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
While tech evangelists tout AI supremacy, a defiant voice in Manila issues a sharp reminder that judgment still beats the algorithm—conscience, context, and conviction.
“AI won’t make you rich. But it will make your mistakes faster.”
That was the provocative opener at his standing-room-only 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 leading institutions across Asia.
Plazo—CEO of a firm at the intersection of AI and capital—delivered a roadmap on what AI delivers—and fails to grasp in real-world investing.
And what it still lacks, 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 started boldly 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 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—technically solid, sentiment-scanned, and data-rich.
Plazo nodded thoughtfully. Then said:
“Good. But you missed the BOJ’s stealth bond buy this morning. Your AI doesn’t sense the bluff. It consumes noise.”
The audience leaned read more 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 panic from data. 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 Understands Fundamentals.”**
Wrong. AI interprets numbers, but doesn’t grasp geopolitics. It may track oil supply, but it doesn’t hear whispers in Davos.
3. **“AI Makes You Smarter.”**
Actually, it might lure you into dependency. “The danger isn’t in trusting AI,” Plazo warned. “It’s losing your grip on human reason.”
### Why Asia Paid Close Attention
This wasn’t just another keynote.
Asia’s universities are now home to finance’s future titans. They’re asking: more code, or more conscience?
Plazo’s call: “Harness tech, but stay human.”
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 anti-AI.
He’s building hybrid neural systems—integrating macro signals and crowd psychology.
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 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.