The Limits of AI in Investing:
The Limits of AI in Investing:
Blog Article
Joseph Plazo’s Hard Truths to Asia’s Next Generation of Investors
In an age of algorithmic promises, a bold voice in Southeast Asia issues a sharp reminder that money still bends to human instinct—conscience, context, and conviction.
“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 the region’s next-gen economists and AI thinkers—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 can and can’t do in live-market investing.
And what it can’t do, he stressed, is understand story or nuance.
### Beyond the Hype: Investing in the Age of Overpromised Intelligence
Dressed in a tailored navy suit, Plazo moved like a cross between preacher and prosecutor.
He began the teardown with a short video montage—clips of online traders pushing miracle machines. Then he paused.
“I created the model they ripped off,” he said, matter-of-fact.
Laughter broke out—but that wasn’t the punchline.
The message? Most models replay what already happened.
“You can’t outsource principles. AI doesn’t believe in a trade—it echoes what already happened.”
“When war erupts, when Powell slips during a Fed announcement, when a bank tumbles before markets open—AI doesn’t flinch. That’s where we come in.”
### The Students Who Challenged Him—and Got Schooled
One unforgettable moment? A showdown between machine and instinct.
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. Faster chips won’t purge get more info panic from data. 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.”**
Nope. AI supports—it crunches, optimizes, and speeds up decisions—but it doesn’t replace gut instinct.
2. **“AI Understands Fundamentals.”**
Wrong. AI reads tables, but can’t see through diplomatic posturing. It may model interest rates, but it can’t predict a Strait of Hormuz conflict.
3. **“AI Makes You Smarter.”**
Actually, it might weaken your edge. “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 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 debated what they called a sobering perspective.
One finance dean remarked candidly, “He just reset our compass. Not magic—mirror.”
### The Future AI Can Build
Despite the truth bombs, Plazo isn’t anti-AI.
He’s building hybrid neural systems—fusing bias detection and central bank logic.
His stance? “Ride with it. Don’t abdicate to it.”
“AI doesn’t need more data. It’s starving for judgment. And that still lives in humans.”
The standing ovation was thunderous. And the ripple is still moving in Asia’s halls of learning.
In a world drunk on AI hype, Joseph Plazo offered something rare: intelligence that’s still human.