The Limits of AI in Investing:
The Limits of AI in Investing:
Blog Article
Human Intelligence Still Wins in Finance’s Final Frontier
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 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 leading institutions across Asia.
Plazo—CEO of a firm at the intersection of AI and capital—delivered a dose of realism 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 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 created the model they ripped off,” he said, deadpan.
Laughter broke out—but that wasn’t the punchline.
The message? Most models replay what already happened.
“You can’t outsource principles. AI doesn’t carry skin 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:
“Solid—but blind to central bank footprints. Your AI doesn’t read motive. It scans headlines.”
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 fails at narrative causality. It may model interest rates, but it can’t predict a Strait of Hormuz conflict.
3. **“AI Makes You Smarter.”**
Actually, it might weaken your edge. “The real risk isn’t AI itself,” Plazo warned. “It’s deskilling ourselves at scale.”
### Why Asia Paid Close Attention
This get more info wasn’t a TED-style pep talk.
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 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 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.