The Limits of AI in Investing:
The Limits of AI in Investing:
Blog Article
Human Intelligence Still Wins in Finance’s Final Frontier
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 make your mistakes faster.”
That was the provocative opener at his standing-room-only keynote at the University of the Philippines’ academic hall—and it landed like a thunderclap.
Before him were hundreds of future fund managers and technologists—rising economists, AI researchers, and budding asset managers 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 actual 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 commanded the stage with surgical precision.
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.
The crowd chuckled—but this wasn’t ego.
The message? AI is retrospective, not prophetic.
“You can’t outsource conviction. AI doesn’t feel in a trade—it reacts what already happened.”
“When war breaks out, when Powell frowns during a Fed announcement, when a bank goes under—AI stays blind. Humans do.”
### The Students Who Challenged Him—and Got Schooled
The highlight of the talk? A battle of brains and bots.
A student from NUS presented an click here 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 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 purge panic from data. Train an AI on fear, and it’ll become panic on steroids.”
### The Three Myths Plazo Shattered in 45 Minutes
1. **“AI Will Replace Portfolio Managers.”**
Not quite. AI supports—it crunches, optimizes, and speeds up decisions—but it doesn’t replace gut instinct.
2. **“AI Understands Fundamentals.”**
Wrong. AI reads tables, but can’t see through diplomatic posturing. It may model interest rates, but it can’t predict a Strait of Hormuz conflict.
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 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: “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 multi-signal trading engines—integrating macro signals and crowd psychology.
His stance? “Let AI drive—but you steer. 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, he delivered the one thing no model ever could—wisdom.