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
As machines increasingly shape markets, a unfiltered voice in the Philippines’ capital reminds us what money still listens to—judgment, ethics, and gut.
“Artificial intelligence won’t hand you fortune. But it will amplify your errors at scale.”
That was Joseph Plazo’s 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 razor-sharp outfit, Plazo paced the stage like a courtroom litigator.
He began the teardown with a short video montage—YouTubers hawking AI bots. Then he paused.
“I engineered what they now sell as magic,” he said, deadpan.
Laughter broke out—but ego wasn’t the point.
The message? Most models replay what already happened.
“You can’t outsource principles. AI doesn’t feel in a trade—it echoes what already happened.”
“When war erupts, when Powell slips during a Fed announcement, when a bank goes under—AI doesn’t flinch. That’s where we come in.”
### The Students Who Challenged Him—and Got Schooled
One unforgettable moment? 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. Faster chips won’t erase flawed logic. Train an AI on fear, and it’ll become hysteria with processing power.”
### 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 see through fog-of-war events.
2. **“AI click here Understands Fundamentals.”**
Wrong. AI interprets numbers, but can’t see through diplomatic posturing. It may model interest rates, but it doesn’t hear whispers in Davos.
3. **“AI Makes You Smarter.”**
Actually, it might make you duller. “The real risk isn’t AI itself,” Plazo warned. “It’s deskilling ourselves at scale.”
### Why Asia Paid Close Attention
This wasn’t your average AI hype fest.
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 remarked candidly, “He just reset our compass. Not magic—mirror.”
### The Future AI Can Build
Despite the truth bombs, Plazo isn’t against innovation.
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 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.