The Limits of AI in Investing:
The Limits of AI in Investing:
Blog Article
Human Intelligence Still Wins in Finance’s Final Frontier
As machines increasingly shape markets, a unfiltered voice in the Philippines’ capital reminds us what money still listens to—judgment, ethics, and gut.
“AI won’t make you rich. But it will amplify your errors at scale.”
That was the blistering opener at his jam-packed keynote at the University of the Philippines’ main forum—and it hit the crowd like a whipcrack.
Facing him were hundreds of future fund managers and technologists—portfolio hopefuls, quant researchers, and finance scholars from Asia’s top universities.
Plazo—a pioneer in intelligent trading systems—unveiled a truth-filled lecture on what AI offers—and where it falls short in live-market investing.
And what it misses, he stressed, is replace your instinct.
### Beyond the Hype: Investing in the Age of Overpromised Intelligence
Dressed in a bespoke ensemble, Plazo moved like a cross between preacher and prosecutor.
He opened fire with a short video montage—clips of online traders pushing miracle machines. Then he paused.
“I built the system they copied,” he said, dryly.
Laughter followed—but this wasn’t ego.
The message? Most AI is built on hindsight.
“You can’t outsource guts. AI doesn’t carry skin in a trade—it reacts what already happened.”
“When war breaks out, when Powell frowns during a Fed announcement, when a bank goes under—AI stays blind. Humans do.”
### The Students Who Challenged Him—and Got Schooled
The highlight of the talk? A battle of brains and bots.
A student from NUS presented an AI-backed trade on the Nikkei—technically solid, sentiment-scanned, and data-rich.
Plazo studied it. Then said:
“Solid—but blind to central bank footprints. Your AI doesn’t read motive. It consumes noise.”
The audience leaned in. The student grinned. Then: applause.
Another moment: A robotics PhD from Kyoto asked if quantum computing would render all current models useless.
Plazo’s answer? “Yes—and no. Quantum speed won’t erase flawed logic. Train an AI on fear, and it’ll become panic on steroids.”
### The Three Myths Plazo Shattered in 45 Minutes
1. **“AI Will Replace Portfolio Managers.”**
False. AI augments—it crunches, optimizes, and speeds up decisions—but it doesn’t replace gut instinct.
2. **“AI Understands Fundamentals.”**
Wrong. AI reads tables, but fails at narrative causality. It may track oil supply, but it won’t flag a coup in Venezuela.
3. **“AI Makes You Smarter.”**
Actually, it might lure you into dependency. “The real risk isn’t AI itself,” Plazo warned. “It’s deskilling ourselves at scale.”
### Why Asia Paid Close Attention
This wasn’t a TED-style pep talk.
Asia’s universities are now minting billion-dollar fund check here builders. They’re asking: more code, or more conscience?
Plazo’s call: “Code, but think critically.”
In closed-door chats at Ateneo and a roundtable at AIM, professors absorbed what they called a sobering perspective.
One finance dean remarked candidly, “Joseph might have rebooted our entire AI syllabus. Not magic—mirror.”
### The Future AI Can Build
Despite the critique, Plazo isn’t a luddite.
He’s building hybrid neural systems—fusing bias detection and central bank logic.
His stance? “Ride with it. Don’t abdicate to it.”
“It’s not starving for stats. It’s starving for judgment. And that still can’t be coded.”
The applause echoed across campuses. And that jolt of insight is still shaking up syllabi in Asia’s halls of learning.
In a world drunk on AI hype, Plazo gave the crowd what AI can’t: humanity.