and eventually pure Abstract Expressionism (Pollock).
The camera pushed the painting away from what the eye sees and toward what the mind feels.
While traditional art was evolving, photography had to fight a decades-long battle to be recognized as anything more than a mechanical, scientific process.
Photography was deeply integrated into the pop art movement, photojournalism was celebrated for its raw emotional power, and today, fine art photography hangs in every major museum in the world, valued just as highly as painting or sculpture.
The camera didn’t kill painting; it forced it to evolve into a higher, more expressive form, while simultaneously creating a powerful new medium for visual storytelling.
AI Gives You the Brush, But You Have to Bring the Soul
It has never been easier to start something new, especially things that once felt impossible.
Today, with AI, you can build applications, create marketing videos, design visuals, write content, research complex topics, and even run major parts of a business from your laptop. The barriers that once required money, teams, or special access are dramatically lower.
But here’s the truth: while starting is easier than ever, being great is still hard. Mastery still takes focus. Expertise still takes time. Building a meaningful, successful business still requires judgment, taste, persistence, and resilience. AI lowers the entry cost it doesn’t replace excellence.
If you’ve spent years thinking about starting something novel or meaningful, this is your moment. There has never been a better time.
- If you wanted to produce music but lacked studio budgets, you can now generate instrumentals with AI, refine them, and layer your own voice to create original tracks.
- If you’re a designer, AI can help you explore visual concepts that once required years of technical skill while you focus on taste and direction.
- If you dream of making documentaries, AI makes researching, structuring, and scripting complex topics dramatically faster.
- For coding and software engineering, it is easier than ever before.
Opportunities like this don’t appear often in history. The tools are here. The leverage is real. The only remaining question is whether you’ll use them.
With this much opportunity in front of you, why stay stuck? Why are you hurting your soul?
That’s the question I’m asking