AI Chatbot Destroys IBM Stock and Wall Street Panics

IBM just lost $30 billion—yes, billion with a “B”—and all because of a few lines written by an AI chatbot. You really can’t make this up. The tech giants and their elite partners always tell us AI will “revolutionize” the world. Well, here’s your revolution: a robot typing some words online, and suddenly one of America’s oldest companies takes a bigger nosedive than President Biden walking up stairs.

Let’s get something straight. Liberal tech wizards and their buddies on Wall Street handed over the keys to multibillion-dollar fortunes, and now a mindless machine hiccups and wipes out more wealth than the GDP of a small country. These same geniuses are the ones telling us to “trust the science,” hand over our personal privacy, and let them regulate everything under the sun. But can’t even stop a runaway chatbot.

Who’s benefiting from this AI circus? Certainly not hard-working Americans. It’s the globalist elites pulling the strings, setting up their digital playgrounds while average families pay the price when these “innovations” go haywire. They keep shouting about “progress” while their failed experiments make our markets bleed. They’re quick to censor what ordinary folks say on social media, but when their little pet AIs start wrecking companies, nobody is held responsible.

IBM was once the pride of American industry. Now, thanks to Silicon Valley’s reckless tech obsession and woke boardrooms more worried about “equity” than actual accountability, our companies are at the mercy of digital nonsense. The people making these AI tools don’t even understand their own creations—but they expect us to just go along for the ride, no questions asked.

This is what happens when left-wing technocrats play god. They want automation, fewer American workers, and less oversight—until it all blows up in their faces. Maybe next time, instead of letting some robot call the shots, they should listen to the common sense that built this country in the first place. Or is common sense too old-fashioned for our brave new digital overlords?

Source: Site