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 defiant voice in the Philippines’ capital reminds us 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 Joseph Plazo’s unapologetic opener at his overflowing keynote at the University of the Philippines’ amphitheater—and it drew audible gasps from the audience.
In front of him were the region’s next-gen economists and AI thinkers—portfolio hopefuls, quant researchers, and finance scholars from leading institutions across Asia.
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 started boldly with a short video montage—social media influencers promising 90% win rates. Then he paused.
“I engineered what they now sell as magic,” he said, dryly.
Laughter followed—but this wasn’t ego.
The message? Most AI is built on hindsight.
“You can’t outsource guts. AI doesn’t believe in a trade—it mirrors what already happened.”
“When war unexpectedly explodes, when Powell slips during a Fed announcement, when a bank tumbles before markets open—AI doesn’t notice. 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:
“Good. But you missed the BOJ’s stealth bond buy this morning. Your AI doesn’t sense the bluff. It scans headlines.”
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 augments—it backtests, filters, calculates—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 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 read more 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 anti-AI.
He’s building hybrid neural systems—integrating macro signals and crowd psychology.
His stance? “Ride with it. Don’t go on autopilot.”
“It’s not starving for stats. It’s missing context. And that still can’t be coded.”
The applause echoed across campuses. And that jolt of insight is still shaking up syllabi in Asia’s elite universities.
In a world drunk on AI hype, Joseph Plazo offered something rare: intelligence that’s still human.