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 unfiltered 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 replace your instinct.
### 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 followed—but that wasn’t the punchline.
The message? Most AI is built on hindsight.
“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 implodes overnight—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 see the invisible. 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.”**
False. AI assists—it backtests, filters, calculates—but it doesn’t replace hard-earned narrative memory.
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 weaken your edge. “AI won’t kill you—but your laziness might,” Plazo warned. “It’s in forgetting how to think without it.”
### Why Asia Paid Close Attention
This wasn’t a TED-style pep talk.
Asia’s universities are now launching the next generation of quant leaders. 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, “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 get more info data. It’s starving for judgment. And that still lives in humans.”
The crowd rose as one. And his message is still echoing in Asia’s finance incubators.
In a world drunk on AI hype, Plazo gave the crowd what AI can’t: humanity.