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 make your mistakes faster.”
That was the provocative opener at his jam-packed keynote at the University of the Philippines’ academic hall—and it landed like a thunderclap.
Facing him were hundreds of future fund managers and technologists—portfolio hopefuls, quant researchers, and finance scholars from leading institutions across Asia.
Plazo—a pioneer in intelligent trading systems—delivered a roadmap on what AI offers—and where it falls short in real-world investing.
And what it misses, he stressed, is think like a human.
### Beyond the Hype: Investing in the Age of Overpromised Intelligence
Dressed in a bespoke ensemble, Plazo commanded the stage with surgical precision.
He opened fire with a short video montage—social media influencers promising 90% win rates. Then he paused.
“I built the system they copied,” he said, dryly.
Laughter followed—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 mirrors what already happened.”
“When war unexpectedly explodes, when Powell coughs during a Fed announcement, when a bank tumbles before markets open—AI doesn’t notice. We do.”
### The Students Who Challenged Him—and Got Schooled
The jaw-dropper? A live AI-vs-human trading duel.
A student from NUS presented an AI-backed trade on the Nikkei—equipped with indicators, trends, and sentiment metrics.
Plazo nodded thoughtfully. Then said:
“Looks clean, but what about Japan’s unannounced intervention?. Your AI doesn’t sense the bluff. It reads tweets.”
The audience shifted. The student shrugged. 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. Infinite processing won’t fix human incentives. Train an AI on fear, and it’ll become a chaos machine.”
### The Three Myths Plazo Shattered in 45 Minutes
1. **“AI Will Replace Portfolio Managers.”**
Not quite. AI assists—it backtests, filters, calculates—but it doesn’t replace gut instinct.
2. **“AI Understands Fundamentals.”**
Wrong. AI reads tables, but fails at narrative causality. 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 clarion call.
One finance dean shared off-record, “This talk shifts the ethical foundation. Not magic—mirror.”
### The Future AI Can Build
Despite the truth bombs, Plazo isn’t against innovation.
He’s building models that read psychology as well as numbers—fusing bias detection and central bank logic.
His stance? “Co-pilot AI. Don’t check here worship it.”
“AI doesn’t need more data. It’s starving for judgment. And that still lives in humans.”
The crowd rose as one. 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.